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@article{J.Gauss39320, author = {Risky Saragih and Triastuti Wuryandari and Deby Fakhriyana}, title = {ANALISIS MODEL REGRESI COX PROPORTIONAL HAZARD PADA DATA KETAHANAN HIDUP PASIEN HEMODIALISA MENGGUNAKAN METODE BRESLOW}, journal = {Jurnal Gaussian}, volume = {13}, number = {2}, year = {2024}, keywords = {Chronic Kidney; Hemodialysis; Survival; Cox Proportional Hazard; Breslow Method}, abstract = {Chronic Kidney Disease is a pathophysiological stage with various etiologies which causes a progressive and irreversible decline in kidney function that culminates in kidney failure, thus requiring routine kidney therapy. Hemodialysis (HD) is one of the therapies for people with kidney disorders who have poor kidney function. The Cox Proportional Hazard Regression Model is a commonly used model in survival analysis to analyze time to events or between events. In the survival analysis data, there may be ties or joint events, so in this study Cox Proportional Hazard regression was used with the Breslow approach. This study aims to determine the factors that affect the survival time of hemodialysis patients, especially patients at Vita Insani Pematang Siantar Hospital, North Sumatra Province. Based on the results of the analysis obtained that hemodialysis patients who have high systolic blood pressure ≥ 140 chances of failure to survive greater than hemodialysis patients with normal systolic blood pressure. Therefore, hemodialysis patients with high systolic blood pressure need special attention.}, issn = {2339-2541}, pages = {443--449} doi = {10.14710/j.gauss.13.2.443-449}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/39320} }
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