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Indian Journal of Public Health Research & Development
Year : 2018, Volume : 9, Issue : 11
First page : ( 1592) Last page : ( 1600)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2018.01673.X

Survival analysis of chronic kidney disease patients using stratified cox regression in arifin achmad hospital, Pekanbaru, Riau

Muhajir Muhammad1, Imanina Cynthia Hazirah1

1Department of Statistics, Faculty of Mathematics and Science, Islamic University of Indonesia, Yogyakarta, Indonesia

Online published on 7 December, 2018.

Abstract

Chronic Kidney Disease (CKD) is a clinical condition characterized by decreased kidney function requiring renal replacement therapy were fixed, in the form of dialysis. The mortality rate caused by CKD increases significantly each year and needs to be reduced. The purpose of this study to determine the factors that affect patients from CKD in hospitals Arifin Achmad, Pekanbaru, Riau in 2015–2017. The sample of this study amounted to 230 samples. One of the tools to analyze the longer survival of patients with CKD is cox proportional hazards regression. In the long survival data of patients with CKD there is a possibility of ties, so there is one method in determining the partial likelihood estimation parameters, that is exact. Based on the analysis results obtained the factors that most influence with the best parameter estimation is the exact approach are diastolic blood pressure, respiratory rate, urea levels, and action. There is a variable that does not meet the proportional hazard assumption, is the action variable. One way to overcome this by using Cox Stratified Regression Without Interaction and Cox Stratified Regression with Interaction. Based on the results of the analysis that meets the proportional hazard assumption is the method of Cox Stratified Regression Without Interaction and obtained the factors that affect the length of survival of CKD patients are age, diastolic blood pressure, respiratory rate, and urea levels. Interpretation of equation model of Cox Stratified Regression Without Interaction obtained result of increase of age patient have chance to die bigger of 1.0208 times, increase of diastolic blood pressure patient has chance to die smaller equal to 1.0571 times, increase of respiration rate patient have chance to die bigger equal to 1.0677 times, and increase of ureum level patient have chance to die bigger of 1.0073 times.

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Keywords

CKD, Cox Proportional Hazard, Stratified Cox.

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