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Distinct Characteristics of Patients with Gout and an Underweight or Normal Body Mass Index: A Single-Center Retrospective Cross-Sectional Study

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dc.contributor.authorAhn, Sung Soo-
dc.contributor.authorKim, Jiyoung Agatha-
dc.contributor.authorRyu, Soorack-
dc.contributor.authorShin, Yagop-
dc.contributor.authorChoi, Sung Hoon-
dc.contributor.authorChoi, Ka Young-
dc.contributor.authorBae, Kunhyung-
dc.date.accessioned2026-01-22T08:03:43Z-
dc.date.available2026-01-22T08:03:43Z-
dc.date.created2026-01-16-
dc.date.issued2025-12-
dc.identifier.issn0024-3019-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/210208-
dc.description.abstractGout is an inflammatory arthritis triggered by monosodium urate crystal deposition, especially in obese patients. However, distinctions between the characteristics of obese and non-obese patients with gout remain unclear. We aimed to investigate the clinical differences by body mass index (BMI) with gout. We conducted a single-center retrospective cross-sectional study of 269 patients with gout from March 2020 to May 2024. Patients were classified into two groups: underweight/normal BMI and overweight/obesity. Baseline demographics, laboratory data, and clinical outcomes were compared between these groups. Stepwise logistic regression analysis was performed to identify predictors of underweight/normal BMI in gout patients. The underweight/normal BMI group included 35 patients (13.0%), characterized by older age, a higher proportion of females, and a lower prevalence of hypertension and alcohol consumption. This group also demonstrated lower uric acid, lipid profile, and alanine aminotransferase (ALT) levels but had a higher erythrocyte sedimentation rate. Logistic regression analysis identified female sex (odds ratio [OR] 3.831, 95% confidence interval [CI] 1.254-11.705, p = 0.018), presence of hypertension (OR 0.367, 95% CI 0.166-0.809, p = 0.013), total cholesterol (OR 0.990, 95% CI 0.982-0.999, p = 0.031), and ALT (OR 0.967, 95% CI 0.941-0.995, p = 0.019) as significant predictors of underweight/normal BMI gout. Understanding these characteristics may improve the identification of underweight/normal BMI subgroups, leading to improved approaches for gout management.-
dc.languageEnglish-
dc.publisherTime, Inc.-
dc.relation.isPartOfLIFE-BASEL-
dc.relation.isPartOfLife-
dc.titleDistinct Characteristics of Patients with Gout and an Underweight or Normal Body Mass Index: A Single-Center Retrospective Cross-Sectional Study-
dc.typeArticle-
dc.contributor.googleauthorAhn, Sung Soo-
dc.contributor.googleauthorKim, Jiyoung Agatha-
dc.contributor.googleauthorRyu, Soorack-
dc.contributor.googleauthorShin, Yagop-
dc.contributor.googleauthorChoi, Sung Hoon-
dc.contributor.googleauthorChoi, Ka Young-
dc.contributor.googleauthorBae, Kunhyung-
dc.identifier.doi10.3390/life15121876-
dc.relation.journalcodeJ03809-
dc.identifier.pmid41465815-
dc.subject.keywordgout-
dc.subject.keywordbody mass index-
dc.subject.keywordunderweight-
dc.subject.keywordnormal-
dc.subject.keywordobesity-
dc.subject.keywordoverweight-
dc.subject.keywordpredictor-
dc.contributor.affiliatedAuthorAhn, Sung Soo-
dc.identifier.scopusid2-s2.0-105025926727-
dc.identifier.wosid001647524000001-
dc.citation.volume15-
dc.citation.number12-
dc.identifier.bibliographicCitationLIFE-BASEL, Vol.15(12), 2025-12-
dc.identifier.rimsid91061-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorgout-
dc.subject.keywordAuthorbody mass index-
dc.subject.keywordAuthorunderweight-
dc.subject.keywordAuthornormal-
dc.subject.keywordAuthorobesity-
dc.subject.keywordAuthoroverweight-
dc.subject.keywordAuthorpredictor-
dc.subject.keywordPlusURIC-ACID-
dc.subject.keywordPlusOBESE SUBJECTS-
dc.subject.keywordPlusMETABOLISM-
dc.subject.keywordPlusHYPERURICEMIA-
dc.subject.keywordPlusRISK-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryBiology-
dc.relation.journalWebOfScienceCategoryMicrobiology-
dc.relation.journalResearchAreaLife Sciences & Biomedicine - Other Topics-
dc.relation.journalResearchAreaMicrobiology-
dc.identifier.articleno1876-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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