Literature DB >> 25084128

Serum cystatin C levels are associated with coronary artery disease and its severity.

Gan-nan Wang1, Kai Sun1, De-liang Hu1, Hong-hao Wu1, Xiao-zhi Wang2, Jin-song Zhang3.   

Abstract

OBJECTIVES: Serum cystatin C has been established as a predictor of cardiovascular events. The aim of this study was to evaluate the role of cystatin C in determining the presence and the severity of patients with coronary artery disease (CAD). DESIGN AND METHODS: A total of 936 subjects without overt renal disease were included in this cross-sectional study. Among them were 714 patients with CAD and 222 without based on coronary angiography. Subjects were further divided into four groups according to cystatin C quartile. Serum cystatin C was measured using particle-enhanced immunoassay method. The study analyzed the relationship of cystatin C levels with the presence and severity of CAD, including the number of stenotic vessels involved and Gensini score.
RESULTS: Serum cystatin C levels were significantly higher in patients with CAD than those without (P<0.001), and significantly increased as the involvement of coronary vessels increased (P<0.001). The prevalence of CAD and its severity assessed by Gensini score were also significantly greater in the highest quartile of cystatin C (P<0.001). Moreover, cystatin C levels were independently correlated with the presence of CAD in a multivariate logistic regression model (P=0.023) and were positively correlated with Gensini score by linear regression analysis (standardized β=0.083, P=0.010).
CONCLUSIONS: Elevated serum cystatin C levels were significantly associated with the presence and severity of CAD in patients with normal renal function. It is suggested that cystatin C might play a role in CAD diagnosis and serve as a marker of CAD severity.
Copyright © 2014 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Coronary artery disease; Cystatin C; Gensini score; Glomerular filtration rate

Mesh:

Substances:

Year:  2014        PMID: 25084128     DOI: 10.1016/j.clinbiochem.2014.07.013

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


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