Prevalence and risk factors of atherosclerotic renal artery stenosis

Abstract

To explore the prevalence and risk factors of atherosclerotic renal artery stenosis (ARAS) in patients undergoing coronary angiography. A total of 2506 patients with suspected and known coronary heart disease (CAD) at our hospital underwent simultaneous coronary and renal angiography. Renal artery stenosis was defined as at least one of renal artery stenosis ≥ 50% narrowing of luminal diameter. The prevalence of ARAS was summarized from the results of angiography. And single- and multi-variable logistic regression analysis was used to assess the relationship between clinical characteristics and ARAS. Among them, there were 1479 males and 1027 females with a mean age of 62.7 ± 11.4 years. ARAS was detected in 409 patients (16.3%), including 214 (8.5%) with significant stenosis (≥ 75%); Bilateral ARAS was detected in 98 patients (3.9%), including 27 (1.1%) with significant stenosis (≥ 75%). Left and right ARAS were detected in 162 patients (6.5%) and 148 patients (5.9%) respectively, including 84 patients (3.4%) with significant stenosis (≥ 75%) in left ARAS and 72 patients (2.9%) in right ARAS. Univariate analysis indicated that age, females, diabetes, hypertension, stroke, peripheral artery disease, coronary heart disease, renal insufficiency, dyslipidemia and hyperuricemia were the predictor for ARAS (P < 0.05 or 0.01). Multivariate regression analysis demonstrated that age ≥ 65 years (P = 0.025, OR = 1.358), females (P < 0.01, OR = 1.678), hypertension (P < 0.01, OR = 1.650), peripheral artery disease (P < 0.01, OR = 14.678), renal insufficiency (P < 0.01, OR = 1.835), coronary heart disease including 3-vessel (P < 0.01, OR = 1.746) and left main coronary (P < 0.01, OR = 3.416)disease were independent risk factors for ARAS. Renal angiography should be routinely performed in female patients aged ≥ 65 years with hypertension, peripheral artery disease, elevated creatinine and coronary heart disease, especially for 3-vessel and left main coronary disease to identify ARAS in time.