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. 2011 Dec;8(4):235-40.
doi: 10.5812/iranjradiol.4553. Epub 2011 Dec 25.

Renal artery stenosis and its predictors in hypertensive patients undergoing coronary artery angiography

Hakimeh Vahedparast  1 , Mohammad Reza Pourbehi, Abdullatif Amini, Maryam Ravanipour, Shokrollah Farrokhi, Kamran Mirzaei, Nima Nasehi
Affiliations

Renal artery stenosis and its predictors in hypertensive patients undergoing coronary artery angiography

Hakimeh Vahedparast et al. Iran J Radiol. 2011 Dec.

Abstract

Background: Renal artery stenosis (RAS) has been increasingly recognized in the recent years, especially in patients with coronary artery disease (CAD). RAS affects the patients with hypertension (HTN), but the exact prevalence is not known.

Objectives: This study was performed to determine the prevalence and to identify the predictors of RAS in hypertensive patients undergoing coronary artery angiography.

Patients and methods: In a cross-sectional study from August 2008 to August 2009, 481 patients with HTN and suspected CAD underwent selective coronary and renal angiography for screening and predicting RAS. RAS was defined as a higher than 50% stenosis in the renal artery lumen. Multivariate analysis of factors associated with the presence of RAS were examined using a logistic regression model.

Results: The mean ± standard deviation of age was 59.25 ± 10.81 years and 50.3% were men. According to angiographic data, 425 patients (88.4%) had CAD, while 56 (11.6%) had normal coronary arteries. RAS was seen in 94 (22%) patients with CAD. The multivariate logistic regression analysis identified only age (P < 0.001) and the number of significant coronary lesions (P < 0.001) as independent predictors of RAS. Gender, smoking, congestive heart failure, diabetes mellitus (DM), hyperlipidemia (HLP) and body mass index (BMI) were not independent predictors.

Conclusions: This study suggests that in the management of patients with RAS, risk factors should most likely be considered as beneficial. In addition, the clinical and angiographic features are helpful in predicting its presence in elderly patients with CAD.

Keywords: Angiography; Coronary Artery Disease; Hypertension; Renal Artery Obstruction.

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