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Predictors of Discordance in the Assessment of Skeletal Muscle Mass between Computed Tomography and Bioimpedance Analysis

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dc.contributor.author김도영-
dc.contributor.author김범경-
dc.contributor.author김승업-
dc.contributor.author박준용-
dc.contributor.author안상훈-
dc.contributor.author이혜원-
dc.contributor.author임태섭-
dc.contributor.author전미영-
dc.contributor.author한광협-
dc.date.accessioned2019-07-11T03:09:30Z-
dc.date.available2019-07-11T03:09:30Z-
dc.date.issued2019-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/169861-
dc.description.abstractComputed tomography (CT) and bioimpedance analysis (BIA) can assess skeletal muscle mass (SMM). Our objective was to identify the predictors of discordance between CT and BIA in assessing SMM. Participants who received a comprehensive medical health check-up between 2010 and 2018 were recruited. The CT and BIA-based diagnostic criteria for low SMM are as follows: Defined CT cutoff values (lumbar skeletal muscle index (LSMI) <1 standard deviation (SD) and means of 46.12 cm²/m² for men and 34.18 cm²/m² for women) and defined BIA cutoff values (appendicular skeletal muscle/height² <7.0 kg/m² for men and <5.7 kg/m² for women). A total of 1163 subjects were selected. The crude and body mass index (BMI)-adjusted SMM assessed by CT were significantly associated with those assessed by BIA (correlation coefficient = 0.78 and 0.68, respectively; p < 0.001). The prevalence of low SMM was 15.1% by CT and 16.4% by BIA. Low SMM diagnosed by CT was significantly associated with advanced age, female gender, and lower serum albumin level, whereas low SMM diagnosed by BIA was significantly associated with advanced age, female gender, and lower BMI (all p < 0.05). Upon multivariate analysis, age >65 years, female and BMI <25 kg/m² had significantly higher risks of discordance than their counterparts (all p < 0.05). We found a significant association between SMM assessed by CT and BIA. SMM assessment using CT and BIA should be interpreted cautiously in older adults (>65 years of age), female and BMI <25 kg/m².-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherMDPI AG-
dc.relation.isPartOfJOURNAL OF CLINICAL MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titlePredictors of Discordance in the Assessment of Skeletal Muscle Mass between Computed Tomography and Bioimpedance Analysis-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorMin Ho Jo-
dc.contributor.googleauthorTae Seop Lim-
dc.contributor.googleauthorMi Young Jeon-
dc.contributor.googleauthorHye Won Lee-
dc.contributor.googleauthorBeom Kyung Kim-
dc.contributor.googleauthorJun Yong Park-
dc.contributor.googleauthorDo Young Kim-
dc.contributor.googleauthorSang Hoon Ahn-
dc.contributor.googleauthorKwang-Hyub Han-
dc.contributor.googleauthorSeung Up Kim-
dc.identifier.doi10.3390/jcm8030322-
dc.contributor.localIdA00385-
dc.contributor.localIdA00487-
dc.contributor.localIdA00654-
dc.contributor.localIdA01675-
dc.contributor.localIdA02226-
dc.contributor.localIdA03318-
dc.contributor.localIdA03414-
dc.contributor.localIdA05405-
dc.contributor.localIdA04268-
dc.relation.journalcodeJ03556-
dc.identifier.eissn2077-0383-
dc.identifier.pmid30866538-
dc.subject.keywordbioimpedance analysis-
dc.subject.keywordcomputed tomography-
dc.subject.keyworddiscordance-
dc.subject.keywordsarcopenia-
dc.contributor.alternativeNameKim, Do Young-
dc.contributor.affiliatedAuthor김도영-
dc.contributor.affiliatedAuthor김범경-
dc.contributor.affiliatedAuthor김승업-
dc.contributor.affiliatedAuthor박준용-
dc.contributor.affiliatedAuthor안상훈-
dc.contributor.affiliatedAuthor이혜원-
dc.contributor.affiliatedAuthor임태섭-
dc.contributor.affiliatedAuthor전미영-
dc.contributor.affiliatedAuthor한광협-
dc.citation.volume8-
dc.citation.number3-
dc.citation.startPageE322-
dc.identifier.bibliographicCitationJOURNAL OF CLINICAL MEDICINE, Vol.8(3) : E322, 2019-
dc.identifier.rimsid62477-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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