Advances and Applications in Statistics
Volume 65, Issue 2, Pages 165 - 187
(December 2020) http://dx.doi.org/10.17654/AS065020165 |
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SURVIVAL ANALYSIS ON HEMODIALYSIS PATIENTS USING COX REGRESSION
Kennet G. Cuarteros and Noel G. Cuarteros Jr.
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Abstract: The number of people suffering from kidney failure who underwent hemodialysis is alarmingly increasing. Insufficient information on factors that affects the survival of hemodialysis patients may lead to negligence and death rate. A 24-month study period was conducted at the Nephrology Center of Cagayan de Oro (NCCDO) to determine the survival rate and factors affecting the survival among patients on maintenance hemodialysis. The Kaplan-Meier method result showed that out of 91 patients studied, 50.0% were still alive with a mean survival time of 15.051 months. Log-rank test result showed that there is a significant survival difference between different groups of ages and different diagnoses. Cox proportional hazard regression result showed that as the patient’s age increases, the probability of survival decreases. Subsequently, patients who were diagnosed with Chronic Kidney Disease 2 Glomerulonephritis, Chronic Kidney Disease 2 Diabetes Mellitus Nephropathy, and Chronic Kidney Disease 2 Hypertension Nephrosclerosis were associated with better survival. |
Keywords and phrases: survival analysis, hemodialysis, survival factors, survival rate, Cox regression.
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