Predictors of renal artery stenosis in patients undergoing cardiac catheterization for suspected coronary artery disease

Abstract

Available online xxx Keywords:Renal artery stenosis Coronary artery disease Cardiac catheterization a b s t r a c t Aim: This study determined the prevalence of Renal Artery Stenosis (RAS) and established its predictors in patients undergoing cardiac catheterization for suspected Coronary Artery Disease (CAD). Methods: 1266 patients underwent coronary angiogram for suspected CAD. Following coronary angiogram, bilateral selective renal angiogram was performed. Study population was split into cohorts with and without RAS. A binary logistic regression model was used to identify univariate predictors of RAS. Significant univariate predictors were used to build a multivariate logistic regression model. Comparative accuracy of various models in predicting RAS was estimated by computing areas under the Receiver Operating Characteristic (ROC) curve.Results: Prevalence of significant RAS in study population was 6.0%. In univariate analysis, mean age (p ¼ 0.002), diabetes mellitus (p ¼ 0.009), hypertension of more than five years duration (p ¼ 0.034), serum creatinine concentration of >1 mg per 100 ml (p ¼ 0.009), peripheral arterial disease (p ¼ 0.019), and significant CAD (p ¼ 0.037) were predictors of RAS.In the multivariate analysis, serum creatinine concentration (p ¼ 0.002), peripheral arterial disease (p ¼ 0.017), Two-vessel CAD (p ¼ 0.043), and Three-vessel CAD (p ¼ 0.007) were independent predictors of RAS. Areas under the non-crossing ROC curves revealed that a simple model incorporating two-vessel CAD and three-vessel CAD had an acceptable accuracy in predicting RAS.Please cite this article in press as: Sai CV, et al., Predictors of renal artery stenosis in patients undergoing cardiac catheterization for suspected coronary artery disease, Journal of Indian College of Cardiology (2015), http://dx.