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Mortality in Living Kidney Donors With ESRD: A Propensity Score Analysis Using the United States Renal Data System

INTRODUCTION: In recent years, data have emerged on the outcomes of living kidney donors who develop end-stage renal disease (ESRD). We aimed to evaluate mortality rates in kidney donors who had initiated dialysis compared with a propensity-matched cohort of dialysis patients without previous kidney...

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Autores principales: Brar, Amarpali, Stefanov, Dimitre G., Jindal, Rahul M., Salifu, Moro O., Joshi, Madhu, Cadet, Bair, Nee, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127411/
https://www.ncbi.nlm.nih.gov/pubmed/30197971
http://dx.doi.org/10.1016/j.ekir.2018.04.005
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author Brar, Amarpali
Stefanov, Dimitre G.
Jindal, Rahul M.
Salifu, Moro O.
Joshi, Madhu
Cadet, Bair
Nee, Robert
author_facet Brar, Amarpali
Stefanov, Dimitre G.
Jindal, Rahul M.
Salifu, Moro O.
Joshi, Madhu
Cadet, Bair
Nee, Robert
author_sort Brar, Amarpali
collection PubMed
description INTRODUCTION: In recent years, data have emerged on the outcomes of living kidney donors who develop end-stage renal disease (ESRD). We aimed to evaluate mortality rates in kidney donors who had initiated dialysis compared with a propensity-matched cohort of dialysis patients without previous kidney donation. METHODS: We used the United States Renal Data System (USRDS) and abstracted 274 previous living kidney donors between 1995 and 2009. There were 609,398 individuals on dialysis without kidney donation. We used propensity score matching to identify 258 donors and 258 nondonors. The time-dependent Cox proportional hazards model was used to compare survival between the 2 matched cohorts. RESULTS: In the propensity score−matched cohort, mortality was lower in donors compared with nondonors (19% vs. 49%; P < 0.0001). The time-dependent Cox proportional hazards model demonstrated that donors had significantly lower mortality compared with nondonors 0 to 5 years since start of dialysis (hazard ratio [HR]: 0.17; 95% confidence interval [CI] 0.11−0.27; P < 0.0001) and with nondonors 5 to 10 years on dialysis (HR: 0.34; 95% CI: 0.19−0.63; P < 0.001). We were unable to estimate the difference between the 2 groups after 10 years on dialysis with any precision (HR: 0.51; 95% CI: 0.18−1.42; P = 0.20) due to the small sample size. CONCLUSION: We observed a lower mortality rate in living kidney donors with ESRD compared with matched nondonors. This data should guide clinicians in the informed consent process with prospective donors.
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spelling pubmed-61274112018-09-07 Mortality in Living Kidney Donors With ESRD: A Propensity Score Analysis Using the United States Renal Data System Brar, Amarpali Stefanov, Dimitre G. Jindal, Rahul M. Salifu, Moro O. Joshi, Madhu Cadet, Bair Nee, Robert Kidney Int Rep Clinical Research INTRODUCTION: In recent years, data have emerged on the outcomes of living kidney donors who develop end-stage renal disease (ESRD). We aimed to evaluate mortality rates in kidney donors who had initiated dialysis compared with a propensity-matched cohort of dialysis patients without previous kidney donation. METHODS: We used the United States Renal Data System (USRDS) and abstracted 274 previous living kidney donors between 1995 and 2009. There were 609,398 individuals on dialysis without kidney donation. We used propensity score matching to identify 258 donors and 258 nondonors. The time-dependent Cox proportional hazards model was used to compare survival between the 2 matched cohorts. RESULTS: In the propensity score−matched cohort, mortality was lower in donors compared with nondonors (19% vs. 49%; P < 0.0001). The time-dependent Cox proportional hazards model demonstrated that donors had significantly lower mortality compared with nondonors 0 to 5 years since start of dialysis (hazard ratio [HR]: 0.17; 95% confidence interval [CI] 0.11−0.27; P < 0.0001) and with nondonors 5 to 10 years on dialysis (HR: 0.34; 95% CI: 0.19−0.63; P < 0.001). We were unable to estimate the difference between the 2 groups after 10 years on dialysis with any precision (HR: 0.51; 95% CI: 0.18−1.42; P = 0.20) due to the small sample size. CONCLUSION: We observed a lower mortality rate in living kidney donors with ESRD compared with matched nondonors. This data should guide clinicians in the informed consent process with prospective donors. Elsevier 2018-04-19 /pmc/articles/PMC6127411/ /pubmed/30197971 http://dx.doi.org/10.1016/j.ekir.2018.04.005 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Clinical Research
Brar, Amarpali
Stefanov, Dimitre G.
Jindal, Rahul M.
Salifu, Moro O.
Joshi, Madhu
Cadet, Bair
Nee, Robert
Mortality in Living Kidney Donors With ESRD: A Propensity Score Analysis Using the United States Renal Data System
title Mortality in Living Kidney Donors With ESRD: A Propensity Score Analysis Using the United States Renal Data System
title_full Mortality in Living Kidney Donors With ESRD: A Propensity Score Analysis Using the United States Renal Data System
title_fullStr Mortality in Living Kidney Donors With ESRD: A Propensity Score Analysis Using the United States Renal Data System
title_full_unstemmed Mortality in Living Kidney Donors With ESRD: A Propensity Score Analysis Using the United States Renal Data System
title_short Mortality in Living Kidney Donors With ESRD: A Propensity Score Analysis Using the United States Renal Data System
title_sort mortality in living kidney donors with esrd: a propensity score analysis using the united states renal data system
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127411/
https://www.ncbi.nlm.nih.gov/pubmed/30197971
http://dx.doi.org/10.1016/j.ekir.2018.04.005
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