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Geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis

INTRODUCTION: Preemptive wait‐listing of deceased donor kidney transplant (DDKT) candidates before maintenance dialysis increases the likelihood of transplantation and improves outcomes among transplant patients. Previous studies have identified substantial disparities in rates of preemptive listing...

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Autores principales: Buchalter, R. Blake, Huml, Anne M., Poggio, Emilio D., Schold, Jesse D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078213/
https://www.ncbi.nlm.nih.gov/pubmed/36102154
http://dx.doi.org/10.1111/ctr.14821
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author Buchalter, R. Blake
Huml, Anne M.
Poggio, Emilio D.
Schold, Jesse D.
author_facet Buchalter, R. Blake
Huml, Anne M.
Poggio, Emilio D.
Schold, Jesse D.
author_sort Buchalter, R. Blake
collection PubMed
description INTRODUCTION: Preemptive wait‐listing of deceased donor kidney transplant (DDKT) candidates before maintenance dialysis increases the likelihood of transplantation and improves outcomes among transplant patients. Previous studies have identified substantial disparities in rates of preemptive listing, but a gap exists in examining geographic sources of disparities, particularly for sub‐regional units. Identifying small area hot spots where delayed listing is particularly prevalent may more effectively inform both health policy and regionally appropriate interventions. METHODS: We conducted a retrospective cohort study utilizing 2010–2020 Scientific Registry of Transplant Recipients (SRTR) data for all DDKT candidates to examine overall and race‐stratified geospatial hot spots of post‐dialysis wait‐listing in U.S. zip code tabulation areas (ZCTA). Three geographic clustering methods were utilized to identify robust statistically significant hot spots of post‐dialysis wait‐listing. RESULTS: Novel sub‐regional hot spots were identified in the southeast, southwest, Appalachia, and California, with a majority existing in the southeast. Race‐stratified results were more nuanced, but broadly reflected similar patterns. Comparing transplant candidates in hot spots to candidates in non‐clusters indicated a strong association between residence in hot spots and high area deprivation (OR: 6.76, 95%CI: 6.52‐7.02), indicating that improving access healthcare in these areas may be particularly beneficial. CONCLUSION: Our study identified overall and race‐stratified hot spots with low rates of preemptive wait list placement in the U.S., which may be useful for prospective healthcare policy and interventions via targeting of these narrowly defined geographical areas.
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spelling pubmed-100782132023-04-07 Geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis Buchalter, R. Blake Huml, Anne M. Poggio, Emilio D. Schold, Jesse D. Clin Transplant Original Article INTRODUCTION: Preemptive wait‐listing of deceased donor kidney transplant (DDKT) candidates before maintenance dialysis increases the likelihood of transplantation and improves outcomes among transplant patients. Previous studies have identified substantial disparities in rates of preemptive listing, but a gap exists in examining geographic sources of disparities, particularly for sub‐regional units. Identifying small area hot spots where delayed listing is particularly prevalent may more effectively inform both health policy and regionally appropriate interventions. METHODS: We conducted a retrospective cohort study utilizing 2010–2020 Scientific Registry of Transplant Recipients (SRTR) data for all DDKT candidates to examine overall and race‐stratified geospatial hot spots of post‐dialysis wait‐listing in U.S. zip code tabulation areas (ZCTA). Three geographic clustering methods were utilized to identify robust statistically significant hot spots of post‐dialysis wait‐listing. RESULTS: Novel sub‐regional hot spots were identified in the southeast, southwest, Appalachia, and California, with a majority existing in the southeast. Race‐stratified results were more nuanced, but broadly reflected similar patterns. Comparing transplant candidates in hot spots to candidates in non‐clusters indicated a strong association between residence in hot spots and high area deprivation (OR: 6.76, 95%CI: 6.52‐7.02), indicating that improving access healthcare in these areas may be particularly beneficial. CONCLUSION: Our study identified overall and race‐stratified hot spots with low rates of preemptive wait list placement in the U.S., which may be useful for prospective healthcare policy and interventions via targeting of these narrowly defined geographical areas. John Wiley and Sons Inc. 2022-09-28 2022-12 /pmc/articles/PMC10078213/ /pubmed/36102154 http://dx.doi.org/10.1111/ctr.14821 Text en © 2022 The Authors. Clinical Transplantation published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Article
Buchalter, R. Blake
Huml, Anne M.
Poggio, Emilio D.
Schold, Jesse D.
Geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis
title Geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis
title_full Geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis
title_fullStr Geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis
title_full_unstemmed Geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis
title_short Geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis
title_sort geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078213/
https://www.ncbi.nlm.nih.gov/pubmed/36102154
http://dx.doi.org/10.1111/ctr.14821
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