基于随机森林算法的急性ST段抬高型心肌梗死患者经皮冠状动脉介入治疗术后无复流风险因素分析

doi:10.3969/j.issn.1006-5253.2021.01.002

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Abstract Objective To investigate the risk factors of no-reflow after percutaneous coronary intervention (PCI) in patients with acute ST-segment elevation myocardial infarction (STEMI) based on random forest algorithm. Methods A retrospective observational study was carried out in one hospital from January 2013 to June 2019. The general clinical data of the patients, various blood indicators and PCI postoperative conditions were collected. Random forest algorithm and multivariate logistic regression analysis were used to analyze the risk factors. Results We collected 352 STEMI patients who met the inclusion criteria, of which 63 had no reflow and 289 had reflow. We constructed a random forest models, C-index to assess discrimination performance in the training dataset was 0.980 and C-index to assess discrimination performance in the test dataset was 0.840. The variables mean platelet volume to lymphocyte ratio (MPVLR), length of lesion, hypertension, pain-to-balloon time (PBT), lymphocyte count (LYM) and platelet to lymphocyte ratio (PLR) were selected. Multivariate logistic regression further showed that MPVLR, hypertension, PBT, LYM and PLR were independent risk factors affecting no-reflow after PCI in patients with acute STEMI.Conclusion Random forest analysis combined with multivariate logistic regression showed that MPVLR, hypertension, PBT, LYM and PLR were independent risk factors affecting noreflow after PCI in patients with acute STEMI, which could provide a basis for rapid and simple risk analysis and early intervention of medical staff.

Key words： acute ST-segment elevation myocardial infarction percutaneous coronary intervention non-reflow random forest logistic regression

Received: 08 September 2020

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Yu Xiao. Analysis of risk factors for non-reflow after percutaneous coronary intervention in patients with acute ST-segment elevation myocardial infarction based on random forest algorithm[J]. journal1, 2021, 28(1): 6-11.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2021.01.002 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2021/V28/I1/6

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