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Better Prediction of Clinical Outcome with Estimated Glomerular Filtration Rate by CKD-EPI 2021
DC Field | Value | Language |
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dc.contributor.author | 강혜인 | - |
dc.contributor.author | 이광섭 | - |
dc.contributor.author | 임정훈 | - |
dc.contributor.author | 임종백 | - |
dc.contributor.author | 장한밀 | - |
dc.date.accessioned | 2025-07-09T08:29:54Z | - |
dc.date.available | 2025-07-09T08:29:54Z | - |
dc.date.issued | 2024-10 | - |
dc.identifier.issn | 2576-9456 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/206398 | - |
dc.description.abstract | Background: 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.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Oxford University Press | - |
dc.relation.isPartOf | JOURNAL OF APPLIED LABORATORY MEDICINE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Albuminuria / diagnosis | - |
dc.subject.MESH | Creatinine / blood | - |
dc.subject.MESH | Cystatin C / blood | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Follow-Up Studies | - |
dc.subject.MESH | Glomerular Filtration Rate* / physiology | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Longitudinal Studies | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Renal Insufficiency, Chronic* / blood | - |
dc.subject.MESH | Renal Insufficiency, Chronic* / diagnosis | - |
dc.subject.MESH | Renal Insufficiency, Chronic* / epidemiology | - |
dc.subject.MESH | Renal Insufficiency, Chronic* / mortality | - |
dc.subject.MESH | Renal Insufficiency, Chronic* / physiopathology | - |
dc.subject.MESH | Renal Insufficiency, Chronic* / therapy | - |
dc.subject.MESH | Renal Replacement Therapy / statistics & numerical data | - |
dc.subject.MESH | Republic of Korea / epidemiology | - |
dc.subject.MESH | Retrospective Studies | - |
dc.title | Better Prediction of Clinical Outcome with Estimated Glomerular Filtration Rate by CKD-EPI 2021 | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Laboratory Medicine (진단검사의학교실) | - |
dc.contributor.googleauthor | Kwang Seob Lee | - |
dc.contributor.googleauthor | Jaehyeok Jang | - |
dc.contributor.googleauthor | Hanmil Jang | - |
dc.contributor.googleauthor | Hyein Kang | - |
dc.contributor.googleauthor | John Hoon Rim | - |
dc.contributor.googleauthor | Jong-Baeck Lim | - |
dc.identifier.doi | 10.1093/jalm/jfae103 | - |
dc.contributor.localId | A06363 | - |
dc.contributor.localId | A06234 | - |
dc.contributor.localId | A04654 | - |
dc.contributor.localId | A03403 | - |
dc.contributor.localId | A06267 | - |
dc.relation.journalcode | J04075 | - |
dc.identifier.eissn | 2475-7241 | - |
dc.identifier.pmid | 39365750 | - |
dc.identifier.url | https://academic.oup.com/jalm/article/10/2/274/7811185 | - |
dc.contributor.alternativeName | Kang, Hyein | - |
dc.contributor.affiliatedAuthor | 강혜인 | - |
dc.contributor.affiliatedAuthor | 이광섭 | - |
dc.contributor.affiliatedAuthor | 임정훈 | - |
dc.contributor.affiliatedAuthor | 임종백 | - |
dc.contributor.affiliatedAuthor | 장한밀 | - |
dc.citation.volume | 10 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 274 | - |
dc.citation.endPage | 285 | - |
dc.identifier.bibliographicCitation | JOURNAL OF APPLIED LABORATORY MEDICINE, Vol.10(2) : 274-285, 2024-10 | - |
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