The Dutch study looked at several hundred people with no history of cardiovascular disease aged 85 over a five year period to see which of them died of cardiovascular disease (such as stroke and heart disease), and whether different ways of assessing their risk of such disease at the start proved to be more accurate.
During the follow-up period, 108 of the 302 participants died and 32 percent of the deaths were from cardiovascular disease.
The Framingham Risk Score system has been used for decades to predict the 10-year risk of developing coronary heart disease in people with no history of such disease. It uses classic risk factors including sex, systolic blood pressure, cholesterol, diabetes, and smoking.
The ability of these classic risk factors to identify a person at high risk of heart disease diminishes as the person gets older. In recent times, several new biomarkers for cardiovascular disease have been shown to be effective at indicating high risk of such disease, including C-reactive protein and homocysteine.
But the researchers found that classic risk factors were unable to predict cardiovascular deaths accurately, neither by using the Framingham Risk Score nor by using the classic risk factors in a newly calibrated model.
