The Peter Attia Drive - May 18, 2020


#111 - AMA #14: What lab tests can (and cannot) inform us about our overall objective of longevity


Episode Stats

Length

16 minutes

Words per Minute

174.45662

Word Count

2,935

Sentence Count

147

Hate Speech Sentences

2


Summary

In this episode, Dr. Peter Atiyah discusses the role of lab tests in our understanding of aging, cardiovascular disease, and other topics related to aging. In addition, he discusses the benefits and drawbacks of various lab tests and how they can and can't help us understand aging.


Transcript

00:00:00.000 Hey everyone, welcome to a sneak peek, ask me anything or AMA episode of the drive podcast.
00:00:16.500 I'm your host, Peter Atiyah. At the end of this short episode, I'll explain how you can
00:00:20.460 access the AMA episodes in full, along with a ton of other membership benefits we've created,
00:00:25.440 or you can learn more now by going to peteratiyahmd.com forward slash subscribe.
00:00:31.140 So without further delay, here's today's sneak peek of the ask me anything episode.
00:00:39.140 Hey everyone, welcome to another ask me anything or AMA episode. This is number 14. One of our
00:00:45.120 previous AMAs, I mentioned how I like to think about lab ranges and I might look at them in a
00:00:49.880 way that's not necessarily congruent with the way the labs themselves talk about them. And I talked
00:00:54.940 about doing potentially an episode about looking at labs and such. So this is that episode. So
00:00:59.800 this is a pretty big topic and we actually didn't cover as much as I thought we would before we ran
00:01:04.460 out of time on this episode. So in this episode, I talk very broadly, but I think comprehensively
00:01:09.760 and in a manner that's helpful to think about labs about my framework for what labs can inform and what
00:01:18.260 they can't inform. And again, even though that took longer than I thought it would take, I don't think
00:01:22.600 it makes sense to get into this discussion without starting with a foundation. And so I think you'll
00:01:27.740 find that interesting and hopefully it's the type of thing you don't have to go back and revisit over
00:01:31.580 and over again, but sitting through it once is a really good way to say, okay, if I'm going to go
00:01:35.860 to the trouble of doing advanced testing, what am I learning? And just as importantly, what am I not
00:01:40.280 learning? We then go into a couple of cases around cardiovascular disease. And that's pretty much where we run
00:01:49.280 out of time on this episode. It goes by really quick. And what we're going to do is come back
00:01:54.020 and just pick it up on the same thread going into other sorts of cases. So at the end of this episode,
00:02:01.500 I talk about what we're going to come back and visit. And of course, if based on this episode,
00:02:06.580 you have specific types of lab questions or scenarios, maybe as a more important way to think
00:02:11.540 about it that you want to dive into, please let us know. And we can obviously add that to subsequent
00:02:16.020 episodes. So before I start, I have to obviously give the obligatory disclaimer, which is that this
00:02:20.380 podcast is for general informational purposes only. It does not constitute the practice of medicine,
00:02:25.380 including the giving of medical advice. The use of this information and the materials linked to it
00:02:31.020 in the podcast are at the user's own risk. The content of this podcast is not intended to be a
00:02:36.020 substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in
00:02:41.960 obtaining medical advice for any medical condition they have. So with that said, and without further
00:02:47.220 delay, I hope you enjoy AMA number 14. Hello, podcasters. Welcome to another Ask Me Anything
00:02:58.320 with Peter Atiyah. This is your host, Bob Kaplan, asking your burning questions. This time around,
00:03:05.600 we've compiled the many questions you have on the topic of lab tests. I know Peter has answered a few
00:03:10.840 questions here and there, and actually on our first AMA, he discussed some of the best lab tests for
00:03:15.940 assessing overall longevity. We can possibly revisit some of those, but either way, we'll be sure to
00:03:21.340 include that information in the show notes. Peter has also left a lot of breadcrumbs in podcasts and
00:03:27.080 interviews where he'll discuss ranges and cutoffs he likes to see on a given test. And those values
00:03:32.840 might not always reflect the ones you might see on the report that you get back from a lab.
00:03:36.700 So I've actually gathered a bunch of those ranges. So one thing we can do is throw those into the
00:03:41.720 show notes of the episodes. They're all in one place. If you put those two topics together,
00:03:46.260 many people essentially want to know, what are the tests that I should be getting?
00:03:50.180 And what do the specific results of those tests tell me? A number of the questions we've received
00:03:55.120 really feed into the broader question of, how does Peter think about labs, both as a patient himself
00:04:00.640 and as a doctor who treats patients? What does a lab test actually tell you? What does it not tell
00:04:05.500 you? Where can you be fooled? How often should I get a particular test? How can one lab test inform
