摘要
目的采用随机森林算法分析冠状动脉粥样硬化性心脏病(简称冠心病)合并心力衰竭(简称心衰)患者接受经皮冠状动脉介入治疗(percutaneous coronary intervention,PCI)术后1年内死亡的影响因素。方法连续入选2014年1月至2019年7月,于山西医科大学第一医院及山西省心血管病医院心内科住院的冠心病合并心衰并在本次住院期间接受PCI的患者1078例,随访1年,以死亡为终点事件。利用随机森林算法构建预后模型,分析PCI患者术后1年内死亡的影响因素。结果随机森林模型显示,红细胞分布宽度(red blood cell distribution width,RDW)、心率、GLU、白蛋白和氨基末端脑钠肽前体(N-terminal pro-B-type natriuretic peptide,NT-proBNP)是患者死亡的前五位影响因素。结论RDW、心率、GLU、白蛋白和NT-proBNP是PCI患者术后1年内死亡的前五位影响因素。这为临床评估患者获益与风险、选择最佳治疗方案提供理论依据。
Objective The study’s objective is to use a random forest algorithm to analyze the influencing factors of death within a year after percutaneous coronary intervention(PCI)in patients with coronary atherosclerotic heart disease(coronary heart disease,CHD)and heart failure(HF).Methods A total of 1078 inpatients who accepted PCI were enrolled from the First Hospital of Shanxi Medical University and Shanxi Cardiovascular Hospital from January 2014 to July 2019.All participants were followed up for 1 year,and death was chosen as the endpoint.A random forest algorithm was used to establish a prognostic model to analyze the influencing factors of death in the first year after PCI.Results The random forest model showed that red blood cell distribution width(RDW),heart rate,GLU,plasma albumin,and N-terminal pro-B-type natriuretic peptide(NT-proBNP)were the top five influencing factors of death.Conclusions RDW,heart rate,GLU,plasma albumin,and NT-proBNP were the top five influencing factors of death within a year after PCI in patients with CHD and HF.Our results provided a theoretical basis for the clinical evaluation of the benefits and risks for patients and the selection of treatment plans for doctors.
作者
韩港飞
田晶
和紫铉
张雅婧
武亭宇
张岩波
韩清华
HAN Gangfei;TIAN Jing;HE Zixuan;ZHANG Yajing;WU Tingyu;ZHANG Yanbo;HAN Qinghua(Department of Cardiology,the First Hospital of Shanxi Medical University,Taiyuan 030001,China;Department of Biostatistics,School of Public Health,Shanxi Medical University,Shanxi Provincial Key Laboratory of Major Assessment Diseases Risk,Taiyuan 030001,China)
出处
《中华疾病控制杂志》
CAS
CSCD
北大核心
2023年第4期425-430,共6页
Chinese Journal of Disease Control & Prevention
基金
国家自然科学基金(81970204,82103958)
山西省重点研发计划项目(201903D421024)
