Evidence map›Paper›PMID 35769528›Full record

ArticleKorean journal of transplantation2021

Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics.

Tai Yeon Koo, Joongyub Lee, Jaeseok Yang

Abstract read
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Article in Korean journal of transplantation, 2021. 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
–field-weighted citation impact
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

3 authors.

Tai Yeon KooDepartment of Internal Medicine, Seongnam Citizens Medical Center, Seongnam, Korea.ORCID https://orcid.org/0000-0003-2014-7723
Joongyub LeeDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-2784-3772
Jaeseok YangDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5378-7797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The new kidney allocation system in the United States has introduced longevity matching, which gives priority to allocating the best quality organs to wait-listed candidates with the longest predicted survival for the efficient utilization of organs that are of limited availability. The estimated post-transplant survival (EPTS) score was developed in the United States to risk-stratify all wait-listed patients. However, prognostic indices used in Western countries were derived from data that may be different for Korea and do not necessarily reflect prognostic values for Korean deceased donor kidney transplantation. Prognostic indices for Korean wait-listed candidates therefore need to be developed from Korean data. Methods: We analyzed 6,731 adult solitary kidney transplant patients for candidate risk prediction using the national data from the Korean Network for Organ Sharing (KONOS) and National Health Insurance Data Sharing Service (NHISS). Cox regression analysis was used to model the risk of patient death. Results: The Korean EPTS (K-EPTS) score was developed based on four recipient parameters (age, diabetes mellitus, hepatitis C virus, and duration of dialysis) that showed a significant association with post-transplant survival. K-EPTS scores showed good discrimination (C-statistics 0.690; 95% confidence interval, 0.666-0.715). Moreover, the ability of the K-EPTS score to discriminate patient survival was better than that of the EPTS according to the criteria of the United Network for Organ Sharing (US-EPTS) score (P<0.001). Conclusions: The K-EPTS score, which was developed based on Korean national data, is expected to contribute to the assessment of recipient prognosis and efficient utilization of deceased donor kidneys.

Indexed as

Kidney transplantationPrognosisSurvivalTransplant recipient

Identifiers

PMID35769528
PMCPMC9235339

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