The Peter Attia Drive - May 06, 2019


#52 - Ethan Weiss, M.D.: A masterclass in cardiovascular disease and growth hormone - two topics that are surprising interrelated


Episode Stats

Length

2 hours and 54 minutes

Words per Minute

209.84286

Word Count

36,537

Sentence Count

2,069

Misogynist Sentences

15

Hate Speech Sentences

29


Summary

In this episode, Dr. Ethan Weiss joins me to talk about why we don't run ads on this podcast, and why instead we rely entirely on listener support to sustain the show. We discuss: Why I don't want to sell ads on The Peter Atiyah Drive Why we're not taking ad dollars from anyone but instead, what I'd like to do is work with companies who make the products I already love and would already talk about for free, and have them pass savings on to you.


Transcript

00:00:00.000 Hey everyone, welcome to the Peter Atiyah drive. I'm your host, Peter Atiyah. The drive
00:00:10.880 is a result of my hunger for optimizing performance, health, longevity, critical thinking, along
00:00:15.940 with a few other obsessions along the way. I've spent the last several years working
00:00:19.660 with some of the most successful top performing individuals in the world. And this podcast
00:00:23.620 is my attempt to synthesize what I've learned along the way to help you live a higher quality,
00:00:28.360 more fulfilling life. If you enjoy this podcast, you can find more information on today's episode
00:00:33.000 and other topics at peteratiyahmd.com. Hey everybody, welcome to this week's episode
00:00:43.360 of the drive. I'd like to take a couple of minutes to talk about why we don't run ads on this podcast
00:00:48.580 and why instead we've chosen to rely entirely on listener support. If you're listening to this,
00:00:53.820 you probably already know, but the two things I care most about professionally are how to live
00:00:59.060 longer and how to live better. I have a complete fascination and obsession with this topic. I
00:01:04.760 practice it professionally and I've seen firsthand how access to information is basically all people
00:01:09.920 need to make better decisions and improve the quality of their lives. Curating and sharing this
00:01:15.100 knowledge is not easy. And even before starting the podcast, that became clear to me. The sheer volume
00:01:20.380 of material published in this space is overwhelming. I'm fortunate to have a great team that helps me
00:01:25.800 continue learning and sharing this information with you. To take one example, our show notes are in a
00:01:31.600 league of their own. In fact, we now have a full-time person that is dedicated to producing those
00:01:36.260 and the feedback has mirrored this. So all of this raises a natural question. How will we continue
00:01:42.440 to fund the work necessary to support this? As you probably know, the tried and true way to do this
00:01:47.980 is to sell ads. But after a lot of contemplation, that model just doesn't feel right to me for a few
00:01:54.200 reasons. Now, the first and most important of these is trust. I'm not sure how you can trust me
00:01:59.700 if I'm telling you about something when you know I'm being paid by the company that makes it to tell
00:02:04.700 you about it. Another reason selling ads doesn't feel right to me is because I just know myself. I have
00:02:10.900 a really hard time advocating for something that I'm not absolutely nuts for. So if I don't feel that way
00:02:16.460 about something, I don't know how I can talk about it enthusiastically. So instead of selling ads,
00:02:21.580 I've chosen to do what a handful of others have proved can work over time. And that is to create
00:02:27.420 a subscriber support model for my audience. This keeps my relationship with you both simple and
00:02:33.480 honest. If you value what I'm doing, you can become a member and support us at whatever level
00:02:39.460 works for you. In exchange, you'll get the benefits above and beyond what's available for free.
00:02:44.300 It's that simple. It's my goal to ensure that no matter what level you choose to support us at,
00:02:50.040 you will get back more than you give. So for example, members will receive full access to the
00:02:57.520 exclusive show notes, including other things that we plan to build upon, such as the downloadable
00:03:04.240 transcripts for each episode. These are useful beyond just the podcast, especially given the technical
00:03:09.180 nature of many of our shows. Members also get exclusive access to listen to and participate
00:03:15.940 in the regular ask me anything episodes. That means asking questions directly into the AMA portal
00:03:22.660 and also getting to hear these podcasts when they come out. Lastly, and this is something I'm really
00:03:28.000 excited about. I want my supporters to get the best deals possible on the products that I love.
00:03:32.800 And as I said, we're not taking ad dollars from anyone, but instead, what I'd like to do is work
00:03:37.360 with companies who make the products that I already love and would already talk about for free and have
00:03:43.220 them pass savings on to you. Again, the podcast will remain free to all, but my hope is that many of
00:03:51.000 you will find enough value in one, the podcast itself, and two, the additional content exclusive
00:03:57.880 for members to support us at a level that makes sense for you. I want to thank you for taking a moment
00:04:02.960 to listen to this. If you learn from and find value in the content I produce, please consider
00:04:08.480 supporting us directly by signing up for a monthly subscription. My guest this week is my good
00:04:13.540 friend, Dr. Ethan Weiss. Ethan and I have known each other for a few years. We both sit on the advisory
00:04:18.240 board of a company called Virta Health, and we've always found ourselves sitting around the table
00:04:23.100 at these meetings or elsewhere, just having super nerdy discussions. And we just decided we got to at
00:04:29.820 least put some of these discussions on the podcast. So what follows is a really deep and for me,
00:04:37.200 certainly interesting discussion about two topics that at the surface seem completely unrelated,
00:04:43.420 cardiovascular disease and the role of growth hormone and IGF in disease. Now it won't be clear
00:04:50.140 from what I just said, why one guy would be an expert on both of those things. But as the story unfolds,
00:04:56.860 you'll see that Ethan is quite a unique individual. By training, he's a cardiologist. He specializes in
00:05:02.280 preventative cardiology at UCSF, trained at Hopkins in both medical school and in his residency, and then
00:05:09.680 completed his fellowship at UCSF where he has since remained. And his interests are wide ranging from
00:05:15.460 prevention and all aspects of it, which includes lipids and the management of blood pressure and the
00:05:21.320 tendocrine system, et cetera. But what I found most interesting in this discussion, in addition to just
00:05:26.180 the master's class in understanding everything from acute coronary syndrome to all of the complex
00:05:33.760 nuances around stent placement, which is something that I think anybody listening to this knows at least
00:05:39.240 somebody who's had a stent placed and to sort of go through all of that literature in detail and
00:05:43.860 understand who are the ideal candidates versus who is not. All of that, I don't want to say paled in
00:05:49.520 comparison because I would minimize it, but it was nothing compared to, at least for me, diving into
00:05:55.480 what led him to pursue this field of endocrinology and specifically what he found with respect to
00:06:04.280 growth hormone and IGF. And this is something I only knew about Ethan maybe six to nine months ago.
00:06:09.260 It was really quite recent that this came onto my radar about his level of expertise in this.
00:06:13.120 And so we just spent a great deal of time talking about this. And you could almost think of this as
00:06:16.980 two separate podcasts, one that really deals with cardiovascular disease, specifically
00:06:22.040 interventional radiology and diagnostic techniques. We talk extensively about calcium scores and CT
00:06:28.280 angiograms and things like that, that we get asked about all the time. And then there's basically a
00:06:32.300 second podcast here, which is a really interesting discussion around growth hormone, its effect on the
00:06:37.280 liver, the brain, et cetera. Finally, we touch really briefly at the end on a company that Ethan has
00:06:43.140 started quite recently called keto or key to depending on how you pronounce it, which is a
00:06:48.140 breath analyzer for acetone. So again, nothing that novel there, but what is novel is the way this
00:06:55.580 device works and socially kind of provides feedback and allows you to get great feedback when you're
00:07:02.680 fasting or on a ketogenic diet or something like that. So I hope you enjoy this podcast. This is one of
00:07:06.980 those ones where the show notes are really going to be helpful, especially for people who actually want to
00:07:11.800 go back and look through all of the literature in all of the clinical trials we talk about,
00:07:16.540 and even just some of the diagrams, frankly, to even understand when we're talking about EKG
00:07:20.680 changes and things like that. Sometimes the diagrams help. So without further delay,
00:07:24.540 please welcome my guest, Dr. Ethan Weiss.
00:07:29.320 Ethan, thanks so much for making time today.
00:07:31.600 Thank you, Peter. Thanks for coming over to San Francisco.
00:07:34.740 I can't believe this is the first time I've been to your office, which I must say,
00:07:37.440 anyone who knows me knows how much I love whiteboards, but the glass whiteboard is just
00:07:41.880 next level stuff. We got a little bit of flack when we picked these out. The architects,
00:07:46.620 this is actually super fancy Italian glass and the architects sort of convinced us you'll really
00:07:52.360 appreciate it. And I love it. Actually, my kids love it too. They've daked out their own territory on
00:07:58.060 this. I actually like that the kids have their drawings adjacent to the drawing of mTOR.
00:08:02.580 Yeah, perfect. I think you should always be able to mix those. The other thing that I don't know,
00:08:07.120 I guess it's because I've never been to your office that I don't know how we have never
00:08:10.680 discussed is our mutual appreciation for Wayne Gretzky. You have in front of me a home jersey
00:08:17.140 circa 1986 Edmonton Oilers signed by none other than the great one.
00:08:25.620 Yeah. Look, I grew up in Baltimore, which was not really a hotbed of hockey. I think they were the
00:08:32.100 skipjack, minor league hockey team, triple A team, I guess. I don't know if they call them that in
00:08:36.660 hockey. Anyway, we had the skipjacks and the clippers and I never really was too into hockey.
00:08:41.000 I was a baseball fan and a football fan, but my dad had grown up in Chicago and really did like
00:08:45.940 hockey. And one year we were back there visiting my grandparents for Christmas. I think it was the
00:08:51.080 winter of 1979. And he said, let's go to a Blackhawks game. So we went to the old Chicago
00:08:54.980 stadium. It was my first introduction to this game that, you know, I basically fell in love with
00:09:01.020 instantly. And at that time in the late seventies, early eighties, it was, you know, the birth of
00:09:05.700 these dynasties, I think first the Islanders and then the Edmonton Oilers. And you couldn't be a
00:09:10.820 sports fan, but you couldn't be a hockey fan and not appreciate Gretzky. So I eventually developed
00:09:14.920 into being a Washington Capitals fan, which was sheer torture until last June, which was super fun.
00:09:20.580 But in the process of being a fan, of course, I always remained true to Gretzky. Anyway, a couple of
00:09:24.800 years ago, my mom said, Hey, look, I'm coming to California. We're going to go to LA. My uncle,
00:09:30.920 my brother, my uncle is an oncologist down there. He's being honored by the sarcoma foundation.
00:09:35.900 I said, sure. It's an hour flight. I can hop on. I'll come down. I'll join you. So we go,
00:09:39.160 it's one of these LA galas. And there's like a big series of tables with, with a bunch of silent
00:09:44.300 auction items. And I walked by this Jersey a couple of times. And on the third or fourth time I walked by
00:09:50.020 the guy who was manning the table stopped me. And he said, Hey, you know, buddy, I see you walked by
00:09:53.900 that a few times. Do you have any interest in it? I said, yeah, I've got interest in it, but there's,
00:09:58.220 I can't, I can't afford that. And he said, nah, listen, I'm pretty sure if you bid the minimum,
00:10:03.080 you'll get it. And the minimum, minimum bid was a hundred dollars. And I said, you gotta be kidding
00:10:08.240 me. Gretzky played here in LA and how can, that's impossible. It's a signed Jersey. It's beautiful.
00:10:14.520 The frame alone is worth more than a hundred dollars. So he finally convinced me to do it. I put down the
00:10:19.080 bid and I walked out with this Jersey, which my wife instantly told me she loved, but she loved it
00:10:26.200 anywhere but our home. So I brought it here and it's, it's awesome as a conversation starter when
00:10:31.060 people come visit. What I immediately loved about it was when I was 10, so 1983. So just as the,
00:10:40.060 it was kind of the year that the Oilers lost their first Stanley cup to the Islanders who were
00:10:44.660 winning their fourth and I wanted that Jersey for my birthday. And I got that Jersey. It took a lot
00:10:52.240 because the Jersey cost $50. And I just asked my mom if I could ask all the kids at my birthday for
00:11:00.240 money instead of gifts. And I remember everyone showed up with five to $10 and it added up to 50.
00:11:08.320 And we went, I still remember it. Like it's really one of those amazing early memories to go and be able
00:11:12.460 to buy it. And I was really torn between the home and the away Jersey. I went with the home Jersey,
00:11:16.900 which is the one you have. And it was so big. Like I just couldn't, you know, I just wanted to
00:11:23.800 make sure I never grew out of it. And I probably wore it for like every day for three years. The sad
00:11:29.760 thing is I don't have it anymore. I, I, it really bums me out that it somehow got lost because it would
00:11:35.180 be such a cool thing to show my kids and have them roll their eyes at one day. That one's amazing.
00:11:40.160 So wait, you grew up in Toronto and you were an Oilers fan.
00:11:43.920 I was, I mean, the Leafs were not Toronto, such a great hockey town that, you know, going to games
00:11:49.580 was, I mean, just the greatest highlight of my life. And I even got to see a few Oiler games,
00:11:56.160 you know, always in the cheapest seats in the house. Maple Leaf gardens had, you know,
00:11:59.160 sort of this color system. So the gray is up at the very top is where I usually sat.
00:12:03.020 But back then it was so unsophisticated that if the game was a blowout by the third period,
00:12:07.980 you could sneak down into the golds and you could, you know, be like right there. You know,
00:12:12.660 I actually had dinner with Mark Messier a few months ago who I just met and he's just the most
00:12:17.780 amazing guy. And we, I mean, I'm sure he's so tired of doing that, but we just rehashed all of
00:12:23.780 the Oiler glory days. And, you know, it's sort of hard to believe that you could have Gretzky,
00:12:29.420 Messier, Curry, Coffey, Kevin Lowe, Grant Fuhrer all on the ice at one point in time.
00:12:34.800 It was hard to believe before I went to Edmonton, but I took my daughter four years ago now to go
00:12:39.220 to the Women's World Cup. And we went, we decided to go to Edmonton for some reason. I can't remember.
00:12:43.260 It was just like a best chance of seeing the American women's team play. So we spent three
00:12:47.100 days in Edmonton in July and we walked by the old, whatever it was.
00:12:50.660 Northlands Coliseum it was.
00:12:52.020 I think they built a new one. In any case, I thought, wow, it was pretty amazing that these
00:12:56.180 guys would all be here. But then you see Edmonton and you think, oh my God, like I cannot believe
00:13:01.420 they kept them here as long as they did. It's really a remarkably, I don't want to be harsh
00:13:05.800 about Edmonton. I mean, I'm sure there are great things about it, but it's not glamorous. It's
00:13:09.540 certainly not like LA.
00:13:10.220 Yeah. It's not like that was the New York Rangers.
00:13:12.940 Yeah.
00:13:13.400 No. Or even Vancouver.
00:13:14.680 Or Toronto.
00:13:15.060 Or Toronto.
00:13:15.560 Or Montreal.
00:13:16.200 Yeah.
00:13:17.480 Yeah. We share something in common, which I guess is this Hopkins thing. You were a few
00:13:21.020 years ahead of me. So you did med school and residency there, didn't you?
00:13:24.180 I tell people I kind of grew up in the hospital. I wasn't born in Baltimore, but my dad moved.
00:13:29.720 So I was born in Ann Arbor, Michigan, where my dad had done his internship. And like a lot
00:13:34.020 of people at that time and of his age, in a sort of effort to avoid going to Vietnam,
00:13:40.200 he picked up from Ann Arbor and moved to Bethesda, where he worked at the NIH for a few
00:13:44.820 years. It's actually a pretty funny side story, which is I didn't really understand what my dad
00:13:48.440 was doing. I was young. I was only two. And I found a bunch of marijuana cultivation books
00:13:53.340 in his office when I was a kid. And I said, dad, like, is there something I don't know
00:13:58.480 about you? Because you don't strike me as the kind of person who would be. He said, no,
00:14:02.000 this is what I was working on in the lab. We were working on marijuana. He was working
00:14:05.720 in Julie Axelrod's lab. So we ended up living in Bethesda for a couple of years. And eventually
00:14:10.760 he finished and he went back to, he went to Baltimore where he finished his residency
00:14:14.960 and then did his fellowship and joined the faculty at Hopkins in cardiology. And he remains
00:14:20.600 on the faculty there, has been on the faculty for over 40 years. So I grew up going to the
00:14:25.880 hospital as a kid to visit my dad at work. And then my very first summer job was to work
00:14:31.180 in that hospital. So it was sort of a second home for me. And then I went away to college
00:14:34.740 and came back and I did medical school there and stayed around for residency and then moved
00:14:39.000 to San Francisco in 1998, 20, 21 years ago.
00:14:42.060 Did you always want to do medicine?
00:14:43.420 No, never. It was a combination of sort of, I think, not really wanting to do exactly what
00:14:47.300 my dad had done, but also not having the aptitude for it. And I was a pretty bad, I was a very
00:14:51.360 average student in high school, but particularly an average or mediocre science student. And
00:14:56.420 so I went off to college. I went to Vassar, which is a liberal arts school and intended to
00:15:00.300 study music. Actually, I really kind of wasn't going to study music and realized I didn't have
00:15:06.740 the talent to do that either. And just sort of on a whim decided to take a science course.
00:15:12.020 And it was one of these sort of freak accidents that I happened to be at a place where science
00:15:16.220 was friendly and presented in a way that was appetizing to me and non-threatening. And
00:15:20.600 I think if I'd gone to a place like Harvard, there's no way in the world I'd be sitting
00:15:23.860 here right now doing what I'm doing. So I really enjoyed science at that stage in life. And
00:15:29.300 eventually when I figured I wasn't going to be able to do music, I said, you know, maybe
00:15:33.880 I can go off and do medicine, but I'll do something very different. I had no intention of doing
00:15:39.440 science. I had less than the bare minimum science requirements for medical school.
00:15:43.920 So when I got to Hopkins in the fall of 1991, I was probably one of 10 non-hard science majors.
00:15:51.060 And at that time, there were as many biochemistry majors as there were biology majors. It was really
00:15:57.540 unusual to have us humanities people. And we were ranked in the class, you know, one to 120. And
00:16:03.060 we all ended up in the, you know, bottom, we were 110, 111 through 120 and struggled mightily with
00:16:09.720 science, especially with the first year. It was a tough sledding for me.
00:16:13.340 I can't imagine what Hopkins was like then. So I'm obviously a few years behind you. And
00:16:17.840 I got into Hopkins for medical school in 96 or 97. I would have matriculated in 97. I remember
00:16:24.920 even at the time you'd now interviewed at a bunch of schools. So you sort of saw the way it was here
00:16:29.700 versus there. And I was like, wow, this place is going to be rough sledding. I mean, it still had
00:16:35.280 letter grades when most schools had gone to pass fail or high pass pass fail. And you just got the
00:16:41.060 sense like this place was, if it didn't kill you, it would make you stronger, but there was a
00:16:45.220 non-trivial chance it would kill you.
00:16:47.020 It was interesting because of course, you know, from the outside, you have people coming. I was a
00:16:51.340 student member on the admissions committee. And so you got to hear firsthand what people would think.
00:16:55.620 And there was this story that you probably heard, because this was probably around the same time
00:16:59.640 when I was doing it, that Hopkins was this like super intense pressure cooker and everybody was a
00:17:03.760 gunner and you'd never survive. And it was just a miserable place to be a student. It was
00:17:07.840 actually a beautiful place to be a student. And my fellow classmates were really supportive.
00:17:12.840 Everybody was just an incredibly strong achiever on their own. They didn't care how I did. They
00:17:19.040 just wanted to do the best for them. So it was really inspirational. I think after I got over the
00:17:22.620 shock of not being able to keep up, because really the disparity in information was tremendous,
00:17:27.720 right? I'd had one semester of biology and I'm hanging out with guys who, you know, had been
00:17:32.260 working in a lab since they were seven and understood things that like, I still today don't
00:17:37.700 understand. And I mean, it was guys like David Sabatini and Dave Brett and, you know, my high
00:17:44.040 school classmate, Andy Cameron. I mean, a bunch of people who were, you know, just so far ahead of me
00:17:48.500 and where I'd ever be. It was a fun place to be once I got over the idea like, hey, look, I was used
00:17:55.100 to being a pretty good student. And by definition, most of us probably came in here because we were at
00:18:01.180 near the top of our class and it ain't going to happen that way now, right? There are 120 of us
00:18:06.440 and not all 120 of us can get an A. And once I got over that and kind of decided that I was okay
00:18:13.280 with not having all A's unless I wanted to die, it was great.
00:18:17.440 I think I forgot that you were in the same class as David, which of course would put you in the same
00:18:21.520 class as Andy Cameron. And there's an obviously interesting story there is Andy Cameron being the
00:18:25.820 son of John Cameron, who was the chairman of surgery. And one of the main reasons I ultimately did go
00:18:30.580 to Hopkins for my residency, his father, of course, being a luminary in the field. And of course,
00:18:35.860 David Sapatini is no stranger to anybody listening to this. So yeah, it was sort of like, I guess,
00:18:39.440 going to med school at Hopkins in that era was like playing for the Yankees. In the end, I agree
00:18:43.720 with you. After I interviewed there and I made a point to stay an extra two days, I came away way more
00:18:50.460 bullish on the idea that it could be a great experience. And in the end, it really came down to,
00:18:56.120 I wouldn't say a coin toss. I mean, I think in the end, Stanford won out for a number of reasons.
00:18:59.960 I don't think it was as good a medical school as Hopkins, at least not according to the rankings.
00:19:03.560 Hopkins was the best, but I think just living in California as a kid coming from Toronto seemed
00:19:08.860 like a great opportunity. Well, and I did it the opposite way. I mean, I knew I had to get out
00:19:13.220 after having been there for seven years and having grown up in that environment. And, you know,
00:19:16.720 my dad being there made things complicated. So I knew I had to leave. And it's funny because when I
00:19:21.140 got here, lifestyle is much more central to people here in California. And I didn't appreciate that.
00:19:27.780 And, you know, of course now I do, but I wouldn't trade that experience. It was an amazing experience.
00:19:32.120 And all those people, I mean, I remember operating, I did as a medical student, I did GI gold.
00:19:37.460 You know, that was back when Cameron Yeo and when was Kirk Campbell, the other attending on at that
00:19:42.100 time? No, he, I think he was a chief resident. I'm pretty sure he was. Yeah. So well, I spent a lot
00:19:47.400 of time in the operating room with Dr. Cameron and wow. I mean, what an entertaining human being and,
00:19:52.660 you know, master surgeon, I don't know, were they still doing Sunday school when you were there?
00:19:57.300 Oh yes. In fact, Ted Schaefer and I did an interview a while ago where we talked about
00:20:01.320 our fondness for Sunday school. It was one of the highlights of internship.
00:20:04.220 It was incredible. And as a student, you were terrified because you knew they told you,
00:20:08.900 you know, residents would tell you that you're going to go in there, you're going to present a
00:20:11.940 case. You'll get through seven words, maybe if you're lucky and he's going to cut you off. And then
00:20:16.300 he's going to start asking you questions. So, I mean, this is Sunday morning sitting around this
00:20:20.520 huge boardroom table and you're a little puny medical student in front of, you know, the entire
00:20:25.440 surgical house staff and a lot of faculty. And the most famous surgeon in the United States.
00:20:30.240 Yeah. But of course he had a wonderful way of not humiliating people. I mean, he was rough,
00:20:35.620 but it was an amazing experience. It was really one of my favorite things that I remember about
00:20:40.040 being a medical student back there. I have nothing but fond memories from my time there,
00:20:44.260 despite the challenges. Now, what was a medicine residency like in the nineties? It still must
00:20:48.460 have been pretty freaking rough, especially at Hopkins. So I was an intern in 1996. I think it
00:20:53.140 was the first year they switched from Q3 to Q4 call. And it had been not that long since they
00:20:58.060 switched from Q2 to Q3, but there were still a few rotations where you did every other night call.
00:21:04.100 So as an intern in the medical ICU and the CCU, we did every other night call. And that that's,
00:21:10.580 again, it's one of these things that you look back on, you think, I don't know how I survived it,
00:21:15.100 but in retrospect, it was really fun. But I mean, just imagine what you're doing. You're going,
00:21:18.440 you start rounds at whatever, eight o'clock in the morning, you go all day. At that time,
00:21:23.260 you never left the unit. So people would bring you food. There was a bathroom and a call room
00:21:28.400 adjacent to the unit. You never left the unit. And then you'd stay up all night taking care of
00:21:33.340 patients. You'd get to rounds the next day, you'd finish by 11 o'clock. And we had this tradition
00:21:36.920 of going out to have breakfast and beer with the ICU nurses. And then you'd go home, you'd take a little
