#415 ‒ AMA #91: Understanding lab testing: what blood work can and cannot tell you about your health and disease risk
17m 1s
Lab testing is frequently mistaken as a complete health assessment, but in reality, it provides only a limited view—around 25% of the information needed to determine true health. People often seek labs to answer whether they are "healthy," yet this question is complex and requires a broader understanding of physical function, cognitive ability, emotional well-being, and longevity risks. While labs are useful for monitoring specific chronic conditions like cardiovascular disease, metabolic dysfunction, cancer, and neurodegeneration, they miss critical aspects of health, such as long-term inflammation trends, organ-specific function, and emotional resilience. A single blood test lacks context and reliability without longitudinal data, making it difficult to distinguish between temporary spikes and chronic issues. Direct-to-consumer panels and biological age scores often look impressive but offer little clinical value. The most meaningful health evaluation centers on physical function, cognitive performance, and emotional health—none of which are fully captured in a blood draw. To use labs effectively, individuals should ask critical questions about context, trends, and clinical relevance. Ultimately, health is not measured by lab numbers alone, but by how well one functions across all domains of life. For deeper insight, access to full AMA episodes and member-only content is recommended through the Drive podcast subscription.
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So without further delay, here's today's sneak peek of the ask me anything episode.
Welcome to ask me anything AMA episode 91. Today, we're going to talk about lab testing. Labs are
often the first thing people reach for when they want an answer to probably the most important
question imaginable, which is, am I healthy?
They're objective, numerical, and come with reference ranges. So it's easy to treat them
as a report card on your entire health status. But that instinct kind of oversells what labs
can actually do. Their real utility is actually a lot more nuanced than that. So today we're
going to walk through where lab testing is genuinely helpful, where it's useful but incomplete,
and where it tells us very little or frankly, nothing. And it gives you a framework for
noticing the difference.
So we're going to cover the first thing we're going to talk about, and then we're going
to cover why people turn to labs to answer the am I healthy question, and what that question
really means in the context of longevity, how to use blood work for each of the major chronic
disease states, cardiovascular disease, metabolic dysfunction, cancer, and neurodegeneration,
and what labs are missing in each case, what labs can and can't reveal about the organ systems in
our body, and why more tests doesn't necessarily mean more useful information, why large direct-to-consumer
panels and biological age scores can look sophisticated without necessarily changing
a single clinical decision, how the picture changes when we shift from lifespan to healthspan,
and why physical function, cognitive function, and emotional health mostly can't be captured
in a blood draw. And we'll provide you with a practical set of questions to ask about
any lab test, so you'll know what it's actually telling you, and perhaps more importantly,
what it isn't. If you're a subscriber and you want to watch the full video of this podcast,
you can find it on the show notes page, and if you're not a subscriber, you can watch the sneak
peek of this video on our YouTube page. So without further delay, I hope you enjoy AMA number 91.
Peter, welcome to another AMA. How are you doing?
Very well, thanks.
Awesome. So today's AMA, we're going to focus on lab testing, and if you compile all the questions
people send us, the vast majority of them will touch this topic at some level,
meaning someone says, hey, I just got blood work done, and the result of X was Y. What should I do?
So I think it's not only a topic that is interesting that a lot of people care about,
but it also seems like this is where people really focus on, you know, a report card of
their health in a way. And so I think what would be helpful is when we start is for you,
when you work with patients, you're obviously reviewing labs with them often, and when you do
it for the first time, you know, what do you hear from them? What do you hear that patients,
typically, are hoping that these labs will tell them when you're going through that review?
Well, I mean, I think people rarely say explicitly, hey, I just want to know if I'm healthy or not. I
mean, I think more broadly, there's a belief, and over the years, in anticipation of that,
I've sort of preemptively addressed this on every first lab call. But the belief is that, hey,
by the time we're done this exercise today, I'm going to know everything I need to know about my
health.
And obviously, you know, a subset of that, or at least subservient to that question,
is I will know if I'm healthy, right? And again, it's a very understandable
assumption to come in to a lab assessment with, because for the most part, when you've interacted
with the healthcare system, the only routine maintenance things that tend to get done are
lab testing. Now, of course, there's more than that, but we tend to think of imaging in a separate
category.
Obviously, a woman who gets her mammogram every year would also consider that a part of her routine
health maintenance. But for most people, when we interact with our doctors, we're doing so around
lab tests. And again, they're objective, they're numerical, they have these reference ranges. I
mean, all of these things about them make them feel like they should be complete. And I think
there's another thing, which is that if you don't fall outside of a reference range, and therefore
nothing is going to happen, you're not going to be able to do anything. And so I think that's a
getting flagged, I think people sort of assume, hey, all systems are go. You know, the check
engine light isn't coming on, so everything is okay. And I would say that that view has probably
been amplified over the past few years because there is really no shortage of direct-to-consumer
testing products out there. And that's kind of, I think, doubled down on that belief system,
which is, hey, this is the thing you need to know. And if you buy our D2C product that will
check your labs and, frankly, even test lots of labs, we're going to have the solution to every
problem. And so I usually just start by explaining where I think the labs are valuable,
but also where their blind spots are. And I think that's an important discussion to have,
so that at the end of the lab discussion, I usually end up saying something to the effect of,
look, we will know roughly a third of what we care to know about you. Maybe a bit,
maybe 25%. And that's a very important 25%, but we have a lot of work to do to really kind of get
under the hood of truly understanding risk across everything that we care about.
