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Factors Influencing Long-Term Patient and Allograft Outcomes in Elderly Kidney Transplant Recipients
INTRODUCTION: Individuals aged ≥65 years are increasingly prevalent on the waitlist for kidney transplantation, yet evidence on recipient and donor factors that define optimal outcomes in elderly patients after kidney transplantation is scarce. METHODS: We used multivariable Cox regression modeling...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938063/ https://www.ncbi.nlm.nih.gov/pubmed/33732987 http://dx.doi.org/10.1016/j.ekir.2020.11.035 |
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author | So, Sarah Au, Eric H.K. Lim, Wai H. Lee, Vincent W.S. Wong, Germaine |
author_facet | So, Sarah Au, Eric H.K. Lim, Wai H. Lee, Vincent W.S. Wong, Germaine |
author_sort | So, Sarah |
collection | PubMed |
description | INTRODUCTION: Individuals aged ≥65 years are increasingly prevalent on the waitlist for kidney transplantation, yet evidence on recipient and donor factors that define optimal outcomes in elderly patients after kidney transplantation is scarce. METHODS: We used multivariable Cox regression modeling to determine the factors associated with all-cause death, death with a functioning graft, and overall and death-censored graft survival, using data from the Australia and New Zealand Dialysis and Transplant (ANZDATA) registry. RESULTS: A total of 802 kidney transplant recipients aged ≥65 years underwent their first transplantation between June 2006 and December 2016. Median age at transplantation was 68 years (interquartile range = 66−69 years). The 1-year and 5-year overall patient and graft survivals (95% confidence interval [CI]) were 95.1 (93.5−96.7) and 79.0 (75.1−82.9), and 92.9 (91.1−94.7) and 75.4 (71.3−79.5), respectively. Factors associated with higher risks of all-cause death included prevalent coronary artery disease (adjusted hazard ratio [95% confidence interval] = 1.47 [1.03–2.11]), cerebrovascular disease (1.99 [1.26–3.16]), increasing graft ischemic time (1.06 per hour [1.03–1.09]), donor age (1.02 per year [1.01–1.03]), delayed graft function (1.64 [1.13−2.39]), and peritoneal dialysis pretransplantation (1.71 [1.17–2.51]). CONCLUSION: Prevalent vascular disease and peritoneal dialysis as a pretransplantation dialysis modality are risk factors associated with poorer outcomes in transplant recipients aged ≥65 years. Careful selection and evaluation of potential candidates may improve graft and patient outcomes in older patients. |
format | Online Article Text |
id | pubmed-7938063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-79380632021-03-16 Factors Influencing Long-Term Patient and Allograft Outcomes in Elderly Kidney Transplant Recipients So, Sarah Au, Eric H.K. Lim, Wai H. Lee, Vincent W.S. Wong, Germaine Kidney Int Rep Clinical Research INTRODUCTION: Individuals aged ≥65 years are increasingly prevalent on the waitlist for kidney transplantation, yet evidence on recipient and donor factors that define optimal outcomes in elderly patients after kidney transplantation is scarce. METHODS: We used multivariable Cox regression modeling to determine the factors associated with all-cause death, death with a functioning graft, and overall and death-censored graft survival, using data from the Australia and New Zealand Dialysis and Transplant (ANZDATA) registry. RESULTS: A total of 802 kidney transplant recipients aged ≥65 years underwent their first transplantation between June 2006 and December 2016. Median age at transplantation was 68 years (interquartile range = 66−69 years). The 1-year and 5-year overall patient and graft survivals (95% confidence interval [CI]) were 95.1 (93.5−96.7) and 79.0 (75.1−82.9), and 92.9 (91.1−94.7) and 75.4 (71.3−79.5), respectively. Factors associated with higher risks of all-cause death included prevalent coronary artery disease (adjusted hazard ratio [95% confidence interval] = 1.47 [1.03–2.11]), cerebrovascular disease (1.99 [1.26–3.16]), increasing graft ischemic time (1.06 per hour [1.03–1.09]), donor age (1.02 per year [1.01–1.03]), delayed graft function (1.64 [1.13−2.39]), and peritoneal dialysis pretransplantation (1.71 [1.17–2.51]). CONCLUSION: Prevalent vascular disease and peritoneal dialysis as a pretransplantation dialysis modality are risk factors associated with poorer outcomes in transplant recipients aged ≥65 years. Careful selection and evaluation of potential candidates may improve graft and patient outcomes in older patients. Elsevier 2020-12-13 /pmc/articles/PMC7938063/ /pubmed/33732987 http://dx.doi.org/10.1016/j.ekir.2020.11.035 Text en Crown Copyright © 2020 Published by Elsevier Inc. on behalf of the International Society of Nephrology. 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 So, Sarah Au, Eric H.K. Lim, Wai H. Lee, Vincent W.S. Wong, Germaine Factors Influencing Long-Term Patient and Allograft Outcomes in Elderly Kidney Transplant Recipients |
title | Factors Influencing Long-Term Patient and Allograft Outcomes in Elderly Kidney Transplant Recipients |
title_full | Factors Influencing Long-Term Patient and Allograft Outcomes in Elderly Kidney Transplant Recipients |
title_fullStr | Factors Influencing Long-Term Patient and Allograft Outcomes in Elderly Kidney Transplant Recipients |
title_full_unstemmed | Factors Influencing Long-Term Patient and Allograft Outcomes in Elderly Kidney Transplant Recipients |
title_short | Factors Influencing Long-Term Patient and Allograft Outcomes in Elderly Kidney Transplant Recipients |
title_sort | factors influencing long-term patient and allograft outcomes in elderly kidney transplant recipients |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938063/ https://www.ncbi.nlm.nih.gov/pubmed/33732987 http://dx.doi.org/10.1016/j.ekir.2020.11.035 |
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