2019

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Survival Analysis on Chronic Kidney Disease
(UMT.Lahore, 2019) MAHRUKH SHAZADI
In this research work the sample of the 94 patients including 43 males 51 and female patients have been studied to explore the effects of diabetes and high blood patients on survival time. Kaplan Meier non-parametric technique is used to determine survival. In Kaplan Meier technique survival curve is used to determine a fraction of patients surviving a specified event, like death during given period of time. We are also estimated median survival time for male and female and construct 95% confidence interval. Cox-regression technique is also applied to observe the effect of significant factors on survival time. These factors include gender, age, protein in urine, glomerulonephritis, hospitalized, stages of CKD, status on exit date, time Diagon, kidney stone, diabetes, high blood pressure, due to hospitalization, Diga ultrasound out of these factors only kidney stone, hospitalize, stages of chronic kidney disease, diabetes. It is also observing from the study that the survival time of the patients is reduce those are suffering from chronic kidney disease.