Survival Times of Transplanted Kidneys Among Different Donor–Recipient Cohorts: The United States Registry Analysis from 1987 to 2018, Part 1: Gender and Ethnicity

Nezamoddin N. Kachouie (), Alain Despeignes and Daniel Breininger
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Nezamoddin N. Kachouie: Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA
Alain Despeignes: Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA
Daniel Breininger: Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA

Stats, 2024, vol. 8, issue 1, 1-16

Abstract: Over seven thousand people on average die each year in the United States waiting for an organ transplant due to the shortage of donated organs. With this alarming concern, efforts from the health organizations like the United Network Organ Sharing (UNOS) and government officials, by sharing the transplant data, inspire the investigation of the characteristics among donors and recipients that affects the longevity of donated organs. The goal of this study is to investigate the survival time of transplanted kidneys from 1987 to 2018 regarding the donors’ and the recipients’ characteristics. Survival analysis is performed to determine the characteristics associated with survival time of transplanted kidneys. Our results indicate that there is a noticeable correlation between the survival time and the matching ethnicity of donor and recipient. However, the optimal survival time was not necessarily associated with the matching genders of donor and recipient. It was observed that, on average, the male-to-female kidney transplant has a longer survival time. The premise of this study was the use of statistical analysis methods to identify general trends in survival times of transplanted kidneys among different patient cohorts available through the UNOS registry. We must emphasize that the context of this research is bounded within the domain of statistical analysis and within the scope of the methods that were employed in this study. The outcomes of this study are of statistical interest, with potential clinical significance.

Keywords: UNOS; kidney transplants; optimal survival time; Kaplan Meier; Cox PH; donor–recipient match; gender; ethnicity (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2024
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