文章摘要
高永兴,何 盼,陈 浩,邱炜炜,卞华兴,顾蔚文,周鑫智,季小波.FFR及PLT/TBIL、MPV/PC与冠心病PCI术后主要不良心血管事件的关系研究[J].,2024,(21):4137-4139
FFR及PLT/TBIL、MPV/PC与冠心病PCI术后主要不良心血管事件的关系研究
Study on the Relationship between FFR, PLT/TBIL, MPV/PC and Major Adverse Cardiovascular Events after PCI in Patients with Coronary Heart Disease
投稿时间:2024-06-05  修订日期:2024-06-30
DOI:10.13241/j.cnki.pmb.2024.21.026
中文关键词: 冠心病  经皮冠状动脉介入  FFR  PLT/TBIL  MPV/PC  主要不良心血管事件
英文关键词: Coronary heart disease  Percutaneous coronary intervention  FFR  PLT/TBIL  MPV/PC  Major adverse cardiovascular events
基金项目:2022年度江苏省中医药科技发展委托专项立项计划(2022WTZX07)
作者单位E-mail
高永兴 南京中医药大学江阴附属医院心血管科 江苏 江阴 214400 17768319078@163.com 
何 盼 南京中医药大学江阴附属医院心血管科 江苏 江阴 214400  
陈 浩 南京中医药大学无锡附属医院心血管科 江苏 无锡 214001  
邱炜炜 南京中医药大学江阴附属医院心血管科 江苏 江阴 214400  
卞华兴 南京中医药大学江阴附属医院心血管科 江苏 江阴 214400  
顾蔚文 南京中医药大学江阴附属医院心血管科 江苏 江阴 214400  
周鑫智 南京中医药大学江阴附属医院心血管科 江苏 江阴 214400  
季小波 南京中医药大学江阴附属医院心血管科 江苏 江阴 214400  
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中文摘要:
      摘要 目的:探讨血流储备分数(FFR)及血小板与总胆红素比值(PLT/TBIL)、平均血小板体积与血小板计数比值(MPV/PC)与冠心病经皮冠状动脉介入(PCI)术后主要不良心血管事件(MACE)的关系。方法:230例行PCI术治疗冠心病患者按术后1年MACE发生情况分为MACE组(n=52),与非MACE组(n=178)。PCI术后MACE发生的影响因素采用二元Logistic回归分析,各项指标对冠心病PCI术后MACE发生的预测效能采用受试者工作特征曲线(ROC)分析。结果:单因素分析显示,两组病变血管支数、NYHA心功能分级、FFR、PLT/TBIL、MPV/PC比较均有差异(P<0.05)。二元Logistic回归分析显示,病变血管支数(三支病变)、NYHA心功能分级(Ⅳ级)、PLT/TBIL、MPV/PC均为冠心病PCI术后MACE发生影响因素,而FFR是保护因素(P<0.05)。结论:FFR、PLT/TBIL、MPV/PC与冠心病PCI术后MACE发生相关密切,可作为预测冠心病PCI术后MACE发生有效指标。
英文摘要:
      ABSTRACT Objective: To investigate the relationship between fractional flow reserve (FFR), platelet to total bilirubin ratio (PLT/TBIL), mean platelet volume to platelet count ratio (MPV/PC) and major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) in patients with coronary heart disease. Methods: 230 patients with coronary heart disease who underwent PCI were retrospectively studied. According to the occurrence of MACE 1 year after operation, they were divided into MACE group (n=52) and non-MACE group (n=178). The influencing factors of MACE after PCI were analyzed by binary Logistic regression analysis, and the predictive efficacy of each index on MACE after PCI for coronary heart disease was analyzed by receiver operating characteristic curve (ROC). Results: Univariate analysis showed that there were differences in the number of diseased vessels, NYHA cardiac function classification, FFR, PLT / TBIL, MPV / PC between the two groups (P<0.05). Binary Logistic regression analysis showed that the number of diseased vessels (three-vessel lesion), NYHA cardiac function classification (IV), PLT/TBIL, MPV/PC were all influencing factors of MACE after PCI for coronary heart disease, while FFR was a protective factor (P<0.05). Conclusion: FFR, PLT/TBIL, MPV/PC are closely related to the occurrence of MACE after PCI in coronary heart disease, which can be used as an effective index to predict the occurrence of MACE after PCI in coronary heart disease.
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