TITLE:
Analysis of Influencing Factors on Survival Time of Patients with Heart Failure
AUTHORS:
Jianwei Sheng, Xiyuan Qian, Tong Ruan
KEYWORDS:
Heart Failure, Survival Analysis, Longitudinal Data, Mixed Effects Cox Model
JOURNAL NAME:
Open Journal of Statistics,
Vol.8 No.4,
July
19,
2018
ABSTRACT: 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.