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多标志物方法预测轻至中度冠状动脉病变患者的心血管事件。一项3年随访研究。

Multimarker approach for the prediction of cardiovascular events in patients with mild to moderate coronary artery lesions. A 3-year follow-up study.

作者信息

Zhang Min, Lu Shuzheng, Wu Xiaofan, Chen Yundai, Song Xiantao, Jin Zening, Li Hong, Zhou Yujie, Chen Fang, Huo Yong

机构信息

Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University.

出版信息

Int Heart J. 2012;53(2):85-90. doi: 10.1536/ihj.53.85.

Abstract

Few studies have assessed the incremental usefulness of multimarkers as predictors of cardiovascular events in patients with mild to moderate coronary artery lesions.We examined 9 plasma inflammatory cytokines (cathepsin S, CXCL16, sopluble CD40 ligand, interleukin-10, placental growth factor, GDF15, matrix metalloproteinase 9, monocyte chemoattractant protein-1, and high-sensitivity C-reactive protein) in 964 patients showing mild to moderate lesions and assessed their association with risk of cardiovascular events during 3 years of follow-up (median 17 months).In a backward Cox regression procedure, Cystatin S (hazard ratio [HR]: 1.788, 95% CI: 1.233 to 2.593, P = 0.02), soluble CD40 ligand (HR: 1.255, 95% CI: 1.054 to 1.494, P = 0.011), placental growth factor (HR: 1.194, 95% CI: 0.976 to 1.461, P = 0.035), and GDF15 (HR: 0.725, 95% CI: 0.550 to 0.956, P = 0.023) were significantly related to cardiovascular events. Compared with multimarker score (according to regression coefficients of significant biomarkers) in the lowest two quintiles, patients in the highest quintile had a higher risk of cardiovascular events after adjustment for traditional risk factors (HR: 2.77, 95% CI: 1.30 to 5.87, P = 0.008). Adding the multimarker score to traditional risk factors contributed significantly to the prediction of cardiovascular events (AUC increased from 0.67 to 0.72).A multimarker approach added to the predictive information obtained from traditional risk factors in patients with mild to moderate coronary artery lesions.

摘要

很少有研究评估多种生物标志物对轻至中度冠状动脉病变患者心血管事件预测的增量效用。我们检测了964例轻至中度病变患者的9种血浆炎症细胞因子(组织蛋白酶S、CXCL16、可溶性CD40配体、白细胞介素-10、胎盘生长因子、GDF15、基质金属蛋白酶9、单核细胞趋化蛋白-1和高敏C反应蛋白),并评估它们与3年随访期(中位17个月)内心血管事件风险的关联。在向后Cox回归分析中,胱抑素S(风险比[HR]:1.788,95%置信区间:1.233至2.593,P = 0.02)、可溶性CD40配体(HR:1.255,95%置信区间:1.054至1.494,P = 0.011)、胎盘生长因子(HR:1.194,95%置信区间:0.976至1.461,P = 0.035)和GDF15(HR:0.725,95%置信区间:0.550至0.956,P = 0.023)与心血管事件显著相关。与最低两个五分位数的多标志物评分(根据显著生物标志物的回归系数)相比,最高五分位数的患者在调整传统危险因素后发生心血管事件的风险更高(HR:2.77,95%置信区间:1.30至5.87,P = 0.008)。将多标志物评分添加到传统危险因素中对心血管事件的预测有显著贡献(曲线下面积从0.67增加到0.72)。多标志物方法增加了从传统危险因素获得的预测信息,用于轻至中度冠状动脉病变患者。

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