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Obesity, Metabolic Abnormality, and Progression of CKD

DC Field Value Language
dc.contributor.author강신욱-
dc.contributor.author김형래-
dc.contributor.author박정탁-
dc.contributor.author유태현-
dc.contributor.author윤해룡-
dc.contributor.author최규헌-
dc.contributor.author한승혁-
dc.date.accessioned2018-10-11T08:53:58Z-
dc.date.available2018-10-11T08:53:58Z-
dc.date.issued2018-
dc.identifier.issn0272-6386-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/163444-
dc.description.abstractRATIONALE & OBJECTIVE: Recent studies have yielded conflicting findings on the association between obesity and progression of chronic kidney disease (CKD). Few studies have evaluated whether metabolic abnormalities may accelerate the rate of progression of CKD. STUDY DESIGN: Prospective observational cohort study. SETTING & PARTICIPANTS: 1,940 participants from the Korean Cohort Study for Outcome in Patients With Chronic Kidney Disease (KNOW-CKD) PREDICTORS: Obesity and metabolic abnormality. Obesity was defined as body mass index ≥ 25kg/m2. Metabolic abnormality was defined as the presence of 3 or more of the following 5 components: hypertension, fasting glucose level > 125mg/dL or the presence of type 2 diabetes, triglyceride level > 150mg/dL or use of lipid-lowering drugs, high-density lipoprotein cholesterol level ≤ 40mg/dL in men and ≤ 50mg/dL in women, and high-sensitivity C-reactive protein level > 1mg/L. OUTCOME: A composite of a 50% decline in estimated glomerular filtration rate from the baseline value or end-stage kidney disease. ANALYTIC APPROACH: Multivariable cause-specific hazards models implemented to assess the association between obesity, metabolic abnormality, and CKD progression. RESULTS: During a mean follow-up of 3.1 years, the primary outcome occurred in 395 (20.4%) patients. In multivariable analyses, after adjustment for confounding factors, obesity and metabolic abnormality were significantly associated with 1.41-fold (95% CI, 1.08-1.83; P=0.01) and 1.38-fold (95% CI, 1.03-1.85; P=0.03) increased risk for adverse renal outcomes, respectively. Patients were categorized into 4 groups depending on the presence of obesity and metabolic abnormality. Compared with those with neither obesity nor metabolic abnormality, those with obesity and metabolic abnormality had a greater risk for CKD progression (HR, 1.53; P=0.03). Those with obesity without metabolic abnormality also had a higher rate of CKD progression (HR, 1.97; P=0.01). LIMITATIONS: Observational study, limited power to detect cardiovascular disease outcomes, unmeasured confounders. CONCLUSIONS: Both metabolic abnormality and obesity are associated with a significantly increased risk for CKD progression. Notably, obese patients without metabolic abnormality also have an elevated risk for CKD progression.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherW.B. Saunders-
dc.relation.isPartOfAMERICAN JOURNAL OF KIDNEY DISEASES-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleObesity, Metabolic Abnormality, and Progression of CKD-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Internal Medicine-
dc.contributor.googleauthorHae-Ryong Yun-
dc.contributor.googleauthorHyoungnae Kim-
dc.contributor.googleauthorJung Tak Park-
dc.contributor.googleauthorTae Ik Chang-
dc.contributor.googleauthorTae-Hyun Yoo-
dc.contributor.googleauthorShin-Wook Kang-
dc.contributor.googleauthorKyu Hun Choi-
dc.contributor.googleauthorSuah Sung-
dc.contributor.googleauthorSoo Wan Kim-
dc.contributor.googleauthorJoongyub Lee-
dc.contributor.googleauthorKook-Hwan Oh-
dc.contributor.googleauthorCurie Ahn-
dc.contributor.googleauthorSeung Hyeok Han-
dc.contributor.googleauthorSeohyun Park-
dc.contributor.googleauthorJong Hyun Jhee-
dc.contributor.googleauthorYoun Kyung Kee-
dc.contributor.googleauthorDong Wan Chae-
dc.contributor.googleauthorHo Jun Chin-
dc.contributor.googleauthorHayne Cho Park-
dc.contributor.googleauthorKyubeck Lee-
dc.contributor.googleauthorYong-Soo Kim-
dc.contributor.googleauthorWookyung Chung-
dc.contributor.googleauthorYoung-Hwan Hwang-
dc.contributor.googleauthorYeong Hoon Kim-
dc.contributor.googleauthorSun Woo Kang-
dc.identifier.doi10.1053/j.ajkd.2018.02.362-
dc.contributor.localIdA00053-
dc.contributor.localIdA01147-
dc.contributor.localIdA01654-
dc.contributor.localIdA02526-
dc.contributor.localIdA04617-
dc.contributor.localIdA04043-
dc.contributor.localIdA04304-
dc.relation.journalcodeJ00089-
dc.identifier.eissn1523-6838-
dc.identifier.pmid29728317-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0272638618305973-
dc.subject.keywordCKD progression-
dc.subject.keywordChronic kidney disease (CKD)-
dc.subject.keywordbody mass index (BMI)-
dc.subject.keywordend-stage renal disease (ESRD)-
dc.subject.keywordestimated glomerular filtration rate (eGFR)-
dc.subject.keywordkidney function-
dc.subject.keywordmetabolic abnormality-
dc.subject.keywordmetabolic syndrome-
dc.subject.keywordobesity-
dc.subject.keywordrenal outcome-
dc.contributor.alternativeNameKang, Shin Wook-
dc.contributor.alternativeNameKim, Hyoung Rae-
dc.contributor.alternativeNamePark, Jung Tak-
dc.contributor.alternativeNameYoo, Tae Hyun-
dc.contributor.alternativeNameYun, Hae Ryong-
dc.contributor.alternativeNameChoi, Kyu Hun-
dc.contributor.alternativeNameHan, Seung Hyeok-
dc.contributor.affiliatedAuthorKang, Shin Wook-
dc.contributor.affiliatedAuthorKim, Hyoung Rae-
dc.contributor.affiliatedAuthorPark, Jung Tak-
dc.contributor.affiliatedAuthorYoo, Tae Hyun-
dc.contributor.affiliatedAuthorYun, Hae Ryong-
dc.contributor.affiliatedAuthorChoi, Kyu Hun-
dc.contributor.affiliatedAuthorHan, Seung Hyeok-
dc.citation.volume72-
dc.citation.number3-
dc.citation.startPage400-
dc.citation.endPage410-
dc.identifier.bibliographicCitationAMERICAN JOURNAL OF KIDNEY DISEASES, Vol.72(3) : 400-410, 2018-
dc.identifier.rimsid60394-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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