Evidence map›Paper›PMID 40304019›Full record

ArticleKidney research and clinical practice2025

Prediction model for 6-month mortality in incident older hemodialysis patients in South Korea.

Woo Yeong Park, Eunjin Bae, Hui-Seung Lee, Chi-Yeon Lim, Jang-Hee Cho, Byung Chul Yu, Miyeun Han, Sang Heon Song, Gang-Jee Ko, Jae Won Yang and 9 more

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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 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

19 authors.

Woo Yeong ParkDivision of Nephrology, Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Republic of Korea.
Eunjin BaeDivision of Nephrology, Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Institue of Medical Science, Gyeongsang National University College of Medicine, Jinju, Republic of Korea.
Hui-Seung LeeDepartment of Biostatistics, Dongguk University College of Medicine, Goyang, Republic of Korea.
Chi-Yeon LimDepartment of Biostatistics, Dongguk University College of Medicine, Goyang, Republic of Korea.
Jang-Hee Cho
Byung Chul YuDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea.
Miyeun HanDivision of Nephrology, Department of Internal Medicine, National Medical Center, Seoul, Republic of Korea.
Sang Heon SongDivision of Nephrology, Department of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.
Gang-Jee KoDivision of Nephrology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Jae Won YangDivision of Nephrology, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Sungjin ChungDivision of Nephrology, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Yu Ah HongDivision of Nephrology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Young Youl HyunDivision of Nephrology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
In O SunDivision of Nephrology, Department of Internal Medicine, Presbyterian Medical Center, Jeonju, Republic of Korea.
Hyunsuk KimDivision of Nephrology, Department of Internal Medicine, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Won Min HwangDivision of Nephrology, Department of Internal Medicine, Konyang University Hospital, Daejeon, Republic of Korea.
Sung Joon ShinDivision of Nephrology, Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University School of Medicine, Goyang, Republic of Korea.
Soon Hyo KwonDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea.
Kyung Don YooDivision of Nephrology, Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.

Funding

Korean Society of NephrologyMinistry of Health and Welfare RS-2021-KH120073
6 · The paper itself

Abstract

backgroundEarly mortality following hemodialysis initiation hinders survival improvement in older patients. This study aimed to develop a clinical risk model for predicting 6-month mortality after dialysis initiation in older Korean hemodialysis patients.

methodsWe analyzed data from incident hemodialysis patients aged >70 years from the Korean Society of Geriatric Nephrology (KSGN) database. A prediction model was developed using multivariate logistic regression analysis and externally validated with independent datasets.

resultsAmong 1,751 incident hemodialysis patients, the 6-month mortality rate was 15.5%. Using multivariate logistic analysis, we constructed the KSGN score as an independent risk factor for 6-month mortality, and its components and score are as follows: old age at dialysis initiation (≥85 years, score 2); hypertension and renovascular disease as a primary etiology of end-stage kidney disease (ESKD) (score 1); malignancy history (yes, score 1); low serum albumin (<3.5 g/dL, score 1); hypertension treatment (yes, score -1); prepared vascular access on maintenance dialysis (arteriovenous fistula/arteriovenous graft, score -3). In the development cohort, the area under the curve (AUC) for the KSGN score was significantly higher than the Alberta Wick's score (0.707 vs. 0.683, p = 0.001). In the validation cohort, the KSGN score's performance was comparable to existing models.

conclusionThe KSGN score may be a valuable tool for predicting early mortality after dialysis initiation in older patients with ESKD, aiding in decision-making and management regarding dialysis initiation.

Indexed as

Chronic kidney failureMortalityRenal dialysis

Identifiers

PMID40304019
PMCPMC12245594

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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.