1/9
Cardiovascular disease is one of the most prevalent diseases in the developed world.

One of the scariest things about #heartdisease is that it is often a silent killer, with few to no outward symptoms.
2/9
As one of my medical school professors liked to point out, the most common "presentation" of the disease is a sudden, fatal heart attack. You know the patient has heart disease because he has just died from it.
3/9
And while mortality rates from those first, surprise heart attacks have dropped significantly thanks to improvements in basic cardiac life support and time-sensitive interventions, such attacks are still fatal roughly 1/3 of the time.
4/9
As #cardiovasculardisease is such a critical topic, I thought it would be helpful to share some past content which might add context for this week’s episode of The Drive with Allan Sniderman and may serve as helpful resources if you want to dive deeper into this topic...
5/9
Early Risk Assessment Markers to Delay Cardiovascular Disease (March 14, 2021) bit.ly/2ZPPHaQ
6/9
Measuring Cardiovascular Disease Risk and the Importance of apoB (December 22, 2019) bit.ly/3pfT97g
7/9
James O’Keefe, M.D.: Preventing Cardiovascular Disease and the Risk of Too Much Exercise (October 26, 2020) bit.ly/31rqynn
8/9
Ron Krauss, M.D.: A Deep Dive Into Heart Disease bit.ly/3dg1TEV
9/9
Click the link for more content related to cardiovascular disease prevention. bit.ly/3xQJqYT

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More from @PeterAttiaMD

28 Nov
1/11
Does Exercise Affect Lifespan?
This week’s newsletter highlights how knowing the answer in advance can undermine science. bit.ly/3HZhS8u
2/
Regular physical activity is one of the most important things people can do to improve their health. Exercise is associated with the reduction in risk of many adverse conditions, including: metabolic dysregulation, cardiovascular disease, cancer, neurodegeneration, and more.
3/
But is exercise a marker or a maker of improved health? Are all types of exercise created equal when it comes to longevity? Until recently, these questions had not been addressed in a randomized controlled trial (RCT). Enter the Generation 100 study.
bmj.com/content/371/bm…
Read 11 tweets
10 Apr 20
In the following thread I touch on the recent discussion on Covid19 hypoxia/hemoglobinopathy theory, its implications, problems with the proposal, how to test it, and alternative explanatory theories. (1/9)
A recent computational biology preprint publication proposed that non-structural proteins coded for by COVID-19 could bind to hemoglobin and “knock-out” iron atoms, disrupting the ability of red blood cells to carry oxygen. (2/9)
If correct, infected patients would not be able to deliver adequate oxygen to their organs even if able to breathe freely. In this paradigm, hypoxia precedes ARDS instead of the other way around. (3/9)
Read 9 tweets
19 Jun 19
(1/8) Up before the enemy! @jockowillink is rubbing off on me... I’m normally up at 5:00 or 5:30, but don’t work out until 7 or so. Today I’m getting up at 3:30 and working out at 4:00 as part of my long-haul jetlag plan.
(2/8) I’m flying east today 9 hours (PST to EST; layover, then EST to GMT+2 = total of 9 hours). This kind of trip used to cripple me when I didn’t know how to manage jet lag. Now I can do it effortlessly.
(3/8) OBJECTIVE: adjust to new time zone as quickly as possible (i.e., day of travel)
STRATEGY: the moment I wake up, assume I’m in destination time zone and manage my adenosine, cortisol, and melatonin accordingly
Read 8 tweets
12 Jun 19
(1/8) I often get lots of questions about wearables. Most of the questions are about a specific device and whether I use it or think it has any value. That obviously depends on what you want to get out of the information the wearable provides you with.
(2/8) In general, I find the vast majority of wearables of little use to me. Why is this the case? Because they don’t fit my framework for what I think a wearable needs to address. My framework for what must be true of a “good” wearable (Attia Postulates):
(3/8) 1. What you’re measuring matters (e.g., HRV—matters vs. # steps taken—not so much). 2. What you’re measuring differs from day to day in ways that are not intuitive or linear (see above).
Read 8 tweets

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