open access
Clinical utility of serum cystatin C in predicting coronary artery disease
open access
Abstract
Methods: Ninety-four patients with CAD, and 92 patients without CAD but with cardiovascular risk factors, were included in this study. Echocardiography and other pertinent laboratory examinations were performed. Subjects were divided into four groups according to their cystatin C quartile. Cystatin C groups were analyzed for the association with CAD characteristics.
Results: The number of patients with CAD increased as the quartile of cystatin C increased, and there was a remarkable difference between quartiles (p < 0.001). Logistic regression analysis revealed independent predictors of incident CAD as cystatin C, hs-CRP, eGFR, HDL cholesterol and SBP (p = 0.005, p = 0.027, p = 0.017, p = 0.014 and p = 0.001, respectively). Moreover, cystatin C concentration was significantly correlated with CAD severity score (b = 0.258, p < 0.01). A cut-off value of 0.82 mg/L for cystatin C predicted incident CAD with a sensitivity and specificity of 75.5% and 75.0% respectively. Cystatin C concentration also correlated well with the atherosclerotic biochemical risk factors like homocysteine, creatinine and hs-CRP.
Conclusions: Cystatin C could be a useful laboratory tool in predicting the presence and severity of CAD in daily practice. It also correlates significantly with biochemical risk factors for CAD, namely homocysteine, low HDL and CRP.
(Cardiol J 2010; 17, 4: 374-380)
Abstract
Methods: Ninety-four patients with CAD, and 92 patients without CAD but with cardiovascular risk factors, were included in this study. Echocardiography and other pertinent laboratory examinations were performed. Subjects were divided into four groups according to their cystatin C quartile. Cystatin C groups were analyzed for the association with CAD characteristics.
Results: The number of patients with CAD increased as the quartile of cystatin C increased, and there was a remarkable difference between quartiles (p < 0.001). Logistic regression analysis revealed independent predictors of incident CAD as cystatin C, hs-CRP, eGFR, HDL cholesterol and SBP (p = 0.005, p = 0.027, p = 0.017, p = 0.014 and p = 0.001, respectively). Moreover, cystatin C concentration was significantly correlated with CAD severity score (b = 0.258, p < 0.01). A cut-off value of 0.82 mg/L for cystatin C predicted incident CAD with a sensitivity and specificity of 75.5% and 75.0% respectively. Cystatin C concentration also correlated well with the atherosclerotic biochemical risk factors like homocysteine, creatinine and hs-CRP.
Conclusions: Cystatin C could be a useful laboratory tool in predicting the presence and severity of CAD in daily practice. It also correlates significantly with biochemical risk factors for CAD, namely homocysteine, low HDL and CRP.
(Cardiol J 2010; 17, 4: 374-380)
Keywords
cystatin C; coronary artery disease; markers of atherosclerosis


Title
Clinical utility of serum cystatin C in predicting coronary artery disease
Journal
Issue
Pages
374-380
Published online
2010-07-27
Page views
692
Article views/downloads
1195
DOI
10.5603/cj.21356
Bibliographic record
Cardiol J 2010;17(4):374-380.
Keywords
cystatin C
coronary artery disease
markers of atherosclerosis
Authors
Mevlut Koc
Mustafa Kemal Batur
Osman Karaarslan
Gülcan Abali