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接受直接经皮冠状动脉介入治疗患者的死亡率预测算法

Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention.

作者信息

Hizoh Istvan, Domokos Dominika, Banhegyi Gyongyver, Becker David, Merkely Bela, Ruzsa Zoltan

机构信息

Heart and Vascular Center, Semmelweis University, Budapest, Hungary.

Independent Researcher, Budapest, Hungary.

出版信息

J Thorac Dis. 2020 Apr;12(4):1706-1720. doi: 10.21037/jtd.2019.12.83.

Abstract

Mortality risk of ST-segment elevation myocardial infarction (STEMI) patients shows high variability. In order to assess individual risk, a number of scoring systems have been developed and validated. Yet, as treatment approaches evolve over time with improving outcomes, there is a need to build new risk prediction algorithms to maintain/increase prognostic accuracy. One of the most relevant improvements of therapy is primary percutaneous coronary intervention (PCI). We overview the characteristics and discriminative performance of the most studied and some recently constructed mortality risk models that were validated in patients with STEMI who underwent primary PCI.

摘要

ST段抬高型心肌梗死(STEMI)患者的死亡风险存在高度变异性。为了评估个体风险,已经开发并验证了许多评分系统。然而,随着治疗方法随着时间的推移不断演变,治疗效果不断改善,有必要构建新的风险预测算法以维持/提高预后准确性。治疗方面最相关的改进之一是直接经皮冠状动脉介入治疗(PCI)。我们概述了在接受直接PCI的STEMI患者中经过验证的、研究最多的以及一些最近构建的死亡风险模型的特征和鉴别性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ae4/7212133/c2f109857175/jtd-12-04-1706-f1.jpg

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