Analysis of Influencing Factors on Survival Time of Patients with Heart Failure - Open Journal of Statistics

OJS > Vol.8 No.4, August 2018

Open Journal of Statistics

Volume 8, Issue 4 (August 2018)

ISSN Print: 2161-718X ISSN Online: 2161-7198

Google-based Impact Factor: 0.53 Citations

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

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Download as PDF (Size: 663KB) PP. 651-659

DOI: 10.4236/ojs.2018.84042 818 Downloads 2,038 Views Citations

Author(s)

Jianwei Sheng¹, Xiyuan Qian^1*, Tong Ruan²

Affiliation(s)

¹School of Science, East China University of Science and Technology, Shanghai, China.
²School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China.

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.

KEYWORDS

Heart Failure, Survival Analysis, Longitudinal Data, Mixed Effects Cox Model

Share and Cite:

Sheng, J. , Qian, X. and Ruan, T. (2018) Analysis of Influencing Factors on Survival Time of Patients with Heart Failure. Open Journal of Statistics, 8, 651-659. doi: 10.4236/ojs.2018.84042.

Cited by

[1]	Survival Rate Analysis of Heart Failure Patients at Arbaminch General Hospital, Southern Ethiopia, 2022
	American Journal of …, 2023

[2]	Assessing survival time of heart failure patients: using Bayesian approach
	Journal of Big Data, 2021

[3]	A discourse on predicators of medically diagnosed cardiac dysfunctional patients and survival
	2020

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