And that's something we're going to dive into much more detail here today as AMA. But I think
what may be helpful is kind of stepping back, you ask the question, you know, are you healthy,
right? And that's ultimately what people care about and want to know. And so when you're trying
to understand the answer to that question for your patients, you know,
how do you go about that? What are you, what are you looking at? And what are you truly trying
to understand around that core question of, am I healthy? I mean, look, I think you have to start
with defining what that means. And I think there are different ways to define that. If you're
talking to a patient who has just finished chemotherapy for cancer, then the definition
really probably should center around that, right? It should be,
am I NED? NED means no evidence of disease. So has the chemotherapy worked? Is the cancer for all
intents and purposes gone? Are my blood counts back to normal? Because chemotherapy often
wreaks havoc on the hematopoietic system. And that frankly might be all you care about, right? Am I
not anemic? Have my white cells come back? And am I free of cancer? And that would constitute the
definition of, am I healthy at the moment? And so in our context, in our practice, which I actually
think reflects what many people are hoping to achieve when they, when they think through this
question, we are really trying to think about it through the lens of what are the threats to
longevity. And again, longevity has this very, at least in our view, pretty clear definition.
That's, that's pretty straightforward, right? Which is it's the, it's the product of both
lifespan and healthspan. And therefore, if you're, if you're in pursuit of better longevity,
what that's saying is I want to live longer. And I want to live longer. Or I want to live as long as possible in as high a state of health as possible. And, and not having
one of those things is insufficient. So living a long time in poor health, that's, that's not
optimal. And having a short life in high health is also not optimal. So we, we want both of those
things and we frame it through the lens of what are the impediments to those things. And it's
really, really important to think about the impediments, the things that will shorten your
life. So the, that is cardiovascular disease, cancer, neurodegenerative and dementing diseases,
metabolic disease, accidental deaths. Those are really the big ones. Now, of course, there are
also organ specific diseases and things like that, that can fit in there. And we would always address
those when relevant. So, you know, a person can also die from chronic obstructive pulmonary
disease. If they have a longstanding history of smoking, kidney disease, liver disease,
that is unrelated to metabolic disease, et cetera. So, so there are other things in there,
but you're capturing most of it through what we just described. And then on the health span side
of things, we're really talking about physical health. And so that's, you know, freedom from
pain, strength, endurance, excellent mobility, basically the ability to do anything you want
physically. And different people will have a different threshold, of course. So some people
will have very high aspirations. And some people will have very high aspirations. And some people
will have very modest aspirations. And others will have modest aspirations. And therefore,
they'll have a different standard for what constitutes healthy. Then there's a cognitive
component to that, which is the ability to, to engage with your, with your brain, right? So this
is everything from processing speed and short-term memory and long-term memory, executive function,
all of those things. And then there's an emotional component, which is again, made up of many things,
but it includes sense of purpose, happiness, strength of relationships, emotional resilience,
high distressed,
tolerance, all of those things. And as we go through this exercise, we feel that health
constitutes everything I just talked about. And
And then we talk about how does the lab result help those things? Is it informing those things?
And if so, great. And if not, then do we have another way that we can look at those things?
And so before we kind of dive into labs as it relates to each of those kind of major diseases
and categories you laid out, I think from a high level, how do you think about like a single
snapshot of someone's lab? So if you're meeting with a patient for the first time and you have
their labs from the week prior, right? How informative is that compared to if you have
the labs from a week prior, as well as like a longer history of all the random times that they
went to the doctor? Well, I think there are a couple of things embedded within that. The first
is reliability of a lab. So if you only have a snapshot, if I only saw your labs, Nick,
from today or last week, and I had no access to anything else,
it would be really difficult to make a decision, even in the context of something that was
abnormal, because I truly don't know if it is abnormal or if it's just actually a laboratory
error. So you always have to have that in the back of your mind. And that's much easier to evaluate
when you have longitudinal data. Furthermore, even if I know that it is a barrier, pardon me,
not a barrier, but it is a barrier, I don't know if it's a barrier. I don't know if it's a barrier.
If I know that, hey, that result is actually what it says it is, I don't necessarily know how long
it's been abnormal. And in some cases that might matter. So I'll give you an example. If I see that
your C-reactive protein is three, and if this is a highly sensitive C-reactive protein, that would
be quite elevated. And then let's assume I just immediately repeated the test and lo and behold,
it was three, not a lab error. Okay. But is it just three this week? I mean, maybe you're sick.
