Analysis of Influencing Factors on Survival Time of Patients with Heart Failure

• 作者: Jianwei Sheng Tong Ruan Xiyuan Qian
• 来源期刊: 统计学期刊(英文)
• 学科: 医学
• 关键词: HEART FAILURE SURVIVAL ANALYSIS Longitudinal Data Mixed Effects COX Model
• 年，卷（期）: 2018,（4）
• 页码范围: 651-659
• 页数: 9页
• 分类号: R5

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.