传统PCI
医学
内科学
心脏病学
血运重建
支架
风险评估
冠心病
荟萃分析
重症监护医学
心肌梗塞
计算机科学
计算机安全
作者
Dongmei Wei,Yang Sun,Rongtao Chen
标识
DOI:10.37766/inplasy2023.4.0014
摘要
Review question / Objective: The efficacy of risk prediction model for ISR. Condition being studied: Coronary heart disease (CHD), with high morbidity and high mortality rate, is still a serious public health concern around the world. PCI is fast becoming a key instrument in revascularization for patients with CHD, as well as an important technology in the management of CHD patients.1 Although the clinical application of coronary stents brought about a dramatic improvement in patients’ clinical and procedural outcomes, the mid-and long-term outcome of stent implantation remains significantly hampered by the risk of developing ISR with a prevalence rate of 3–20% over time. Predictive models have the advantage of formally combining risk factors to allow more accurate risk estimation. And it is essential to establish a model to predict ISR in patients with CAD and drug-eluting stents (DESs) implantation.However, predictive model performance needs further evaluation.
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