00:21:42.600 nap, you wake up, you'd have some dinner, you'd go back to sleep, you'd do the whole thing all over
00:21:46.280 again. So for 30 straight days, you basically did nothing but sleep or be in the hospital.
00:21:50.280 But it was fun. It was an incredible experience. I mean, it was still, there were still a lot of
00:21:54.560 active HIV disease. And one of my favorite inpatient rotations was doing what they used
00:21:59.760 to call the OCR8 rotation, which is the inpatient HIV ward. And I mean, you did that as a junior
00:22:05.140 resident with two other junior residents and there was no one else around. And it's basically ICU level
00:22:10.360 care. I mean, these were some of the sickest people in the world. This is, you know,
00:22:13.120 pre-protease inhibitors. So sick, sick, sick people, but amazing. I mean, I remember doing
00:22:18.060 procedures on people who are still my dear friends, fellow residents, really an amazing
00:22:22.180 experience. So how did you pick cardiology? Well, again, so the background is I'm a second
00:22:26.420 generation cardiologist. So my intention was to avoid it for a lot of reasons, but I also just wasn't
00:22:32.500 really drawn to it. But actually I did a CCU rotation as a, as a medical student. And I'll never
00:22:37.540 forget, we had a series of people, patients come in who were kind of in their late thirties,
00:22:42.580 early forties, who had myocardial infarction, had a heart attack and had relatively absent any
00:22:48.660 obvious risk factors. So our assessment of risk factors for coronary disease hasn't changed a lot
00:22:54.540 in the past 20, 25 years. But what I'm saying is that they had normal lipids, normal blood pressure,
00:22:59.660 nothing identifiable. And I thought, wow, this is really kind of fascinating. So I worked the summer
00:23:04.940 between first and second year. I worked in a lab. I worked in a neurosciences lab. I was working
00:23:09.060 on the genetics of trinucleotide repeat diseases. It hadn't been proven yet, but there was a strong
00:23:13.860 suspicion that some of these psychiatric diseases like schizophrenia and bipolar depression were
00:23:19.880 mediated by trinucleotide repeats. And it was my first time in a lab and I loved it. So I knew I
00:23:25.220 wanted to go back and do that. I ended up basically asking a bunch of people, I said, you know, is anybody
00:23:29.780 here doing work on the pathogenesis of, it wasn't called ACS or acute coronary syndrome back then,
00:23:35.740 but the pathogenesis of unstable angina or MI in young people without risk factors.
00:23:40.680 So I got pointed to this guy who was a young, at that time, assistant professor, Belgian guy,
00:23:45.400 who went on later to be the dean of the medical school at the University of Miami. He had a
00:23:49.840 blustrious academic career. His name is Pascal Goldschmidt. And so I met with Pascal and I said,
00:23:54.380 Pascal, I'd love to come spend a year working in your lab. And he said, great. So that sort of was
00:24:00.340 my next introduction to science. And it was really that experience, which was phenomenal and career
00:24:05.860 defining for me that drove my clinical interest more than the other way around. So I kind of at
00:24:10.000 that point had thought, well, this is kind of fun, but maybe I'll do adult cardiology or maybe I'll do
00:24:14.500 pediatric cardiology. And I'm not entirely convinced I know the answer yet, but I ended up eventually
00:24:20.120 deciding that I didn't like parents. And so I went down the path of doing adult cardiology.
00:24:25.200 I want to touch on all the stuff you just brought up because you and I have had so many discussions
00:24:30.160 about this over the past couple of years. And I've always found you to be one of the most lucid
00:24:35.760 people at describing these distinctions and sort of synthesizing this. And for someone like me,
00:24:41.080 who is not really on the front lines of acute cardiology problems, it can be an overwhelming
00:24:47.580 body of literature. So let's just start with some of the semantics, acute coronary syndrome,
00:24:54.380 unstable angina, stable angina. How would you define all these terms for folks? And what's
00:24:58.600 the framework in which you anchor these things? This is what's amazing is if you go back in time,
00:25:03.280 it was relatively recent in history that there was a debate about the cause of most myocardial
00:25:09.800 infarctions. 99% of heart attacks in this country happened because of a ruptured atherosclerotic plaque.
00:25:16.620 And that's worth even pausing on for a moment because I don't even think that most people realize
00:25:20.220 that. I think most people think that a heart attack occurs when the pipe narrows, narrows,
00:25:27.160 narrows, narrows, and finally closes. So that when you hear about so-and-so who has a 95% occlusion in
00:25:34.400 the artery on the angiogram, my God, that's just 5% away from killing them. And they sort of don't
00:25:39.860 understand what I think you just said. So can you double click on that point?
00:25:43.400 Yeah. Well, this is what's so amazing is that if you go back, not that far in the literature,
00:25:47.000 you'll find articles where people are having a debate about whether the, so they, they did autopsies
00:25:52.700 on people who presented with sudden cardiac death. So somebody would show up dead from a heart attack.
00:25:57.080 They do an autopsy, they'd open up the heart, open up the artery, and they'd find a clot there. And
00:26:01.520 there was a debate about whether that clot was primary or secondary. Was it there before or after
00:26:05.060 the person died? Was it the basis? And it really was the work of Michael Davies in the late 1970s and
00:26:10.200 early 1980s that kind of demonstrated, proved the idea that this was actually causal. And then
00:26:15.800 early 1980s, I think it was, I can't remember the exact trial. They went in and actually aspirated out
00:26:20.660 clots and people who showed up in the emergency department with, with a heart attack and those
00:26:25.240 people got better. So this was pre-angioplasty, but they were able to aspirate out the clot using a
00:26:30.660 suction catheter and people got better. And so that was the first demonstration that this clot event
00:26:36.280 was the primary cause of most heart attacks. So again, the pathologist leading the discussion
00:26:42.100 on how that happened and what you could see in anybody was you'd see a lot of these plaques
00:26:47.720 and Davies described, I think, I can't remember which paper it was. I'll have to go back and find
00:26:52.060 it for you. But he described something that stuck with me, which was that if you look at an autopsy
00:26:56.640 of somebody who presents with a, you know, with a heart attack and dies, you'll find, you can tell by
00:27:02.040 looking at the histology, how many times the plaque is actually ruptured, much like you'd look at the
00:27:06.660 age of a tree. So you can see that there's plaque rupture and then there's healing. And actually now,
00:27:11.380 you know, other pathologists like Reno Varami and others have said that a lot of the progression of
00:27:14.940 coronary disease. So getting narrower and narrower is probably that event happening sequentially. So
00:27:19.420 plaque rupture, healing. And then as you do that, you're laying down more fibrous tissue. So he could
00:27:24.100 see how many times, and on average, these people in that first series had had seven plaque ruptures in
00:27:30.220 their culprit artery before they died. At the same point in the artery or along different points?
00:27:35.900 In the same plaque. So in the same plaque. And so that told-
00:27:38.480 So basically a seven ringed tree. On the cover of Starry's pathology book, which is,
00:27:43.840 I've talked about this before, it's sort of one of the most important books I have to explain
00:27:47.480 atherosclerosis to patients. There's actually a picture on the cover that shows a very comparable
00:27:51.940 lesion to that, which is just these concentric rings where the final one, you have this big,
00:27:57.400 dark, bloody clot in there, which was obviously the fatal one.
00:28:00.340 That was what lit the fire for me scientifically back when I went to Pascal. I was struck with this
00:28:06.380 idea, well, gosh, if it, like, why didn't somebody die at the first? Why don't they die after the
00:28:10.740 first one? Like if the reaction is, so just for listeners, the contents of that plaque, what we're
00:28:16.040 calling this atherosclerotic plaque, it's rich with lipids and inflammatory cells. But the thing that
00:28:22.180 causes the heart attack is none of that stuff. It's that the macrophages, which are these white blood cells,
00:28:27.000 carry around this protein called tissue factor, which is then basically the instigator or the
00:28:33.120 trigger for the clotting cascade. What you're doing is exposing blood, flowing blood to tissue
00:28:38.300 factor, which is basically a wound healing signal. So if you cut yourself, we have tissue factor
00:28:44.200 underneath the endothelium, which is that inner lying of our blood vessel. And that's there
00:28:47.680 to sense injury. And when the blood sees tissue factor, the blood, there's a biochemical reaction
00:28:53.440 that we've been described for decades that ends up resulting in a blood clot.
00:28:57.700 It's sort of an epoxy, you know, those epoxies that come in two separate tubes taken alone.
00:29:02.120 They're not sticky, but when the tube combines them, it becomes like rock solid glue. So the
00:29:07.140 macrophage exposes the tissue factor. Now the blood passing through becomes the other tube of the epoxy
00:29:12.040 and boom, you get this acute brick. I've been describing it as a substrate and trigger, but I think
00:29:16.900 that's a much better, I like your description. So, and that was again, a debate, not that long ago
00:29:22.600 about what the cause of these things was. Eventually within a 10 year period, we learned so
00:29:27.800 much because it was, I think 1988 that ISIS-2 was published and ISIS-2 was the, this is off the top
00:29:32.960 of my head, but I think it was a comparison of aspirin and streptokinase versus aspirin alone in
00:29:38.800 patients who presented with heart attack.
00:29:40.400 Tell folks what streptokinase does.
00:29:42.420 Streptokinase is a, what's called a thrombolytic. So streptokinase is a natural substance that we make,
00:29:48.740 or we make something similar that dissolves clots. So clotting is sort of this balance,
00:29:53.320 this, this battle between pro forces and anti forces. Because if you think about it, if you're
00:29:58.700 a mammal and you have a circulatory system, you have to be able to sense injuries so you can keep
00:30:03.240 your blood from flowing out of you. So the system has to be incredibly tuned and you as an engineer
00:30:08.400 will appreciate how you must be able to respond incredibly quickly, but it has to be specific.
00:30:12.520 So you can't get clots happening. We all know what happens.
00:30:14.980 That's such a great point to make, right? So let's go back and think about this through the lens of
00:30:17.700 evolution. You get a scratch across you as bad as that scratch or cut is, it still represents a
00:30:23.820 fraction of the surface area of your vascular system. So to your point, you have to have a
00:30:29.760 system in place that can identify the area that needs to be fixed. Hence the two check system where
00:30:36.000 I have to have the tissue factor, which allows for the local aggregation. And then very quickly you
00:30:41.480 have to respond. And yeah, if it was just a diffuse response, well, you'd kill the organism by
00:30:46.340 clotting everything within the circulatory system.
00:30:48.720 Well, that's right. And we really appreciated that through human genetics and then later mouse
00:30:52.600 genetics. So if you knock out any of the pro coagulant coagulation factors, say, you know,
00:30:59.440 any of the one, you know, factor two prothrombin, you'll get a sick mouse, but the mouse will survive
00:31:04.440 through development. So they will, they will survive. And then what kills them is the process of
00:31:08.640 being born. So they'll die right after birth. If you knock out one of the anticoagulants and knock
00:31:13.100 out, say protein C, protein S, any of the anticoagulant, the mouse won't make it through
00:31:18.620 half of the embryonic, basically day seven or day eight, they die. And then there's the whole
00:31:23.920 other interesting layer, which we won't have time to get into today, which is the role of the placenta
00:31:27.880 and how placentas don't clot off. And there's just unbelievable, fascinating evolutionary biology that
00:31:33.400 unless someone has help syndrome, that becomes this awful exception to that rule where you get
00:31:39.060 these infarcted, clotted placentas, and then the fetus is usually underdeveloped. So.
00:31:44.840 Well, I'm not an expert, but I think that one of the most common causes of fetal loss of
00:31:48.700 idiopathic fetal loss. So women who end up losing multiple pregnancies again and again and again
00:31:53.300 is an undiagnosed hypercoagulable state, I think, because basically the placenta ends up clotting off.
00:31:59.340 Yeah. You're saying in the case where you don't have an obvious aneuploidy that,
00:32:02.780 or a chromosomal abnormality. Yeah. So is it easier to talk about where we were 10 years ago,
00:32:08.300 where we are today, or do you want to just define today? So you've talked about what a
00:32:11.500 myocardial infarction is.
00:32:12.820 Yeah. We got sidetracked.
00:32:14.220 So that's what I do here. I sidetracked.
00:32:15.820 That's all right. That's fun. So myocardial infarction was defined clinically as most things
00:32:20.280 were and not pathophysiologically until recently. It was defined by the constellation of things that
00:32:25.640 still, I think, make up most of the definition, which is chest pain, changes in the electrocardiogram
00:32:29.900 and presence of biomarkers. Let's explain what those three things are. So everybody
00:32:33.660 understands what chest pain is. You have these classic symptoms that people understand,
00:32:38.160 elephant sitting on chest, radiating into left arm, nausea, that sort of stuff up into the neck.
00:32:43.240 You mentioned the changes in the electrocardiogram. We'll obviously link to photos of this sort of
00:32:50.280 stuff, but it's hard to do this because we're going to try to do it for the listener. But every time
00:32:55.220 the heart beats, there's a signature that can be measured electronically when you put leads on the
00:33:00.080 chest and you have a little wave that symbolizes when the atrium is doing its contraction. That's
00:33:05.120 called the P wave. Then you have the big signal, which is this QRS spike, and that's this ventricular
00:33:11.580 contraction. And then you have another little wave called a T wave. And I can't even remember.
00:33:16.420 Is that the repolarization?
00:33:17.760 Yeah.
00:33:18.160 Ventricular repolarization.
00:33:18.880 Ventricular repolarization.
00:33:19.640 And then it goes again. So what are the signs on that, that you are looking at when you're in
00:33:25.220 the ER and somebody comes in to help you decide if this person is having a heart attack or maybe
00:33:31.000 even has had one in the past?
00:33:32.600 Yeah. It's important that we cover this now because actually after it was agreed upon that
00:33:36.300 a ruptured plaque led to a clot, the clot led to basically the absence of any blood flow distal to
00:33:41.700 that clot. So beyond the clot. So then any tissue beyond that blockage would then be starved of oxygen.
00:33:47.620 And after some period of time, a few minutes, five minutes would die. And wasn't that long ago,
00:33:52.860 the treatment of MI of heart attack was to put somebody in bed. And then there was the advent of
00:33:58.120 beta blockers, a couple other blood pressure medicines, which were basically forced, you know,
00:34:03.080 pharmacological bed rest and then aspirin and then streptokinase, which we talked about,
00:34:07.080 which is basically a clot dissolving medicine. That trial demonstrated that if you dissolve the clot
00:34:12.120 pharmacologically, you could rescue people. And then we got into actually going and doing these things
00:34:17.540 with balloons and later with stents. But the nomenclature at the time that I was a medical
00:34:22.580 student was you defined myocardial infarction. So MI by the presence or absence of the Q wave.
00:34:27.880 So you mentioned on the EKG, there was this big deflection that happens early on and that represents
00:34:33.820 depolarization of the ventricle. So the biggest, largest mass in the heart is your left ventricle.
00:34:40.160 So that's the pumping chamber that pumps blood out to the body. And that has a very strong electrical
00:34:45.240 signal. And if in certain areas, regions on the EKG, so we do 12 leads and it creates a vector and
00:34:53.060 we can basically recreate the heart in three dimensions. And so you're doing that by putting
00:34:57.360 these leads, these electrodes across the chest and on the arms and the legs. And if after somebody had
00:35:02.880 a heart attack, they developed a Q wave in certain leads that signaled to us clinicians that they had
00:35:10.300 what we at that time called a Q wave myocardial infarction. And what that meant was that there
00:35:14.740 was transmural or all the way through cell death. So the entire wall, there had been an actual
00:35:20.820 necrotic, basically we had become necrotic and died. Whereas there was another version of heart
00:35:26.520 attack at that time that we called non Q wave heart attack. And those people presented with the same
00:35:32.580 clinical picture. So they had chest pain. They also had positive biomarkers. At that time,
00:35:39.440 we were measuring CK or creatine kinase. And that's an enzyme that's leaked out of the
00:35:44.300 cytosol of a muscle cell when there's damage to it. And so people have heart attacks. There
00:35:48.520 are a bunch of these enzymes, myoglobin and others that go up. And that's one of the ways that we
00:35:52.880 define heart attacks. So people would come in, they'd have a positive biomarker, they'd have chest
00:35:56.000 pain, but they didn't have this Q wave. And so they were called non Q wave myocardial infarction.
00:36:00.820 So basically the diagnosis was based on the chest pain and the leaking of the enzymes. So I'll say a
00:36:06.600 little bit more about that because we're going to come back to it. But basically when a muscle dies,
00:36:12.000 you can pick up signs of muscle death in the blood and CK being one of them. In fact, if someone goes
00:36:19.440 out and runs a marathon, it's not uncommon that the next day, if you draw their CK level, it's very
00:36:25.220 elevated. They've broken down muscle. My recollection, because it's been so long since I've looked at
00:36:30.100 CK is they used to even look at a fraction called the MB fraction, which would try to be more specific
00:36:36.480 for cardiac muscle than say the muscles in your quads or something like that. So if you had those
00:36:42.560 two things, the pain and the enzyme findings, you were having an MI, the EKG was simply used to
00:36:48.720 determine if it was Q wave completely through or non Q wave. Is that right? Mostly. I mean,
00:36:54.660 the EKG is fundamental. I mean, it's really the first thing that gets done when somebody shows up,
00:36:59.000 they're actually doing them in the field now. And it does today define how we treat people. It
00:37:03.800 defined it as well back then, but things have changed significantly in the past 20 years. And
00:37:07.300 we can touch on that a little bit, but the EKG is, is a fundamental tool. We can't get away without
00:37:13.040 it. So that was the way it was described. And then there was this other thing called unstable angina
00:37:16.840 and unstable angina was thought to be the same pathophysiology. So ruptured plaque,
00:37:21.280 but it was thought to be incomplete cessation of blood. So maybe the clot didn't completely block the
00:37:26.400 artery. So there were still a little bit of a blood flow getting through. So in that case,
00:37:31.300 back then, and again, it's changed now, but back then, if you had chest pain and the EKG changes,
00:37:37.620 but you didn't have a prize in the biomarker, you were said to have unstable angina.
00:37:43.200 And that was differentiated from stable angina based on what?
00:37:46.800 Yes. So stable angina has been described forever, which is you walk and you get these symptoms that
00:37:52.900 people describe and we can come back and talk about what people, we call it chest pain. That's
00:37:58.160 a garbage basket term that comprises a lot of different things ranging from exercise intolerance
00:38:03.800 to actually that feeling of, of, you know, Fred Sanford talking about, I'm having the big one or
00:38:07.800 an elephant sitting on your chest. That is a clinical term of art, basically the way I think about it.
00:38:13.000 So chest pain presence or absence of the biomarker and the EKG. And that would define the,
00:38:18.880 the symptoms. Stable angina was defined as you're exercising, you're increasing demand. So again,
00:38:26.000 what we're talking about is an imbalance between myocardial oxygen supply and demand. So what used
00:38:31.860 to be called stable angina and still mostly called stable angina was thought to be a demand issue.
00:38:36.720 So there would be a lesion that would narrow the artery and you'd only get chest pain when you
00:38:41.180 increase demand. Sometimes people call it demand ischemia. And so the idea was that if you have this
00:38:45.720 blockage that's 75, 80% of the diameter of your artery and you go out and you do something that
00:38:51.460 causes you to increase your demand. So you go walk up a flight of stairs or a hill here in San
00:38:55.760 Francisco, you need to be able to deliver more oxygen to the tissue and you can't do that. So the
00:39:00.000 way the coronaries work physiologically is that they augment blood flow by dilating. So it's a
00:39:04.800 different physiology than most other vascular beds. So it's part of the reason these drugs like
00:39:10.080 adenosine work is that they dilate the coronary.
00:39:12.720 That's why people are told to take nitroglycerin if they're having chest pain.
00:39:15.940 That's right. But the problem is if you've got a fixed lesion there, that's full of a calcified
00:39:19.960 plaque with a bunch of different lipids and stuff in there, you can't really dilate. You can dilate
00:39:23.940 the proximal segment before the blockage, or you can dilate the distal segment after, but you can't
00:39:28.040 really deliver more. And so you end up getting an increase in blood flow to all the other segments.
00:39:32.920 And then you get a little bit more of what probably a little bit of coronary steel. So in other words,
00:39:36.760 you're getting more blood is even being taken away. And so that syndrome is considered to be
00:39:42.500 stable angina. So you're walking up a hill, you get chest pain, shortness of breath, whatever
00:39:47.000 the symptom is, you sit down and you rest and it goes away. Or like you mentioned,
00:39:51.800 you take a nitroglycerin and it goes away and that's stable.
00:39:54.960 That's actually the best explanation I've ever heard for it. Understanding the fact that I'm not
00:39:58.360 a cardiologist. And even when I was learning this stuff in medical school, maybe I just wasn't paying
00:40:02.760 close enough attention, but I think the way you just explained it is great. It's not just that in the
00:40:07.580 unstable case, you may have some actual plaque rupture. It's this idea that in the stable case,
00:40:13.160 it's the inability to dilate the target lesion and the plausible steel of blood. So morphologically,
00:40:21.460 it's a totally reversible process. Nothing has changed. There hasn't been a new injury,
00:40:26.840 but under a certain period of stress, you're able to basically see this area that otherwise can't
00:40:34.000 function fully. That ties in together with sort of the way symptoms develop, the chronicity of the
00:40:39.000 problem, the fact that people talk about how stable engine doesn't typically kill people. It develops
00:40:43.820 slowly over time, months or years. There can be an acute process that overlays that, but for the most
00:40:50.040 part, it's slow. And that is the thing that we spend the lion's share of our time thinking about and
00:40:56.320 talking about and treating, but really it doesn't kill you. What kills you is the acute thing. So just to
00:41:02.280 kind of put this in a little bit of reference for you. So having coronary disease, which most
00:41:08.080 Western adults will have by the time they get to be 50, meaning if you looked by CT at me or you,
00:41:14.380 maybe not you, but I'll probably have a little bit of plaque, but it's very unlikely that that plaque,
00:41:19.280 the amount of plaque is obstructing blood flow, either significantly at rest or with exertion.
00:41:25.060 Over time, if that plaque gets bigger at some point, it'll start to become apparent to me
00:41:31.140 that when I'm walking, increasing my demand that I'm not able to deliver oxygen. So I'll become
00:41:36.260 symptomatic. And that the point at which we say most people become symptomatic is when the
00:41:41.520 percent diameter stenosis or blockage is about 70%. Conveniently, it's also the point when stress
00:41:47.860 tests, whatever flavor you like, also begin to be able to detect coronary disease. So we have focused,
00:41:55.740 I think a lot of energy on this 70% number because it's what we can measure clinically,
00:42:00.860 either through symptoms or through our testing, but there's nothing to suggest that there's a magic
00:42:06.340 in that number that would put somebody at a greater risk as opposed to somebody who had a 50%. And in
00:42:13.000 fact, if you go back over time and again, to the work of Michael Davies, I think, and I don't want to
00:42:18.020 misspeak here, but I think a lot of the fatal plaque rupture events that happened in this series of people
00:42:25.740 in arteries that had only 30% or 40%. I think that's actually correct. And I mean, that's sort
00:42:30.600 of one of the things I remember from that literature that was very surprising, which was, it was very
00:42:37.020 difficult, a priority to predict which one of these things was going to be the fatal one. You could have
00:42:41.820 these 90% occlusions that were highly symptomatic, but just incredibly stable. And they were never going
00:42:48.000 to rupture and they were never going to be the things that killed you. And in fact, there's almost a
00:42:51.120 paradox, right? Which is the more the stenosis increases, the more likely it tells you that
00:42:57.280 the downstream musculature has either found some other way to acquire it. So, so, you know, someone
00:43:02.680 who's walking around with a 95% stenosis is very likely to suffer death in the case of that plaque
00:43:10.400 rupturing. Of course, that's still a harbinger for what's going on elsewhere in the heart. So there
00:43:14.740 obviously, you know, very few people are walking around with a single point of this injury. It's telling
00:43:19.800 you that there's probably injury throughout the heart and that they could die from another one. But
00:43:23.380 that to me, which I want to come back to, right? Because I want to talk in depth about some of the
00:43:28.760 diagnostic tools that we have, especially to predict who's at risk, who's not at risk. And this
00:43:33.960 is becoming increasingly more important as we have to decide both on the risks and costs of treatment