Maybe you were vaccinated two weeks ago, and this is still some lingering level and it's coming back
down, but it was 42 weeks ago. But your baseline is 0.5. I can't figure out if this is sort of
chronic inflammation or if it's reactive, if it's going up, if it's going down. So it would be
difficult for me to sort of weigh in and say that we're going to implement this playbook that we
typically implement for people that have high inflammation. The same, I think, would be true for
something like ApoB or LDL cholesterol. So if your LDL cholesterol is, let's say it's 160 milligrams
per deciliter, that's, that's, that's very, very high, right? That would put you above the 80th
percentile. If that's just that high, because you've gone on a diet in the past, you know,
three months that has you mainlining saturated fat and your ApoB and LDL-C have gone up, you know,
that's kind of a different situation than if it's been that high your whole life, which might
have a genetic condition that's driving that. So I think longitudinal data are valuable,
but you also have to work with what you have. There are some people who come in with
very little longitudinal data and you, you know, you still have to make decisions based on the
information you have. Obviously there are certain things that you don't need to check more than
once, LP little a, ApoE or any other genetic test, assuming that the answer you got is correct and
the lab was, was done. So I don't know, hopefully that answers your question that, that it's a bit
of both.
No, for sure. And I think it will be helpful now to kind of go through the major chronic
diseases one by one that you laid out earlier and just talk about, okay, where are labs helpful and
where do they kind of leave a picture still unpainted? So let's start with the biggest
killer cardiovascular disease. So what do labs tell us and how helpful are they in understanding
someone's risk of this disease? Thank you for listening to today's sneak peek AMA episode of
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Podcast Summary
Key Points:
Lab tests are often misinterpreted as a comprehensive report card of health, when in reality they only reveal about a third to 25% of what is needed to assess true health.
People typically assume labs answer the fundamental question of whether they are "healthy," but this belief overlooks the complexity of health, which includes physical, cognitive, and emotional dimensions.
Labs are most useful in diagnosing and monitoring specific chronic diseases like cardiovascular disease, metabolic dysfunction, cancer, and neurodegeneration—but they are incomplete in capturing overall risk.
Longitudinal lab data is far more valuable than a single snapshot, as it helps distinguish between acute fluctuations and chronic conditions, improving diagnostic accuracy.
Direct-to-consumer panels and "biological age" scores can appear sophisticated but often fail to change clinical decisions or provide actionable insights.
True healthspan depends on physical function, cognitive performance, and emotional well-being—areas that cannot be reliably assessed through blood work alone.
A holistic view of health must prioritize understanding threats to longevity, such as cardiovascular disease, cancer, and neurodegeneration, rather than relying solely on lab numbers.
Practical questions about lab results—like their context, trends over time, and clinical relevance—are essential to avoid misinterpretation and ensure meaningful health decisions.
Summary:
Lab testing is frequently mistaken as a complete health assessment, but in reality, it provides only a limited view—around 25% of the information needed to determine true health. People often seek labs to answer whether they are "healthy," yet this question is complex and requires a broader understanding of physical function, cognitive ability, emotional well-being, and longevity risks. While labs are useful for monitoring specific chronic conditions like cardiovascular disease, metabolic dysfunction, cancer, and neurodegeneration, they miss critical aspects of health, such as long-term inflammation trends, organ-specific function, and emotional resilience.
A single blood test lacks context and reliability without longitudinal data, making it difficult to distinguish between temporary spikes and chronic issues. Direct-to-consumer panels and biological age scores often look impressive but offer little clinical value. The most meaningful health evaluation centers on physical function, cognitive performance, and emotional health—none of which are fully captured in a blood draw.
To use labs effectively, individuals should ask critical questions about context, trends, and clinical relevance. Ultimately, health is not measured by lab numbers alone, but by how well one functions across all domains of life. For deeper insight, access to full AMA episodes and member-only content is recommended through the Drive podcast subscription.
FAQs
Labs provide objective numerical data that can indicate certain health risks, but they only reveal a fraction—roughly 25%—of what we need to know about overall health. They are most useful for detecting specific disease markers but miss broader aspects like physical function, emotions, and cognitive health.
People often assume labs offer a comprehensive health report because they are numerical, have reference ranges, and are routine in healthcare. This belief is reinforced by direct-to-consumer testing products that present lab results as a complete health assessment.
Labs like LDL cholesterol and C-reactive protein can indicate inflammation and lipid levels, which are relevant to cardiovascular risk. However, they don't capture the full picture, such as arterial plaque development or blood pressure, which require other assessments.
Labs can show glucose or insulin levels, but they don't reveal early metabolic changes like insulin resistance or mitochondrial function. These aspects are critical for understanding metabolic health and are often missed by standard blood tests.
Labs can detect some biomarkers like amyloid or tau in blood, but current levels are not reliable or widely available. Most neurodegenerative diseases are not well captured by routine blood tests and require advanced imaging or cognitive assessments.
A single lab result may be a lab error or a temporary fluctuation. Longitudinal data help determine if a result is chronic or reactive, enabling better understanding of underlying health trends and more accurate clinical decisions.
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