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Predictive performance of the new race-free Chronic Kidney Disease Epidemiology Collaboration equations for kidney outcome in Korean patients with chronic kidney disease

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dc.contributor.authorKim, Hyoungnae-
dc.contributor.authorHyun, Young Youl-
dc.contributor.authorYun, Hae-Ryong-
dc.contributor.authorJoo, Young Su-
dc.contributor.authorKim, Yaeni-
dc.contributor.authorJung, Ji Yong-
dc.contributor.authorJeong, Jong Cheol-
dc.contributor.authorKim, Jayoun-
dc.contributor.authorPark, Jung Tak-
dc.contributor.authorYoo, Tae-Hyun-
dc.contributor.authorKang, Shin-Wook-
dc.contributor.authorOh, Kook-Hwan-
dc.contributor.authorHan, Seung Hyeok-
dc.date.accessioned2024-03-19T12:30:31Z-
dc.date.available2024-03-19T12:30:31Z-
dc.date.issued2023-07-
dc.identifier.issn2211-9132-
dc.identifier.issn2211-9140-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/90751-
dc.description.abstractBackground: The new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations without a race coefficient have gained recognition across the United States. We aimed to test whether these new equations performed well in Korean patients with chronic kidney disease (CKD). Methods: This study included 2,149 patients with CKD G1-G5 without kidney replacement therapy from the Korean Cohort Study for Outcome in Patients with CKD (KNOW-CKD). The estimated glomerular filtration rate (eGFR) was calculated using the new CKD-EPI equations with serum creatinine and cystatin C. The primary outcome was 5-year risk of kidney failure with replacement therapy (KFRT). Results: When we adopted the new creatinine equation [eGFRcr (NEW)], 81 patients (23.1%) with CKD G3a based on the current cre-atinine equation (eGFRcr) were reclassified as CKD G2. Accordingly, the number of patients with eGFR of <60 mL/min/1.73 m2 de-creased from 1,393 (64.8%) to 1,312 (61.1%). The time-dependent area under the receiver operating characteristic curve for 5-year KFRT risk was comparable between the eGFRcr (NEW) (0.941; 95% confidence interval [CI], 0.922-0.960) and eGFRcr (0.941; 95% CI, 0.922-0.961). The eGFRcr (NEW) showed slightly better discrimination and reclassification than the eGFRcr. However, the new cre-atinine and cystatin C equation [eGFRcr-cys (NEW)] performed similarly to the current creatinine and cystatin C equation. Furthermore, eGFRcr-cys (NEW) did not show better performance for KFRT risk than eGFRcr (NEW). Conclusion: Both the current and the new CKD-EPI equations showed excellent predictive performance for 5-year KFRT risk in Kore-an patients with CKD. These new equations need to be further tested for other clinical outcomes in Koreans.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherKOREAN SOC NEPHROLOGY-
dc.titlePredictive performance of the new race-free Chronic Kidney Disease Epidemiology Collaboration equations for kidney outcome in Korean patients with chronic kidney disease-
dc.typeArticle-
dc.identifier.wosid001124236700008-
dc.identifier.doi10.23876/j.krcp.22.158-
dc.identifier.bibliographicCitationKIDNEY RESEARCH AND CLINICAL PRACTICE, v.42, no.4, pp 501 - 511-
dc.identifier.kciidART003004678-
dc.description.isOpenAccessY-
dc.identifier.scopusid2-s2.0-85166409844-
dc.citation.endPage511-
dc.citation.startPage501-
dc.citation.titleKIDNEY RESEARCH AND CLINICAL PRACTICE-
dc.citation.volume42-
dc.citation.number4-
dc.type.docTypeArticle-
dc.publisher.location대한민국-
dc.subject.keywordAuthorChronic Kidney Disease Epidemiology Collaboration-
dc.subject.keywordAuthorCreatinine-
dc.subject.keywordAuthorCystatin C-
dc.subject.keywordAuthorKidney failure with renal replacement therapy-
dc.subject.keywordPlusGLOMERULAR-FILTRATION-RATE-
dc.subject.keywordPlusBETA-TRACE PROTEIN-
dc.subject.keywordPlusSERUM CREATININE-
dc.subject.keywordPlusNATIONAL-HEALTH-
dc.subject.keywordPlusMEASURED GFR-
dc.subject.keywordPlusCKD-
dc.subject.keywordPlusESRD-
dc.subject.keywordPlusMORTALITY-
dc.subject.keywordPlusACCURACY-
dc.relation.journalResearchAreaUrology & Nephrology-
dc.relation.journalWebOfScienceCategoryUrology & Nephrology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
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