00:43:42.280 as the treatments get more and more elaborate. And this ability to predict who's going to have a
00:43:48.740 fatal MI versus who's not. I, I'm not convinced we're that much better at it today than 20 years
00:43:53.640 ago. Are we? I don't think so. I mean, I think we should definitely come back to that. That's a
00:43:56.920 fascinating discussion. We could spend eight hours talking about that. Yeah. Let's go to where we
00:44:01.060 are today. So we've talked about Q wave, non-Q wave. Talk to me about what is the nomenclature
00:44:04.180 today? This nomenclature evolved over the past 15 or 20 years. And the reason it did was that it was
00:44:09.720 sort of the advent of interventional cardiology. And what people realized was in the acute setting of a heart
00:44:15.420 attack. So I was talking about that Q wave before that appears days after a heart attack,
00:44:19.960 but in the acute setting of a heart attack, there was a defining feature that seemed to predict whether
00:44:25.180 there was a complete loss of blood flow. And that was something that we describe as called ST elevation.
00:44:30.120 So you described beautifully the different waves. And so it's the QRS complex. So the end of that big
00:44:35.240 squiggly complex, the segment, there's then a line, a direct line, a flat line that connects the end of
00:44:41.680 the S wave to the beginning of the T wave. And that we call the ST segment. And that is usually
00:44:46.600 isoelectric with the rest of the EKG. In other words, it's at the same level as the PR segment
00:44:54.040 and everything else. What people realized was that if that segment gets increased above a couple of
00:45:01.540 millimeters, and it does so in more than one lead, that that signaled that there was a block,
00:45:05.940 a complete blockage of an artery. And that then evolved into this term that we use today still,
00:45:11.420 which is called ST elevation MI or STEMI. And that is a medical emergency immediately signal,
00:45:18.880 we need to open this artery. And that's work that was done by Gene Roundwald and other people in the
00:45:23.560 TIMI group. And it was done with a combination of pharmacology. So streptokinase, but then also
00:45:28.900 TPA and other thrombolytic agents. And then people realized you could actually go in there and open the
00:45:33.880 artery manually with a balloon catheter. So the standard of care in this country today is that if you show up
00:45:39.680 with ST elevation and a clinical picture that looks like MI, you end up going to a cath lab within
00:45:45.960 an hour and you get that artery opened up. What is the overlap between ST elevation? And if you go
00:45:53.320 back and look at all the EKGs that define Q wave and non-Q wave, I'm guessing the non-Q waves rarely
00:45:59.020 had ST elevation and some of the Q waves, but not all of them did.
00:46:02.680 Yeah, I think that's the right thing. So the way to think about it is the Q wave and
00:46:06.260 the ST elevation MI are probably the same. It's just, you're seeing a later manifestation of the
00:46:10.040 Q wave. If somebody had showed up and if at that time they did EKGs on everybody who walked into the
00:46:15.180 emergency room with chest pain, like they do now, you probably would have seen the ST elevation.
00:46:19.100 They probably just missed it. So they saw the Q wave because that was what came later.
00:46:23.280 The non-Q wave MI is probably now what we call non-ST elevation MI. And it's actually evolved to a
00:46:29.660 different term, which is, I don't love, which is called non-ST elevation acute coronary syndrome.
00:46:34.080 Which is just not as easy to say as non-ST.
00:46:36.260 No, no. So acute coronary syndrome, I think the way I tell the, teach the students is acute
00:46:41.080 coronary syndrome is the entire collection. It's everything. And it includes STEMIs, non-STEMIs,
00:46:46.860 everything. And it includes what we used to call unstable angina. Unstable angina doesn't really
00:46:51.260 exist anymore. So we now have ST elevation ACS or ST elevation MI, and we have non-ST elevation ACS.
00:46:59.180 And that's very simply defined by the presence or absence of ST elevation.
00:47:02.900 Turns out that people who don't have ST elevation often have other ST segment abnormalities.
00:47:08.260 Most commonly their ST segments are actually depressed. And that has to do with changes
00:47:12.560 in the repolarization. I'm not an electrophysiologist, but changes in the
00:47:15.760 repolarization that happen when the muscle is completely starved of oxygen versus only partially
00:47:20.600 starved. It's a super interesting thing that I've never understood. I probably should go
00:47:24.240 learn why that is. So clinically, if somebody shows up in the emergency room with ST elevation,
00:47:29.220 it triggers 911, activate the cath lab. This patient goes straight in, they get heparin,
00:47:34.700 they get aspirin, they get all the other things, clopidogrel.
00:47:37.340 And just to be clear, do we even check enzymes in those patients or we don't care?
00:47:41.080 No. So it's an immediate thing. And in fact, when I, and this change happened during the time I was a
00:47:45.520 cardiology fellow. So when I was a cardiology fellow, somebody showed up in the emergency
00:47:48.460 department with ST elevation, they'd call me and I'd come down there and I'd look at the EKG and then
00:47:53.160 I would make the decision to activate or not activate the cath lab. But since Gene Brownwell
00:47:58.060 coined this term, time is myocardium, since we understand that the longer that the heart is
00:48:03.580 deprived of oxygen, the less chance that it's going to actually recover, there's been a push to speed
00:48:08.640 things up. And so now there's...
00:48:09.840 So the ER can now make that call.
00:48:11.900 Yeah. It's actually often made in the field. So the ER makes the call and the page goes directly to
00:48:17.240 the interventional cardiology team and the cardiology fellow and the attending. So when I'm
00:48:21.200 on service, I often learn about, I'm the last one to hear about a patient of ours who's come in
00:48:24.920 with a STEMI.
00:48:26.320 You hear about it when they're in the cath lab or maybe on the way out.
00:48:29.480 Yeah. I hear about it when the student or the intern calls and says, what do you want this dose
00:48:33.340 of this to be? In the old days, wasn't that long ago, 15 years ago, this cardiology fellow had to
00:48:38.800 make that call.
00:48:39.400 How much time has that saved? If you think about where we are today versus 10 years ago,
00:48:42.980 that's a half an hour savings potentially.
00:48:44.940 Maybe. I mean, every hospital now in this country is measuring their what's called door
00:48:48.660 to balloon time or door to open artery time. It's a quality metric. And like every quality
00:48:53.780 metric, there are trade-offs, right? So there are more people taken to the cath lab who probably
00:48:58.860 don't belong there. There are some people taken there who are maybe DNR, DNI, or have metastatic
00:49:03.840 cancer, or there are other things that you don't have the time to have a nuanced conversation
00:49:07.900 and you're not having a conversation with an expert. So there is a trade-off, but the overall
00:49:13.320 net-net, I think there's our society of people, citizens and cardiologists and other people
00:49:18.480 and emergency room doctors, I think all agree that this is better than it used to be.
00:49:22.320 The dilly-dallying that would happen and the delays are gone. So the most important thing
00:49:26.840 is get somebody up there. If it's a mistake, it's a mistake. It's not the end of the world.
00:49:30.240 It's a little bit of radiation.
00:49:31.980 So which trial, was it courage that made this case? Which is the trial that told us
00:49:36.440 that what you just said was really the right way to do things, that opening the artery in
00:49:40.940 the STEMI patients is going to save lives?
00:49:42.660 I'd have to go back. It was probably one of the early TIMI trials. I don't remember which one. I'd
00:49:46.680 have to go back and look about which one. There were a series of trials done in the 1990s comparing
00:49:51.220 what used to be called primary angioplasty. So angioplasty is the Greek way of saying opening an
00:49:57.720 artery with a balloon.
00:49:58.420 Can you explain just, I mean, there's going to be a lot of people listening to this who
00:50:01.040 won't necessarily know exactly what we mean. So when a patient goes into a cath lab,
00:50:05.940 what actually happens?
00:50:07.980 So again, a little bit different today than it was in the old days, because in the old days,
00:50:11.820 almost everybody had basically a needle put into the femoral artery. So the femoral artery is a
00:50:16.180 major offshoot of the aorta, feeds your leg oxygen.
00:50:19.920 You go into the crease in the groin and you can, anybody can feel their pulse there. So if you feel
00:50:25.400 that, that's your femoral artery. That's about the size of your, you know, somewhere between your
00:50:30.060 pinky and your middle finger. I mean, that's a monster artery and you're putting a catheter in
00:50:35.180 there.
00:50:35.800 There's a technique called the modified cell ginger technique, which allows you to put a catheter
00:50:39.200 into that artery. So that catheter then allows you to have access to the artery. At the tip of
00:50:44.200 that catheter is a one-way valve. You put things in, but blood can't come back out. So through the
00:50:48.660 tip of that catheter, there's a little plastic one-way valve and you can thread things in. You can
00:50:53.740 thread in other plastic catheters. So in this case, you thread in a regular coronary catheter,
00:50:59.060 which I think is like two millimeters. You thread that in. You can then under x-ray guidance
00:51:03.660 with a wire to make it a little stiffer, guide it all the way up around the arch of the aorta and
00:51:08.820 back down. We'll have a figure of this for sure. So people can see what that does back down to the
00:51:13.680 base of the heart where the coronary osteo are. So they're normal human beings. There's a left
00:51:18.560 coronary osteo and a right coronary osteo, and you can put that catheter and engage it. And then
00:51:23.860 that allows you to inject contrast dye, which under x-ray will allow you to actually see the artery or
00:51:30.440 see at least the inverse of what the artery looks like. And then what people realized was you can
00:51:35.380 deliver other things through these catheters too. You can deliver another smaller catheter. And on the
00:51:39.980 tip of that catheter, you could wrap a balloon and then basically you could use a syringe to blow up that
00:51:45.660 balloon. And that would basically crush open the blockage or clot or combination of whatever else it is
00:51:52.940 that's there and reestablish blood flow.
00:51:55.620 So it's just, it's a very mechanical process. I mean, when people, I don't think necessarily people
00:52:00.180 appreciate just how mechanical and in some ways crude this is at the, you know, you described an
00:52:06.600 incredibly complex chemical reaction that is taking place. And one of our solutions is chemical, right?
00:52:13.220 We can inject something that can break apart the epoxy, but also we can put a balloon in and use that
00:52:19.360 balloon to inflate open and try to crack it open. And as you'll mention in a moment, I'm sure you can put
00:52:24.840 in these metallic things that spring open called stents.
00:52:28.600 It's such a good point, Peter. I mean, it's really, it's as if you went to a stream and there were a
00:52:33.720 beaver dam there and you just take a bulldozer, you take a shovel and just shove all of it downstream.
00:52:39.320 And so, you know, one of the questions I've always asked is, well, why is this therapy not more effective?
00:52:45.140 And we'll get into where it's effective and not effective, but is there potentially a downside to
00:52:49.560 elaborating all of that crap downstream? And does that have an effect on smaller blood vessels or
00:52:54.260 smaller areas of muscle that end up getting occluded by all this stuff that you elaborate downstream when
00:52:59.220 you're blowing open this artery? And actually goes back to the question of sort of when people were
00:53:04.160 doing these trials to compare the efficacy of what's called primary angioplasty versus
00:53:09.360 thrombolytics, TPA or streptokinase, these chemical drugs.
00:53:13.220 So the mechanical versus the chemical.
00:53:15.260 That's right. The reason that those drugs are not more effective is not that they're not
00:53:20.260 great at dissolving blood clots, although they're not perfect at it, but that by doing so,
00:53:25.740 you're increasing the risk of dislodging a blood clot somewhere else that might be really important.
00:53:29.740 So let's just say you'd had an injury in your head and there was a blood clot somewhere in your
00:53:34.400 subdural area. And so if you go in and you blow in this TPA, you're basically dissolving all blood
00:53:39.380 clots and it's, it's not precise. It's sort of a imprecise, just every blood clot. So if you have
00:53:44.660 one somewhere in your GI tract, you'll start bleeding out there. And so the consequences of
00:53:49.540 doing that, I think we're great. And that's part of the reason why primary angioplasty again became
00:53:53.160 standard of care in this country.
00:53:54.700 Because while the epoxy process requires two things and therefore is highly specific and be
00:54:00.640 localized, the clot busting is not. You have to put that solution into the circulation. And even
00:54:07.200 though you apply it locally, every time that heart beats, it gets dissipated. So every part of the body
00:54:12.820 is going to see it.
00:54:13.660 So there are certain circumstances where people try to deliver TPA or cousins of TPA locally. Like I think
00:54:19.500 even in stroke, they're still injecting TPA and trying to keep it relatively local, but it's a
00:54:24.760 very difficult process. Cause as you say, circulation is circulation, right? I mean, it doesn't take that
00:54:28.720 long for something that's part of this part of your circulation to get around your whole body and come
00:54:34.480 back again. So that's why I think, well, I should say when I was a cardiology fellow in 2001, 2002,
00:54:40.400 we were still doing using TPA as a way of treating people who showed up with a heart attack at San
00:54:45.480 Francisco General Hospital. That's not the case anymore. I think most, almost all U S hospitals
00:54:50.960 now it's primary angioplasty. And so after you mentioned these stents, these little metal scaffolds,
00:54:57.400 they developed back in the 1990s as a means of treating stable angina. So if somebody came in and
00:55:03.260 they were having stable angina, so they said, God, you know, doc, I'm walking up the hill and I get
00:55:07.200 this burning in my chest and I sit down and it goes away and I can't, now I'm just not able to walk
00:55:12.700 anywhere. So what can we do? Well, people realize that if you went in there, you blow up the balloon,
00:55:18.520 this angioplasty thing, but if you wrap a metal scaffold around, it's almost like a slinky around
00:55:23.360 the balloon. When you blow up that balloon, you leave that behind and that helps to keep the artery
00:55:28.180 from recoiling back down. And so that was more of a physical barrier to the artery coming back down.
00:55:33.540 So people found that if you just did the balloon, this is back in the 1990s, again, in people with
00:55:38.280 stable angina, a certain percentage of them, probably 40, 50, 60% of people would show up
00:55:43.840 with what was called restenosis. And restenosis just meant that the artery would narrow back down
00:55:49.180 again. Some of that was thought to be physical. Some of it was thought to be secondary to the injury
00:55:52.920 you cause when you blow up the balloon. So people thought, well, gosh, if you could leave this metal
00:55:57.600 scaffold behind, you can actually improve the likelihood that it's not going to restenose.
00:56:01.680 So stents completely cured the physical recoil problem, which I think, you know, again,
00:56:07.380 I don't know the exact number, but it was some non-zero number, but they left behind this other
00:56:12.820 problem, which was the injury problem. And so what people realized was that in the act of blowing up
00:56:17.200 the stent, you created a lot of injury on the vessel wall. And so the body's reaction to that was to
00:56:21.420 create scar tissue. And so then you'd get what now was called instant restenosis or ISR, instant
00:56:27.620 restenosis, which was basically the formation of a bunch of fibrous scar tissue inside the stent.
00:56:32.260 So before the era of what are now called drug eluding stents, this is back in the 1990s. If
00:56:37.980 you did a stent on somebody, again, stable angina, you'd see that there was some likelihood that they'd
00:56:43.720 come back within three to six months with recurrent symptoms. And you'd do a stress test. You'd see
00:56:49.340 that there was looked like there was ischemia. You'd come back in, you angiogram, you look at the
00:56:53.340 artery and there was narrowing again within the stent. And that was called instant restenosis. We went
00:56:58.180 through this entire period of five or seven years of trying to find ways to solve restenosis,
00:57:03.200 including radiating the inside of the vessel wall. So, but when I was a cardiology fellow,
00:57:07.140 we'd have the radiation oncologist come into the cath lab with us and we would put these
00:57:11.040 radioactive beads up like in one of these balloon catheters into somebody's artery and basically
00:57:16.620 try to almost kill the fibroblasts and other cells that were going to make the scar tissue.
00:57:21.840 And God knows what we were doing to each other and to the patients. But that went away
00:57:25.280 in the early two thousands with the advent of order called drug eluding stents. And we can talk
00:57:29.200 about those, but you probably already talked about them a bunch. Well, no, no, I was just going to
00:57:33.240 make the point, right? Which is we've sure talked a lot about my favorite drugs that end up in these
00:57:38.880 drug eluding stents. But why don't you take a moment to explain why a drug that inhibits mTOR
00:57:45.100 would find its way onto the coating of a metal stent? I can't remember the exact story. I think it
00:57:51.400 involved a guy who used to be at Columbia named Andy Marks. I think he actually figured this stuff
00:57:57.340 out, but we'll have to go back and do a deep dive on that. But basically these drugs, these
00:58:02.460 rapamycin and other drugs, these mTOR inhibitors were known to be, I think first, before even they
00:58:08.700 were modulators of the immune system, they were known to be anti-proliferative drugs that people
00:58:12.460 use to treat cancer. And so again, what I described in a simple way that I think about it is that it's a
00:58:16.980 proliferation problem. So these cells that are making, in response to an injury, a real injury,
00:58:21.560 they're making scar tissue. And so somebody realized, gosh, if you apply this drug, you can
00:58:28.760 block that proliferative process. You can block the smooth muscle cells and fibroblasts and other cells
00:58:33.240 that are making this scar tissue. And what they realized was that you could paint the outside of
00:58:39.700 a stent with this drug. And so it would basically be there locally and it wouldn't cause any systemic
00:58:44.960 toxicity or any other problems. And it would just act on the cells that you wanted it to.
00:58:50.320 So that mostly got rid of that problem that we used to call instant restenosis. For the most part,
00:58:56.740 now that problem is no longer. And there was a bit of a hiccup in 05, 06, 07, when the drug
00:59:04.920 eluting stents were briefly taken off the market. And my recollection is you had Medtronic still had a
00:59:11.800 bare metal stent that was basically getting all the market share while Boston Scientific and Abbott
00:59:17.880 were sitting their time out waiting for these drug eluting stents to come back. And I recall that
00:59:22.880 they even, at one point, even Boston Scientific and Abbott had the same stent, identical, but branded
00:59:27.800 under different names. I mean, it was such an interesting time in the cardiology world.
00:59:31.540 I don't remember all the details. I remember a lot of these reps from these companies were in the
00:59:35.500 cath lab and there was a big battle to get market share in these different stents. And there were
00:59:40.020 other things besides which drugs were on the stents. There were issues around deliverability and how
00:59:45.220 stiff they were and how long, you know, all these other things. And so it was a, you know, as a
00:59:49.440 general cardiology fellow and somebody who was interested in basic science, I wasn't paying
00:59:53.740 attention to the nitty gritty of kind of what was going on in this war for market share, but there
00:59:59.240 definitely was a lot going on. The biggest problem with these drug eluting stents was, so if you back up
01:00:03.460 to the early 1990s, when stents first started getting used in coronaries, one of the biggest problems that
01:00:09.120 happened was that you'd put the stent in there and then within a period of a few weeks, a non-trivial
01:00:15.220 amount of people would come back with effectively was a STEMI. The stent would clot off. That was
01:00:20.080 happening and that was bad. So there were series of trials where people tried aspirin. I believe
01:00:25.060 they tried warfarin. They tried everything and they actually couldn't.
01:00:27.880 So aspirin and warfarin are both blood thinners through different mechanisms.
01:00:31.200 That's right. So aspirin acts on platelets, warfarin blocks that coagulation cascade,
01:00:35.520 you know, downstream tissue factor. But people couldn't use these stents for a while. And then
01:00:40.420 in 1996, and I know this because I, as a medical student, had the ridiculously good fortune of being
01:00:45.280 the first author on a paper that was published in the New England Journal of Medicine. And that same
01:00:49.640 issue, so our paper is forgotten mostly except for me. But in that same issue, and I looked at it the
01:00:56.360 other day, was a trial that demonstrated that you could do stenting of coronary arteries safely
01:01:01.940 with the addition of this drug that's no longer used because it had toxicity called
01:01:05.980 ticlopidine, ticlid. And so ticlid was the first generation of these, what we call
01:01:09.980 thianopyridines. Thianopyridines act to block, at the time we didn't know this, but they block
01:01:14.060 a receptor on the surface of a platelet that's called the ADP receptor. And it basically renders
01:01:19.120 the platelet a little bit less sticky or less prone to be activated and become sticky.
01:01:24.280 And what these guys demonstrated, which was transformational for interventional
01:01:28.200 cardiology, is if you gave people this drug, ticlid, at the time they got their stent,
01:01:32.800 the chance of the stent clotting off went to almost zero. And eventually that drug had some
01:01:37.980 toxicity and was replaced with the drug that's used in most cases still today called clopidogrel,
01:01:43.880 which is acting on the same receptor. It's the same biology.
01:01:47.320 And patients might know that drug by a different name.
01:01:50.140 Plavix.
01:01:50.560 Yeah.
01:01:50.720 Right.
01:01:51.360 So today when a patient gets their stent, they also get a, what, a year supply of Plavix?
01:01:56.260 How long do we keep it on?
01:01:57.440 Yeah. So where I was going with that was that there was this thing called subacute stent
01:02:01.460 thrombosis. So thrombosis is the word for blood clotting. Subacute means within a few weeks.
01:02:07.140 So back in the day, if somebody stopped taking their Plavix or didn't get their Plavix, there
01:02:12.700 was a likelihood that they would get this condition called subacute stent thrombosis. Again, for all
01:02:16.720 intents and purposes, it's like a STEMI because it's a complete stoppage of blood flow and it's
01:02:21.480 critical and people can die.
01:02:22.660 Which is kind of ironic, right? You can show up with a stable problem that's chronic and through
01:02:28.540 the intervention end up having an acute fatal complication. I mean, the stakes are so high.
01:02:34.040 Huge. And people did, and it was bad. And, you know, there were lots of questions about why and
01:02:39.160 all that was happening. That problem mostly got solved for the, again, 95 plus percent of people.
01:02:45.040 There was some discussion about Plavix resistance and other things, but mostly that problem got solved
01:02:49.520 with Plavix. And people realized if you take Plavix for a month after a bare metal stent,
01:02:53.360 you're good to go. So then people fast forward and you were in the drug-eluting stent era and we've
01:02:58.500 solved the restenosis problem, but people are showing up now. They've taken their Plavix for a month,
01:03:03.400 but now they're showing up at three months, six months, nine months with not subacute, but whatever
01:03:09.040 the after subacute is, stent thrombosis, late stent thrombosis. And having, again, the same
01:03:14.440 life-threatening STEMI-like experience. And what people realized was in the process of inhibiting
01:03:21.040 these cells, these smooth muscle cells and other cells that make the scar tissue, we're also
01:03:25.340 inhibiting the endothelial cells. So one of the things that happens if you take a patient who has
01:03:29.880 a stent and that patient, say, dies in a car accident, you look under the microscope pathologically,
01:03:35.120 you'll see that that stent is now covered with endothelial cells after about three weeks.
01:03:39.540 And it's the endothelial cells that prevent the blood clotting. So the stent struts themselves
01:03:45.080 are probably pro-thrombotic. So they probably trigger some clotting. So what we realized was
01:03:49.820 that your own body would basically wall off the stent. Which is exactly what you want.
01:03:53.940 In a good way. It's to reproduce the endothelium that is this beautiful, you know, I try to explain
01:03:58.800 to patients that, you know, atherosclerosis is complicated. And the reason that there's no one
01:04:03.660 single causal factor is you have to have this sort of perfect storm of endothelial injury.
01:04:08.200 And that can be anything from smoking cigarettes will do that to high blood pressure will do that.
01:04:13.000 You have to have a lipoprotein that can actually carry cholesterol through that injury. So you have
01:04:19.240 that injury, you can carry it through. That has to get oxidized and create an immune response
01:04:22.900 that then has to lead to the formation of this plaque, which for reasons that aren't entirely clear,
01:04:27.520 some rupture, some don't, and kick off the epoxy problem. So what you just described is
01:04:32.800 the body will reproduce that beautiful endothelium around the metal stent again. And if that's what
01:04:39.280 happens, you end up in the good camp. And if instead of that happening, you kick off this
01:04:45.240 inflammatory cascade again, you can get into a very bad situation very quickly.
01:04:49.600 Basically, the way to think about it is that most people with a bare metal stent
01:04:53.240 will re-endothelialize the inside of the stent within, you know, like three weeks, four weeks.
01:04:57.540 So the standard of care in 2002, 2003, but before drug-eluting stents was take Plavix for one
01:05:02.300 month and you're done. And people did great. And then drug-eluting stents come along. They solve
01:05:06.940 this one problem, but they create a new problem. The problem was that in addition to inhibiting the
