Model Predicts Cardiovascular Risk Among People With Chronic Kidney Disease

A new model can detect the risk of cardiovascular disease and a future cardiac event among people with chronic kidney disease (CKD) more accurately than the current method that measures blood levels of creatinine. The new model is based on the levels of 32 proteins in the blood; these proteins were selected using machine learning methods from a total of more than 4,600 proteins. For an individual with CKD, the selected proteins are a biomarker that indicate the individual’s risk of heart attack, heart failure, stroke, or cardiovascular death.

The model was tested with blood samples contributed by . . .