文献类型：期刊文献

中文题名：Analysis of Influencing Factors on Survival Time of Patients with Heart Failure

英文题名：Analysis of Influencing Factors on Survival Time of Patients with Heart Failure

作者：Jianwei Sheng[1];Xiyuan Qian[1];Tong Ruan[2]

机构：[1]School of Science, East China University of Science and Technology, Shanghai, China;[2]School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2018

卷号：8

期号：4

起止页码：651

中文期刊名：Open Journal of Statistics

外文期刊名：统计学期刊（英文）

收录：PubMed

语种：英文

中文关键词：Heart;Failure;Survival;Analysis;Longitudinal;Data;Mixed;Effects;Cox;Model

外文关键词：Heart Failure;Survival Analysis;Longitudinal Data;Mixed Effects Cox Model

摘要：To explore the influencing factors of survival time of patients with heart failure, a total of 1789 patients with heart failure were collected from Shanghai Shuguang Hospital. The Cox proportional hazards model and the mixed effects Cox model were used to analyze the factors on survival time of patients. The results of Cox proportional hazards model showed that age (RR = 1.32), hypertension (RR = 0.67), ARB (RR = 0.55), diuretic (RR = 1.48) and antiplatelet (RR = 0.53) have significant impacts on the survival time of patients. The results of mixed effects Cox model showed that age (RR = 1.16), hypertension (RR = 0.61), lung infection (RR = 1.43), ARB (RR = 0.64), β-blockers (RR = 0.77) and antiplatelet (RR = 0.69) have a significant impact on the survival time of patients. The results are consistent with the covariates age, hypertension, ARB and antiplatelet but inconsistent with the covariates lung infection and β-blockers.
To explore the influencing factors of survival time of patients with heart failure, a total of 1789 patients with heart failure were collected from Shanghai Shuguang Hospital. The Cox proportional hazards model and the mixed effects Cox model were used to analyze the factors on survival time of patients. The results of Cox proportional hazards model showed that age (RR = 1.32), hypertension (RR = 0.67), ARB (RR = 0.55), diuretic (RR = 1.48) and antiplatelet (RR = 0.53) have significant impacts on the survival time of patients. The results of mixed effects Cox model showed that age (RR = 1.16), hypertension (RR = 0.61), lung infection (RR = 1.43), ARB (RR = 0.64), β-blockers (RR = 0.77) and antiplatelet (RR = 0.69) have a significant impact on the survival time of patients. The results are consistent with the covariates age, hypertension, ARB and antiplatelet but inconsistent with the covariates lung infection and β-blockers.