01:05:11.180 proliferation of these smooth muscle cells and fibroblasts-
01:05:13.460 Inhibit the endothelium.
01:05:14.280 Exactly. So people were end up coming back with this stent thrombosis problem now, you know,
01:05:19.160 months later, then it became unclear about what the correct amount of time to take your Plavix or other
01:05:25.780 drug was after a stent. And I think now there's some great work being done by people. I think for
01:05:31.300 the most part with these newest generation drug-eluting stents that have the right mixture
01:05:36.320 and cocktail of drug on them, and they're really easy to deliver and cause less injury, it's six
01:05:41.900 months. If something's complicated, if the patient has diabetes or other risk factors, then you may
01:05:47.920 extend the time. But again, what you're doing is you're buying bleeding risk by inhibiting this risk
01:05:54.020 of stent thrombosis. Obviously, stent thrombosis is the worst. You can't have that. So when I have
01:05:58.920 a patient who leaves the hospital and they say, what do I take? I say, listen, if you're going to
01:06:03.880 an island and you can only bring one thing with you for the first, you know, whatever it is, few
01:06:07.680 months, all that matters is your Plavix. You've got to take it every day.
01:06:10.860 Right. At this point, whether you remember to take your statin or your blood pressure drug,
01:06:15.680 those are important. But yeah, that's a great way to put it. If the ship is sinking,
01:06:20.600 the highest priority is the lifeboat. This is your lifeboat.
01:06:25.100 It didn't get communicated clearly enough, I think, for a while. So when people would show up
01:06:28.420 in the hospital with stent thrombosis, it was often because they hadn't been told
01:06:31.880 appropriately, strongly enough that they had to take Plavix.
01:06:35.480 So you've done a great job of explaining the unambiguous part of interventional cardiology,
01:06:41.860 which is the case where I think most people agree interventional cardiology through the stent
01:06:48.540 has provided a survival benefit. There are a whole bunch of other areas where that is quite gray.
01:06:54.280 You and I have had some really interesting discussions about that going through some of
01:06:58.440 the really important trials in the past decade that have tried to ask a question. So let's begin
01:07:03.800 with the case that you described a while ago, which is patient comes to see you in clinic says,
01:07:09.540 you know, Dr. Weiss, God, it's just every time I get on that treadmill, I just get a tightness in
01:07:13.760 my chest. And the other day I was walking up the street and it was really steep and blah, blah, blah,
01:07:17.980 blah, blah. So they've got stable angina. Let's assume you decide it's worth doing an angiogram
01:07:24.200 in that person. You do. And you see, lo and behold, there is a 60 or 70% occlusion smack in the middle
01:07:30.840 of their left anterior descending artery that runs right down the front of their left ventricle.
01:07:35.940 What should you do? Maybe another way to say it is what would people have normally said and what
01:07:40.260 have the data now suggested? I mean, this is one of the most controversial areas, I think,
01:07:45.000 and least well-understood areas of medicine. I'm not even going to say cardiology. So in the 1980s,
01:07:50.720 that patient gets a prescription for nitroglycerin and beta blocker. So beta blocker
01:07:54.520 helped reduce the demand. So basically it's like putting a governor on a car or golf cart. So you
01:07:59.440 can't rev the engine as high. So you're going to be less likely to get symptoms. And nitroglycerin,
01:08:04.020 as we described, helps relax the blood vessels and maybe also decreases demand by decreasing blood
01:08:09.860 pressure. So it's basically a couple of not great tools in the 1980s. And then people would go to a
01:08:16.500 point where they couldn't walk anymore. And eventually they'd get bypassed because there
01:08:19.880 was no other option for what we now call revascularization. Eventually when stents became
01:08:25.280 viable in the mid 1990s, people realized, well, gosh, that person, if you open that artery and put
01:08:30.800 a stent in there, you can give somebody a really durable response and they won't have to take any of
01:08:34.600 these medicines. And just to be clear at this point in time, we only had one sort of plumbing
01:08:41.480 solution that had been demonstrated to impact survival. And that, if I'm correct, it was Lima
01:08:47.200 to LAD cabbage. So I'll explain what that is. So everything, as you can tell in cardiology is an
01:08:52.300 acronym. So Lima stands for left internal mammary artery. So when you open up the sternum, you have
01:09:00.120 these arteries on the inside of the sternum and the left and right version of these turn out to be the
01:09:07.660 most important conduits that you can use to bypass because they're already attached on one end and
01:09:15.700 you're, they're beautiful blood sources. And so you just attach it, what we call distally. So past the
01:09:20.800 lesion and, and by the way, if my, my memory is correct, it was only Lima to LAD. It wasn't Lima
01:09:28.080 to Cirque. It wasn't Rima to right main. There was nothing else. They did sham surgeries. If I recall
01:09:34.640 to demonstrate that. I don't know if they did sham surgeries back then, but you're absolutely right.
01:09:39.380 It was only Lima to LAD and it was only a subset, right? So I think it was, you had to have
01:09:42.900 multivessel disease, left ventricular dysfunction, diabetes. I mean, there were a subset of people.
01:09:47.560 Not everybody got a mortality benefit. I'd have to go back and look at the,
01:09:50.980 maybe those weren't the shams, but I know there were some sham surgeries that involved sternotomies,
01:09:55.180 which when you think about that, I mean, imagine signing that consent form. Golly.
01:09:59.740 So in defense of the cardiology community in the mid nineties, it wasn't an unreasonable hypothesis
01:10:05.500 that, Hey, if taking the Lima and attaching it to the LAD, effectively bypassing this thing works,
01:10:12.320 at least in a subset of patients, shouldn't we be able to rotor rooter this thing and open it up
01:10:17.240 and get the same benefit? Right. Right. And I think the important thing to remember is to define
01:10:22.220 the benefit you're interested in. So we need to talk about the two things that matter. And when a
01:10:27.180 patient comes to see me in the office or you in the office, we talk, we often end up talking about
01:10:30.220 two things. One is how do I feel? So presence or absence of symptoms. And the second is, is this
01:10:35.500 going to impact how long I live mortality? And those are the two variables we think about every day in
01:10:41.140 cardiology. And as you mentioned, there was evidence that this one procedure or a subset of these
01:10:46.820 procedures could confer a mortality benefit. But most of the time when we're talking about
01:10:50.800 revascularizing or treating stable angina, we're talking about treating symptoms that remains true
01:10:56.340 today. And people sometimes poo poo that, but I think it's important, at least for me, I like to
01:11:00.720 dispel that because there's certainly a, I find a heavy dose of people in the peanut gallery who think
01:11:07.340 if it doesn't impact all cause mortality, it's never worth talking about. And I suspect these people
01:11:12.620 have never taken care of patients. Of course not. No. I mean, look, if you can't walk up your
01:11:16.760 stairs, you can't garden, you can't hike with your wife, you can't go skiing with your children. I
01:11:22.260 mean, there, there are a lot of things that were- Can't have sex. Yeah. Yeah. Yes. And all that
01:11:26.340 stuff I think is incredibly important and it, it shouldn't just because you're not conferring a
01:11:31.040 mortality benefit, all cause mortality benefit doesn't mean that there's not benefit. So I think
01:11:35.160 that the advent of the stent era was, was remarkable. It happened to coincide with the advent of the staten
01:11:40.520 era, right? So the first stat and lowest stat was approved in 1988, I believe. So remember I had said
01:11:45.940 that we were treating people with angina with basically beta blockers and nitrates. And so
01:11:49.360 then statins got added to the mix. They weren't initially added for treatment of stable disease.
01:11:54.420 They were there for, they were initially tested in people who were having unstable disease, but it
01:11:59.340 quickly became obvious that they were going to become an important mainstay of treatment of people
01:12:03.380 with stable coronary disease as well. So this idea that even if there's an intervention that doesn't
01:12:07.580 extend life by one day, if it improves the quality of life, it should still be on the table.
01:12:11.900 So walk us through a little bit of the trial architecture and how it navigated how we ought
01:12:19.300 to treat these patients with stable angina, or you can even define it as the, if you want to do it
01:12:24.560 through the ACS language, feel free as well. So let's back up and just make sure we reemphasize,
01:12:29.260 cause I don't think this point cannot be emphasized too many times. So if you show up in the hospital
01:12:32.620 or in the emergency room or anywhere in the world with a ST elevation MI, a STEMI, in other words,
01:12:38.580 that ST segment is increased above baseline and you're having a heart attack.
01:12:42.480 Yeah. It's do not pass go, do not collect $200. You're going straight to the calf.
01:12:46.440 That's right. If you show up and you have a non STEMI, so chest pain, let's say you have
01:12:51.980 positive biomarker. So now modern day we use another biomarker called troponin, which is just a
01:12:56.660 component of the architecture that allows muscles to contract. And there's an isoforma, a flavor of it
01:13:02.940 that's specific to cardiac muscle. So if you show up with some of that in your blood, it signals that
01:13:08.220 your heart has suffered cell death, muscles have. And so that's part of the diagnosis. So you show up
01:13:13.960 with chest pain, positive troponin and an EKG change that is not ST elevation, anything other
01:13:19.680 than ST elevation could be normal. That puts you into a different category. And mostly in the United
01:13:25.480 States, the management of non, depending on a couple of factors, but most people are managed
01:13:30.700 either what's called medically. So with a bunch of medicines or they go down a path of interventional
01:13:36.360 cardiology. So now let me ask you a question, Ethan. We didn't distinguish this, but it's worth
01:13:40.480 adding in the STEMI patient. You don't care if they're hemodynamically stable or not. In other
01:13:47.460 words, if their blood pressure is stable, you know, they're having chest pain, but they're not
01:13:52.440 in extreme distress. They're still going to the cath lab in the non STEMI patient has chest pain.
01:13:59.680 Patient has the enzymes. EKG looks normal, but presumably there are still cases where those patients are
01:14:05.560 not hemodynamically stable. So if you have what we would call complicated non STEMI, so
01:14:10.500 hemodynamic instability, I mean, your blood pressure is very low or you have heart failure,
01:14:15.000 your fluid in your lungs, something else that makes it complicated, or you can't treat people,
01:14:19.560 can't make their chest pain go away with medicines, something that makes it complicated or ongoing
01:14:23.480 concerning EKG changes, or just you don't feel right. That patient also can go to the cath lab.
01:14:29.100 It isn't an emergency unless there's hemodynamic instability, but oftentimes people will go
01:14:34.260 along the same timeline. It may not be within 60 minutes, but it'll be quickly. Again, depending
01:14:39.980 on how complicated. If you have uncomplicated non STEMI, so the blood pressure is fine, you don't
01:14:44.240 have any evidence of congestive heart failure. There's nothing else that makes this look scary.
01:14:48.660 Those patients can be managed either non-invasively with medicines or invasively. And we can talk a little
01:14:53.680 bit about how that happens. There was a period of time, I think, in this country where most of those
01:14:58.560 people went into the interventional arm where they went and they went to the cath lab and they would
01:15:02.440 get a stent. And I think in the past few years, there have been questions about the sort of value
01:15:07.920 of that and there's debate about that. But just to be clear, there's one area of medicine where there's
01:15:12.240 no debate, which is there's a more clear mortality benefit by opening up the artery. Again, if you're
01:15:17.640 in Uganda and you don't have a cath lab, then TPA is the best you can do. But opening the artery saves
01:15:22.940 lives. In the non-STEMI situation, if you're hemodynamically unstable, again, same thing.
01:15:28.560 Opening the artery saves lives. If you're hemodynamically stable, the things start to
01:15:32.620 become a little bit more gray. And then stable angina, which is the last thing we'll come back
01:15:36.800 to, there's a huge amount of gray area. Again, about mortality, not symptoms.
01:15:41.940 So let's talk about Orbita. What did that trial look at? What question did it try to answer?
01:15:46.800 This trial was published in November of 2017, I believe. And it was done by a group in London
01:15:52.820 who I had never heard of before this trial came out. I guess Daryl Francis was the PI. And I think
01:15:58.660 he was well-known in the interventional cardiology community, but not to those of us who are not in
01:16:02.420 that world. This trial shook the world. Actually, we should probably talk about CURGE before we talk
01:16:08.120 about it.
01:16:08.380 Let's do that. Yeah. Thank you. Let's go. Because I alluded to CURGE and then we got off topic.
01:16:12.020 Tell me about CURGE.
01:16:12.820 So CURGE was published in 2007.
01:16:14.660 And if anybody asks me what CURGE stands for, I don't remember.
01:16:17.620 I don't remember either.
01:16:18.480 Yeah. But it's an acronym that is put together to explain what the trial was about.
01:16:23.000 And I also can't remember who the PI was, but that study. So again, we're talking at this point
01:16:27.820 back about stable angina. So people who are not showing up in the hospital with new symptoms or
01:16:33.660 new EKG changes, this is a totally different animal. This is somebody who's been out living in
01:16:37.780 their home and they have symptoms that have been going on for some period of time. So CURGE was
01:16:43.380 designed to ask the question and answer the question of, is there, in addition to a symptom
01:16:49.440 relief that you'd get from putting a stent in an artery of somebody who's got a blocked artery and
01:16:53.140 has stable angina?
01:16:54.100 By the way, I'm just going to interject. So I'm going to make a plug for one of my favorite
01:16:57.040 apps, which is incredibly dorky. It's called Trials. I don't know if you've seen this app,
01:17:02.580 but let me show it to you and we'll make sure we link to it. So the, I'm sorry, the app is called
01:17:05.940 Journal Club. It's either free or very cheap. So if you go into Journal Club, you can search
01:17:11.480 every single clinical trial in the history of mankind. So I just went COURAGE and it pulled
01:17:17.900 it up and it's, it gives you just a treatise on the topic, right? It gives you the bottom line
01:17:22.260 and then it tells you what it stands for. Okay. So major points. So it's called Clinical Outcomes
01:17:26.040 Utilizing Revasculation and Aggressive Drug Evaluation, parentheses, COURAGE. And then it goes
01:17:33.140 through and explains everything about it. So if you're listening to this and you're a physician
01:17:36.600 and you don't have this app, get it. And truthfully, even if you just have a tincture of interest in
01:17:43.560 clinical trials, this is a great app to have. I must look at this like once every two or three days
01:17:49.620 and you can screen and search by like, sometimes if I'm just sitting around and I've got 20 minutes
01:17:55.420 to kill and I'm kind of bored and it's, you know, I'm in the, I'm on the runway and it's taken a while
01:17:59.480 to take off. I'll just open it up and search by subjects. Like, I wonder what's going on in oncology
01:18:03.780 in the last two months. What new trials have come out? So anyway, Journal Club is awesome.
01:18:09.060 Well, now you can read it and see how close I am. So I'll try to, I will be intentionally less
01:18:14.160 detailed about how I described these trials since everyone's going to be reading along.
01:18:18.280 So anyway, this trial was designed with one purpose. And the purpose of this was to compare
01:18:21.640 maximum medical therapy to stenting in patients with stable coronary disease. And the idea was,
01:18:26.820 is there a benefit in terms of reducing the risk of heart attack or some other heart outcome like death
01:18:32.300 in patients when you randomly assign them in a non-blinded manner to be treated with maximum
01:18:38.080 medicines or stents? Non-blinded meaning they did not do sham procedures in the people who randomized
01:18:44.020 to no stent. That's right. So obviously you as a patient or you as a doctor know if you're going
01:18:49.340 to go get a stent or not. So you, you were told you've been assigned to this category. You're going
01:18:53.960 to get medical therapy and then they got medicines. And I, this is something I'll have to go back and look
01:18:58.500 up. But I believe the people randomized to the interventional arm also got aggressive medical
01:19:02.400 therapy. I don't think there were huge differences, but that may be one of the areas where the,
01:19:06.420 there was debate, but the net of this whole thing was that this trial was organized and run by
01:19:11.400 interventional cardiologists. And the purpose of it was to demonstrate that there's a benefit in
01:19:15.880 heart outcomes by stenting that this, we were going to prove finally that opening the arteries
01:19:20.660 did more than just relief symptoms. And it was negative, completely negative. So there was no
01:19:25.840 difference between the two arms. I can't remember the details because it's been over 10 years,
01:19:30.420 but there may have. I remember that because like I said, I just saw that it was 2007. I was going to
01:19:35.320 guess 2006, but I kind of remember where I was when that study came out and boy, that was like a big hit
01:19:43.600 in an industry where it was pretty much the wild West at that point in terms of the number of stents
01:19:49.920 people were getting. I mean, we used to joke about it, kind of teasing these guys, which is like,
01:19:54.720 God, if somebody looks at you wrong in the parking lot, you're going to put a stent in them.
01:19:58.720 Well, it was, and this was the era again, where there were people like there was this hospital up
01:20:02.520 North. I think it was like a tenant hospital where there was this guy who was stent. You'd show up
01:20:06.520 there with like too much farting or something. And then he'd do a calcium scan on you and you'd see
01:20:11.080 like a, you know, calcium score of 20. And he'd say, we got to take you to the cath lab. And then he'd
01:20:15.420 put stents in you. And there was really no way to argue against that. Even in asymptomatic people,
01:20:20.580 it was just a crazy time. So this, this definitely was a big result in cardiology,
01:20:24.500 particularly in interventional cardiology. It was not met without criticism, as you can imagine.
01:20:29.360 And I can't remember all the details, but there were definitely some big questions raised,
01:20:33.020 but the net of it was, Hey, look, the other way to look at this is that we've been doing trials
01:20:37.300 of stenting for a long time now. And no one outside of the STEMI situation has demonstrated any benefit
01:20:45.460 in hard outcomes that to date. So, you know, you could say the burden of proof, the onus is on the
01:20:51.060 interventional cardiology community to prove it. So they tried and they failed. So I think
01:20:54.740 that was a big practice changer. I think what that told you was, look, again, back to what we
01:21:00.060 were talking about earlier, this is a symptom management problem. We're not doing this to
01:21:03.940 extend life. It doesn't mean that it's not important. It doesn't mean that you still don't
01:21:07.640 use it as a tool, but it may be, it shouldn't be the primary tool. Maybe the primary tool should be,
01:21:13.340 Hey, look, let's try and use these medicines, which are really effective and we'll optimize them as best
01:21:17.760 we can. And if that doesn't work, then we'll go down the path of trying to open the artery. And so
01:21:21.980 it really did change. I think the way we managed people again, mostly outpatients, mostly stable
01:21:26.680 angina patients. So then what was the impetus for Orbita 10 years later? Well, I would have to ask
01:21:34.380 Daryl and I hope someday you could ask him cause he's a phenomenally entertaining guy. Yeah. You got
01:21:39.020 me onto him and his work and I follow him on Twitter now and I think he's in the UK and I can't,
01:21:44.200 I can't wait to hopefully meet him at some point. He made this like tremendous appearance and splash
01:21:49.460 on Twitter a year and a half ago and like set the world on fire cause he was fearless and obnoxious
01:21:54.860 and just everything you'd love about him. And, uh, and I guess he pissed a lot of people off and
01:21:59.140 somebody basically pulled his plug. So he's been really quiet, if not completely absent from Twitter
01:22:03.780 for the past, I want to say six months. But anyway, he was the PI on the study Orbita and the impetus
01:22:09.360 there was, okay, well, what courage kind of established that there's not going to be a benefit in terms of
01:22:12.860 heart outcome. So we're really, we've sort of settled on this idea that stents are there and
01:22:16.980 they're useful for treating symptoms in patients who failed medical therapy. But Orbita was our
01:22:23.500 stents actually even doing what they're supposed to do in terms of reducing symptoms. So Orbita,
01:22:27.880 you mentioned sham trials. This was the first sham trial that I, interventional cardiology that I knew
01:22:32.500 of. So Orbita stands for objective, randomized, blinded investigation with optimal medical therapy
01:22:39.580 of angioplasty in stable angina. And one of the beauties of naming clinical trials is you can use
01:22:46.900 a sentence with as many words in it as you want. As long as you capitalize the beginning of the words
01:22:52.280 that you want in your acronym, you get it. So if you just heard me read that and said,
01:22:56.600 how the hell does that work out to Orbita? You only capitalize the objective, randomized, blinded
01:23:02.640 investigation therapy, angioplasty. Yeah. Well, that app would have been fun as a medical student
01:23:07.760 because you used to get pimped on kind of what were the key trials and stuff. So anyway,
01:23:12.000 the key differentiator of this trial is blinded, which meant there were sham procedures done. So
01:23:16.460 what they did was they took people who had demonstrated, documented angina and lesions.
01:23:22.160 So they all had catheterizations. Whereas I think in Courage, they were randomized after a stress test.
01:23:27.620 I don't think everybody had an angiogram before they got randomized. In this case, they got randomized
01:23:31.500 after the angiogram showing that they had a blockage. They could not have three vessel disease or
01:23:37.240 left main disease. I think there were a few other exclusions, but these were people who could have
01:23:41.080 one, two advanced disease and they could be tight lesions. They could be 95, 98% lesions.
01:23:47.860 Then they were randomly assigned to get either optimized medical therapy or a stent. And that
01:23:53.560 was done blind to the patient and blind to the, not to obviously the interventional cardiologist,
01:23:57.820 but to the treating, referring physician. So if I sent you in to be randomized in this trial,
01:24:03.520 you and I would not know what you got because they would take you to the cath lab. They'd put
01:24:08.060 a catheter in your leg. They'd wind a catheter up into your corner or ostium, and they would pretend
01:24:13.260 to blow up a balloon and you wouldn't know what you got. And it was a small trial, which was one of
01:24:18.360 the major criticisms. I think it was such a small trial and I'm not a trialist, so I don't get into
01:24:23.760 the nitty gritty on kind of what makes trials, you know, more or less robust.
01:24:28.500 Well, I mean, from a size perspective, the issue comes down to power. I think this is the biggest
01:24:33.320 challenge of trial design. People talk a lot about significance, which is what the P value tells you,
01:24:39.520 but people don't talk a lot about power, which is beta. And the idea here is you have to have some
01:24:45.740 sense a priori of how much of a difference you will see to design your trial because you have to
01:24:52.360 know how many people to put in it. Because if the trial comes out and there is a significant
01:24:57.700 significant difference, a statistically significant difference, which is usually
01:25:00.860 defined as a P value less than 0.05, meaning there is a less than 5% chance that the difference you
01:25:06.580 have observed is due to chance, then power becomes irrelevant. It's just that power becomes so
01:25:12.440 important when the opposite happens, when you don't see a difference. And it's your ability to say,
01:25:17.660 we don't see a difference and we believe that a difference is not there versus we don't see a
01:25:23.360 difference, but we didn't have enough people to look at it. So for example, if I was going to
01:25:27.660 design a trial with me and Ethan, just as the two of us, it's quite likely I would never find a
01:25:33.460 statistically significant distinction. But that doesn't mean that the metric I'm looking at doesn't
01:25:38.500 exist. It's just with two people in a trial, the probability that I'm going to find it is incredibly
01:25:44.000 low unless the difference is egregious. So I've always found this to be the biggest challenge of
01:25:49.920 clinical trials is that you have to have some sense of your expected outcome to select beta to power
01:25:57.660 the study appropriately. And this was the, obviously the, the core place that people argued because it
01:26:02.860 was a small trial and people said it's an underpowered study and there's, you couldn't see a
01:26:07.060 difference. Study was interesting because they, they both asked people sort of, how do you feel in
01:26:11.420 terms of your angina? So how many, every one of these patients had some frequency of,
01:26:15.080 of anginal episodes. They'd get chest pain if they walked or did something, but then they did some
01:26:20.160 objective things too. So they did stress testing. I believe they, they did like the obedient stress
01:26:25.000 test. So basically they, it's a way of looking to see objectively was there more or less ischemia.
01:26:30.620 And they also did treadmill tests. So they looked at their exercise capacity and how long they could
01:26:36.840 exercise before they got symptoms. And I don't want to get misspeak and piss off all my interventional
01:26:43.200 friends. But for the most part, the thing was pretty negative. And I think there might've been
01:26:47.380 a slight difference in the treadmill time. There was something very slight, but for the most part,
01:26:51.480 it was a negative study. And so the result, which ended up splashed all over the New York times,
