医学
内科学
C反应蛋白
心脏病学
血压
冠状动脉疾病
狭窄
接收机工作特性
冠状动脉造影
心肌梗塞
炎症
作者
Mohammad Tajfard,Seyedeh Belin Tavakoly Sany,Amir Avan,Latiffah Abdul Latiff,Hamid Reza Rahimi,Mohsen Moohebati,Mehdi Hasanzadeh,Hamideh Ghazizadeh,Habibollah Esmaeily,Hassan Doosti,Ali Taghipour,Majid Ghayour‐Mobarhan,Gordon A. Ferns,M.H. Megar E.S. Emamian,Mohd Sokhini Bin Abd Mutalib
摘要
Abstract Serum high‐sensitivity C‐reactive protein (hs‐CRP) is predictive of coronary artery disease (CAD). The aim of this study was to examine the possible association of hs‐CRP with presence and severity of CAD and traditional CAD risk factors. This case‐control study was carried out on 2,346 individuals from September 2011 to May 2013. Of these 1,187 had evidence of coronary disease, and were subject to coronary angiography, and the remainder were healthy controls ( n = 1,159). Characteristics were determined using standard laboratory techniques and serum Hs‐CRP levels were estimated using enzyme‐linked immunosorbent assay (ELISA) kits, and severity of CAD was assessed according to the score of obstruction in coronary artery. Serum hs‐CRP levels were higher in those with severe coronary disease, who had stenosis ≥ 50% stenosis of at least one coronary artery (all p < 0.001 vs. individuals in healthy control), and correlated significantly with the score for coronary artery disease (all p < 0.01). After adjustment for conventional risk factors, regression analysis revealed that smoking habits, fasting blood glucose, total cholesterol, high‐density lipoprotein, hs‐CRP, blood pressure, anxiety, dietary intake of vitamin E, and cholesterol remained as independent determinants for angiographic severity of CAD. The area under the receiving operating characteristic (ROC) curve for serum hs‐CRP was 0.869 (CI 95% 0.721–0.872, p < 0.001). The optimal values for the cut‐off point was a serum hs‐CRP of 2.78 mg/l (sensitivity 80.20%, specificity 85%) to predict severity of CAD. Increased serum hs‐CRP levels are significantly associated with angiographic severity of CAD, suggesting its value as a biomarkers for predicting CAD.
科研通智能强力驱动
Strongly Powered by AbleSci AI