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The Effect of Transplant Volume and Patient Case Mix on Center Variation in Kidney Transplantation Outcomes

BACKGROUND: Kidney transplantation is the optimal treatment for patients with end-stage renal disease; however, long-term outcomes remain suboptimal. OBJECTIVE: The objectives of our study were to examine the variation in survival rates and determine whether center volume and case mix are associated...

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Autores principales: Tsampalieros, Anne, Fergusson, Dean, Dixon, Stephanie, English, Shane W., Manuel, Douglas, Van Walraven, Carl, Taljaard, Monica, Knoll, Greg A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755637/
https://www.ncbi.nlm.nih.gov/pubmed/31565233
http://dx.doi.org/10.1177/2054358119875462
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author Tsampalieros, Anne
Fergusson, Dean
Dixon, Stephanie
English, Shane W.
Manuel, Douglas
Van Walraven, Carl
Taljaard, Monica
Knoll, Greg A.
author_facet Tsampalieros, Anne
Fergusson, Dean
Dixon, Stephanie
English, Shane W.
Manuel, Douglas
Van Walraven, Carl
Taljaard, Monica
Knoll, Greg A.
author_sort Tsampalieros, Anne
collection PubMed
description BACKGROUND: Kidney transplantation is the optimal treatment for patients with end-stage renal disease; however, long-term outcomes remain suboptimal. OBJECTIVE: The objectives of our study were to examine the variation in survival rates and determine whether center volume and case mix are associated with transplant outcomes and explain the variation across kidney transplant centers in Ontario, Canada. DESIGN: This was a population-based cohort study using health care administrative databases. SETTING: A total of 5 transplant centers across Ontario, Canada. PATIENTS: We included adults (≥18 years) undergoing primary, solitary kidney transplantation between January 1, 2000 to December 31, 2013. MEASUREMENTS: The co-primary outcomes were death-censored graft loss and total mortality. METHODS: Multivariable Cox proportional hazards regression was used to assess potential associations and describe variation, using hazard ratios (HRs) with 95% confidence intervals (CIs) for each center relative to the average across all centers. RESULTS: The study cohort included 5037 patients followed for a median of 5.3 years, interquartile range (2.7-8.6). In multivariable models, recipient age, body mass index, Charlson Index, time on dialysis, donor type, and age were found to be significantly associated with death-censored graft loss, and recipient age and sex, Charlson Index, time on dialysis, donor age, and time era of transplant were associated with total mortality. There was statistically significant variation across centers observed for death-censored graft loss (P = .04) with HRs ranging from 0.72 to 1.22. However, neither adjusting for case mix nor center volume meaningfully changed the HRs reflecting each center-specific effect. There was a tendency toward reduced risk of graft loss (HR, per additional 25 patients, 0.90 [95% CI, 0.78-1.04]) in centers with higher volumes. For total mortality, there was statistically significant variation across centers with HRs ranging from 0.82 to 1.13 (P = .04); however, neither adjusting for case mix or center volume meaningfully changed the HRs. Center volume was not significantly associated with total mortality (HR, per additional 25 patients, 1.04 [95% CI, 0.90-1.20]). LIMITATIONS: This study was limited by the small number of centers included. CONCLUSIONS: Outcomes differ across the 5 transplant centers in Ontario. We did not find any strong support for our hypotheses that case mix or center volume is responsible for these differences.
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spelling pubmed-67556372019-09-27 The Effect of Transplant Volume and Patient Case Mix on Center Variation in Kidney Transplantation Outcomes Tsampalieros, Anne Fergusson, Dean Dixon, Stephanie English, Shane W. Manuel, Douglas Van Walraven, Carl Taljaard, Monica Knoll, Greg A. Can J Kidney Health Dis Original Research Article BACKGROUND: Kidney transplantation is the optimal treatment for patients with end-stage renal disease; however, long-term outcomes remain suboptimal. OBJECTIVE: The objectives of our study were to examine the variation in survival rates and determine whether center volume and case mix are associated with transplant outcomes and explain the variation across kidney transplant centers in Ontario, Canada. DESIGN: This was a population-based cohort study using health care administrative databases. SETTING: A total of 5 transplant centers across Ontario, Canada. PATIENTS: We included adults (≥18 years) undergoing primary, solitary kidney transplantation between January 1, 2000 to December 31, 2013. MEASUREMENTS: The co-primary outcomes were death-censored graft loss and total mortality. METHODS: Multivariable Cox proportional hazards regression was used to assess potential associations and describe variation, using hazard ratios (HRs) with 95% confidence intervals (CIs) for each center relative to the average across all centers. RESULTS: The study cohort included 5037 patients followed for a median of 5.3 years, interquartile range (2.7-8.6). In multivariable models, recipient age, body mass index, Charlson Index, time on dialysis, donor type, and age were found to be significantly associated with death-censored graft loss, and recipient age and sex, Charlson Index, time on dialysis, donor age, and time era of transplant were associated with total mortality. There was statistically significant variation across centers observed for death-censored graft loss (P = .04) with HRs ranging from 0.72 to 1.22. However, neither adjusting for case mix nor center volume meaningfully changed the HRs reflecting each center-specific effect. There was a tendency toward reduced risk of graft loss (HR, per additional 25 patients, 0.90 [95% CI, 0.78-1.04]) in centers with higher volumes. For total mortality, there was statistically significant variation across centers with HRs ranging from 0.82 to 1.13 (P = .04); however, neither adjusting for case mix or center volume meaningfully changed the HRs. Center volume was not significantly associated with total mortality (HR, per additional 25 patients, 1.04 [95% CI, 0.90-1.20]). LIMITATIONS: This study was limited by the small number of centers included. CONCLUSIONS: Outcomes differ across the 5 transplant centers in Ontario. We did not find any strong support for our hypotheses that case mix or center volume is responsible for these differences. SAGE Publications 2019-09-20 /pmc/articles/PMC6755637/ /pubmed/31565233 http://dx.doi.org/10.1177/2054358119875462 Text en © The Author(s) 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Article
Tsampalieros, Anne
Fergusson, Dean
Dixon, Stephanie
English, Shane W.
Manuel, Douglas
Van Walraven, Carl
Taljaard, Monica
Knoll, Greg A.
The Effect of Transplant Volume and Patient Case Mix on Center Variation in Kidney Transplantation Outcomes
title The Effect of Transplant Volume and Patient Case Mix on Center Variation in Kidney Transplantation Outcomes
title_full The Effect of Transplant Volume and Patient Case Mix on Center Variation in Kidney Transplantation Outcomes
title_fullStr The Effect of Transplant Volume and Patient Case Mix on Center Variation in Kidney Transplantation Outcomes
title_full_unstemmed The Effect of Transplant Volume and Patient Case Mix on Center Variation in Kidney Transplantation Outcomes
title_short The Effect of Transplant Volume and Patient Case Mix on Center Variation in Kidney Transplantation Outcomes
title_sort effect of transplant volume and patient case mix on center variation in kidney transplantation outcomes
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755637/
https://www.ncbi.nlm.nih.gov/pubmed/31565233
http://dx.doi.org/10.1177/2054358119875462
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