Abstract 4367305: Adult heart transplant practice changes: Early and late impact of the current organ allocation system in the United States

Introduction: After the current allocation system was implemented in 2018, dynamic changes have occurred around heart transplant (HTx) practice such as new donor heart management strategies. The aim of this study is to analyze the practice changes seen between two eras: early (2018-21) vs late (2021-23) after implementation of the current allocation system. Research Questions How did the national HTx practice change in these few years? Methods: Using the United Network of Organ Sharing (UNOS) database, we analyzed singe-organ adult HTx performed under the current allocation system. Multi-organ transplants and repeat HTx were excluded. All donor-recipient matches were divided into two eras. The early era (October 2018 to June 2021) versus the late era (July, 2021 to December, 2023). Donor after cardiac death (DCD) HTx, recipient status at transplant offer, cumulative incidence to HTx, 1 year survival post HTx were analyzed. Continuous variables were examined using t-tests or Mann-Whitney U test and categorical variables were compared using Pearson’s χ2 test. Kaplan-Meier and cumulative incidence curves were used to compare the outcomes between early and late eras, and a Fine and Gray competing risk regression was used to analyze association. Results: The total cohort had 12,402 donor-recipient pairs (6,269 early, and 6,133 late era). Donor after cardiac death (DCD) HTx has increased from 2.4% to 9.5% (Fig 1B). The late era had shorter median waitlist days in comparison to the early era (24 vs 40 days; P <.001). The number of recipients holding status 1 and 2 at transplant increased in the late era, whereas status 3 and 4 decreased (Fig 1A). Patients in status 2 with intra-aortic balloon pump decreased from 69.1% to 51.1%, whereas those with endovascular mechanical circulatory support had increased from 12.5% to 33.3% (Fig 2). Survival at 1 year post HTx was comparable between the two eras (early 90.7% vs late 91.5%; P =0.14; Fig 3). After adjusting for potential confounders and accounting for competing risks, candidates in the late era were 12.1% more likely to receive a HTx compared to the early era (HR = 1.121; 95% CI, 1.068–1.176; P <.001). Conclusion: Recent practices have shown an increase in DCD HTx, increase HTx in higher status (1 and 2) recipients which led to a higher incidence of HTx performed with comparable 1 year survival. HTx in candidates listed in status 3 and 4, such as those with a durable LVAD, has continued to decrease over time.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4367305
Primary Topic
Transplantation: Methods and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4367305: Adult heart transplant practice changes: Early and late impact of the current organ allocation system in the United States

Emma J. Birks, Jin Woo Chung, Michael Sekela, Vasili Katsadouros et al.
Circulation
Transplantation: Methods and Outcomes
article

Abstract 4367305: Adult heart transplant practice changes: Early and late impact of the current organ allocation system in the United States

Emma J. Birks, Jin Woo Chung, Michael Sekela, Vasili Katsadouros, Anna Johnson, Masashi Kawabori, Matthias Loebe
article en

Abstract

Introduction: After the current allocation system was implemented in 2018, dynamic changes have occurred around heart transplant (HTx) practice such as new donor heart management strategies. The aim of this study is to analyze the practice changes seen between two eras: early (2018-21) vs late (2021-23) after implementation of the current allocation system. Research Questions How did the national HTx practice change in these few years? Methods: Using the United Network of Organ Sharing (UNOS) database, we analyzed singe-organ adult HTx performed under the current allocation system. Multi-organ transplants and repeat HTx were excluded. All donor-recipient matches were divided into two eras. The early era (October 2018 to June 2021) versus the late era (July, 2021 to December, 2023). Donor after cardiac death (DCD) HTx, recipient status at transplant offer, cumulative incidence to HTx, 1 year survival post HTx were analyzed. Continuous variables were examined using t-tests or Mann-Whitney U test and categorical variables were compared using Pearson’s χ2 test. Kaplan-Meier and cumulative incidence curves were used to compare the outcomes between early and late eras, and a Fine and Gray competing risk regression was used to analyze association. Results: The total cohort had 12,402 donor-recipient pairs (6,269 early, and 6,133 late era). Donor after cardiac death (DCD) HTx has increased from 2.4% to 9.5% (Fig 1B). The late era had shorter median waitlist days in comparison to the early era (24 vs 40 days; P <.001). The number of recipients holding status 1 and 2 at transplant increased in the late era, whereas status 3 and 4 decreased (Fig 1A). Patients in status 2 with intra-aortic balloon pump decreased from 69.1% to 51.1%, whereas those with endovascular mechanical circulatory support had increased from 12.5% to 33.3% (Fig 2). Survival at 1 year post HTx was comparable between the two eras (early 90.7% vs late 91.5%; P =0.14; Fig 3). After adjusting for potential confounders and accounting for competing risks, candidates in the late era were 12.1% more likely to receive a HTx compared to the early era (HR = 1.121; 95% CI, 1.068–1.176; P <.001). Conclusion: Recent practices have shown an increase in DCD HTx, increase HTx in higher status (1 and 2) recipients which led to a higher incidence of HTx performed with comparable 1 year survival. HTx in candidates listed in status 3 and 4, such as those with a durable LVAD, has continued to decrease over time.

CirculationVol. 152(Suppl_3)
University of Kentucky (US)
Openalex Percentile: Top 50%
Transplantation: Methods and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.