Survival Analysis of Patients with End Stage Renal Disease

3rd International Conference on Science & Engineering in Mathematics, Chemistry and Physics 2015

数学;化学;物理学

Urrutia, J.D.^1 ; Gayo, W.S.^1 ; Bautista, L.A.^1 ; Baccay, E.B.^1

Department of Mathematics and Statistics, College of Science, Polytechnic University of the Philippines, Sta. Mesa, Manila, Philippines^1

关键词: Cardio-vascular disease;    Cumulative hazard function;    End stage renal disease;    Kaplan-Meier estimates;    Pulmonary congestion;    Secondary disease;    Survival analysis;    Survival Function;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/622/1/012014/pdf
DOI  :  10.1088/1742-6596/622/1/012014

来源: IOP

【 摘 要 】

This paper provides a survival analysis of End Stage Renal Disease (ESRD) under Kaplan-Meier Estimates and Weibull Distribution. The data were obtained from the records of V. L. MakabaliMemorial Hospital with respect to time t (patient's age), covariates such as developed secondary disease (Pulmonary Congestion and Cardiovascular Disease), gender, and the event of interest: the death of ESRD patients. Survival and hazard rates were estimated using NCSS for Weibull Distribution and SPSS for Kaplan-Meier Estimates. These lead to the same conclusion that hazard rate increases and survival rate decreases of ESRD patient diagnosed with Pulmonary Congestion, Cardiovascular Disease and both diseases with respect to time. It also shows that female patients have a greater risk of death compared to males. The probability risk was given the equation R = 1 - e-H(t)where e-H(t)is the survival function, H(t) the cumulative hazard function which was created using Cox-Regression.