[1]梅莉 张力.感染性心内膜炎危险分层及预后预测研究进展[J].心血管病学进展,2020,(4):349-353.[doi:10.16806/j.cnki.issn.1004-3934.2020.04.005]
　MEI Li ZHANG Li.Risk Stratification and Prognosis Prediction for Infective Endocarditis[J].Advances in Cardiovascular Diseases,2020,(4):349-353.[doi:10.16806/j.cnki.issn.1004-3934.2020.04.005]
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感染性心内膜炎危险分层及预后预测研究进展()
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《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2020年4期
页码:
349-353
栏目:
综述
出版日期:
2020-04-25

文章信息/Info

Title:
Risk Stratification and Prognosis Prediction for Infective Endocarditis
作者:
梅莉1 张力 2
(1.浙江大学医学院,浙江 杭州310029;2.浙江大学医学院附属第一医院心内科,浙江 杭州310003)
Author(s):
MEI Li1 ZHANG Li2
(1. School of Medicine, Zhejiang University, Hangzhou 310029, Zhejiang, China; 2. Department of Cardiology, The First Affiliated Hospital , School of Medicine , Zhejiang University , Hangzhou 310003, Zhejiang , China)
关键词:
感染性心内膜炎; 危险分层; 预后预测
Keywords:
Infective endocarditis;  Risk stratification;  Prognosis prediction
DOI:
10.16806/j.cnki.issn.1004-3934.2020.04.005
摘要:
感染性心内膜炎有着高患病率和死亡率，早期识别高危患者并预测预后具有重要意义。近年来，越来越多的研究揭示了与其预后相关的预测因素。其中主要预后预测因素包括患者特征、临床并发症、病原微生物和超声心动图表现；新型预后预测因素包括炎症标志物水平、血小板减少症、中性粒细胞微囊泡水平、心脏瓣膜18F-氟代脱氧葡萄糖摄取强度。一些研究构建出具有重要临床价值的预后预测模型，如Hasbun R模型、Sy RW模型和Park LP模型。现将从以上三个方面对感染性心内膜炎危险分层及预后预测的最新进展进行综述。
Abstract:
Infective endocarditis has a significant morbidity and mortality, and early identification of high-risk patients and prediction of poor outcomes is of great significance. In recent years, increasing research has revealed the predictors associated with infective endocarditis prognosis. The main prognosis predictors are patient characteristics, clinical complications, microorganism and echocardiographic findings.The novel prognosis predictors are the level of inflammatory markers, thrombocytopenia, the level of neutrophil cell microvesicles and the uptake intensity of 18F-FDG in heart valves. Some studies has constructed models for prognosis prediction, such as Hasbun R Model, Sy RW Model and Park LP Model, which have great clinical value. This paper reviews the latest advances of infective endocarditis risk stratification and prognosis prediction from the above three aspects.

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备注/Memo

备注/Memo:
基金项目：国家自然青年科学基金项目（81700238）
通讯作者：张力，E-mail：li_zhang@zju.edu.cn
更新日期/Last Update: 2020-07-28