1min snip

The Peter Attia Drive cover image

#229 ‒ Understanding cardiovascular disease risk, cholesterol, and apoB

The Peter Attia Drive

NOTE

Challenges in Predicting Singular Events and the Use of Causal Benefit Model

Predicting singular events, such as the likelihood of having an infarct, presents challenges because it's either going to happen or not, rather than having a measurable probability. Different algorithms may provide varying risk percentages, but the actual outcome could still go either way. Additionally, advising treatment based on a risk threshold may not be a strong incentive for individuals to understand their actual likelihood of experiencing the event. To address this, a causal benefit model has been developed to measure non-HAL or APOB and project the risk over a longer period, such as 20 or 30 years. By providing individuals with a more relevant risk percentage, such as a 30% chance of a stroke before the age of 65, it gives them a meaningful and actionable number to consider.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode