A prediction model based on platelet parameters, lipid levels, and angiographic characteristics to predict in-stent restenosis in coronary artery disease patients implanted with drug-eluting stents

A prediction model based on platelet parameters, lipid levels, and angiographic characteristics to predict in-stent restenosis in coronary artery disease patients implanted with drug-eluting stents

Abstract Background The present study was aimed to establish a prediction model for in-stent restenosis (ISR) in subjects who had undergone percutaneous coronary intervention (PCI) with drug-eluting stents (DESs). Materials and methods A retrospective cohort study was conducted. From September 2010...

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Bibliographic Details
Main Authors: Min-Tao Gai, Bing Zhu, Xiao-Cui Chen, Fen Liu, Xiang Xie, Xiao-Ming Gao, Xiang Ma, Zhen-Yan Fu, Yi-Tong Ma, Bang-dang Chen
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Lipids in Health and Disease
Subjects:
In-stent restenosis
Coronary heart disease
Percutaneous coronary intervention
Risk factors
Online Access:https://doi.org/10.1186/s12944-021-01553-2

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