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Prevalence and Clinical Correlates of Coronary Artery Disease among New Dialysis Patients in the United States: A Cross-Sectional Study

Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.

Correspondence to Dr. Austin G. Stack, Kidney Epidemiology and Cost Center, 315 West Huron Street, Suite 240, Ann Arbor, MI 48103. Phone: 734-998-6611; Fax: 734-998-6620; E-mail: astack{at}umich.edu

Abstract. Despite the high prevalence of coronary artery disease (CAD) among patients with end-stage renal disease (ESRD), few studies have identified clinical correlates using national data. The purpose of this study was to determine the prevalence and clinical associations of CAD in a national random sample of new ESRD in the United States in 1996/1997 (n = 4025). Data on demographic characteristics and comorbidities were obtained from the Dialysis Morbidity and Mortality Study, Wave 2. The principal outcome was CAD, defined as the presence of a previous history of CAD, myocardial infarction, or angina, coronary artery bypass surgery, coronary angioplasty, or abnormal coronary angiographic findings. Multivariate logistic regression analysis was used to assess the relationship of conventional factors and proposed uremic factors to the presence of CAD. CAD was present in 38% of patients. Of the total cohort, 17% had a history of myocardial infarction and 23% had angina. Several conventional risk factors, including advancing age, male gender, diabetes mellitus, and smoking, were significantly associated with CAD. Of the proposed uremic factors, lower serum albumin levels but higher residual renal function and higher hematocrit values were significantly associated with the presence of CAD. Vascular comorbid conditions, structural cardiac abnormalities, white race, and geographic location were also strongly correlated with the presence of CAD. This national study suggests that several conventional CAD risk factors may also be risk factors for CAD among the ESRD population. This study identifies nonconventional factors such as serum albumin levels, vascular comorbid conditions, and structural cardiac abnormalities as important disease correlates. Future logitudinal studies are required to explore the relative importance of the relationships observed here.

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