Cardiovascular risk assessment in the metabolic syndrome: results from the Prospective Cardiovascular Munster (PROCAM) Study

Abstract

Objectives: We aimed (1) to construct a modified PROCAM risk algorithm, which incorporates BMI/waist circumference in a model for predicting coronary events; (2) to evaluate how accurate this and the previously established PROCAM risk algorithm predict coronary risk in individuals with metabolic syndrome.

Design: Prospective Cardiovascular Münster (PROCAM) Study, a prospective study of men and women at work in the northwest of Germany.

Subjects: A total of 7134 men aged 35-65 years at study entry.

Measurements: On the basis of 404 major coronary events (defined as nonfatal MI and coronary deaths), which occurred within 10 years of follow-up, a modified PROCAM risk algorithm was constructed by incorporating BMI/waist circumference as fixed variable in a Cox proportional hazards model for predicting coronary events. The metabolic syndrome was defined according to the latest recommendations proposed by the NCEP-ATP III Panel.

Results: Men who were classified as having the metabolic syndrome (n=2325, prevalence: 32.6%) were 2.59-fold more likely to experience a major coronary event within 10 years of follow-up than men not having the metabolic syndrome. In men with metabolic syndrome, the observed major coronary event rate of 9.6% corresponded well with their estimated global risk according to the modified BMI-based PROCAM risk algorithm (10.2%). Comparative calculations performed with the previously published fully adjusted PROCAM algorithm yielded very similar results.

Conclusion: Both PROCAM algorithms provide very accurate means to ascertain coronary risk in male patients with metabolic syndrome.