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Authors
Takata, Tomoaki Division of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University Researchers DB
Motoe, Aki Kidney Center, Sanin Rosai Hospital
Tanida, Katsumi Taniguchi Hospital
Taniguchi, Sosuke Kidney Center, Sanin Rosai Hospital
Ida, Ayami Kidney Center, Sanin Rosai Hospital
Yamada, Kentaro Division of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University
Hamada, Shintaro Division of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University
Ogawa, Masaya Kidney Center, Sanin Rosai Hospital
Yamamoto, Marie Division of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University
Mae, Yukari Division of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University
Iyama, Takuji Division of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University
Taniguchi, Munehiro Taniguchi Hospital
Nakaoka, Akihisa Kidney Center, Sanin Rosai Hospital
Isomoto, Hajime Division of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University Researchers DB KAKEN
Keywords
Sarcopenia
Psoas muscle
Bioimpedance analysis
Muscle wasting
Abstract
[Background] Sarcopenia is a major health issue especially in patients on maintenance hemodialysis. Low skeletal muscle mass is included in the diagnostic criteria for sarcopenia. The skeletal muscle mass is usually evaluated by modalities such as bioimpedance analysis (BIA) or dual-energy X-ray absorptiometry, however the assessment of skeletal muscle mass using computed tomography (CT) images has not been established. The purpose of the study was to investigate the feasibility of the assessment of skeletal muscle mass using CT images in hemodialysis patients. [Methods] Skeletal muscle mass index (SMI) was measured by BIA and psoas muscle index (PMI) was measured by cross-sectional CT images in 131 patients. The relationship between SMI and PMI and the diagnostic ability of PMI for low muscle mass were evaluated. Furthermore, the patients were followed up and long-term survival in patients with low and high PMI were compared. [Results] PMI measured at the L3 vertebral level was strongly correlated with SMI (r = 0.597, p < 0.001). Age, sex, and SMI were the influencing factors for PMI. Patients with low PMI showed higher incidence rates of mortality during the follow up. [Conclusions] PMI assessed by CT image can be an alternative to BIA in patients on hemodialysis.
Publisher
SPRINGER HEIDELBERG
Content Type
Journal Article
Link
ISSN
11218428
EISSN
17246059
NCID
AA10737230
Journal Title
JOURNAL OF NEPHROLOGY
Published Date
2020-09-29
Publisher-DOI
Text Version
Author
Rights
(C) 2021 Springer Nature Switzerland AG. This is a post-peer-review, pre-copyedit version of an article published in JOURNAL OF NEPHROLOGY. The final authenticated version is available online at: http://dx.doi.org/10.1007/s40620-020-00871-5
Citation
Takata Tomoaki, Motoe Aki, Tanida Katsumi, et al. Feasibility of computed tomography-based assessment of skeletal muscle mass in hemodialysis patients. JOURNAL OF NEPHROLOGY. 2020. doi:10.1007/s40620-020-00871-5
Department
Faculty of Medicine/Graduate School of Medical Sciences/University Hospital
Language
English
Web of Science Key ut
WOS:000573748800002