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Accurate diagnosis of sarcopenia without using a body composition analyzer in a convalescent rehabilitation ward.

Authors :
Hishikawa N
Sawada K
Shono S
Sakurai M
Yokozeki M
Maeda H
Ohashi S
Ueshima K
Mikami Y
Source :
Japanese journal of comprehensive rehabilitation science [Jpn J Compr Rehabil Sci] 2023 Mar 31; Vol. 14, pp. 26-32. Date of Electronic Publication: 2023 Mar 31 (Print Publication: 2023).
Publication Year :
2023

Abstract

Hishikawa N, Sawada K, Shono S, Sakurai M, Yokozeki M, Maeda H, Ohashi S, Ueshima K, Mikami Y. Accurate diagnosis of sarcopenia without using a body composition analyzer in a convalescent rehabilitation ward. Jpn J Compr Rehabil Sci 2023; 14: 26-32.<br />Objective: The Asian Working Group for Sarcopenia 2019 recommends diagnosing sarcopenia without using a body composition analyzer and initiating treatment early. The present study aimed to investigate the accuracy of diagnosing sarcopenia without a body composition analyzer in a convalescent rehabilitation ward.<br />Methods: Eighty-five patients admitted to a convalescent rehabilitation ward were included, and sarcopenia diagnoses were performed with and without a body composition analyzer. To assess the accuracy of diagnosing sarcopenia without using a body composition analyzer, sensitivity, specificity, positive predictive value, and negative predictive value were calculated relative to sarcopenia diagnoses made using a body composition analyzer.<br />Results: The sensitivity of the technique for diagnosing sarcopenia was 0.94, specificity was 0.77, positive predictive value was 0.86, and negative predictive value was 0.90.<br />Conclusion: The accuracy of diagnosing sarcopenia without using a body composition analyzer was high. However, this technique may miss sarcopenia cases in patients with increased calf circumference due to adipose tissue and/or edema.<br />Competing Interests: Conflicts of interest: The authors have no conflicts of interest or financial interests to declare.<br /> (©Kaifukuki Rehabilitation Ward Association 2023.)

Details

Language :
English
ISSN :
2185-5323
Volume :
14
Database :
MEDLINE
Journal :
Japanese journal of comprehensive rehabilitation science
Publication Type :
Academic Journal
Accession number :
37859793
Full Text :
https://doi.org/10.11336/jjcrs.14.26