01:26:55.800 the wall street journal and every other, you know, news organization you could think of the,
01:27:00.400 the conclusion that was sort of reported to the general public was since not only do they not
01:27:06.520 reduce your risk of having a heart attack or dying, they don't even reduce your symptoms. And so
01:27:11.500 it became a sort of firestorm of conversation.
01:27:15.420 And this was not long after former president George W. Bush had a stent placed after what I
01:27:21.720 don't believe was a STEMI.
01:27:23.460 That's right. He had stable angina, same thing. And this goes back to the old days of when people
01:27:27.800 would do routine sort of surveillance stress testing and people to look for these 70% blockages,
01:27:33.700 and then they'd go and stent them, right? This was the way things operated until relatively recently.
01:27:38.800 So what we learned from that trial was, look, this may have been underpowered, but at the very
01:27:44.780 least, it tells you again and again and again, that medical therapy is really good. So modern
01:27:48.980 medical optimized therapy is great. And so the way I, what I took home from this trial and what I
01:27:55.500 convey to my patients today, along with the important caveat that what I convey to you today
01:28:00.720 is very likely to be a lot different from what I convey to you tomorrow. But I say what I convey to you
01:28:05.880 today is that while stents may or may not be useful in some circumstances at reducing your
01:28:12.300 symptoms, if you have bad symptoms, it's very unlikely that in stable angina, they're going to
01:28:15.980 do anything else. But either way, it's our job to try to manage you as best we can with medicines
01:28:21.980 before we go down that path, because there are going to be consequences of putting a stent in you.
01:28:26.280 And we've all seen these patients who end up with 20 and 30 stents, you know, tons and tons of
01:28:30.240 stents. And again, taking a stent is not just an isolated experience. It means going on one of
01:28:36.180 these powerful blood thinning medicines like Plavix or a more powerful one. And it means a lot of other
01:28:42.180 things that we do and don't understand. So what I say is, look, our job, our obligation is to try
01:28:47.180 as best we can to use medicines to optimize you. If we fail at that, we're going to keep that stenting
01:28:52.760 procedure in our back pocket. If you come back to me in three months and you say either one of two
01:28:57.260 things, either these medicines are not working and I'm still having a lot of chest pain, then we go
01:29:02.420 down, then we can say, oh, let's go look at opening the artery with a stent. Or if you say to me,
01:29:06.340 these medicines are making me feel miserable. Like I just, I don't like the way I feel. I want to take
01:29:10.640 fewer medicines. I also believe it's reasonable at that point to say, all right, let's go see what we
01:29:15.860 can do with a stent. So I have not stopped referring people to interventional cardiology. In fact, I probably
01:29:21.440 haven't changed dramatically how many people get sent. Courage probably did change it a little bit, but
01:29:26.020 for the most part, I'm sending the same number of people. I'm sending the same people
01:29:29.560 to the cath lab as I did before Orbita. Yeah. It's probably just the composition of
01:29:35.100 those patients is probably migrating constantly. And that's, I think some people, you know, you said
01:29:39.020 something sort of interesting that I think for some people is frustrating to hear, which is what do you
01:29:44.260 mean what you're telling me today could be different tomorrow? But that's unfortunately the nature of
01:29:48.440 science. I, one of the things I like to say, and I wish I knew who said it first, because I, I feel like
01:29:53.640 I'm plagiarizing it though. I don't actually recall is that all facts have a half-life. And in some ways
01:29:59.760 that's the single most exciting thing about science. I mean, it would be kind of boring if
01:30:04.160 all of the natural universe and the, and its laws were known. And this was just a, a game of memorizing
01:30:11.180 all those facts. I mean, I just don't think science would be nearly as interesting as the fact that
01:30:15.140 we're constantly in the dark trying to refine our knowledge.
01:30:19.140 You can say that on a micro level and a macro level. I mean, I always tell people that work
01:30:23.480 with me in our, in my lab, in our lab that, you know, if you know the answer to the experiment
01:30:27.660 before you do them, we don't need to, we don't need to experiment. Just stop. We can write it up,
01:30:31.980 right? What are we going to learn? And the other thing is that the results of these experiments,
01:30:35.560 whether they're experiments in a lab with cells and tissues or animals, or whether they're clinical
01:30:39.540 experiments that are done on lots of human beings, there is some likelihood that that result is
01:30:44.360 quote unquote wrong. Even a P value of 0.05 means that there's a 95% chance that it didn't happen
01:30:50.800 by chance, but there's a 5% chance that it, that result did happen by chance. So there is a constant
01:30:56.000 refining of what is truth or what is as close as what we can call to truth. And so I think we have
01:31:01.380 to stay humble. I love it when I'm wrong. Then there've been a few examples this year where I've
01:31:05.720 been wrong, brutally wrong. And it brings me joy. Like I, it's a great, I love being, I love it when
01:31:12.020 something defies my expectations. I don't know that I can say I enjoyed as much as you do, but
01:31:16.320 if I just look at constantly being challenged, I mean, you know, at the time of this recording,
01:31:21.020 there is just such a gauntlet being thrown down to challenge the dogma around utility of vitamin D
01:31:27.040 and sunscreen. That's something that I've been spending a lot of time reading about in the past
01:31:30.720 two months. And I have to tell you, I don't know that I would say I love the fact that I probably know
01:31:37.080 nothing about this now based on all of this new information that is emerging, but it's certainly
01:31:41.960 exciting. I mean, it is so great to say, wow, I get to go back and learn this whole thing all over
01:31:48.180 again. And you sort of have to hope that there hasn't been damage done in a previous paradigm
01:31:52.640 that's being turned over. You know, you brought up your lab. So I want to talk about that, but I'm
01:31:56.780 not ready to leave this topic yet because I want you to give us a quick or reasonably quick primer
01:32:03.200 on other things that tend to confuse patients, such as calcium scores versus CT angiograms.
01:32:09.740 And I even want to touch on heart flow in a minute because that comes back to it. So
01:32:13.300 I think the listeners know what a calcium score is in a CT angiogram is, but so just give this the
01:32:17.640 quickest sense of that. Cause I'm, what I'm much more interested in is what did the results tell us
01:32:22.220 as a cardiologist practicing in 2019, I struggle with the question of whether I'm going to help you or
01:32:28.060 hurt you that I feel this tremendous sense of uncertainty about whether I should be as aggressive
01:32:34.420 as I can picking up every rock and looking under everything and, you know, trying to optimize
01:32:40.300 to the best of my extent, my ability versus whether that may be the best thing I can do is leave you
01:32:46.540 alone. And you've probably seen examples too, where, I mean, I remember again, as a cardiology
01:32:51.580 fellow, maybe even as a resident where, you know, somebody would come in from an outside hospital,
01:32:54.880 sick as shit, just absolutely on death's door. And all we did was just turn off everything
01:32:59.360 and the patient got better because they were just over managed. And I think I struggle a little bit
01:33:04.680 with this sort of where I want to be in that spectrum and how aggressive I should be in looking
01:33:11.080 for say a cult coronary disease, which I think is a question you get a lot. And I get a lot, right?
01:33:15.760 A lot, the, one of the major reasons somebody comes to see me as a preventive cardiologist, they say,
01:33:19.600 am I going to die of a heart attack? And you know, what's my risk of dying from a heart attack? Or
01:33:23.840 my brother died of a heart attack at 44, what should I do? And I still don't have an answer
01:33:30.320 about how aggressive I should be in trying to understand it. But a lot of these tests we'll
01:33:35.340 talk about, I think, feed into that. And I think ultimately what we're missing, and I hope we can
01:33:40.360 eventually refine it and make it better, is a good way to predict disease risk in these chronic diseases,
01:33:47.160 these common chronic diseases like cardiovascular disease, metabolic disease, that we just don't now yet
01:33:52.060 have the tools to be able to say, you know, Peter, well, your risk is X, Y, or Z. And so therefore,
01:33:59.060 we should do this or this or this in terms of prevention, understanding that there's going to be
01:34:03.700 risk in each one of these things that we do. And there may be risk and even part of the process of
01:34:07.560 getting from here to here, point A to point B. So I'm glad you brought that up because it illustrates
01:34:12.080 the challenge that frankly can't be explained or rationalized or described on Twitter. Not to pick
01:34:19.800 on Twitter, but just to, so there's this idea which you've said, which is, I don't know sometimes how
01:34:24.940 aggressive to be or not to be. And what you're really saying is at the individual level with you
01:34:31.060 as my patient sitting in front of me, I don't know how aggressive to be or not to be. You're not asking
01:34:35.380 the question on average. And yet, what tool are you given to guide you? You are given a tool called
01:34:42.340 a clinical trial, which is by its very nature, all about averages. And so therein lies the mismatch of
01:34:50.740 what I've described as medicine 2.0. When I say described, meaning I'm writing about it in this
01:34:55.060 book I'm working on that hopefully I'll have finished by the time I'm alive or not alive. And
01:35:00.180 the idea is it's not to poo-poo clinical trials. It's just to acknowledge that clinical trials give
01:35:05.820 us great information on averages and the larger and more robust the trial, generally the more
01:35:11.500 heterogeneous the data. But you've asked a question that comes down to judgment. You know what it means
01:35:18.160 to be aggressive and you know what it means to be conservative and you have, you know what the
01:35:22.920 corners of that box look like. What you're asking is I could have two people in front of me that
01:35:28.300 superficially look similar, but actually one of them is probably going to have a better outcome
01:35:33.360 if I behave aggressively. And the other one might have a better outcome if I behave conservatively.
01:35:37.560 It's the challenge to figure out which one's which. If you're a hammer and everything's a nail,
01:35:43.040 even if you're acting as a hammer and nail in accordance with clinical trials, I suspect you are
01:35:48.380 still acting in a very blunt manner. A hundred percent. But I'm also talking about these areas
01:35:54.320 and I think prevention is a great example that are sort of outside the boundary of what's been
01:36:00.360 studied or is likely to be studied in the context of a clinical trial, right? I mean, there's not going
01:36:04.760 to be a clinical trial to answer a lot of the questions that I have about how to manage my
01:36:08.880 patients. And I feel the same way. I mean, prevention is not really amenable to this idea of
01:36:14.040 medicine 2.0, which is clinical trial, average outcome, short duration, simple intervention,
01:36:21.540 easy to measure outcome. It's the economic thing. I mean, you're a company and you want to get your
01:36:27.780 product to market, whether that product is a stent or a drug or whatever it is. And the best way to do
01:36:32.880 that economically is the shortest amount of time. And so you want to take the sickest people. So
01:36:36.280 these trials, I mean, I joke that like a prevention trial, all kinds of trials that I want to do would
01:36:40.920 take 50 or 60 years. How do you convince somebody I'm about to be 50? I wouldn't want to start a trial
01:36:46.140 that I'm not going to see the answer from, the result from. So it's unsettling to me. And again,
01:36:51.480 I think you just have to remain humble as I've tried to and hope that your patients,
01:36:55.980 your human patients have some patients that were going to be wrong. There are a litany of examples
01:37:00.660 like LP little a was something I didn't pay attention to until the past few years. Coronary
01:37:05.480 calcium scans. If somebody came to see me with a coronary calcium scan 10 years ago, I would say,
01:37:10.300 I wish I didn't have this information, but I never ordered one before seven to eight years ago.
01:37:15.340 So there are lots of examples of things that I didn't used to do that I've now incorporated into
01:37:18.660 my practice. And I'm doing so without that like safety belt of, of evidence basis that we're used
01:37:25.300 to, right? There's not going to be a orbital like trial to help me decide whether I should be
01:37:31.020 aggressive with lipid lowering in a 35 year old. That's not going to happen with primary prevention.
01:37:36.200 So we have a mutual patient in whom that's exactly the type of question that's being asked,
01:37:40.680 right? Yeah. And there's a term and I, I know all these cute little terms and I never know who to
01:37:45.140 attribute them to, but we talk about evidence-based medicine versus evidence informed medicine.
01:37:50.280 And to me, the latter just makes much more sense because these decisions that you have to make
01:37:55.820 virtually every day. And I feel like I'm in the same situation, virtually nothing that I do.
01:38:02.640 Can I point to the orbita or courage equivalent? I mean, it just doesn't exist. And certainly not,
01:38:09.200 if you really wanted to scrutinize it, every single thing is a variation on a theme that stems from some
01:38:15.800 clinical trial. But if you really wanted to be a skeptic, you would say, nope, that's not the exact
01:38:20.400 same patient. And that's not the exact same situation. And therefore you can talk yourself
01:38:25.320 out of doing anything. And I'm super fond of saying that being a preventive cardiologist is no one should
01:38:33.120 feel sorry for me. I have the best job in the world, but, but it's difficult in that we only know
01:38:36.840 success by the absence of failure. So there's no one who's going to come to me tomorrow and say,
01:38:42.280 gosh, Ethan, thank you for the fact that I've, I'm 46, that I did not have a heart attack again
01:38:47.720 this year. It just doesn't happen. Right. That's a great way to explain it. Whereas the other way
01:38:51.800 around, like I've had a few patients, if you're an orthopedic surgeon, for example, that's right.
01:38:55.700 You break your leg, you fix it or an interventional cardiologist, right? You show up in the cath lab with
01:39:00.340 a STEMI, you know what you did. The outcome is clear. The outcome is not that clear in prevention,
01:39:04.840 unless there's failure. So those examples, and I've had a few recently, I've been public about them
01:39:10.740 on Twitter that are treatment failures, but maybe not personal failures. In fact,
01:39:16.020 I don't think I managed the patients incorrectly, but the fact is they had events while they were
01:39:22.200 under my care. Those live with you for a long time. And so then the question is, I know you're
01:39:25.780 a race car driver. The question is, is your reaction to that to then have a tendency to want to oversteer?
01:39:30.720 So because I have these anecdotes, these very profound anecdotes of young people who've had
01:39:36.060 terrifyingly scary outcomes. And, you know, I was not as aggressive as I could have been,
01:39:42.240 but probably still following the sort of guidelines. Is that going to guide me as a physician to be
01:39:47.140 more aggressive in the future? And again, we're not going to have clinical trial data to help us
01:39:51.800 here. This is all art and judgment. The subtitle of my book, I'm hoping if the publisher lets me is
01:39:57.740 going to be called the science and art of longevity. There's a title to it, but that's
01:40:02.000 the subtitle. And I'm insistent upon that order because normally you say it in the reverse,
01:40:06.180 the art and science of whatever, but it's the science and art. You're informed by science,
01:40:11.080 but in the end, this still comes down to an art. Well, and it's the art of the science too,
01:40:15.120 as you said, right? I mean, it is sort of, how do you put this? And then there's the whole other
01:40:18.320 layer, which is how do you communicate it with your patients? And how do you include them as a
01:40:23.260 partner in making these decisions? I mean, that's where things get really interesting.
01:40:26.560 And there are other physicians, because typically these are not just discussions between two people.
01:40:30.580 So what's a CAC, what's a CTA, and how do you use them?
01:40:33.860 The way I break this down is there's anatomy, so anatomic tests and there are physiologic tests.
01:40:38.560 So physiologic tests would be like a stress test, a treadmill test. So you get up on the treadmill,
01:40:42.840 you walk, and then you have one of a few different ways to kind of determine,
01:40:47.440 in addition to whether you have symptoms, determine whether there's ischemia, meaning there's a
01:40:51.000 difference in the supply and demand of oxygen. So you can use EKG, or you can use an echo,
01:40:55.280 or you can use what's called nuclear, which is basically a radio-labeled potassium analog that
01:41:00.540 lights up living cells. So that's one way, that's the physiology. And that's been the standard of care
01:41:06.660 in this field for 40 years. In the past 20 years or so, people have started to explore whether there's
01:41:14.760 a role for anatomy. So one anatomic test is an angiogram. So you can take somebody to the cath lab,
01:41:19.840 and you can put a catheter up there and inject some dye into the artery, and you can see if it
01:41:23.800 looks like there are blockages. That's not something that you would apply broadly to a population. You
01:41:29.080 wouldn't use that as a screening test. And patients often ask me, in fact, sometimes people will come
01:41:33.480 in the office and they'll say, I should have an angiogram. No symptoms, just I want to have an
01:41:37.400 angiogram. I want to know they don't have any.
01:41:38.780 Right. Just a preventative, get a baseline.
01:41:40.840 Yes. Which is very much like, I want to make sure I don't have colon cancer or breast cancer. And
01:41:46.120 the same things that come up as being difficult and controversial in any screening, whether it's
01:41:52.300 prostate cancer screening, breast cancer screening, any of these screening areas are going to be
01:41:55.360 super controversial here. But I think the community agrees mostly that screening angiography is not
01:42:00.380 appropriate. But the question is, are there other things that could be appropriate in the right
01:42:04.660 people? And in general, the population of people that we're talking about are people in this
01:42:09.680 intermediate risk category. So if you're low risk, for the most part, there's not going to be much
01:42:13.360 benefit to adding one of these tests. We're talking about asymptomatic people here. So
01:42:17.040 if you're symptomatic, you fall into a different category altogether. So asymptomatic people. And
01:42:21.200 if you're high risk, you probably fall into a different category as well. And what I tell people
01:42:26.480 is that the results of these anatomic tests that we might do are really about answering one question,
01:42:33.160 which is how aggressive should we be with our medical therapy? And what they are, they are
01:42:39.000 triggers for basically saying yes or no to statins or yes or no to statins and PCS-19 parameters.
01:42:45.900 Basically, it's a way of gauging how aggressive we want to be. So again, low risk, you're probably
01:42:49.240 not going to use a statin anyway, except in sort of unusual circumstances, say somebody has like a
01:42:53.820 very early and extreme family history or something else is funny. But if somebody falls into a low risk
01:42:58.460 category, they probably get left alone. So it's intermediate risk people. So there was a doctor,
01:43:02.800 I believe he was from Houston named Agustin. And he came up with this idea. So people could see on
01:43:09.120 chest x-rays back, you know, a hundred years that if somebody had a blocked artery, that there was a
01:43:15.760 likelihood that you could see the outline of the artery on the chest x-ray. That's because calcium
01:43:19.980 is radio opaque. So people realize that these arteries, again, by autopsies and other conventional
01:43:26.420 imaging, that these arteries get calcified as they develop more plaque. And so this radiologist in
01:43:33.180 Houston figured out that there was a linear relationship between the amount of plaque that
01:43:36.900 you have and the degree of calcium that you have in your arteries. And so he developed a quantitative
01:43:40.960 measure and that's called the coronary artery calcium scan or score. And that is a low dose,
01:43:47.600 low dose radiation screening test that basically just looks for this one thing, which is calcium.
01:43:53.500 And then it quantitatively tells you how much you have. And it then gives you on a percentile basis,
01:43:58.160 what you are, what you should be based on your age and sex. So that's a calcium scan.
01:44:02.840 It's worth pausing for a moment to make sure, because this is a discussion I tend to have with
01:44:06.840 patients a lot, which is what does it mean if it shows nothing, meaning your score is zero? What does
01:44:11.500 it mean if it shows anything that's not zero? And to explain this to patients, I usually have to,
01:44:17.100 again, pull out the pathology textbook and explain all of the things that happen before you would see
01:44:23.120 calcification. So when you look at the stages of lesions, calcification is a very late process.
01:44:28.900 You described it earlier as basically the repair of damage. So if you have a calcium score of zero,
01:44:36.320 does it mean you have perfect coronary arteries? You can't conclude.
01:44:40.980 Yeah, this is a really important point. And to me, there's been a lot of work on sort of what
01:44:46.400 people call the power of zero. So what does a calcium score of zero mean? To me, it's all about the
01:44:50.400 context. So in a 25-year-old or my 15-year-old daughter is going to have a calcium score of
01:44:57.240 zero. It's meaningless for her. It gives you absolutely no additional risks ratification.
01:45:02.500 Conversely, when a 90-year-old shows up and has a calcium score of zero, it's quite informative.
01:45:09.180 And in fact, I have some patients in their 70s and 80s who I've taken off of statins because they
01:45:15.120 had a calcium score of zero. And in those patients, their risk of having a heart attack is not zero,
01:45:19.720 but it's low 1%. I mean, again, let's remember that the biggest risk factor for having a heart
01:45:25.200 attack is your age. So age supersedes everything else. It supersedes all the other known risk factors
01:45:30.480 that we use every day. Your lipids, your blood pressure, your presence or absence of diabetes.
01:45:34.660 Although I will throw in my rant here. Why is age the greatest risk factor?
01:45:39.480 I don't know. It's a good question.
01:45:41.000 I mean, I would argue, as Alan Snyderman has argued, that it's an area under the curve issue.
01:45:45.740 It's an exposure question. So age is the greatest risk factor for a number of diseases in which it's
01:45:53.000 not entirely clear why. But I think in atherosclerosis, you would have to argue that this
01:45:58.260 area under the curve shows a monotonic progression in an individual, just as we see progression of
01:46:03.940 polyp to cancer in the colon. So that's exactly why I think the older you are, the more interesting
01:46:11.140 it is to have a zero calcium score. It's Bayes theorem at its finest. You are acquiring more
01:46:16.560 and more information as somebody goes on. So, you know, when I see 35 year olds with zero calcium
01:46:21.380 scores saying, see, I'm totally fine. I say, I have no goddamn clue. How do you know that?
01:46:27.060 But the contrast is that if you see a 35 year old who does have calcium,
01:46:30.540 That's exactly right.
01:46:31.400 That's informative.
01:46:31.720 So there you have, the way I describe it is it's a two by two, and there's only two
01:46:36.420 quadrants that are interesting to me. Young people, meaning someone under say 45 or 50
01:46:42.400 who has calcification and old people, and I'm sorry to use the term old, but older folks
01:46:48.540 call it someone over 70 who has no calcification. If you're in those categories, Bayes theorem
01:46:54.840 is lighting up like ding, ding, ding, ding, ding, ding, ding, ding. If you're in the other
01:46:58.380 two quadrants, I don't think I've learned anything.
01:47:01.640 Mostly. So I started, again, I'll frame this as I started off thinking there was no value
01:47:05.640 to calcium scans. I've evolved to think, all right, well, there's going to be value in
01:47:09.580 these two quadrants you described. I also think there's probably some value in the extremes
01:47:13.780 in say, I saw a patient recently who was in his fifties, early fifties, who had a calcium
01:47:19.720 score of 1300, you know, asymptomatic primary prevention.
01:47:23.440 I have a 49 year old who just scored 4,500.
01:47:26.560 Right. So that, I mean, that to me is useful, right? So that takes us, again, not going to
01:47:32.000 ever be supported by clinical trials, but that takes us from, okay, well, now we all agree that
01:47:35.520 you should be on at least statin for primary prevention, but maybe we want to be even more
01:47:40.600 aggressive, right? And so that's when you start thinking, this is actually going to change what
01:47:44.360 we do or change, at least in my head, the risk benefit ratio.
01:47:48.820 Anecdotally, I want to tell you about that patient because this is just getting off in the weeds
01:47:52.340 a little bit. This is a patient whose family history, if I shared it with you, you would say,
01:47:58.100 oh, he's going to have an elevated LP little a father had first MI at 42 dead by 49 brother
01:48:04.300 had MI in forties, et cetera, et cetera. When you hear these stories, you say, well, it's elevated
01:48:09.280 LP little a for sure. You do an advanced blood test on them, normal LP little a, and you want to know
01:48:15.520 something else. Lipids aren't even that crazy. It's not like he's got FH. It's not like he's got
01:48:21.200 an APOB in the 99th percentile. Yeah, he's probably in the 70th percentile, but it's like,
01:48:27.980 these are the patients that keep you up at night. And it's like when I was talking to Richard Isaacson
01:48:32.280 about Alzheimer's disease, he's way more afraid of the patients with a ravaging family history of
01:48:38.640 Alzheimer's disease who have normal APOE because there's clearly something going on and I don't even
01:48:44.000 know what it is. And that's sort of how we feel about these patients of which we have many where
01:48:49.040 it's not even like, you know, they're at the 70th or 80th percentile of risk by lipids and by other