00:04:11.480 another lab test? What's the difference between normal and optimal? What tests are most useful?
00:04:17.140 What tests are useless? Why are we doing these tests in the first place? So those are all listener
00:04:22.700 questions. And so instead of just taking these questions in isolation, one by one, we thought it would
00:04:28.500 make for a much more useful podcast for Peter to actually walk us through his shtick on labs that
00:04:33.660 he gives to patients. And secondly, for Peter to share some really interesting cases he's experienced
00:04:38.700 with patients that can give us real world examples of how Peter thinks about labs and how it might inform
00:04:44.560 his decision making. So I guess, Peter, the first question goes to you, which is, if I'm a patient of
00:04:50.660 yours and you want to take a bunch of my bodily fluids, I guess my question is, A, why do you want to do
00:04:56.840 that? And B, what information are you trying to extract from that?
00:05:01.540 So I think every time I sit down to review labs with a patient for the first time, I usually take
00:05:08.400 a step back and try to put the labs in the context of how they fit into our overall objectives with
00:05:15.040 respect to longevity. And I do this through the lens of the way I've spoken about this before,
00:05:20.860 which is longevity has these two components, lifespan and health span by identifying the
00:05:28.020 components of each of those. And then looking at where labs have information or can shed light on
00:05:36.880 those things versus where they can't, you start to get a sense of where the labs are adding value and
00:05:43.260 of equal importance where you have blind spots. So I do think it is important to have this discussion
00:05:50.440 before we jump into the examples that we've pulled aside. So what is longevity? Again, longevity is a
00:05:59.840 function of two things. It's how long you live. And that's the part that's called lifespan and how well
00:06:05.580 you live. That's the part that's called health span. The lifespan part is easier to explain because
00:06:13.360 it's binary. A person is either alive or they are dead. The health span part, which we'll save for
00:06:18.840 second is a little harder to understand. Maybe harder to quantify is about right to say. I think
00:06:23.700 it's relatively straightforward to understand. Okay. So living longer is effectively going to boil
00:06:33.300 down to how long can you delay the onset of chronic disease? Many people have probably heard me say that
00:06:40.140 before, but I want to unpack that a little bit more. If we look at the centenarian literature,
00:06:46.620 and as you know, we have devoured that literature in the process of writing the book. In fact,
00:06:52.700 the one chapter of the book is entirely dedicated to centenarians. I think it's chapter four.
00:06:58.220 They've taught us a lot. So even though they turn out to be sort of genetic lottery winners,
00:07:03.560 people who almost through no action that they've taken are going to live to be a hundred or beyond.
00:07:10.440 And instead through some amazing luck that they've inherited a set of genes are still a very illustrative
00:07:17.300 population to study. And we learned a lot from them, but I think the single most important thing
00:07:22.760 we learned from them is they don't live longer. Once they get a disease, they just take longer to get a
00:07:29.580 disease. And that's really important. That's not obvious. If you haven't sort of dug into it,
00:07:36.520 it could easily be the case that centenarians acquire disease at the same rate and at the same
00:07:42.560 time as non-centenarians, but their superpower is living longer with the disease, being more resilient
00:07:49.040 to a disease once it sets in. But as you know, Bob, that turned out to not be the case. So when we
00:07:55.120 asked that question directly, the answer was overwhelmingly in the opposite direction.
00:08:00.440 And indeed their superpower is how long they can go before they get the first chink in their armor.
00:08:09.500 But once that disease sets in, they've basically been exposed to kryptonite and they are now just
00:08:16.260 mere mortals like the rest of us. So the way I described this in the book is they have a phase
00:08:20.560 shift. So they have a phase shift in time that delays the onset of disease. So if you want to live
00:08:29.380 longer, the mathematical equivalent function is delay the onset of chronic disease, not figure out
00:08:38.540 ways to live longer. Once you have chronic disease, it's worth noting that unfortunately the entire
00:08:44.740 healthcare system is mostly geared towards the opposite. Prevention is not really the mainstay of
00:08:53.000 medicine. Medicine has had its greatest impacts or its greatest efforts basically on what to do once
00:09:00.960 you have a disease, how do you live longer? So once you have Alzheimer's disease, what drug might
00:09:05.720 reverse the dementia or slow its progression? Of course, the sad reality of that is none. We spent billions of
00:09:16.180 dollars trying to answer that question and come up empty handed. Similarly, when we look at cancer
00:09:21.100 treatment, once you have cancer, what can you do? Well, unfortunately, we haven't made a lot of
