Such a model now exists, thanks to a new Northwestern Medicine study, which derived and validated the first set of risk prediction models for lifetime risk of heart failure.
The ability to identify who is at greatest risk for heart failure — especially among high-risk young adult populations — will allow physicians to start prevention measures sooner.
“Once someone develops symptoms of heart failure, the window for prevention has closed, which is a missed opportunity, given that the risk of dying in the five years after diagnosis is 50%, similar to a cancer diagnosis,” said corresponding study author Dr. Sadiya Khan, assistant professor of cardiology and epidemiology at Northwestern University Feinberg School of Medicine and a Northwestern Medicine physician.
Prior to this work, no models existed for estimating long-term risk for heart failure. Short-term models exist that estimate heart-failure risk in the next five to 10 years, But those aren’t as effective for young adults who may not develop heart failure until they are older.
Now, for the first time, the model will allow doctors to estimate a person’s risk of developing heart failure in the next 30 years based on their current risk factor levels, such as body mass index, blood pressure, cholesterol, diabetes and smoking status. The scientists are currently working on an online tool that could be used by physicians.