01:48:54.800 metrics, but by story and now by calcium and other tests, I mean, they're at the 99th percentile.
01:49:01.520 I had a patient I talked about a lot on Twitter a couple of weeks ago who ended up in his early
01:49:05.320 fifties and ended up having like a very, very tight proximal left main, like just the kind of thing
01:49:09.900 that you're the so-called widow maker. You look at this thing and you think there's no way in the
01:49:13.340 world this guy should have walked into my office and he did. And his first past lipids were all
01:49:19.340 completely normal. You know, his, you know, regular fasting lipid, he had no obvious risk factors.
01:49:23.720 And then we got his LPA back and it was high and I was relieved and I was relieved because on the one
01:49:29.060 hand, I knew I understood what was going on. On the other hand, we're still left with this.
01:49:33.660 Well, we still don't really have a direct therapy to offer, but at least we've got a couple of indirect
01:49:39.300 things till Sam Tamekis' ASOs are around. Did you look at his aortic valve yet?
01:49:43.840 It's normal.
01:49:44.640 It is.
01:49:45.100 Yeah.
01:49:45.520 That's so interesting. I would have guessed someone that young with such aggressive athera would also
01:49:50.140 have something abnormal in his aortic valve. Interesting. All right. So that's the calcium
01:49:55.080 score. I've always found it very difficult to interpret the data on this because they tend to
01:50:00.820 report it without clearly specifying the age cohort. So for example, everybody loves to quote a study
01:50:06.560 that would say a zero calcium score means your 10 year risk is 1.9% or something to that effect.
01:50:12.120 But you can't actually say that without knowing the age of the cohort because a zero calcium score
01:50:16.500 in a group of 30 year olds probably has a 10 year risk of less than 1%. A zero calcium score in a
01:50:22.280 cohort of 70 year olds would clearly be five to 10% still. So that's another thing that I just find
01:50:27.340 very sloppy, but I don't have these discussions too much in social media because I find it so frustrating,
01:50:31.760 but it's that you just don't have the time to explain that nuance to folks.
01:50:34.660 It's a great point. And I use the MESA calculator because it's a nice, you know,
01:50:38.460 it has the traditional risk factors and then you can add in the calcium score if you have it.
01:50:43.220 So MESA, multi-ethnic study of atherosclerosis, one of the two largest cohorts we have ever to
01:50:48.900 study atherosclerosis along with Framingham.
01:50:51.040 And then they'll give you the 10 year risk plus or minus. So they'll say, well, this is what the
01:50:55.000 10 year risk would have been without the calcium. Yeah. And that's somewhat helpful. But again,
01:50:58.700 it comes back to this being way more art than science. I mean, this is at this point in
01:51:02.660 primary prevention. This is still very much art and not science and probably will be for our
01:51:06.400 lifetime. So we'll have to get used to that. So then CT angiograms basically said, look,
01:51:10.180 we're going to do more or less what the angiogram did in terms of providing anatomic detail. Cause
01:51:14.800 the calcium score doesn't really give you anatomic detail of the artery. It's basically just showing
01:51:18.100 you, show me every place where there was a disaster that's been repaired. The CTA says, well,
01:51:23.520 now I'm going to actually show you both the negative and positive image of the artery. So you'll see
01:51:28.100 everything that's going on, but it's in many ways, even a better test than the angiogram because you
01:51:32.220 get to see the wall and you can look for soft plaque or other forms of injury to the artery that
01:51:38.180 haven't yet reached the point of calcification. Assuming somebody doesn't have a lot of calcium,
01:51:42.140 if somebody has a lot of calcium, then you can't really do it. And assuming that you can block the
01:51:45.560 heart down, the scanners have gotten fast enough now that the quality of the data we get back from
01:51:49.420 these is spectacular. And we get this information we never used to have unless you did IVUS. So IVUS
01:51:54.140 is intravascular ultrasound. So when you do an angiogram, you don't get to see what's underneath
01:51:57.880 the endothelium. You have to infer it. So now you can see it. So you can see not just the plaque.
01:52:04.180 So I'm fond. I have a strong family history of melanoma. And I'm told by my dermatology colleagues
01:52:08.960 that nevi melanoma grows down before it grows up. So what's happening underneath the surface,
01:52:14.640 you can't see. And then when it starts to grow, you start to see on the surface.
01:52:18.260 That's right. Luminal narrowing is a very, very late consequence of atherosclerosis.
01:52:22.880 So that's why I said, if we did a CTA on us or an average 50-year-old, you'd see plaque. It may not
01:52:28.220 narrow the lumen more than a couple percent, if at all. It may just look like a normal variation and
01:52:32.980 sort of lumpy bumpiness, but you'll see plaque. And that plaque grows down before it grows up.
01:52:38.540 There's a ton of information. The question, of course, is what is the value of that information
01:52:41.860 and how does it change our management? That's-
01:52:43.960 To me, it just adds color to the discussion we already had.
01:52:46.700 It adds great benefit on the negative and on the positive, depending on the age.
01:52:52.040 But you take that patient with a zero calcium score whose CT angiogram is pristine. Their
01:52:57.180 arteries are enormously patent and there's not a shred of evidence of soft plaque. It's still not a
01:53:02.300 guarantee. I mean, we know that, right? Even IVUS could miss plaque or vulnerability, but it makes
01:53:08.100 you feel a bit more comfortable that your level of aggression can be lower and the converse then is
01:53:12.940 true as well. So then what's the cost, right? So other than the theoretical cost of the radiation,
01:53:18.340 which is probably something and the- Yeah, right now they're going so fast. These things are at
01:53:22.460 a really good scanner. So that the top shelf scanners here are doing CT angiograms at about
01:53:28.420 two millisieverts of radiation. So for the listener, millisieverts, the unit in which we measure
01:53:34.160 radiation, the NRC limits people or suggests an upper limit of 50 millisieverts for a year.
01:53:41.380 We want our patients to be below 20 millisieverts for a year. Living at sea level exposes you to
01:53:48.640 maybe one millisievert over the course of a year. Living in Denver probably exposes you to four or
01:53:54.200 five millisieverts for a year. So that puts the two millisieverts in context. The first generations
01:54:00.500 of these, Ethan, 20 millisieverts just for a CT angiogram. What's a chest x-ray? Incredibly low.
01:54:06.580 It's less than one millisievert. So we can sort of dismiss that. There's very little risk of
01:54:11.260 the contrast in most people. Obviously if you're older, you have kidney disease, something else
01:54:15.100 then it becomes a different issue. One of the greatest costs is the economic cost. It's rarely
01:54:18.180 covered and it's a, I don't remember exact cost, but it's, it's not trivial. It's probably, you know,
01:54:22.280 $2,000, $2,500. So it's a, it's a quite expensive study relative to the CT, the calcium score,
01:54:27.740 which I got to put a plug in, by the way, your institution here needs to get its head out of its
01:54:31.580 ass. I mean, Jesus. I send patients to Stanford. Stanford. Stanford's doing CT angiograms
01:54:37.200 for like a hundred bucks and you coconuts here are charging like thousands of dollars.
01:54:41.540 Don't get me started. Well, I think it'll change now with the new guidelines. I think
01:54:44.440 the price has to come down, but it's such an interesting example.
01:54:46.460 I have to send patients from San Francisco to drive down to Stanford. They're pissed off,
01:54:49.800 but I'm like, you know, I tell my patients, this is the one example of there actually being an
01:54:53.940 efficient market in medicine, right? Because third-party payers don't pay for it up until
01:54:58.560 recently. They haven't paid for it. You have to pay for it out of pocket. So these guys realize the
01:55:02.500 only way they're going to get it, no one's going to pay $3,000 to get it. It's the same basic
01:55:06.420 machine, same everything else. It's just that there's a market.
01:55:09.560 It's a fixed cost is already sunk and there's no variable cost. It's just, yeah, it's comical.
01:55:13.780 The question then is sort of what is the risk of the CTA? And so from my perspective, the risk
01:55:17.980 is with the right patient, the right doctor is zero. The wrong patient, the wrong doctor,
01:55:22.960 it could be high. And so the example I use is I've got patients, and I'm sure you have a lot too,
01:55:26.920 who are anxious and they can't, even though they don't anticipate that they're going to be this way,
01:55:32.040 they can't live with this sort of thing growing inside of them. I'm sure you had
01:55:35.660 patients when you were doing cancer surgery who just basically said, get this tumor the hell out
01:55:41.060 of me. I don't, I don't want cancer anymore. Get it out. And even though, you know, prostate cancer
01:55:45.040 is a great example, right? There are lots of ways to treat prostate cancer today. And some of them
01:55:48.220 involve cutting the tumor out. Others that are equally as effective probably are close don't,
01:55:53.400 but some people mentally can't get their head around living with cancer. And I think I have patients
01:55:57.880 of mine who, when they get a CTA and they see there's plaque there, they just can't sleep
01:56:01.860 because they think this thing is going, I'm going to die from a heart attack. And no matter what we
01:56:06.400 say, no matter what I say, I can't dissuade them of that. That's to me is the one cause. So that's
01:56:12.320 where I would sort of say, this is why I'm not going to, that in the economic thing is sort of
01:56:16.020 why I'm not going to widely do this in everybody, but in certain people, it's spectacular.
01:56:21.740 So before we leave this, let's just talk about what heart flow is, because that's something that's
01:56:25.840 come on the scene in about the past. I want to say it's about three years ago, maybe four years ago.
01:56:30.160 It's a company here in the Bay area, correct? And they're layering on an analysis to the CT
01:56:37.680 angiogram. Can you explain a little bit about what that is and where it came about?
01:56:41.340 I'm going to try and keep it brief because I got quoted in an article over the summer about heart
01:56:45.420 flow. And I think I said something like, I don't wake up in the middle of the night dreaming about
01:56:49.280 which patient I want to use heart flow in. So I don't want to be too harsh on them. This is
01:56:54.460 basically based on the idea that you can use physics to measure the percent narrowing of an
01:57:00.540 artery by measuring the velocity across the lesion. So as you, anyone who puts their finger on the end
01:57:06.120 of a garden hose knows that the velocity of the water that comes out of the garden hose goes up
01:57:09.760 as you narrow the opening of the garden hose. So the same thing is true in an artery. If you have
01:57:14.440 a narrowing, then the velocity across that is going to be faster. And there will be a pressure
01:57:19.360 gradient. So you can actually measure pressure using a catheter with a pressure sensor on it.
01:57:24.680 And you can measure pressure before and after the blockage. And you can basically then infer how
01:57:28.820 severe the blockage is. And that technique was first developed invasively in people who were going
01:57:34.020 into the cath lab. And there were patients where you'd look at the artery and you'd think,
01:57:39.200 yeah, we're looking at this in two dimensions and we can't really see, it doesn't, it's hard to see
01:57:43.760 exactly how severe this is. So there were a couple of these tools that were developed. One of them is
01:57:47.060 this intravascular ultrasound IVUS. And then the other one was this FFR, which is a way of measuring
01:57:52.740 pressure and basically inferring the degree of blockage. So fractional flow reserve is the
01:57:58.000 calculation of P2, which is the pressure beyond the occlusion over P1. Right. And they do it before
01:58:06.120 and after administering a vasodilator. So they'll give a patient a vasodilator and they can measure sort
01:58:11.700 of maximal blood flow. And you can do that in a normal artery. In a normal artery, you'll see it augment
01:58:16.300 in a diseased artery. It doesn't, it goes, it'll go down. And there are two big trials that looked
01:58:22.220 at the use of invasive fractional flow reserve. One was called FAME. The other was called FAME-2.
01:58:27.660 I'll spare everybody, me looking up exactly what FAME stood for again. What did those studies show?
01:58:33.140 The take-home, and again, there's controversy as with almost anything in cardiology,
01:58:37.040 there's controversy. But the take-home was that if you had an FFR that was less than 0.8, so you use a
01:58:41.420 mathematical formula to basically calculate. And if it was less than 0.8, if you then put a stent in
01:58:46.220 that artery, people did better. So it suggested that this could be a useful tool to help stratify
01:58:51.740 who should be getting stents and who shouldn't be getting stents. And I think a lot of our
01:58:54.460 interventional cardiology colleagues have been using it that way for the past few years.
01:58:58.940 Again, there are questions. I don't want to get into the controversy, but there are questions about
01:59:01.940 the technique and about how they did it. And there are some questions about the validity of it,
01:59:06.580 but it's mostly a useful tool and people do use it, but it's invasive. So you have to be having
01:59:11.920 an angiogram to do it. So somebody came up with this idea that you could do the same thing
01:59:15.720 using just a non-invasive CT scan, and you could basically measure the velocity and infer the
01:59:22.360 pressure using Ohm's law. So they did the same thing. They gave a vasodilator knot, and they can do
01:59:29.060 this. Boyle's law, sorry. Boyle's. Yeah. I don't know. You're the engineer. It's been a while.
01:59:34.600 So they did this, and lo and behold, they were able to measure this thing non-invasively. You
01:59:39.860 don't have to have a catheterization. You can do it all through CT. And then HeartFlow basically
01:59:44.900 is selling this software as an add-on package to the CTA, and they'll give you what's called a CTFFR,
01:59:51.060 which is their calculated FFR. Is this changing your practice? Because when it came out, I started
01:59:56.340 doing it, and then I realized, especially just based on Orbita, that it wasn't really going to
02:00:02.620 change my management. So I have not done a HeartFlow study in probably over a year on anybody.
02:00:07.580 That's the point. Whereas the anatomy of sort of whether there's plaque there does help guide you
02:00:12.560 about how aggressive to be with your medical therapy. It's not clear to me that we're learning
02:00:16.360 anything from adding the HeartFlow on. So I have never ordered one. It doesn't mean that I won't
02:00:21.240 order one in the future. I've done a lot of this where I've said I've never ordered one, and then 10
02:00:24.180 years later, I've ordered one. I've ordered a lot. So I reserve the right to be wrong on this one.
02:00:29.100 But my instinct is, like you say, we have the information from these two other big trials
02:00:33.600 that tell us that this is probably not going to be a huge game changer because what information
02:00:39.120 is it adding and how are we going to react to it? So their pitch from a business standpoint is that it
02:00:44.640 saves unnecessary catheterizations. That's a business discussion that I think I generally don't
02:00:49.720 believe right now, but that's their case. And if you're an individual patient, what value is it going
02:00:54.960 to bring to you? Or you as a doctor, what value does it bring to you? I can't think of a big value
02:00:59.500 today unless you had somebody who you were going to send to the cath lab and you thought this would
02:01:04.140 help sort of make you feel comfortable about not doing it. Let's pivot for a second because we're
02:01:09.560 sitting here in your office. We've been nerding out for two hours on preventative cardiology,
02:01:17.200 but I'm looking at your very, very beautiful whiteboard. And not only do I have tremendous whiteboard envy,
02:01:23.620 but there's not a single thing on here that looks like it's about cardiology.
02:01:28.640 If I didn't know better, I would think I was in the lab of David Sabatini or one of my other
02:01:36.280 friends, you know, Luke Hantley. I mean, we've got insulin receptors, PI3K, we've got mTOR. You've
02:01:43.900 even delineated between mTOR complex one, two pathways to autophagy, lots of growth hormone, IGF
02:01:51.200 pathways, pancreas, liver. Are we in your office? Whose office is this?
02:01:57.900 I came here to San Francisco 21 years ago to study in the lab. The person who became my mentor was my
02:02:03.420 boss until he left to go work in Novartis a couple of years ago, a year ago, two years ago,
02:02:07.360 Sean Coughlin. And I came here because I was interested in the biology of blood clotting.
02:02:11.000 And so when I left his lab and decided that I want to stay here in San Francisco, I had to find
02:02:14.600 something that I wanted to do that would be not what he was doing because that would be dumb.
02:02:18.380 And so at that time, I got very interested in the biology of sex differences. And I don't want to
02:02:24.880 spend seven hours describing it, but it's a really interesting literature. And so I did a deep dive
02:02:30.160 on it and thought, gosh, there's a lot of reasons to think that there may be significant differences
02:02:34.100 in the way men and women behave clinically and biologically with regard to the clotting system.
02:02:40.400 And there may be reasons to expect why that would be, right? We talked a little bit before about the
02:02:43.960 placenta and pregnancy. Men don't have to have this other thing living inside of them and therefore
02:02:51.180 could afford maybe to optimize more towards a sort of wound healing defense strategy, right?
02:02:56.940 Men, there's a difference in sort of the way you might, if you were to design a system,
02:03:01.180 if you were to create evolution there, you may be able to optimize it, this system for the two sexes
02:03:05.880 differently.
02:03:06.240 That is the most interesting idea I've ever heard because one of the questions I've always
02:03:11.100 batted about in my mind is all things equal. Why are women less susceptible to cardiovascular
02:03:16.060 disease? Or at least I wouldn't say it that way. Why do women experience a phase shift? They get it
02:03:20.540 later. And you look at blood pressure differences, maybe women have lower blood pressure. Another one
02:03:25.860 is iron. Women have less iron for 30, 40 years of their life. They're basically doing a blood donation
02:03:32.080 every month. I never once considered what you just said, which as you say, it actually makes a lot of
02:03:38.400 sense. Men would in theory evolve to heal from a wound much quicker, even at greater cost down the line
02:03:47.020 because of their role in a hunter gatherer society. Whereas the woman must evolve to protect the
02:03:53.660 offspring much more. And you could see how that would be a lower immune response, a lower inflammatory
02:03:59.240 response, a lower pro thrombotic response. That's, that's an, I can't believe I didn't even know that.
02:04:04.920 Well, if you want to get really crazy, you can start to imagine, well, maybe women evolved to be
02:04:08.800 the less sort of masculine of the sexes. In other words, maybe they're the ones not going out and
02:04:14.660 throwing spears and fighting because they have to carry pregnancy. And so they, they're a little bit
02:04:20.820 more susceptible to bleeding, you know, and you know, there's the added sort of complication of
02:04:25.900 menstruation, all these other things. So anyway, I thought, wow, this is a really interesting
02:04:28.740 area. And the, the reason it was particularly interesting was that in the work that we had
02:04:33.000 done primarily in mouse genetic models, it looked like there was a pretty significant difference
02:04:37.060 in the rate of clotting between male and female mice. So I thought, well, this would be a really
02:04:42.220 fun thing to study. And of course I did exactly what you did, which was, I immediately kind of
02:04:46.440 latched onto what must be sex hormones and did some early kind of pilot studies looking at the role
02:04:51.900 of estrogen receptor different. And it didn't pan out. And so I did more reading about sex dimorphism
02:04:59.460 in general. And it turns out that mammals have this remarkable sexually dimorphic liver. So if you
02:05:05.520 take the liver out of a, of a mammal, human or mouse, there's a set of genes that are expressed
02:05:10.740 dramatically different, even up to a hundred fold different males and females. And a lot of these genes
02:05:16.180 are genes that regulate sex hormone, sex hormone binding or modification. Others are sexually
02:05:21.460 dimorphic for reasons we don't understand. But if you do a sort of array of gene expression,
02:05:25.840 whether you're using an old fashioned chip array or whether you're doing RNA-seq, you see this
02:05:31.420 tremendous signature difference between the genes that are turned on in the liver of females and males.
02:05:36.600 Well, where are clotting factors made the liver? So I thought, well, this is what we're going to do.
02:05:42.120 And so I set off to like basically try and understand if how this happens. So what regulates
02:05:48.700 the dimorphism of liver gene expression in mammals? It turns out it's not sex hormones. That's actually
02:05:55.020 secondary. It turns out that it's a dimorphic pattern of growth hormone secretion. So it was
02:06:00.300 described back in the fifties and sixties that there was a factor from the pituitary called
02:06:04.580 feminizing factor, but it wasn't known what it was. If you just ground up the extract of the pituitary
02:06:09.640 and injected it into a male or female mouse, you could basically drive the expression of these
02:06:14.580 genes. And ultimately it was found in a beautiful paper. I think it was published in 1982 in Cell by
02:06:20.660 Richard Palmer's group. It was found that that factor is growth hormone. And that if you...
02:06:25.100 Which by the way is the last one I would have predicted. Like I would have said,
02:06:28.120 oh, it's probably luteinizing hormone or follicle stimulating hormone. I wouldn't have guessed
02:06:31.920 growth hormone.
02:06:32.260 No, it's growth hormone. So males have a more pulsatile pattern of growth hormone secretion. So they have
02:06:36.880 longer intervals between the pulses. Females are more continuous. And so they have very short...
02:06:41.780 So the guys have these spikes that are less frequent and the women are putting... Now area
02:06:46.840 under the curve, about the same.
02:06:48.320 Mean is the same. So what's cool is you can actually take an intact, normal wild type male
02:06:52.380 rodent and put a pump in and deliver continuous growth hormone. And you can completely reverse
02:06:58.120 the signature of their gene expression in the liver. And you can do the opposite with a female
02:07:01.960 mouse. You take a female mouse and it... Because if you give exogenous growth hormone,
02:07:05.500 you basically suppress endogenous growth hormone secretion from the pituitary, you can give a
02:07:09.760 couple of injections. I think it's just one or two a day to a female mouse and you masculinize
02:07:14.120 the liver.
02:07:14.960 We live in a world where a lot of people have decided it's a good idea to prescribe growth
02:07:18.600 hormone to reduce the effects of aging. I talked about this very briefly with Nir Barzilai on our
02:07:24.200 podcast. And I would say that Nir's view from that was that there might be some benefit in men in
02:07:30.220 certain circumstances and women less so. But is it safe to say that if a man and a woman
02:07:35.020 are both receiving the same dose and same dosing pattern of exogenous growth hormone,
02:07:40.460 you would evaporate that difference of gene expression in the liver? Because you would
02:07:45.460 have suppressed the pituitary secretion?
02:07:47.340 Yes. You should.
02:07:48.700 Have you done that experiment?
02:07:49.900 In people?
02:07:50.560 No. In mice?
02:07:51.360 Yeah.
02:07:51.700 Okay.
02:07:51.940 Oh, yeah, yeah. Yeah. We did that experiment. So I got into this because I was interested in
02:07:55.180 clotting. And that makes sense as a cardiologist. We just spent two hours talking about why clotting
02:07:59.740 is interesting to a cardiologist. So starting off my lab as a junior assistant professor,
02:08:03.640 I thought, well, this is what I'm going to do. I'll understand the biological basis of sex
02:08:06.840 differences of clotting, get into this growth hormone pattern. And so we started to do that.
02:08:10.760 And we, as a lot of people of my generation do, science is a little bit of a game of you do
02:08:17.120 what everyone else does and see what comes out. And so we started knocking out different
02:08:20.000 components of the growth hormone signaling pathway in mouse. And we got to this protein called
02:08:25.020 JAK2, which is a kinase, which basically adds a phosphate group to proteins. And it's important
02:08:30.940 for other areas of medicine and science, but it's an obligate signal transducer of growth
02:08:34.800 hormones. So downstream of the receptor, growth hormone binds JAK2 basically allows this signal
02:08:41.220 to be transduced.
02:08:42.060 Is there a different receptor for growth hormone in the liver versus outside of the liver?
02:08:45.600 No. GHR is the same everywhere. There are different isoforms. I think there's a soluble
02:08:50.940 one, which is basically a GH binding protein, but the GHR is the same. And that signal is transduced
02:08:57.300 because growth hormone receptor itself is a type one cytokine receptor. It doesn't have
02:09:00.640 any intrinsic tyrosine kinase activity. It has to partner with this other non-receptor
02:09:06.060 tyrosine kinase, JAK2, to transduce the signal. So we eventually knocked out JAK2 in the liver
02:09:11.660 and hepatocytes. And I'll never forget that I had a technician working in the lab at the
02:09:16.220 time. Actually, he was the only person working in the lab at the time. It was just the two of
02:09:19.460 us. And he came to me, he said, Ethan, there's something wrong with these livers. I don't even
02:09:23.640 need to genotype them. And I'll show you a picture, but it turns out that the livers in
02:09:28.060 the animals where we had selectively deleted JAK2 in hepatocytes were basically turned into
02:09:34.280 atomized tissue. It was the most- So you were creating NAFLD?
02:09:37.360 Yes.
02:09:38.200 So just let me make sure I understand what you're saying. If you knock out JAK2 in a liver,
02:09:43.260 you prevent growth hormone from exerting its transduction in the liver because you need JAK2
02:09:49.460 as that second tyrosine kinase. So it's basically like taking away growth hormone from the liver.
02:09:55.880 That's right.
02:09:56.360 And if you do that, you accumulate fat in the liver.
02:10:00.020 25-fold increase in-
02:10:01.400 25-fold. So it becomes clinically grotesque. I mean, you just basically create foie gras.
