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21 December 2019 : Clinical Research  

C-Reactive Protein and All-Cause Mortality in Patients with Stable Coronary Artery Disease: A Secondary Analysis Based on a Retrospective Cohort Study

Faxin Luo1ABCDEFG, Caiyun Feng2ABCDEFG, Chaozhou Zhuo1ABCDEFG*

DOI: 10.12659/MSM.919584

Med Sci Monit 2019; 25:9820-9828

Abstract

BACKGROUND: The association between C-reactive protein (CRP) and all-cause mortality (ACM) in patients with stable coronary artery disease (CAD) is unclear. Therefore, the aim of the present study was to explore the correlation between CRP and ACM in stable CAD patients.

MATERIAL AND METHODS: This study was a secondary analysis. Between October 2014 and October 2017, 196 patients aged 43 to 98 years who had a first diagnosis of stable CAD were recruited into this study. We divided the patients into 4 groups (Quartile 1: 0.01–0.03 mg/dL; Quartile 2: 0.04–0.11 mg/dL; Quartile 3: 0.12–0.33 mg/dL; and Quartile 4: 0.34–9.20 mg/dL) according to the concentration of CRP. The indicator surveyed in this research was ACM.

RESULTS: During a median follow-up of 783 days, ACM occurred in 18 patients, with a mortality rate of 9.18% (18/196). Univariate analysis showed that elevated CRP was closely related to ACM in stable CAD patients (P<0.005). After controlling for potential confounding factors by multivariate logistic regression analysis, this relationship still existed. Pearson correlation analysis showed that elevated CRP log10 transform was associated with LVEF (r=–0.1936, P=0.0067). Receiver operating characteristic (ROC) curve analysis showed that the optimal concentration of CRP for the diagnosis of ACM was 0.345, and the area under the curve (AUC) was 0.735.

CONCLUSIONS: Elevated CRP is associated with ACM in stable CAD patients, and the best diagnostic threshold is 0.345.

Keywords: C-Reactive Protein, Coronary Vessels, Hospital Mortality, Aged, Aged, 80 and over, Area Under Curve, biomarkers, Cohort Studies, Coronary Angiography, Coronary Artery Disease, Middle Aged, ROC Curve, Retrospective Studies

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750