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Mean Platelet Volume on Admission Improves Risk Prediction in Patients With Acute Coronary Syndromes
Niu, XW; Yang, CL; Zhang, YM; Zhang, HL; Yao, YL; Yao, YL (reprint author), Lanzhou Univ, Dept Cardiol, Hosp 1, 1 Donggang West Rd, Lanzhou 730000, Gansu, Peoples R China.
刊名ANGIOLOGY
2015-05
卷号66期号:5页码:456-463
关键词acute coronary syndrome mean platelet volume GRACE score risk prediction
ISSN号0003-3197
DOI10.1177/0003319714536024
文献子类Article
英文摘要Our aim was to evaluate the incremental predictive value of adding mean platelet volume (MPV) to the Global Registry of Acute Coronary Events (GRACE) risk score. The MPV and GRACE score were determined on admission in 509 consecutive patients with acute coronary syndrome (ACS). Six-month mortality or nonfatal myocardial infarction (MI) was the study end point. Overall, 61 (12%) patients reached the combined end point. Cox multivariate analysis showed that an elevated MPV was an independent predictor of 6-month mortality or MI in patients with ACS. The addition of MPV to the GRACE model improved its global fit and discriminatory capacity. The new model including MPV allowed adequate reclassification of 16% of the patients. In conclusion, the inclusion of MPV into the GRACE risk score could allow improved risk classification, thereby refining risk stratification of patients with ACS.
学科主题Cardiovascular System & Cardiology
出版地THOUSAND OAKS
语种英语
WOS记录号WOS:000353588600008
内容类型期刊论文
源URL[http://ir.lzu.edu.cn/handle/262010/178572]  
专题第一临床医学院_期刊论文
通讯作者Yao, YL (reprint author), Lanzhou Univ, Dept Cardiol, Hosp 1, 1 Donggang West Rd, Lanzhou 730000, Gansu, Peoples R China.
推荐引用方式
GB/T 7714
Niu, XW,Yang, CL,Zhang, YM,et al. Mean Platelet Volume on Admission Improves Risk Prediction in Patients With Acute Coronary Syndromes[J]. ANGIOLOGY,2015,66(5):456-463.
APA Niu, XW,Yang, CL,Zhang, YM,Zhang, HL,Yao, YL,&Yao, YL .(2015).Mean Platelet Volume on Admission Improves Risk Prediction in Patients With Acute Coronary Syndromes.ANGIOLOGY,66(5),456-463.
MLA Niu, XW,et al."Mean Platelet Volume on Admission Improves Risk Prediction in Patients With Acute Coronary Syndromes".ANGIOLOGY 66.5(2015):456-463.
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