Evidence map›Paper›PMID 38934045›Full record

ArticleKidney research and clinical practice2025

A novel allocation scheme for deceased donor kidneys to balance equity and utility.

Jin Hyeog Lee, Jun Hye Seo, Tai Yeon Koo, Jang Hee Cho, Kyung Pyo Kang, Jung Eun Lee, Kook Hwan Oh, Beom Seok Kim, Jaeseok Yang

Abstract read
In one paragraph

Article in Kidney research and clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jin Hyeog LeeDivision of Nephrology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jun Hye SeoDivision of Nephrology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Tai Yeon KooDivision of Nephrology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea.
Jang Hee ChoDepartment of Internal Medicine, Kyungpook National University Hospital, Kyungpook National University School of Medicine, Daegu, Republic of Korea.
Kyung Pyo KangDepartment of Internal Medicine, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Jung Eun LeeDivision of Nephrology, Department of Internal Medicine, Yongin Severance Hospital, Yongin, Republic of Korea.
Kook Hwan OhDivision of Nephrology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Beom Seok KimDivision of Nephrology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jaeseok YangDivision of Nephrology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.

Funding

National Institute of Organ, Tissue and Blood Management 20232400C1B-00
6 · The paper itself

Abstract

backgroundPatients with sensitization and blood type O experience increased waiting times for deceased-donor kidney transplantation (DDKT). While allocation benefits are needed to resolve inequity in DDKT opportunity, whether DDKT has comparable outcomes in this disadvantaged population requires further study. This study assessed these outcomes and developed a new allocation system that balances equity and utility.

methodsPatients from national and hospital cohorts from two centers in Korea were categorized as B1 to B4 (according to panel reactive antibody [PRA] positivity and ABO blood type) and A1 to A4 (based on the maximal PRA% and blood type), respectively. Competing risk and Cox regression analyses were performed to assess the effects of PRA and blood type on graft failure and mortality, respectively. Based on DDKT opportunities and posttransplant outcomes, a new scoring system for kidney allocation was developed.

resultsThe national and hospital cohorts included 3,311 and 819 patients, respectively, who underwent DDKT. Despite the disparities in DDKT opportunities, the graft failure rates and mortality did not differ among the different PRA and blood type groups. Furthermore, posttransplantation outcomes did not differ according to the categories with different DDKT opportunities. A new scoring system to provide additional points to disadvantaged populations was developed based on the hazard ratios for DDKT.

conclusionA new allocation approach based on PRA and ABO blood types offers benefits to disadvantaged patients with fewer DDKT opportunities and could enhance equity without sacrificing utility in Korea, which has a long waiting time for DDKT.

Indexed as

ABO blood-group systemDeceased donor kidney transplantationKidney allocation systemPanel reactive antibodySensitization

Identifiers

PMID38934045
PMCPMC12417575

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.