New risk algorithm to identify high-risk patients with existing vascular disease

A new risk model developed by European researchers is able to accurately predict vascular events, including stroke, MI, and vascular death, in patients with existing clinical vascular disease. Serum creatinine, age, previous vascular disease, smoking, and diabetes are important predictors for second events, and this new model performed better than the Framingham and SCORE risk algorithms for estimating the absolute risk for recurrent events.