Volume 21, Issue 4 (3-2024)
sjsph 2024, 21(4): 413-426 |
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Mirzaei M A, Sartipi M, Mohammadi M. Estimation of Survival Rate in Transplanted Kidney in Chronic Renal Failure in Zahedan City, Iran. sjsph 2024; 21 (4) :413-426
URL: http://sjsph.tums.ac.ir/article-1-6286-en.html
URL: http://sjsph.tums.ac.ir/article-1-6286-en.html
1- MSc. Student, Research Committee, Zahedan University of Medical Sciences, Zahedan, Iran
2- Ph.D. Assistant Professor, Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran ,Msartipi23@gmail.com
3- Ph.D. Professor, Department of Biostatistics and Epidemiology, School of Health, Zahedan University of Medical Sciences, Zahedan, Iran
2- Ph.D. Assistant Professor, Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran ,
3- Ph.D. Professor, Department of Biostatistics and Epidemiology, School of Health, Zahedan University of Medical Sciences, Zahedan, Iran
Abstract: (215 Views)
Background and Aim: Kidney transplantation is the treatment of choice in most patients with kidney disease. It is a surgical operation in which a person’s kidney with chronic failure is replaced with a healthy kidney. The present study was conducted with the aim of estimating the survival probability of a transplanted kidney in patients with chronic kidney failure in Zahedan city, Iran.
Materials and Methods: This was a descriptive-analytical retrospective cohort study using the survival analysis method carried out in 2020. The sample size was estimated to be 211 patients.
Data were analyzed with SPSS.VER22 software using descriptive tests, the Kaplan-Meier method and the Cox proportional hazards model of survival.
Results: The data obtained showed that in general 45 (21.3%) clients had been rejected. In the multiple logistic regression model of kidney transplantation several variables, including survival time, patient survival variables, marital status, donor status, blood pressure and diabetes remained in the model (P<0.05). Further analysis of the data revealed that in the kidney disease patients with transplant survival in Zahedan city, only donor status variables, high blood pressure and diabetes remained in the final multiple Cox regression model.
Conclusion: Based on the results, it can be said that the probability of survival of kidney disease patients is independent of the type of donor and the characteristics of the recipient, which indicates the evolution of kidney transplant management over the past few years; dialysis before kidney transplantation also has an effect on the probability of survival. These factors can help to increase the probability of kidney transplant survival.
Materials and Methods: This was a descriptive-analytical retrospective cohort study using the survival analysis method carried out in 2020. The sample size was estimated to be 211 patients.
Data were analyzed with SPSS.VER22 software using descriptive tests, the Kaplan-Meier method and the Cox proportional hazards model of survival.
Results: The data obtained showed that in general 45 (21.3%) clients had been rejected. In the multiple logistic regression model of kidney transplantation several variables, including survival time, patient survival variables, marital status, donor status, blood pressure and diabetes remained in the model (P<0.05). Further analysis of the data revealed that in the kidney disease patients with transplant survival in Zahedan city, only donor status variables, high blood pressure and diabetes remained in the final multiple Cox regression model.
Conclusion: Based on the results, it can be said that the probability of survival of kidney disease patients is independent of the type of donor and the characteristics of the recipient, which indicates the evolution of kidney transplant management over the past few years; dialysis before kidney transplantation also has an effect on the probability of survival. These factors can help to increase the probability of kidney transplant survival.
Type of Study: Research |
Subject:
Public Health
Received: 2024/07/24 | Accepted: 2024/03/19 | Published: 2024/03/19
Received: 2024/07/24 | Accepted: 2024/03/19 | Published: 2024/03/19
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