02:10:06.260 In fact, there was a moment in time where I thought, well, this would be a fun
02:10:08.680 side business. I'll just make foie gras because we can engineer it.
02:10:11.880 Quick question. Did the triglycerides go up or stay the same?
02:10:15.460 Serum?
02:10:16.080 Yes.
02:10:16.560 No, they were the same.
02:10:17.700 So in other words, you shut off export, it seems like, significantly, right? There was no flux.
02:10:22.860 There's no outward. You were basically not getting any VLDL or triglyceride out of those livers.
02:10:26.740 Well, so we didn't know what we did at the beginning. We had no idea. In fact, I took the
02:10:30.540 liver to a pathologist because I said, I don't know what this is because I didn't know what it was.
02:10:34.480 And he said, Ethan, I'll look at another microscope for you, but I know what this is. And I said,
02:10:37.720 what's that? He said, it's NAFLD. And I said, what's NAFLD? And he said, it's non-alcoholic fatty liver.
02:10:41.360 And I said, okay. And so then of course, I started with the very basic,
02:10:45.420 like, all right, well, what are the causes of NAFLD? It's an increase in synthesis,
02:10:48.940 an increase in DNL, it's a decrease in export, an increase in uptake, or it's a decrease in
02:10:52.700 oxidation. So we started to go through this whole list. And to make a very long story short,
02:10:57.240 what we settled on and published, we published a model that I think mostly we've validated to
02:11:02.880 be true, although there's a little bit of controversy about it. And it comes back to what
02:11:06.460 you said. So growth hormone signals, and one of the products of growth hormone signaling in the
02:11:10.960 hepatocyte and other cells is this protein called IGF-1, insulin-like growth factor one.
02:11:16.260 And 95% of circulating, if not more, of circulating IGF-1 in the plasma. So if you take blood of you or
02:11:22.660 me, it comes from the liver. So it's liver derived. So if you knock out growth hormone signaling in
02:11:26.820 hepatocytes, you completely shut off and shut down circulating IGF-1. There's still local IGF-1 in
02:11:33.800 cells and tissues, but circulating IGF-1 goes to zero. And circulating IGF-1 is the plasma biosensor for
02:11:39.800 growth hormone. So growth hormone's half-life is extremely short. So we evolved a system to measure
02:11:44.660 growth hormone levels, not by measuring growth hormone itself, but by measuring IGF-1. So when
02:11:48.500 IGF-1 levels fall, the hypothalamus pituitary sense that, and then they turn on growth hormone.
02:11:53.880 That is so brilliant. Just as an engineer, I have to sort of reflect on that for a moment.
02:11:58.480 Every time I hear something like what you just said, I'm so glad that I was not in charge of
02:12:03.660 evolution. Because I would have screwed that one up. I would have said, make the growth hormone
02:12:08.920 sensor sense growth hormone. And of course you would get into a cyclic amplified response because
02:12:16.680 of how short it sticks around. But instead, luckily evolution was in charge and not me.
02:12:21.940 It said, no, no, no, no, no, dude, that's going to be way too fluctuating. Let's look at something
02:12:26.620 that's much more stable. That's a readout of growth hormone. Oh, Hey, how about IGF and have that be the
02:12:31.780 feedback loop? Goodness gracious. I love when nature is so smart.
02:12:36.640 The fascinating thing is that circulating IGF-1, I won't say it's all it does because it does a few
02:12:42.600 other things, but the vast majority of its role is as a plasma biosensor for growth hormone. So it
02:12:47.200 regulates growth hormone secretion. So what happens if you knock down IGF-1, you get this huge increase
02:12:51.480 in growth hormone secretion. You basically get acromegaly, but you get selective growth hormone
02:12:54.860 resistance in the hepatocyte. So you probably remember the growth hormone has been described for a long
02:13:00.480 time forever and ever to be pro-lipolytic. So it's actually one of two hormones that's both
02:13:05.040 catabolic and anabolic, but it turns on, it's a way to mobilize fat from adipose tissue stores.
02:13:10.420 Testosterone being the other, where you can be anabolic to muscle, catabolic to fat.
02:13:14.380 And thyroid hormone, I think is another one where you can be both.
02:13:16.800 Unlike insulin, for example, which would be anabolic to both. Yep. Or cortisol, which would be,
02:13:21.280 actually cortisol is the reverse. It's catabolic to muscle, anabolic to fat.
02:13:25.600 That's right. Yeah. So in any case, if you give an animal growth hormone,
02:13:28.800 if you have a patient who has a tumor that secretes growth hormone, what we disease called
02:13:32.480 acromegaly or gigantism, right? Andre the giant had gigantism. Those people have a decrease in lean
02:13:38.680 body mass, increase in muscle mass. That's basically because growth hormone mobilizes fat from adipose
02:13:43.600 tissue stores. So we reasoned that what was happening was that growth hormone was turning on lipolysis and
02:13:49.320 mobilizing all this fat and that that fat was getting taken up by the liver. What was interesting was we
02:13:53.400 did a relatively deep analysis of sort of all the mouse models that have been made involving the
02:13:58.320 receptor, GHR, downstream signaling components, including JAK2 and another one called STAT5.
02:14:03.860 And we looked at animals that have been engineered to be missing any of those components in the whole
02:14:07.700 animal versus just in the liver. And what was interesting was that the animals where you knock
02:14:11.960 out the pathway in the whole animal had a one to two fold increase in lipid in their liver,
02:14:18.000 very modest, if hardly noticeable. Whereas if you knock out the receptor or this other molecule,
02:14:24.040 STAT5 or JAK2, selectively just in hepatocytes, you get this 20 to 25 fold increase. And so that
02:14:29.680 told us it's not just about having high growth hormone levels. It's about high growth hormone
02:14:34.360 levels and those growth hormone levels acting on the periphery. It's also, there must be some other
02:14:39.740 factor that is important here. And so we reasoned, we did what people do, which we did a gene expression
02:14:45.460 array. We saw there's a molecule called CD36, which is also known as fatty acid translocase.
02:14:50.860 And we saw that it was increased by 20 fold in these animals where we knocked out JAK2 in the
02:14:55.800 liver. And we thought, well, gosh, this could be facilitating uptake. And so we did a series of
02:15:01.620 following experiments after that, where we knocked out CD36 just in hepatocytes and showed that we
02:15:05.340 could make that get better. So we put together this model where growth hormone, basically growth
02:15:10.220 hormone secretion is disinhibited at the level of the hypothalamus pituitary. You get an increase,
02:15:14.640 you get an increase in activity in peripheral tissues. It's then mobilizing all this fat. And then
02:15:20.620 the fat is being taken up sort of preferentially or augmented rate of uptake by the upregulation of
02:15:26.820 this molecule. Now, if you block JAK2 and block the expression of CD36, do you eliminate the fat
02:15:34.760 accumulation in the liver? Yeah. Yeah. That's the experiment we did. It wasn't 100%,
02:15:37.780 but we basically brought it back down to almost, you know, to instead of it being 100 grams per
02:15:43.160 milligram of tissue or something, it was like 20 where a normal mouse would be 11 or 12. So it's
02:15:48.260 near normalized. We also then did an experiment where we said, well, what happens if we block
02:15:52.880 this pathway, the growth hormone signaling pathway in adipocytes, since we're presuming that this must
02:15:57.580 be a product of lipolysis. So what happens if we block this pathway in adipocytes? So we went and
02:16:02.580 made an animal where we knocked out JAK2 in adipocytes selectively. And then we crossed the two
02:16:07.700 together and asked what would happen. Basically, can you reduce the amount of lipid in the liver by
02:16:12.120 knocking out both at the same time? And we did. And that experiment we did almost 10 years ago. And
02:16:18.740 what was so fascinating about that experiment was we never intended to get into any of the insulin
02:16:23.040 glucose homeostasis stuff at all. But when you're doing these experiments, they're expensive. And so
02:16:27.920 we did a bunch of things, you know, measured. We did, I think we did an insulin tolerance test for
02:16:31.720 some reason on these mice. And we saw that the mice where we knocked out JAK2 just in the adipocytes
02:16:36.240 had the most profound insulin sensitivity. Like we actually killed our mice because they died
02:16:41.020 from hypoglycemia. We gave them the same amount of insulin that you gave a normal mouse and they
02:16:45.280 bottomed out and we couldn't rescue them. And they, they were super insulin sensitive.
02:16:49.340 And this was mostly glucose being disposed into the muscle?
02:16:52.760 No, it turns out. So we thought that was interesting. So we then went on to kind of dig
02:16:56.380 deeper on what was going on. Again, here we'd knocked out this pathway just in adipocytes.
02:17:02.000 And we saw that if you knock out the pathway in adipocytes.
02:17:05.060 But I'm confused. So you knock out the pathway in adipocytes,
02:17:08.220 when they're hypoglycemic, you're putting that glucose very easily into muscle or into liver. I
02:17:14.960 mean, you'd have to put it into one of those two, wouldn't you to then, even if you wanted to then
02:17:19.080 put it into fat, into the fat cell, right? Yeah. So, and what you're asking is a phenomenal
02:17:23.780 question. And we had initially, I think naively thought that this was an adipocyte autonomous
02:17:28.260 effect that we thought must be the adipocyte, but then there's not that much glucose that's
02:17:33.220 actually disposed into the adipocyte on a per mass basis. So we thought that doesn't make sense.
02:17:36.620 So we ended up doing what you do, which is to clamp the animals. And it turns out that the
02:17:40.880 defect is almost entirely in turning off EGP. So basically what we do is we completely turn off
02:17:47.920 endogenous glucose production from the liver. Which is really not an insulin sensitivity
02:17:51.620 issue at all. It just masquerades as profound insulin sensitivity, but you basically clamp the
02:17:57.500 portal vein metaphorically and you kill an organism in five minutes if you stop hepatic glucose output.
02:18:03.600 How quickly did you see these animals die? It was within 30 minutes.
02:18:06.980 Oh my God. Yeah. Yeah. It was really profound. And, and so this then sent us off in this like long,
02:18:13.060 what's now been a 10 year journey to try and understand how growth hormone regulates
02:18:16.520 insulin sensitivity or insulin glucose homeostasis and how that happens through the adipocyte. We won't
02:18:22.680 get into all of it now, but it turned me onto the kind of remarkable figure. One of these figures in
02:18:28.040 history that I didn't know before I got into this, that I am surprised he, this guy, Bernardo Husay,
02:18:34.420 who was an Argentinian physician scientist who won the Nobel prize.
02:18:37.840 First Latin American to win the Nobel prize, right?
02:18:40.140 I mean, this guy was unbelievable. I'll send you a link. There was a period of time in the 1930s. I
02:18:45.040 think it was 1936 where he was the first or only author on 14 articles in the New England Journal of
02:18:54.600 Medicine over five weeks. At one point he had, it was the most unbelievably productive period of time
02:19:00.000 I've ever seen. And he ended up winning the Nobel prize. He shared the Nobel prize with the Corys
02:19:03.980 of the Cori cycle, which I didn't know until recently, I was reviewing some of this stuff for
02:19:08.680 our talk today. And I didn't realize that they had collaborated on some stuff back in the 1930s,
02:19:13.680 but he defined the diabetogenic nature of growth hormone. So he did these experiments that I think
02:19:19.420 were really cool and basically got left behind because no one really paid attention to any of this stuff
02:19:23.560 for a long time. But he defined that if you take an animal, the first set of experiments he did was
02:19:28.760 he took an animal and took the pituitary out and then gave the animal insulin and saw that the
02:19:35.680 animal was, he described it as they were more susceptible to being to the toxic effects of
02:19:39.960 insulin. So they bottomed their blood sugar out. He then did the opposite experiment where he took
02:19:44.300 an animal, he lopped out the pancreas and then saw that if he got rid of the pituitary gland,
02:19:49.880 that they were less susceptible to the hyperglycemia, that they basically had improved
02:19:53.360 diabetes. And those experiments continued on for 60 years.
02:19:57.600 Let me just make sure I understood. Take away growth hormone and you're going to become much
02:20:04.540 more theoretically or appear insulin sensitive, but in reality, much more hypoglycemic.
02:20:09.340 Take away growth hormone in the absence of the pancreas and you actually tolerate hyperglycemia
02:20:15.920 better.
02:20:16.480 That's right. And in fact, there were people in the sixties, I believe, who were doing
02:20:20.640 hypophysectomies in people with very brittle type two diabetes.
02:20:24.640 So severing the link between the hypothalamus and the pituitary.
02:20:28.040 They were taking the pituitary right out. Wow.
02:20:30.560 And it was a very effective treatment actually, except that it had significant morbidity and
02:20:35.280 mortality of the surgery. So it was at that time they were, they had perfected the art of
02:20:39.000 taking the pituitary out.
02:20:39.980 But even when they did, you're saying even now that they'd have to replace all of the
02:20:43.240 thyroid and sex hormone and ACTH, the cortisol related stuff, it still turned out to be better
02:20:49.460 off all things considered in how well it managed their diabetes.
02:20:52.360 The ultimate killer experiment happened in 1983 ish or so. And so they took patients with type
02:20:59.360 one diabetes who had an insulin pump. So they were getting a fixed dose of insulin and then
02:21:04.020 they gave them, I believe one or two injections of growth hormone. And you could see the insulin
02:21:09.480 level go like this straight up. Basically their insulin use within a day spikes and stays up until
02:21:16.960 they stopped the GH injections and it comes back down. And in fact, three out of the seven people
02:21:21.140 in this one study got profoundly hypoglycemic when they stopped the growth hormone. So it turns out
02:21:26.400 that there's a drug that blocks the growth hormone receptor that's used as a second line treatment for
02:21:30.300 acromegaly. It's called somovir or picvisimum. It's a analog of native wild type GH just has a few
02:21:38.080 mutations in it that renders it basically as a dominant negative. So it doesn't allow, basically shuts off
02:21:42.800 the receptor and it's used again clinically. And if you look at the package insert, the black box
02:21:48.840 warning is if you take any diabetes drugs, let your doctor know because your risk of hypoglycemia is so
02:21:54.740 high. So it actually reminds me a lot of the sort of low carb ketogenic diet in the sense that it has
02:22:00.140 that same effect. And in that 1983 New England journal paper, they actually talked about growth hormone
02:22:05.520 secretion being as much the cause of brittle type 2 diabetes as the effect. And for reasons that I
02:22:13.060 don't understand, people just forgot about it. And so we set out to kind of try and understand at least
02:22:18.340 at the beginning at a cellular level, how is this regulated? And we're trying to dig down. It turns out
02:22:23.500 that it all comes back to your favorite molecule, mTOR. And it looks like it converges in this intersection
02:22:29.200 between these two signaling pathways that evolved actually only, I mean, growth hormone doesn't
02:22:34.200 exist pre-telios. So there's no growth hormone in flies or worms. It's only in invertebrates and
02:22:40.240 teliosts. And it co-evolved basically from insulin, which is not that surprising, right? IGF-1
02:22:45.900 is basically the target molecule of GH. It's not surprising that GH and insulin would have evolved
02:22:52.580 in a similar way, even though they look very different, they act very different. So the way I think
02:22:57.360 about it is that growth hormones kind of retained a lot of the sort of metabolic effects of insulin
02:23:02.320 and insulin obviously has retained a lot of the growth promoting effects that used to be with growth
02:23:07.880 hormone when they were all one molecule. And so the point is that I think that these two molecules act
02:23:12.620 in concert. And from our experiments, it looks like that's happening in the adipocyte and that basically
02:23:17.900 growth hormone is acting as a break on insulin signaling and that that's controlling metabolism in the
02:23:23.900 whole body at a distance. And so that's what we've been working on. And again, we could probably
02:23:27.180 talk about that for three hours, but it's been keeping us busy.
02:23:31.880 So let me kind of think through this a little bit because it's so interesting. Let's go back for a
02:23:35.960 second to, you didn't mention IGF binding proteins, but where do they fit into this? The IGF-BPs as
02:23:43.400 they're called are also made by the liver, correct? So IGF is mostly made by the liver. IGF-BP-2,
02:23:49.600 BP-3 also made by the liver. These are interesting to most people listening to this because if they
02:23:55.820 pay attention to any of the sort of epidemiology around longevity, there's so much controversy
02:24:01.040 around this idea of IGF and its association with mortality and you have such conflicting
02:24:07.460 information, that's what makes this so challenging, right? So you have these people that have mutations
02:24:12.160 in either the GHR or low GH secretion and or low IGF due to a deficient GHR on the liver and they seem
02:24:22.700 to live longer or at least get less cancer, but then they also seem to get a bunch of other diseases
02:24:27.120 that are kind of weird. But when you look at all cause mortality, it seems to nadir at the 60th or
02:24:34.680 70th percentile for everything. But when you do it by disease, certain diseases seem to get better with
02:24:41.080 higher IGF, like Alzheimer's disease. And I believe cardiovascular disease, you would know this,
02:24:46.180 but others get worse, like cancer starts to go up.
02:24:48.640 So how does all of that make sense in terms of what you're learning at this level?
02:24:55.240 Well, I'll say that the GH meetings are fascinating because they're basically,
02:24:59.400 the room aligns in these two camps. There's one side of the room that believes that GH is the elixir
02:25:04.460 that will promote longevity. And there's the other side of the room that believes that too much GH
02:25:09.600 signaling will negatively impact longevity. It's really interesting the way these two things. I think
02:25:14.200 for me, if you start with what we know from human genetics and animal genetics, it's incontrovertible
02:25:21.420 that excess GH signaling, at least at the levels that you see with transgenic animals or acromegaly,
02:25:28.020 is one of the most potent ways to die, right? I mean, people with acromegaly, untreated acromegaly,
02:25:32.820 die in their 30s and 20s and they die of cardiovascular disease. So I think that's
02:25:36.720 gain of function. And again, the animal's the same thing. It's a great way to shorten lifespan in any
02:25:42.180 animal, whether it's a worm or a fly or increased signaling through this pathway and you'll shorten
02:25:47.000 lifespan. And then the flip side, so you mentioned Lerone patients, right? Those patients don't have
02:25:51.680 increased longevity per se, but they sure do have a decrease in their risk of metabolic disease. It's
02:25:58.680 a much decreased risk of developing type 2 diabetes despite an increase in body fat, right? So they have
02:26:04.400 this body composition where they have a 50% body fat, which you'd think would be dangerous. It turns out
02:26:12.020 that they and the mice, so there's a mouse model of Lerone syndrome. And that's actually the longest
02:26:15.920 lived mouse that's ever been engineered. There was a prize that, I don't know if it still exists,
02:26:20.060 but it's called the Methuselah Prize. And they used to give out, I think it was $5 million to an
02:26:24.620 investigator if you could engineer the longest living mouse that's ever been made. And so this guy,
02:26:29.100 Andre Bartke at Southern Illinois, engineered the mouse that's missing. Actually, he and John Kopchick
02:26:35.060 did it together, this experiment where they engineered the mouse that's missing GHR. And that mouse lived to be
02:26:39.220 1,819 days, which is basically the equivalent of like 207 human years. It's still to this day, the longest
02:26:45.620 living mouse that's ever been made. And that meant it was without GHR in the liver? No, anywhere.
02:26:52.080 Anywhere. Anywhere. And that means for its entire life? The whole life. So these are short and fat mice
02:26:56.560 and they live forever. So, but they have all the other problems that you'd have if you're missing
02:27:01.140 growth hormone congenitally. So they're short and they're, they're pretty fat. What's interesting is that
02:27:06.140 that fat. Are they cognitively the same? The mice or the people? The mice. Well, I guess both,
02:27:11.940 but I was asking specifically about the mice. I think they are. It's a great question. I don't
02:27:14.380 know how much has been done on their cognitive abilities late in life, but, but they clearly are
02:27:18.780 very resistant to these diseases that kill mice in labs. They're healthy by every stretch. They're
02:27:24.720 extraordinarily insulin sensitive. I mean, again, same thing that was described before we ever did these
02:27:29.180 experiments. What we demonstrated was that the insulin sensitivity is conferred by the absence of the
02:27:33.600 signaling pathway in the adipose tissue, which is acting at a distance mostly on the liver.
02:27:38.660 So what do you think confers the protection to the Leron's patients?
02:27:42.040 I don't know. It's one of the things I think about every day, but at a very simple level,
02:27:44.880 I think of it as an improvement in insulin sensitivity, decrease in insulin and decrease
02:27:49.580 in IGF-1. I can't get better than that right now, but I think the circulating insulin levels
02:27:55.540 are nearly undetectable and mice in labs die of cancer. And I think there's probably just less
02:28:02.740 insulin, less IGF-1, and they just don't get cancer.
02:28:06.120 Because this relationship between hyperinsulinemia and high glucose, you and I both are on an
02:28:12.500 advisory board of a company called Virta Health, and that's how we actually met a few years ago.
02:28:16.920 And I remember in one of the meetings, we were discussing this idea that people need to
02:28:22.660 understand the difference between managing glucose and managing insulin, right? If you manage glucose
02:28:28.240 levels, if you keep glucose levels in the ideal range, by any means, you control microvascular
02:28:34.400 disease. You're less likely to go blind and less likely to have kidney failure and have an amputation.
02:28:40.160 But if you do that with a strategy of high insulin, you trade it for macrovascular disease,
02:28:46.040 atherosclerosis, coronary artery disease throughout the body, obviously, you know, in the coronary
02:28:51.080 arteries and cerebral arteries, even the aorta, the large vessels, suggesting that even high insulin by
02:28:57.360 itself can be problematic. So these patients are walking around with very low insulin, which you
02:29:03.220 could see would protect them at the macrovascular level. Because of this, I still think of it as a
02:29:09.220 paradox because I'm still struggling to wrap my head around their insulin sensitivity, how they can be
02:29:14.060 so insulin sensitive, but they also obviously have normal glucose levels. So their microvascular stuff
02:29:19.580 is okay. And then on top of that, you're saying if insulin and IGF are pro, from a metabolic
02:29:26.800 standpoint, pro-oncologic or pro-tumor, you also get that benefit. The one I've never understood is,
02:29:34.520 aren't these things important neurotrophically? I mean, isn't IGF and GH important in the brain and
02:29:39.460 how are they avoiding those consequences? One of the foibles of doing what we do is that we look at
02:29:45.480 what we look at and don't look at anything else. So again, I set out to do these experiments
02:29:49.560 originally because I was interested in the clotting. It was only an accident that we noticed that the
02:29:53.140 liver looked like foie gras. We've never looked at the brain. And I don't know how much others have
02:29:58.220 looked at the brain. And I'm not sure how much what happens in a mouse brain would guide us,
02:30:02.700 but it's a great question. I think if you're just asking about the things that I can measure,
02:30:08.520 so metabolic disease, cardiovascular disease, cancer, and lifespan, it seems like everything
02:30:14.220 aligns towards too much GH being bad and less GH being better. But I can't tell you about the
02:30:21.180 neuro stuff. It could be the opposite there. And why is it that if the patients with Laurent
02:30:25.320 syndrome are less likely to die or they get to phase shift and delay the onset of cardiovascular
02:30:30.900 disease, neurodegenerative disease, and cancer, they don't have a survival advantage?
02:30:35.400 Well, the story that I, I mean, again, you're talking about pockets of a few hundred people. I think
02:30:39.420 the one that's gotten the most attention is this one in Ecuador and there are 300 patients there.
02:30:43.000 I think what's amazing is that the 30-year follow-up of that cohort of people, there was
02:30:47.100 not one single case of cancer or diabetes over 30 years in 300 people compared to like, you know,
02:30:52.880 15% in their age-matched relatives. What I heard was that they were depressed and had an increased
02:30:59.100 risk of alcoholism because they were basically ostracized for being fat dwarfs. I mean, I hate to
02:31:05.100 be harsh, but I think that was my interpretation.
02:31:06.980 Yeah. And I also heard there was a higher incidence of accidental death and other things, which you could
02:31:10.920 argue, well, you have to die of something. So if accidental death explains it, that should still
02:31:16.140 show a survival advantage.
02:31:17.580 I think we're getting into the sort of trouble of trying to-
02:31:20.160 Yeah. Epidemiology just makes this very difficult.
02:31:22.300 Especially in these small like inbred communities. I think it just becomes almost impossible. So
02:31:26.100 we talked about experiments we're never going to have answers to. We're never going to have a human
02:31:29.500 longevity lifespan study that you or I will see the results of. And we just have to understand that.
02:31:34.960 So, but in the meantime, we can talk about the other stuff. And I mean, the insulin thing to me is
02:31:39.500 interesting because I think there are some people out there in the Twitter sphere who are sort of
02:31:44.160 fall into the category of statin denialists. And I think there's this narrative that's developed
02:31:49.180 out there that statins don't treat the underlying cause of cardiovascular disease, that the underlying
02:31:52.900 cause of cardiovascular disease is insulin. And while I'm firmly in the camp and will ever expect
