Epidemiology Research Today is a free monthly online journal that collates and summarizes the latest research about Epidemiology, including details on twin studies, statistics, environmental and genetic factors.

Epidemiology of stroke after cardiac surgery in the current era.

Anyanwu AC, Filsoufi F, Salzberg SP, Bronster DJ, Adams DH

Department of Cardiothoracic Surgery, Mount Sinai Medical Center, New York, NY, USA.

OBJECTIVE: Previous studies of the epidemiology of stroke in patients undergoing cardiac surgery have been based primarily on patients having coronary bypass surgery and therefore have limited applicability to the more heterogenous populations seen in the current era. We examine the epidemiology of stroke after cardiac surgery in a contemporary surgical population. METHODS: Retrospective analysis was conducted of a prospective database of 5085 adults (coronary bypass 2401, isolated valve 1003, valve/coronary bypass 546, thoracic aorta 517, transplant/assist device 179, adult congenital 124, other 315) who had cardiac surgery at a single institution over a 6-year period (1998-2004). RESULTS: Stroke occurred in 134 (2.6%) patients. Incidence varied according to procedure (coronary bypass 1.7%, isolated valve 1.8%, valve/coronary bypass 4.4%, and ascending aorta 4.6%). Patients who had a stroke had a higher perioperative mortality rate than that of patients who did not (32.8% vs 4.9%; P < .0001) and a longer period of hospitalization (median 30 days vs 7 days; P < .0001). Multivariate logistic analysis identified 10 preoperative predictors of stroke: gender, age, aortic surgery, previous stroke, critical preoperative state, poor ventricular function, diabetes, peripheral vascular disease, unstable angina, and pulmonary hypertension. A logistic model was developed on the basis of these risk factors to predict the likelihood of stroke. CONCLUSIONS: We have demonstrated a relatively low incidence of stroke in a diverse contemporary cardiac surgical cohort. By enabling preoperative identification of patients at risk, our logistic model has the potential to improve preoperative patient counseling and selection and could help to define high-risk cohorts for research into stroke prevention.

Published 2 November 2007 in J Thorac Cardiovasc Surg, 134(5): 1121-7.
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