00:09:28.040 progress in 50 years. So if you go back to 1970 and you look at what the long-term survival was of a
00:09:36.280 patient with metastatic cancer, and you compare that to today, the answer is almost the same. It's roughly
00:09:43.600 about a 5% improvement we've made in 50 years. Again, not great. And it probably speaks to the
00:09:52.940 challenge of treating a disease like cancer or Alzheimer's disease, where once you have it,
00:09:59.020 modern medicine doesn't seem to be able to do that much more today than it could 50 years ago to erase
00:10:06.860 it. So I think one place where we've seen the most progress on managing a disease once it sets in
00:10:14.240 is cardiovascular disease. And I could spend an entire AMA just discussing the differences between
00:10:22.720 cardiovascular disease and cancer and dementia. But part of it, I think, has to do with the fact
00:10:26.540 that atherosclerosis is much more of a continuum than dementia and cancer. And therefore, that coupled
00:10:33.420 with the fact that we have a far better understanding of atherosclerosis, I think, as complicated as a
00:10:39.940 disease as this is, and I don't mean to undermine people who study it for a living, it is far and away
00:10:44.920 a simpler disease process to understand than the other two major pillars of mortality. So that's a
00:10:52.220 long-winded way of saying, I hope I can convince a person that if you want to live longer, you've got to
00:10:58.280 figure out how to delay the onset of these chronic diseases. Not live longer once you have them.
00:11:04.920 I think it's a study by the group Thomas Pearls, which is, I think he's out of BU,
00:11:11.480 the New England Centenarian Study. We were looking a lot at a near-barzilize longevity genes project.
00:11:17.700 But Pearls has an interesting article where he talks about exactly what you just framed there,
00:11:22.200 where there are three groups. There's delayers, escapers, and survivors. And so you have the people,
00:11:29.060 so how many of these centenarians are delaying disease? How many are completely escaping some of these
00:11:33.900 chronic disease? And then how many are just living with it and have superpowers? And the majority of
00:11:39.700 the cases were, probably no surprise, they were the delayers. And so they were delaying disease, which
00:11:45.280 fits exactly with what you're talking about.
00:11:47.120 Yeah. And again, it's important for me to explain to patients that phenomenon. And you actually just
00:11:53.200 stated in about 31 seconds what it took me probably five minutes to explain. So I might have to start
00:11:58.420 bringing you in on these meetings. And then secondly, it's important to explain to them that this
00:12:04.080 approach, while conceptually logical, and I think once most people hear it, they're like, yeah, that
00:12:09.180 totally makes sense, is not congruent with how most people go to the doctor. And again, it's been
00:12:16.340 stated a million times before, we don't really function in a system of healthcare. We function
00:12:20.240 in a system of sick care, meaning we interact with our healthcare system in a manner that is,
00:12:26.000 once there is a problem, we seek help. And again, you know, I'm not one of these guys who likes to
00:12:30.780 rail against healthcare. And that's just not true. Look, that's just the nature of the way the system
00:12:35.800 works. The system works by identifying a disease and then label, you know, basically the more clearly you
00:12:44.580 can identify and label a condition, the more accurately you can provide a treatment for it.
00:12:50.040 And so that's the way we were educated. So medical education is predicated on this idea that
00:12:54.500 you put a label on a disease. And by the way, the entire financial system around it is predicated the
00:12:59.620 same way. You have to come up with a billing code that explains what a person has. This person has
00:13:03.880 hypertension. This person has dyslipidemia. This person has fill in the blank. So we have a code.
00:13:09.360 The code allows us to bill an insurance company for it. We peg treatments to these things and
00:13:14.840 that's the way we go. So everything that we learned in our medical training was based on this.
00:13:20.600 And it's not surprising then that when patients go to their doctors and say, Hey, I'm perfectly healthy,
00:13:26.300 but whatever, 40 years old, but I really want to do everything I can to live to be a hundred.
00:13:31.820 Most doctors would look at you like you had three heads. They can offer you sort of glib insight,
00:13:36.900 like don't smoke and quote unquote, eat well and exercise in those things. But how would we go
00:13:42.080 further? We have to sort of change the way we think about risk, which we'll come to in a second.
00:13:48.120 Can I ask one question? This is a, maybe a silly question or an uninformed question on those codes.
00:13:53.060 Are there codes for say pre-diabetes or pre-hypertension or on the road to metabolic
00:13:58.880 syndrome or even metabolic syndrome where you're essentially saying like, we need to do something so
00:14:03.220 this person doesn't develop one of those diseases or chronic conditions.
00:14:08.040 There's not a silly question and definitely things are changing.
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