Impact of South Asian Ethnicity on Long‐Term Outcomes After Coronary Artery Bypass Grafting Surgery: A Large Population‐Based Propensity Matched Study

Abstract

Background Ethnicity is an important predictor of coronary artery bypass graft surgery (CABG) outcomes. South Asians (SA), one of the largest ethnic groups with a high burden of cardiovascular disease, are hypothesized to have inferior outcomes after CABG compared to other ethnic groups. Given the paucity and controversy of literature in this area, the objective of this study was to examine the impact of SA versus the general population (GP) on long‐term outcomes following CABG. Method and Results Using administrative databases and a surname algorithm, 83 850 patients (SA: 2653, GP: 81 197) who underwent isolated CABG in Ontario, Canada from 1996 to 2007 were identified; mean follow‐up was 9.1±3.9 years. SA were younger (SA: 61.7±9.4, GP: 64.1±10.0 years, standardized difference=0.25) with more cardiac risk factors, including diabetes (SA: 54.1%, GP: 34.9%, standardized difference =0.40). Propensity‐score matching resulted in 2473 matched pairs between SA and GP with all baseline covariates being balanced (standardized difference <0.1). Being a SA compared to the GP was protective against freedom from major adverse cardiac and cerebrovascular events, defined by all‐cause death, myocardial infarction, stroke, or coronary reintervention: Adjusted Cox‐proportional hazard ratio 0.91, 95% CI (0.83–0.99), adjusted‐ P =0.04; this was also true for freedom from all‐cause mortality: hazard ratio 0.81, 95% CI (0.72–0.91), adjusted P =0.0004. The adjusted proportion of major adverse cardiac and cerebrovascular events was lower in the SA (SA: 34.7%, GP: 37.8%, McNemar P =0.03), driven largely by all‐cause mortality (SA: 20.4%, GA: 24.3%, McNemar P =0.001). Conclusions Contrary to existing notions, our study finds that being a SA is protective with respect to freedom from long‐term major adverse cardiac and cerebrovascular events and mortality after CABG. More studies are required to corroborate and explore causal factors of these findings.