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冠心病合并心力衰竭患者再住院影响因素的多水平模型
引用本文:韩嫱,田晶,闫晶晶,李晨昊,杨弘,王可,韩清华,张岩波.冠心病合并心力衰竭患者再住院影响因素的多水平模型[J].中华疾病控制杂志,2019,23(8):961-965.
作者姓名:韩嫱  田晶  闫晶晶  李晨昊  杨弘  王可  韩清华  张岩波
作者单位:030000太原,山西医科大学公共卫生学院卫生统计学教研室;030000太原,重大疾病风险评估山西省重点实验室;山西医科大学第一附属医院心内科,太原,030000
基金项目:国家自然科学基金81872714山西省青年科技研究基金201801D221423山西省重点实验室201805D111006
摘    要:  目的  构建多水平Cox回归模型,分析冠心病合并心力衰竭患者再住院的影响因素。  方法  2014年1月-2017年12月在山西省两所三甲医院连续入选符合标准的1 433例冠心病合并心衰的住院患者。记录患者住院的病历资料(包括基线资料、检查及治疗情况等)并对其进行随访,中位随访期为23个月。应用单因素Cox回归分析及多因素Cox回归分析对自变量进行筛选;采用两水平Cox回归模型进行影响因素的分析。  结果  研究对象中的436(30.4%)例患者发生了再住院,两水平Cox回归分析结果显示高龄(HR=1.010,95%CI:1.001~1.019,P=0.032)、男性(HR=1.234,95%CI:1.009~1.509,P=0.040)、体力劳动(HR=1.458,95%CI:1.036~2.050,P=0.030)、市医保(HR=1.513,95%CI:1.120~2.043,P=0.007)、QRS波间期延长(HR=1.004,95%CI:1.001~1.008,P=0.018)是冠心病合并心力衰竭患者再住院的独立危险因素;高尿比重(HR=0.000,95%CI:0.000~0.059,P=0.021)为冠心病合并心衰患者再住院的保护因素。  结论  年龄、性别、职业、市医保、QRS间期及尿比重是冠心病合并心衰患者再住院的影响因素;加强临床护理监测和完善社会保障制度可以减少患者再住院的发生。

关 键 词:冠心病  心力衰竭  再住院  影响因素  两水平Cox回归模型
收稿时间:2019-04-06

Multilevel model analysis for influencing factors of readmission in coronary heart disease patients with heart failure
Institution:1.Department of Biostatistics, School of Public Health, Shanxi Medical University, Taiyuan 030000, China2.Department of Cardiology, First Affiliated Hospital, Shanxi Medical University, Taiyuan 030000, China3.Shanxi Provincial Key Laboratory of Major Assessment Diseases Risk, Taiyuan 030000, China
Abstract:  Objective  To explore the influencing factors of readmission in coronary heart disease patients with heart failure by constructing a multilevel Cox regression model.  Methods  A total of 1 433 coronary heart disease patients with heart failure were consecutively enrolled, from two hospitals in Shanxi Province from January, 2014 to December, 2017. Patients' medical records (including baseline data, examination and treatment) were recorded and patients were followed up. The median follow-up period was 23 months. Univariate Cox regression analysis and mutivariate Cox regression analysis were used to screen the independent variables. Two-level Cox regression model was used to analyze the influencing factors.  Results  Rehospitalization occurred in 436(30.4%) cases. Two-level Cox regression model showed that advanced age(HR=1.010, 95% CI: 1.001-1.019, P=0.032), male(HR=1.234, 95% CI: 1.009-1.509, P=0.040), physical labor(HR=1.458, 95% CI: 1.036-2.050, P=0.030), urban medical insurance (HR=1.513, 95% CI: 1.120-2.043, P=0.007), and prolonged QRS interval (HR=1.004, 95% CI: 1.001-1.008, P=0.018) were independent risk factors for readmission coronary heart disease patients with heart failure. High urine specific gravity(HR=0.000, 95% CI: 0.000-0.059, P=0.021) was a protective factor.  Conclusions  The age, gender, occupation, urban medical insurance, QRS intervall, and urine specific gravity are influencing factors of readmission in coronary heart disease patients with heart failure. Strengthening clinical nursing and monitoring and perfecting social security system can reduce the occurrence of patients' rehospitalization.
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