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急性心肌梗死患者住院期间新发心房颤动危险因素分析及预测模型的建立 被引量:10

Risk factors and the prediction model of new-onset atrial fibrillation in patients with acute myocardial infarction during hospitalization
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摘要 目的:基于单中心数据探寻急性心肌梗死(AMI)患者新发心房颤动(房颤)的危险因素,建立列线图预测模型。方法:回顾性收集2016年1月—2019年12月因AMI住院的744例患者的临床资料,排除既往有房颤病史患者,根据住院期间是否出现新发房颤将患者分为新发房颤组(76例)和对照组(668例),通过单因素、多因素logistic回归分析新发房颤发生的独立危险因素,应用R软件建立预测新发房颤发生的列线图模型,并行模型内部验证。结果:多因素logistic逐步回归分析显示,年龄、心室率、射血分数减低、左心房内径增大是新发房颤的独立危险因素,依此构建列线图模型,评价分析示C指数为0.796(95%CI:0.742~0.850),校正曲线显示实际预测能力与理想的预测能力较为接近。结论:年龄、心室率、射血分数减低、左心房内径增大是AMI患者住院期间发生新发房颤的独立危险因素,本研究构建的列线图模型可以评估新发房颤的发生风险,具有一定的临床应用价值。 Objective:To interrogate risk factors for new-onset atrial fibrillation in patients with acute myocardial infarction based on single-center data and establish a nomogram prediction model.Methods:A total of 744 patients admitted to the hospital for acute myocardial infarction and without a history of atrial fibrillation from January 2016 to December 2019 were retrospectively collected.According to whether the patients had atrial fibrillation during their hospitalization,they were divided into the new-onset atrial fibrillation group(n=76)and the control group(n=668).Next,the independent risk factors of new-onset atrial fibrillation were analyzed by single-factor and multi-factor logistic regression analysis.Furthermore,the R software was used to establish a nomogram model for predicting the risk of new-onset atrial fibrillation,and this model was internally verified.Results:Multivariate logistic regression analysis showed that age,ventricular rate,reduced ejection fraction,and increased left atrial internal diameter were independent risk factors for new-onset atrial fibrillation.Based on this,the nomogram model was constructed,and the evaluation analysis showed that C-index was 0.796(95%CI:0.742 to 0.850).The calibration curve showed that the actual predictive ability was closer to the ideal predictive power.Conclusion:Age,heart rate,reduced ejection fraction and increased left atrial internal diameter are independent risk factors for the development of new-onset atrial fibrillation during hospitalization in AMI patients,and the nomogram model constructed in this study could evaluate the risk of the development of new-onset atrial fibrillation and has specific clinical application.
作者 毕昌龙 张侃迪 周恩 张田田 张宗棨 张俊峰 BI Changlong;ZHANG Kandi;ZHOU En;ZHANG Tiantian;ZHANG Zongqi;ZHANG Junfeng(Department of Cardiology,the Ninth People's Hospital,School of Medicine,Shanghai Jiaotong University,Shanghai,201900,China)
出处 《临床心血管病杂志》 CAS 北大核心 2021年第8期731-735,共5页 Journal of Clinical Cardiology
基金 上海交通大学医学院附属第九人民医院生物样本库项目(No:YBKA201910)。
关键词 急性心肌梗死 心房颤动 新发 危险因素 列线图 acute myocardial infarction atrial fibrillation new-onset risk factor nomogram
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