1. Brain CT can predict low lean mass in the elderly with cognitive impairment: a community-dwelling study
- Author
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Yun-Ting Chen, Chiun-Chieh Yu, Yu-Ching Lin, Shan-Ho Chan, Yi-Yun Lin, Nai-Ching Chen, and Wei-Che Lin
- Subjects
Sarcopenia ,Body composition ,Cognitive impairement ,Dementia ,Brain atrophy ,Computed tomography imaging ,Geriatrics ,RC952-954.6 - Abstract
Abstract Background The coexistence of sarcopenia and dementia in aging populations is not uncommon, and they may share common risk factors and pathophysiological pathways. This study aimed to evaluate the relationship between brain atrophy and low lean mass in the elderly with impaired cognitive function. Methods This cross-sectional study included 168 elderly patients who visited the multi-disciplinary dementia outpatient clinic at Kaohsiung Chang Gung Memorial Hospital for memory issues, between 2017 and 2019. The body composition was assessed by dual energy X-ray absorptiometry (DEXA) and CT based skeletal muscle index including L3 skeletal muscle index (L3SMI) and masseter muscle mass index (MSMI). The brain atrophy assessment was measured by CT based visual rating scale. Possible predictors of low lean mass in the elderly with cognitive impairement were identified by binary logistic regression. ROC curves were generated from binary logistic regression. Results Among the 81 participants, 43 (53%) remained at a normal appendicular skeletal muscle index (ASMI), whereas 38 (47%) showed low ASMI. Compared with the normal ASMI group, subjects with low ASMI exhibited significantly lower BMI, L3SMI, and MSMI (all p
- Published
- 2022
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