This project was inspired by a personal experience I had--I put my numbers into a spreadsheet provided by the American Heart Association and found I had a 50% lifetime risk of a heart attack. Yikes!
I've gone to regular check-ups all my life and always been a little outside of the cholesterol guidelines, but I never knew how seriously to take that. I didn't know you could translate those numbers into percentage chance of getting a heart attack, whether I was "high" or "low," or how much I could improve by making lifestyle changes.
I figured there must be other people out there who are similarly ignorant about their own health, so I built this. (Please don't take this as a substitute for going to the doctor; there are all sorts of things your doctor can tell you that a web page can't. This is just for education!)
Please let me know if you have questions!
Does 50% mean I'll get a heart attack in my 40s, or mean I'll get one in my 80s instead of getting cancer, etc.
What I'm getting at is that if nothing else kills you, eventually your heart will fail. Shouldn't it be possible to decrease my heart attack risk by increasing my cancer risk?
What about electronic cigarettes?
In any case I'm glad that I'm at relatively low risk despite being overweight (but a little less each day). I guess that low blood pressure and zero smoking are that good.
My caffeine intake is also zero (Ok, I think that cocoa powder has some, so not literal zero). I wonder if that has any effect on my risk, maybe something indirect through blood pressure.
For height/weight, I'd assume meters and kg?
When you get your cholesterol measurements, do use mg/dL, mmol/L, or something else? What about blood pressure?
Total cholesterol: probably doesn't matter much
HDL: matters
Blood Pressure: I don't know
Smoking: matters
The models tend to be close to equivalent in their inputs: either total or LDL cholesterol (small-particle LDL is the one that drives atherosclerosis, but if the model includes HDL cholesterol, then it doesn't make a big difference in accuracy whether the other variable is total or LDL cholesterol), HDL cholesterol (seems to cause a protective effect, although randomized trials of HDL-boosting drugs haven't shown improvements, so may not be causal), blood pressure, and smoking. People also sometimes include newer biomarkers like triglycerides or hs-CRP, but they don't consistently show accuracy gains (LDL, triglycerides, and hs-CRP are highly correlated, so each one individually is a good predictor but having all three doesn't necessarily give you a more accurate model).
There's still a lot of active research to find out which of these variables are causal and which are merely associated with heart disease. For example, LDL-lowering drugs like statins do reduce the risk of heart attacks in randomized trials.
There are cases where BP matters less as well. For example the cochrane review on sodium consumption indicated that while lowering sodium intake aggressively did successfully lower BP, it resulted in worse mortality.
My advice get genetically screened if you are worried and make changes. If you carry alterations on the 9p21 chromosome chances are you are at higher risk. If so you can simply eat more fruit and vegetables this has been shown in multiple studies to dramatically lower rates independent of other factors.
The graph animation was slow in my Firefox 33.
I'm using Firefox 33 and Chrome 38-ish for Mac.
"I had a 50% lifetime risk of a heart attack. Yikes!"
not for nothing, but I entered in my numbers and got 68% and I smoke about a pack of day. If that's the case, then I'm not quitting any time soon.
That's suboptimal when discussing something where the science is moving.
http://www.health2con.com/devchallenge/one-in-a-million-hear...
Are you using the Archimedes Indigo back end? https://archimedesmodel.com/indigo-api
"Your lifetime risk of heart disease is 56% as of today. You can reduce that to 38% if you ... That would make your risk about 34% lower. Not too shabby!"
But the graph shows 26%