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Better Prediction of Clinical Outcome with Estimated Glomerular Filtration Rate by CKD-EPI 2021

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dc.contributor.authorLee, Kwang Seob-
dc.contributor.authorJang, Jaehyeok-
dc.contributor.authorJang, Hanmil-
dc.contributor.authorKang, Hyein-
dc.contributor.authorRim, John Hoon-
dc.contributor.authorLim, Jong-Baeck-
dc.date.accessioned2025-07-09T08:29:54Z-
dc.date.available2025-07-09T08:29:54Z-
dc.date.created2025-03-31-
dc.date.issued2024-10-
dc.identifier.issn2576-9456-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/206398-
dc.description.abstractBackground While the real-world impact of estimated glomerular filtration rate (eGFR) equation change on clinical outcome in a longitudinal cohort setting is limited, external valuation of equation performance should be performed in different population cohorts. This study aimed to compare differential impacts of eGFR values, calculated by 5 equations in a Korean patient population, on clinical outcomes.Methods This retrospective longitudinal follow-up cohort study analyzed 23 246 participants with standardized creatinine/cystatin C assay-based laboratory results. The primary exposure was baseline eGFR calculated by 5 different equations including the recently developed 2021 race-free Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations. Clinical outcomes including all-cause mortality, renal replacement therapy, and albuminuria were analyzed to estimate the hazard ratio of the eGFR on clinical outcomes.Results Among the 5 equations, CKD-EPI 2021 with creatinine and cystatin C (CKD-EPI 2021-CrCys) showed an earlier increase in hazard ratios for all clinical outcomes, while CKD-EPI 2012 with cystatin C showed a higher hazard ratio for all-cause mortality at low eGFR. Replacing CKD-EPI 2012 with CKD-EPI 2021-CrCys, 5.4% of patients with mortality and 3.3% of patients who received renal replacement therapy were reclassified to a lower risk stage.Conclusions The 2021 CKD-EPI equations were acceptable in a Korean population, with better predictive power for clinical outcomes when compared to previous equations. The updated race-free factors for eGFR calculation improved identification of patients at risk for clinical outcomes.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherOxford University Press-
dc.relation.isPartOfJOURNAL OF APPLIED LABORATORY MEDICINE-
dc.relation.isPartOfJOURNAL OF APPLIED LABORATORY MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleBetter Prediction of Clinical Outcome with Estimated Glomerular Filtration Rate by CKD-EPI 2021-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Laboratory Medicine (진단검사의학교실)-
dc.contributor.googleauthorLee, Kwang Seob-
dc.contributor.googleauthorJang, Jaehyeok-
dc.contributor.googleauthorJang, Hanmil-
dc.contributor.googleauthorKang, Hyein-
dc.contributor.googleauthorRim, John Hoon-
dc.contributor.googleauthorLim, Jong-Baeck-
dc.identifier.doi10.1093/jalm/jfae103-
dc.relation.journalcodeJ04075-
dc.identifier.eissn2475-7241-
dc.identifier.pmid39365750-
dc.contributor.alternativeNameKang, Hyein-
dc.contributor.affiliatedAuthorLee, Kwang Seob-
dc.contributor.affiliatedAuthorJang, Jaehyeok-
dc.contributor.affiliatedAuthorJang, Hanmil-
dc.contributor.affiliatedAuthorKang, Hyein-
dc.contributor.affiliatedAuthorRim, John Hoon-
dc.contributor.affiliatedAuthorLim, Jong-Baeck-
dc.identifier.scopusid2-s2.0-86000304094-
dc.identifier.wosid001325898900001-
dc.citation.volume10-
dc.citation.number2-
dc.citation.startPage274-
dc.citation.endPage285-
dc.identifier.bibliographicCitationJOURNAL OF APPLIED LABORATORY MEDICINE, Vol.10(2) : 274-285, 2024-10-
dc.identifier.rimsid86009-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordPlusRENAL HYPERFILTRATION-
dc.subject.keywordPlusCYSTATIN C-
dc.subject.keywordPlusSERUM CREATININE-
dc.subject.keywordPlusMORTALITY-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryMedical Laboratory Technology-
dc.relation.journalResearchAreaMedical Laboratory Technology-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pharmacology (약리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers

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