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Kidney transplant Medicare payments and length of stay: associations with comorbidities and organ quality

INTRODUCTION: We investigated associations between pre-transplant comorbidities, length of stay (LOS) and Medicare payments for transplant hospitalization. MATERIAL AND METHODS: We examined United States Renal Data System for 24,963 recipients of first deceased-donor kidney transplants in 1995-2002...

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Autores principales: Machnicki, Gerardo, Lentine, Krista L., Salvalaggio, Paolo R., Burroughs, Thomas E., Brennan, Daniel C., Schnitzler, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3258708/
https://www.ncbi.nlm.nih.gov/pubmed/22291768
http://dx.doi.org/10.5114/aoms.2011.22079
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author Machnicki, Gerardo
Lentine, Krista L.
Salvalaggio, Paolo R.
Burroughs, Thomas E.
Brennan, Daniel C.
Schnitzler, Mark A.
author_facet Machnicki, Gerardo
Lentine, Krista L.
Salvalaggio, Paolo R.
Burroughs, Thomas E.
Brennan, Daniel C.
Schnitzler, Mark A.
author_sort Machnicki, Gerardo
collection PubMed
description INTRODUCTION: We investigated associations between pre-transplant comorbidities, length of stay (LOS) and Medicare payments for transplant hospitalization. MATERIAL AND METHODS: We examined United States Renal Data System for 24,963 recipients of first deceased-donor kidney transplants in 1995-2002 for whom Medicare was the primary payer for at least a year pre-transplant. Pre-transplant ICD-9-CM codes from claims were classified with the Charlson and Elixhauser algorithms. Regression models for payments and LOS included: 1) baseline recipient, donor and transplant factors from the Organ Procurement and Transplant Network (OPTN), 2) OPTN variables and individual comorbidities and 3) OPTN variables and counts of Charlson or Elixhauser comorbidities. RESULTS: Factors most strongly associated with LOS were type I diabetes, cold ischemia time > 36 h, expanded criteria donor (ECD) and donation after cardiac death (DCD). Except for ECD, each was associated with increased payments. Upper respiratory disease, liver disease, peptic ulcer disease, diabetes, cancer and other diseases were also associated with increased LOS and payments. Each additional Charlson comorbidity increased LOS by 2.94% and payments by $471 (Elixhauser results: 1.71% for LOS, $277 for payments). Use of ECD or DCD organs were associated with 10-15% higher LOS and 5% increased Medicare payments for DCD. CONCLUSIONS: This methodology could be used to explore if Medicare reimbursement for transplantation of higher-risk recipients and using non-standard organs is financially adequate and to analyze related questions in other healthcare systems.
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spelling pubmed-32587082012-01-30 Kidney transplant Medicare payments and length of stay: associations with comorbidities and organ quality Machnicki, Gerardo Lentine, Krista L. Salvalaggio, Paolo R. Burroughs, Thomas E. Brennan, Daniel C. Schnitzler, Mark A. Arch Med Sci Clinical Research INTRODUCTION: We investigated associations between pre-transplant comorbidities, length of stay (LOS) and Medicare payments for transplant hospitalization. MATERIAL AND METHODS: We examined United States Renal Data System for 24,963 recipients of first deceased-donor kidney transplants in 1995-2002 for whom Medicare was the primary payer for at least a year pre-transplant. Pre-transplant ICD-9-CM codes from claims were classified with the Charlson and Elixhauser algorithms. Regression models for payments and LOS included: 1) baseline recipient, donor and transplant factors from the Organ Procurement and Transplant Network (OPTN), 2) OPTN variables and individual comorbidities and 3) OPTN variables and counts of Charlson or Elixhauser comorbidities. RESULTS: Factors most strongly associated with LOS were type I diabetes, cold ischemia time > 36 h, expanded criteria donor (ECD) and donation after cardiac death (DCD). Except for ECD, each was associated with increased payments. Upper respiratory disease, liver disease, peptic ulcer disease, diabetes, cancer and other diseases were also associated with increased LOS and payments. Each additional Charlson comorbidity increased LOS by 2.94% and payments by $471 (Elixhauser results: 1.71% for LOS, $277 for payments). Use of ECD or DCD organs were associated with 10-15% higher LOS and 5% increased Medicare payments for DCD. CONCLUSIONS: This methodology could be used to explore if Medicare reimbursement for transplantation of higher-risk recipients and using non-standard organs is financially adequate and to analyze related questions in other healthcare systems. Termedia Publishing House 2011-04 2011-05-17 /pmc/articles/PMC3258708/ /pubmed/22291768 http://dx.doi.org/10.5114/aoms.2011.22079 Text en Copyright © 2011 Termedia & Banach http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Research
Machnicki, Gerardo
Lentine, Krista L.
Salvalaggio, Paolo R.
Burroughs, Thomas E.
Brennan, Daniel C.
Schnitzler, Mark A.
Kidney transplant Medicare payments and length of stay: associations with comorbidities and organ quality
title Kidney transplant Medicare payments and length of stay: associations with comorbidities and organ quality
title_full Kidney transplant Medicare payments and length of stay: associations with comorbidities and organ quality
title_fullStr Kidney transplant Medicare payments and length of stay: associations with comorbidities and organ quality
title_full_unstemmed Kidney transplant Medicare payments and length of stay: associations with comorbidities and organ quality
title_short Kidney transplant Medicare payments and length of stay: associations with comorbidities and organ quality
title_sort kidney transplant medicare payments and length of stay: associations with comorbidities and organ quality
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3258708/
https://www.ncbi.nlm.nih.gov/pubmed/22291768
http://dx.doi.org/10.5114/aoms.2011.22079
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