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The Prognostic Significance of Body Mass Index and Metabolic Parameter Variabilities in Predialysis CKD: A Nationwide Observational Cohort Study

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dc.contributor.authorPark, Sehoon-
dc.contributor.authorCho, Semin-
dc.contributor.authorLee, Soojin-
dc.contributor.authorKim, Yaerim-
dc.contributor.authorPark, Sanghyun-
dc.contributor.authorKim, Yong Chul-
dc.contributor.authorHan, Seung Seok-
dc.contributor.authorLee, Hajeong-
dc.contributor.authorLee, Jung Pyo-
dc.contributor.authorJoo, Kwon Wook-
dc.contributor.authorLim, Chun Soo-
dc.contributor.authorKim, Yon Su-
dc.contributor.authorHan, Kyungdo-
dc.contributor.authorKim, Dong Ki-
dc.date.accessioned2024-08-08T01:23:23Z-
dc.date.available2024-08-08T01:23:23Z-
dc.date.created2021-11-25-
dc.date.created2021-11-25-
dc.date.issued2021-10-
dc.identifier.citationJournal of the American Society of Nephrology : JASN, Vol.32 No.10, pp.2595-2612-
dc.identifier.issn1046-6673-
dc.identifier.urihttps://hdl.handle.net/10371/205619-
dc.description.abstractBackground The association between variabilities in body mass index (BMI) or metabolic parameters and prognosis of patients with CKD has rarely been studied. Methods In this retrospective observational study on the basis of South Korea's national health screening database, we identified individuals who received >= 3 health screenings, including those with persistent predialysis CKD (eGFR <60 ml/min per 1.73 m(2) or dipstick albuminuria >= 1). The study exposure was variability in BMI or metabolic parameters until baseline assessment, calculated as the variation independent of the mean and stratified into quartiles (with Q4 the highest quartile andQ1 the lowest). We used Cox regression adjusted for various clinical characteristics to analyze risks of all-cause mortality and incident myocardial infarction, stroke, and KRT. Results The study included 84,636 patients with predialysis CKD. Comparing Q4 versus Q1, higher BMI variability was significantly associated with higher risks of all-cause mortality (hazard ratio [HR], 1.66; 95% confidence interval [95% CI], 1.53 to 1.81), P [for trend] <0.001), KRT (HR, 1.20; 95% CI, 1.09 to 1.33; P<0.001), myocardial infarction (HR, 1.19; 95% CI, 1.05 to 1.36, P=0.003), and stroke (HR, 1.19; 95% CI, 1.07 to 1.33, P=0.01). The results were similar in the subgroups divided according to positive or negative trends in BMI during the exposure assessment period. Variabilities in certain metabolic syndrome components (e.g., fasting blood glucose) also were significantly associated with prognosis of patients with predialysis CKD. Those with a higher number of metabolic syndrome components with high variability had a worse prognosis. Conclusions Higher variabilities in BMI and certain metabolic syndrome components are significantly associated with a worse prognosis in patients with predialysis CKD.-
dc.language영어-
dc.publisherLippincott Williams & Wilkins Ltd.-
dc.titleThe Prognostic Significance of Body Mass Index and Metabolic Parameter Variabilities in Predialysis CKD: A Nationwide Observational Cohort Study-
dc.typeArticle-
dc.identifier.doi10.1681/ASN.2020121694-
dc.citation.journaltitleJournal of the American Society of Nephrology : JASN-
dc.identifier.wosid000714146900024-
dc.identifier.scopusid2-s2.0-85116563105-
dc.citation.endpage2612-
dc.citation.number10-
dc.citation.startpage2595-
dc.citation.volume32-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorLee, Jung Pyo-
dc.contributor.affiliatedAuthorJoo, Kwon Wook-
dc.contributor.affiliatedAuthorLim, Chun Soo-
dc.contributor.affiliatedAuthorKim, Yon Su-
dc.contributor.affiliatedAuthorKim, Dong Ki-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusOBESITY PARADOX-
dc.subject.keywordPlusKIDNEY-DISEASE-
dc.subject.keywordPlusRISK-
dc.subject.keywordPlusMORTALITY-
dc.subject.keywordPlusGLUCOSE-
dc.subject.keywordPlusHEALTH-
dc.subject.keywordPlusASSOCIATION-
dc.subject.keywordPlusOUTCOMES-
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  • College of Medicine
  • Department of Medicine
Research Area Nephrology, Transplantation, Urology

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