Evidence map›Paper›PMID 40160491›Full record

ArticleKidney diseases (Basel, Switzerland)

A Prognostic Index for Deceased Donor Kidneys and Criteria for Identifying Suitable Candidates for Kidney Transplantation from Expanded Criteria Donors with Prolonged Waiting Times.

Tai Yeon Koo, Joongyub Lee, Omi Na, Yonggu Lee, Jong Cheol Jeong, Jaeseok Yang

Abstract read
In one paragraph

Article in Kidney diseases (Basel, Switzerland). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Tai Yeon KooDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Joongyub LeeDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Omi NaDepartment of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.
Yonggu LeeDepartment of Internal Medicine, Hanyang University Guri Hospital, Guri, Republic of Korea.
Jong Cheol JeongDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Jaeseok YangDepartment of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The kidney donor profile index (KDPI) is a valuable prognostic tool in deceased donor kidney transplantation (DDKT), while its optimization for each country using local data is essential. It remains unclear which patients derive survival benefits from expanded criteria donor (ECD) DDKT compared to waitlist or standard criteria donor (SCD) DDKT, particularly in the context of long waiting times. This study aimed to develop a prognostic index for donor kidneys and propose criteria to identify suitable candidates for ECD DDKT in Korea. Methods: Two prediction models were developed using data from two cohorts based on national databases (the Korean Network for Organ Sharing and the National Health Insurance Data Sharing Service): cohort for the prediction of graft prognosis ( Results: The Korean KDPI (K-KDPI) comprises five donor factors (age, height, diabetes mellitus, serum creatinine levels, and hepatitis C virus), associated with graft failure. The discriminatory ability of the K-KDPI for graft outcomes surpassed that of the US KDPI and dichotomous ECD criteria. ECD kidneys (K-KDPI ≥70%) showed worse allograft survival compared to SCD kidneys (K-KDPI <70%). Candidates aged ≥40 years, with negative panel reactive antibody, and without diabetes mellitus had a significantly lower mortality risk with ECD DDKT than with waitlist-or-SCD DDKT, making them suitable for ECD DDKT. Conclusion: The K-KDPI and criteria for identifying suitable ECD recipients are expected to improve the quality assessment and efficient utilization of ECD kidneys in Korea with long waiting times.

Indexed as

Deceased donor kidney transplantationExpanded criteria donorKidney donor profile indexPrognostic indexSuitable candidate

Identifiers

PMID40160491
PMCPMC11952819

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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.