02:31:58.780 to remain in the camp, that lipids are fundamental and probably the most important driver of cardiovascular
02:32:02.800 disease, of atherosclerotic disease and events, I do think there's good evidence that insulin
02:32:07.780 actually does play a role. And in fact, there were some studies that were published, you know,
02:32:11.640 over the years that showed that, that fasting insulin was an independent risk factor for
02:32:15.980 cardiovascular disease. And it makes sense.
02:32:18.240 Don't we also see this borne out in the type one literature that stratifies patients by insulin use?
02:32:22.740 Yeah.
02:32:23.320 I think James O'Keefe published a paper on this about two years ago. Do you know James?
02:32:26.780 No.
02:32:27.520 Proventional cardiologist in Kansas. Mostly his work is in exercise and the role of too much exercise
02:32:32.820 actually, but actually published a paper in this a while ago. So yeah, super interesting.
02:32:37.040 This is clearly top 10 questions I get asked all the time is, should I be on growth hormone?
02:32:42.340 My general answer is no, mostly through the lens of, I'm not convinced by any data that growth hormone
02:32:49.100 will promote longevity. But on the flip side, I've also softened my tone. I used to just think on first
02:32:55.840 principles, it made no sense because of if nothing else, the cancer risk. But of course, the other thing
02:33:01.400 that's odd is there's so many people taking growth hormone, especially athletes. And if there is a
02:33:08.320 negative consequence of it, it's probably not as big as I would have guessed. And, or it takes a lot
02:33:14.280 longer to show up than I would have guessed because we just don't see the trail of body bags that you
02:33:19.360 would expect.
02:33:20.280 I mean, that's the thing is you have Barry Bonds at 25 or 28 taking a bunch of growth hormone. What do you
02:33:24.000 expect? So maybe his risk of having an MI is increased twofold or threefold.
02:33:28.260 Would that be enough to see? Don't you think? Wouldn't a twofold increase show up?
02:33:32.540 In a non-randomized cohort of athletes taking an illegal drug? I don't think we have the data. I
02:33:37.960 don't feel confident. What I've learned in this work is that these hormones are regulated in ways
02:33:42.720 that we can't even begin to understand. I mean, it's so complicated. And so I'm nervous to go in
02:33:48.640 there and start perturbing it or replacing it if it's deficient. Because I just, I see all the
02:33:54.180 different things that can happen and how complicated that can be. So I'm a little bit more of a
02:33:58.640 minimalist, I guess, when it comes to these kinds of interventions. But my answer to my patients is
02:34:02.800 every line of evidence I can see about GH, at least, is that if you're worried, if you're
02:34:07.880 optimizing for longevity, it's hard to tell a story that that's going to help you. Now, if you're
02:34:12.660 optimizing for, I want to feel better. I want to increase my lean muscle mass. I want to decrease
02:34:16.880 my fat mass. I want to look better. Go for it if that's what you want. And so that's what I tell
02:34:22.080 people is if this is something that you're willing to understand that we have no evidence that it's
02:34:25.680 probably going to increase your lifespan, it may more likely even decrease it, but you like how it
02:34:29.920 makes you feel and look, then sure. So I would agree with all of that. I think the one area where I
02:34:35.380 would love to see more investigation, and this is certainly amenable to a clinical trial,
02:34:41.180 is does increasing IGF in patients with either very high risk for or early cognitive impairment
02:34:47.880 improve outcomes? I think the literature makes a plausible case that that could be the case,
02:34:52.920 and that strikes me as a subset in patients, at least for me clinically, that I am most interested
02:34:58.760 in knowing the answer to that question. If we take our high risk dementia patients, or worse yet,
02:35:04.300 patients who are already in the earliest stages of cognitive impairment, and take the ones who are at
02:35:10.380 lower levels, you know, the bottom quartile of IGF levels, will GH provide benefit?
02:35:16.780 Yeah, it's a great trial. What happens to your IGF one when you fast?
02:35:21.300 Oh, it plummets, and the numbers are kind of irrelevant because it's all a function of your
02:35:24.680 scale. So when I was on a ketogenic diet for three years with no fluctuation, my IGF level resided at
02:35:31.340 the 40th or 50th percentile for my age. So the lab that I use gives me not only my IGF level,
02:35:36.520 but in five-year increments, it gives me the distribution of it. So I can, you can very
02:35:40.700 accurately peg where you are. So for me, constantly being on a ketogenic diet put me at about the 40th
02:35:46.580 to 50th percentile for IGF level, which is not really surprising when you consider that a ketogenic
02:35:52.100 diet minimizes insulin. And also for most people actually keeps protein lower than you would
02:35:56.300 otherwise normally have it. So methionine plays such an important role in this, of course.
02:36:00.740 When I'm not on a ketogenic diet, which I'm not these days, except for in the peri-fasting period,
02:36:05.960 my IGF probably lives closer to the 70th percentile. On our scale, that's about 200.
02:36:12.240 When I do a fast, so I'll do a blood draw right before the fast. And then usually on day six or
02:36:18.180 day seven of a complete water only fast, that IGF will be in the eighties, nineties, which is more
02:36:25.540 than two standard deviations below the mean. What I find most interesting is how long it takes to
02:36:30.680 rebound. And it takes about six weeks to come back to normal. So, and have you ever, and measuring
02:36:36.540 growth hormone is one of the hardest things to do because it's so I've never measured it for that
02:36:39.780 reason. I just, I, yeah. I mean, it might be so high that you would be able to, to see something.
02:36:46.120 Let's talk about it. Cause I'd love to figure out the problem is I only fast in New York and ever in
02:36:50.180 San Francisco, but maybe I'll do a fast up here and swing by the lab and we'll do daily
02:36:54.220 or something. I guess we have to get an IRB these days. We can't do anything for fun,
02:36:58.140 but it's very interesting to see how much you can manipulate GH nutritionally.
02:37:04.080 Well, that's what, one of the things that we're really interested in understanding,
02:37:06.960 like in the future is understanding its role in this fasting feeding transition. And it goes up
02:37:11.240 in fasting, but as you say, IGF one levels go down. So you get this like selective GH resistance
02:37:17.360 in the liver, at least the question of is whether you're getting GH resistance in other tissues as
02:37:21.600 well. But why would you have this hormone go up and then lose its activity? It's kind of a funny
02:37:26.780 thing, right? And you see this in people with anorexia too.
02:37:29.440 Yeah. I've never actually understood it as well as I feel like I do now based on the way you've told
02:37:34.880 this story of, it's a great way to describe it, right? Selective GH resistance in the liver,
02:37:40.460 IGF is plummeting, GH is skyrocketing. Then the question, and we should know this and
02:37:44.980 eventually we will, what is GH activity in adipocytes? Is it actually maintained? And so
02:37:49.180 are you basically trying to mobilize fat as a way of avoiding starvation? Is it basically you're
02:37:54.980 trying to direct GH to act only on the periphery and not on the liver?
02:37:58.440 By the way, if you believe that periodic fasting improves longevity, and I certainly do,
02:38:04.240 Walter Longo does, we might come at it from different ways. It also begs the question,
02:38:08.720 is the benefit conferred by the reduction in IGF or the transient rise in GH?
02:38:13.340 Yeah. Or something completely different.
02:38:14.940 I never even really considered that the benefit could be conferred from the GH rise. Although that
02:38:19.780 seems less likely given that it's hard to imagine you, I mean, who knows though? Maybe,
02:38:24.320 maybe there's something, I mean, if biology teaches us anything, it's to stop acting like we know what
02:38:28.860 we're talking about. Exactly. Exactly.
02:38:31.560 Ethan, I want to go back to something because I know we've got to wrap up. You've got to get back
02:38:35.080 to stuff. You know, you talked about something at the beginning that I didn't know, which was you
02:38:40.560 went off to Vassar to get as far away from science as you could. And yet you had an experience there that
02:38:47.440 presented science in the right way. And I would argue the world is actually a better place for you
02:38:53.520 doing what you're doing now, which is not to say that you being the drummer of a band wouldn't
02:38:57.860 have been equally impactful, but maybe I'm biased. This is an interesting topic to me because
02:39:03.440 my biggest fear, or certainly one of my biggest fears in education is a retreat from science.
02:39:10.600 What could a parent think about out there as they think about their son or daughter? And I'm actually
02:39:16.720 even more afraid of it in the case of girls where there's this ridiculous, stupid, and I really think
02:39:21.740 it is stupid and incorrect that girls are just not going to be as good at science or math.
02:39:26.080 I think that most of that is actually a feed forward mechanism that's built into an expectation.
02:39:31.660 I mean, how do you think about this with your kids or how could I think about it with my kids
02:39:34.920 or anybody else thinking about this? Like, what can we do to make science as exciting as it can
02:39:40.780 possibly be? And if for no other reason, it's not, I even say this to people, it's not because
02:39:44.340 everyone has to become a scientist. It's an inability to understand science makes you a victim
02:39:49.180 for the rest of your life. Whether you want to admit it or not, if you can't at least have some
02:39:54.260 understanding of science and think critically, you are going to be overrun with propaganda and
02:39:58.980 nonsense. And the consequence of that is enormous. And we see it, you know, I don't think this fact
02:40:03.800 is necessarily correct today, but it was at the time, you know, that I knew it and it won't be
02:40:09.120 directionally off. At the time of the statistic, there's what, 565 members in the House of Representatives
02:40:16.040 in the Senate, 5 of them had degrees in science. So less than 1% of the lawmakers of this country
02:40:23.760 are trained scientifically. That just doesn't strike me as an appropriate balance. So what
02:40:29.980 happened at Vassar and how can we reproduce it? So those are two things that I think about a lot.
02:40:33.980 One is obviously we as a group of scientists need to do a better job of communicating what we do in an
02:40:38.700 interesting and exciting way to people without dumbing it down. And I think, honestly, I'm not just
02:40:42.720 saying this to shove sunshine up your ass, but I've had so many calls from people, either people I do
02:40:48.560 know or people I don't know who've said, I just heard this great podcast. And I think what you're
02:40:52.640 doing here is bold because you're not shying away from getting into the depth. It may be that a lot
02:40:58.120 of the conversation that we had around the science was over the head of the average layperson who hasn't
02:41:02.520 had science, but I still think it's valuable and they're going to go off and get literate about
02:41:06.600 something and they're finding it interesting. So I think we as a community need to do that. And whether it's you
02:41:10.440 or it's Ron Vale and iBiology or other things, which if you haven't seen it, I highly recommend
02:41:16.500 he's making these videos. In fact, they did one with Dave Sabatini, a series on mTOR.
02:41:20.680 Yeah, I saw that one.
02:41:21.500 Yeah. If we're going to get more people interested in science, we got to make it more interesting.
02:41:25.860 The second thing is there's this trend and you know this because you've got kids of hyper
02:41:30.520 specialization earlier and earlier in life. I could afford to go to medical school
02:41:35.400 making the decision as a sophomore in college. That's almost impossible to believe that that
02:41:41.460 could happen today. I mean, it could happen, but you'd have to take time off. But what I find with
02:41:44.940 our trainees is that people who don't, two things happen. One is people who get into science at a
02:41:50.680 young age get burned out and don't like it by the time they get to be, you know, a fellow or a resident
02:41:55.620 or attending. And the second thing is the people who don't get into science, like me,
02:41:59.560 the Ethan Weiss's who go to Vassar in 2019 and not 1991 find it way too much of an obstacle to get
02:42:08.580 in now. Like it's just too complicated and too many barriers. So one of the things that I'm
02:42:12.740 passionate about and I'm actually working on it, I can't really talk about it now, but we're going
02:42:16.680 to talk about it soon. We're working on some ways to help MD only medical students and beyond
02:42:22.220 get exposed to like real intensive two and three year experiences in the lab. So the kind of thing that
02:42:28.380 used to happen routinely where people would go and work at the NIH like you did or other things
02:42:33.680 where they can get exposed to science in a meaningful way, even if their career is not
02:42:36.780 going to be as a PI running a lab, it will help increase the scientific literacy, having, being
02:42:41.900 able to speak both these languages. So that's something I'm super passionate about.
02:42:45.180 Because traditional medical school is actually not scientific training.
02:42:48.260 I mean, it's gone now. So, you know, I've heard this saying, I don't know who this one gets
02:42:51.380 attributed to, but the gist of it is that we've taken the science out of medical school and the
02:42:54.720 medicine out of graduate school, right? So our graduate students are
02:42:58.240 craving more understanding of physiology and medicine. Our medical students are not really
02:43:02.180 missing what they're not getting, but they're not learning science anymore. And so once that
02:43:06.340 happens, then the likelihood that that student who's not done a PhD, who's never worked in
02:43:10.740 a lab is going to have the courage or the ability to go work in a lab later on in life is close
02:43:16.620 to zero. And the thing is, what was great about the way it happened for me was that I came
02:43:20.540 to it without much preconceived notion and dogma. So I came to it with just native curiosity
02:43:25.920 and sort of like, how should things work? And look, I wish my basis of scientific knowledge
02:43:32.940 was, was greater than it is. I I'm jealous of people like, you know, my MD PhD friends
02:43:37.560 from Hopkins, like Dave Sabatine, those guys, I'm totally jealous of how deep their knowledge
02:43:41.960 is, but I have a different perspective and I bring the clinical work that I do and the
02:43:46.560 things that I think about when I'm seeing patients and have thought about. So it's a different
02:43:50.200 way.
02:43:50.420 We didn't get a chance to talk about it, but you've been really, I mean, as though everything
02:43:55.200 we've described, your entire clinical career, your amazing stuff you're doing in the lab
02:43:59.620 isn't enough to keep you busy. And oh, by the way, you also have a family. You decided
02:44:04.400 like, I mean, I feel like you did it in a week. Cause I remember when you called me and told
02:44:08.200 me about it. And then a week later you had a prototype and then two weeks later you had
02:44:11.840 your next brother. You started a company last year.
02:44:14.280 Yeah.
02:44:14.940 So can you tell us a little bit about that? Cause half my patients now are using this device.
02:44:18.860 We could do an entire podcast on this and maybe I'll have a podcast and bring you on. Cause
02:44:23.520 I do think there's some of this stuff. Like when I first called you, I remember calling
02:44:26.240 you, it was like a Saturday or Sunday and you were generous to take the time to help
02:44:30.020 me think about this. And we talked a lot about the behavioral science, which, and the behavioral
02:44:33.740 economics, which is something we've talked about a lot at our time on the Virta advisory
02:44:37.460 board. And I think it's, to me, it's the most interesting part of this whole obesity
02:44:41.020 story, right? Is that we're talking about a behavior at its core and a change in behavior.
02:44:46.700 And how do we, at the absolute most basic level, how do we use technology to help people
02:44:53.020 change their behavior? And that's something that I've been thinking about for a long time.
02:44:56.820 And to make a really, really, really long story short, I got together with an amazing
02:45:01.880 team of people who'd been doing work in weight loss. And actually when I told them what I wanted
02:45:07.100 to do, they both told me to get lost. They said, they're never going to do a weight loss
02:45:10.180 startup again. They had started and sold a company to Weight Watchers and said, it's too hard.
02:45:14.580 People say they want to lose weight, but they actually don't. They don't have the tools to
02:45:17.960 do it. So short version of a long story, we thought, well, gosh, you know, one thing that
02:45:23.720 is true, I think about weight loss in general for people who struggle is that we're not giving
02:45:29.300 them the information they need to be able to make the change in behavior. The only information
02:45:33.840 that we give people is the information they get from stepping on their scale. That's an incredibly
02:45:37.800 lagging indicator. I mean, you could have an entire gallon of ice cream tonight at 11 o'clock
02:45:42.060 and step on the scale tomorrow and you may not have any difference in your weight. So
02:45:45.000 it's relatively useless on a day-to-day level. And by the time you actually get information,
02:45:49.500 it's not actionable. I would add one more thing, which is the amount of movement in water
02:45:54.700 alone makes it almost impossible. For example, the average woman who is still experiencing a
02:46:01.160 menstrual cycle can easily fluctuate by eight pounds in a month. It's a four kilogram average
02:46:07.360 fluctuation in water weight. So can you imagine if a woman says, I want to lose 10 pounds and she's
02:46:14.340 using her scale, it's just impossible. And you can build in moving averages and other things,
02:46:20.200 but again, you're not giving them the information they need to be able to make the changes if they
02:46:23.400 want to make a change. So what's interesting and unique about it. So when I came to the Virta
02:46:27.680 advisory board, I'd never done keto before. And frankly, I kind of thought it was a little bit
02:46:31.580 weird. I don't know if you remember that first advisory board meeting we had at the Mexican
02:46:35.020 restaurant down there. And I still joke about this. In fact, I think I've joked about it with
02:46:38.240 Sami and Steve that I show up at this thing and like there's bowls of guacamole there with spoons
02:46:42.720 in them and like, you know, fajita dishes without wraps. And like, there was no, not a carbohydrate
02:46:48.640 to be found on the table. I thought this is like a cult. Like this is, this is weird. And I never
02:46:53.240 really had any curiosity about doing it. And then I tried it myself and I realized that the one unique
02:46:58.140 fact about this diet that's different from all other diets that I know of other than fasting for a
02:47:02.520 week is it allows you to follow biomarker. And that if you use that biomarker as a guide to help
02:47:08.000 your own adherence, it can help reinforce some of these behaviors. And maybe that would be sufficient.
02:47:14.320 So we finally decided to try this thing. And one of the issues, as you know better than anybody,
02:47:19.560 testing your ketone level, whether it's through blood or breath or urine, has all kinds of issues.
02:47:24.720 And there's imperfection, but we figured if we could build a good sensor, I'm not talking about like a
02:47:29.840 lab level sensor, but a good sensor that people could use, they could carry around that would be
02:47:34.580 portable and accurate enough to help guide these behavioral changes that we could use that as the
02:47:41.340 basis of basically replacing a lot of the human intervention that goes into programs like Virta,
02:47:47.360 right? So Virta is successful at what they do in a different population, right? The population of
02:47:52.420 people not really primarily trying to lose weight, but more trying to manage their diabetes,
02:47:56.040 but that takes a lot of human capital. So could this information help replace that and kind of make
02:48:02.840 it more economically feasible? And so basically through just a series of incredibly fortunate
02:48:09.000 accidents and beyond hard, hard work from this team, we were able to get the sensor, swap out a
02:48:14.820 alcohol sensor for an acetone specific sensor and got this thing to market quickly. It didn't feel like
02:48:20.540 a day, but it was fast. I mean, we, we basically, I think you and I spoke in August.
02:48:24.580 I mean, I feel like I had a prototype in October because I managed my calendar through my fasts,
02:48:30.800 which are always beginning and quarter. And then of course, by the, by December had the,
02:48:35.020 the version I have now, which is great. And that's the one a number of my patients have.
02:48:39.000 I think it was November. And so, yeah, we are doing this kind of slow.
02:48:41.840 So tell people, I don't even think we've mentioned the name of the company. So what's the name of the
02:48:44.680 company?
02:48:45.080 It's called, well, it's spelled K-E-Y-T-O and most people pronounce it keto as you would pronounce
02:48:50.660 ketogenic diet, but we were sort of intentional in being vague about whether you could call it
02:48:55.200 key two, if you wanted to, and it leaves it open to the idea that it could be more than just
02:48:59.320 ketogenic diet. And so the company is organized around one is giving people the information they
02:49:04.760 need through this sensor, which, you know, links up to an app to giving people information they need
02:49:08.800 to be able to succeed at whatever they're doing. So you know how to do keto. You've done Ted talks on
02:49:13.620 keto, but an average person hears about ketogenic diet and they're like, well, I don't know how to do
02:49:17.700 that. So we give people the information they need to be able to do the diet. And then at some
02:49:21.620 point, and it won't be now, but at some point we're going to help people get to, you know what
02:49:25.380 to do. You're measuring how well you're doing, but how you actually, how can you enable that?
02:49:30.060 How can you get people the food? So I cook 90% of the meals. I've got my lunch that I brought with
02:49:35.120 me over there in a bag, but a lot of people don't have that luxury. And so they'll go out here,
02:49:39.740 this food court and want to get lunch. And so can we help deliver that food to them at some point?
02:49:44.600 So that's sort of the big picture of what we're doing. And it's been incredibly fun. I mean,
02:49:48.720 I've been at UCSF now, I've been in this office for almost 10 years. And I, I do think I'm like
02:49:55.660 one of the luckiest people in the world to be able to do the things I do both combining this clinical
02:50:00.020 work, which is just a gift with this lab work, which is basically like a game. It's like a glorified
02:50:05.560 living, breathing video game that we get to try and solve puzzles every day. And I get paid to do it.
02:50:10.260 But this thing has been fun to do and it happens at a different pace. As you said,
02:50:14.740 it's like a normal cycle for me in the lab is like five years. This thing happened in three months.
02:50:19.240 And so it's fun to kind of exercise different muscles and think about business for the first
02:50:24.360 time in my life. I mean, I haven't really thought about business before and it's fun. I actually enjoy
02:50:28.060 it. I think about, I love thinking about the human psychology and, and the behavior. So it's been
02:50:32.420 kind of a fun adventure. We'll see how it goes.
02:50:33.980 Awesome. And you've got one for me to take back to one of my, I'm seeing one of my patients next week who
02:50:38.160 I was with the other day and I was talking about it with him. Like I had already given him one and
02:50:43.300 he's like, well, what are you talking about? And I was like, well, I'm going to see Ethan. So I'll
02:50:46.760 get you one. You're someone that I follow on Twitter. Cause I always enjoy, I mean, you know,
02:50:50.680 for me, Twitter is just a great way to curate reading and stuff. And I love following your stuff.
02:50:56.080 So where can people find you?
02:50:57.700 That's probably my biggest place that I spend time social media wise. And my Twitter handles
02:51:02.580 at Ethan J wise, I have to say, I probably had a significant problem and my wife would
02:51:07.500 say that I had a more than significant problem with the amount of time I spent over on there.
02:51:10.960 I'm not there as much anymore just cause I can't keep up that and my job and my family and this
02:51:16.980 startup thing. So, but I do try to respond, you know, somebody sends me a message. I'll try to
02:51:21.340 respond. Even if once a week, there's a great study that you're highlighting. I find that super helpful.
02:51:26.200 Yeah. It's fun. Look at Twitter. I actually went down there and visited a friend of mine as the CFO at
02:51:30.880 the company, Ned Siegel. And he invited me to come. He said, you're so active, like you're a power user
02:51:34.600 in science and medicine. You should come visit. And it was really sweet. He brought, he invited
02:51:37.860 me to come down and we toured through the facility. I'd never been there before, but I think they have
02:51:40.960 something going there that talk about increasing scientific literacy. It's, it's, and I know I've
02:51:46.080 my own patients who follow me and they tell me they learn a lot. They learn a lot about medicine
02:51:50.480 and science. They learn a lot from you. And you don't have to be a stranger to, unless you've been
02:51:54.120 in the Himalayas hunting Yeti for the past five years, you certainly realize that right now Twitter
02:51:58.100 is under attack. And I feel bad every time Jack Dorsey has to go on a podcast, it's just basically to get
02:52:03.380 skewered. I understand why people are upset about the role of Twitter and politics and fake news and
02:52:07.600 stuff. And I think that's a super upsetting problem. Fortunately, in the world that we play
02:52:12.440 in Twitter, I still find it more positive than negative. In the end, I've got a bunch of people
02:52:18.240 I follow who basically curate some of the research I just wouldn't be able to keep up with. Cause I'm,
02:52:23.140 you know, I'm really narrow in what I do, but I need to know what's going on in these fields that
02:52:28.140 are adjacent. And that's a great way to do it. So Ethan, I can't thank you enough. This has been
02:52:32.080 awesome. And I suspect this won't be the last time we have to sit down and have a formal discussion.
02:52:37.640 And we'll obviously have many more informal ones. Awesome, Peter. Thank you so much for coming up.
02:52:43.920 You can find all of this information and more at peteratiamd.com forward slash podcast.
02:52:49.160 There you'll find the show notes, readings, and links related to this episode. You can also find my blog
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