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Impact of New UNOS Allocation Criteria on Heart Transplant Practices and Outcomes

BACKGROUND. In October 2018, a new heart allocation policy was implemented with intent of prioritizing the sickest patients and decreasing waitlist time. We examined the effects of the new policy on transplant practices and outcomes 1 year before and 1 year after the change. METHODS. Transplant reci...

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Autores principales: Liu, Jason, Yang, Bin Q., Itoh, Akinobu, Masood, Mohammed Faraz, Hartupee, Justin C., Schilling, Joel D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738116/
https://www.ncbi.nlm.nih.gov/pubmed/33335981
http://dx.doi.org/10.1097/TXD.0000000000001088
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author Liu, Jason
Yang, Bin Q.
Itoh, Akinobu
Masood, Mohammed Faraz
Hartupee, Justin C.
Schilling, Joel D.
author_facet Liu, Jason
Yang, Bin Q.
Itoh, Akinobu
Masood, Mohammed Faraz
Hartupee, Justin C.
Schilling, Joel D.
author_sort Liu, Jason
collection PubMed
description BACKGROUND. In October 2018, a new heart allocation policy was implemented with intent of prioritizing the sickest patients and decreasing waitlist time. We examined the effects of the new policy on transplant practices and outcomes 1 year before and 1 year after the change. METHODS. Transplant recipients from October 2017 to September 2019 at our institution were identified and divided into 2 cohorts, a preallocation and postallocation criteria change. Patient demographics, clinical data, and bridging strategy were assessed. Early outcomes including ischemic time, severe primary graft dysfunction, need for renal replacement therapy, and duration of hospital stay were investigated. RESULTS. In the 12 months before the change, 38 patients were transplanted as compared to 33 patients in the 12 months after the change. The average wait-time to transplant decreased after the allocation change (49 versus 313 d, P = 0.02). Patients were more likely to be bridged with an intra-aortic balloon pump (45% versus 3%) and less likely to be supported with a durable left ventricular assist device (LVAD) after the change (24% versus 82%). There was an increase in total ischemic time after the change (177 versus 117 min, P ≤ 0.01). There were no significant differences in other early posttransplant outcomes. CONCLUSIONS. Implementation of the new allocation system for heart transplantation resulted in dramatic changes in the bridging strategy utilized at our institution. Temporary mechanical support usage increased following the change and the number of recipients supported with durable LVADs decreased. Early posttransplant outcomes appear similar.
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spelling pubmed-77381162020-12-16 Impact of New UNOS Allocation Criteria on Heart Transplant Practices and Outcomes Liu, Jason Yang, Bin Q. Itoh, Akinobu Masood, Mohammed Faraz Hartupee, Justin C. Schilling, Joel D. Transplant Direct Heart Transplantation BACKGROUND. In October 2018, a new heart allocation policy was implemented with intent of prioritizing the sickest patients and decreasing waitlist time. We examined the effects of the new policy on transplant practices and outcomes 1 year before and 1 year after the change. METHODS. Transplant recipients from October 2017 to September 2019 at our institution were identified and divided into 2 cohorts, a preallocation and postallocation criteria change. Patient demographics, clinical data, and bridging strategy were assessed. Early outcomes including ischemic time, severe primary graft dysfunction, need for renal replacement therapy, and duration of hospital stay were investigated. RESULTS. In the 12 months before the change, 38 patients were transplanted as compared to 33 patients in the 12 months after the change. The average wait-time to transplant decreased after the allocation change (49 versus 313 d, P = 0.02). Patients were more likely to be bridged with an intra-aortic balloon pump (45% versus 3%) and less likely to be supported with a durable left ventricular assist device (LVAD) after the change (24% versus 82%). There was an increase in total ischemic time after the change (177 versus 117 min, P ≤ 0.01). There were no significant differences in other early posttransplant outcomes. CONCLUSIONS. Implementation of the new allocation system for heart transplantation resulted in dramatic changes in the bridging strategy utilized at our institution. Temporary mechanical support usage increased following the change and the number of recipients supported with durable LVADs decreased. Early posttransplant outcomes appear similar. Lippincott Williams & Wilkins 2020-12-15 /pmc/articles/PMC7738116/ /pubmed/33335981 http://dx.doi.org/10.1097/TXD.0000000000001088 Text en Copyright © 2020 The Author(s). Transplantation Direct. Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Heart Transplantation
Liu, Jason
Yang, Bin Q.
Itoh, Akinobu
Masood, Mohammed Faraz
Hartupee, Justin C.
Schilling, Joel D.
Impact of New UNOS Allocation Criteria on Heart Transplant Practices and Outcomes
title Impact of New UNOS Allocation Criteria on Heart Transplant Practices and Outcomes
title_full Impact of New UNOS Allocation Criteria on Heart Transplant Practices and Outcomes
title_fullStr Impact of New UNOS Allocation Criteria on Heart Transplant Practices and Outcomes
title_full_unstemmed Impact of New UNOS Allocation Criteria on Heart Transplant Practices and Outcomes
title_short Impact of New UNOS Allocation Criteria on Heart Transplant Practices and Outcomes
title_sort impact of new unos allocation criteria on heart transplant practices and outcomes
topic Heart Transplantation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738116/
https://www.ncbi.nlm.nih.gov/pubmed/33335981
http://dx.doi.org/10.1097/TXD.0000000000001088
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