@article{oai:nagasaki-u.repo.nii.ac.jp:00027130,
 author = {Hanada, Masatoshi and Sakamoto, Noriho and Ishimoto, Hiroshi and Kido, Takashi and Miyamura, Takuto and Oikawa, Masato and Nagura, Hiroki and Takeuchi, Rina and Kawazoe, Yurika and Sato, Shuntaro and Hassan, S. Ahmed and Ishimatsu, Yuji and Takahata, Hideaki and Mukae, Hiroshi and Kozu, Ryo},
 journal = {BMC Pulmonary Medicine},
 month = {Jan},
 note = {Background: The Asian Working Group for Sarcopenia 2019 (AWGS 2019) is the gold standard diagnostic criteria for sarcopenia in Asian populations. The calf circumference (CalF), the strength, assistance in walking, rising from a chair, climbing stairs, and falls (SARC-F) and the SARC-CalF questionnaires for sarcopenia screening have been used by AWGS 2019. The aim of this study was to assess accuracy of these three sarcopenia screening tools in patients with interstitial lung disease.
Methods: In this cross-sectional study, stable patients with interstitial lung disease were enrolled. The SARC-F, SARC-CalF, and CalF, used in patients with interstitial lung disease, were compared to the diagnostic criteria proposed by AWGS 2019. The accuracy of screening tools was compared using sensitivity and specificity. Moreover, areas under the receiver operating characteristic curves (AUC) were computed.
Results: Seventy eight patients were analyzed, and sarcopenia was identified in 25 (32.1%) patients with interstitial lung disease by the AWGS 2019 criteria. The sensitivity of the CalF was highest (96%) of the three screening tools, while the specificity was 60%. The sensitivity of SARC-F and SARC-CalF were 24% and 68%, while the specificity were 92% and 66%, respectively. The AUCs of CalF, SARC-F, and SARC-CalF in all patients were 0.78, 0.58, and 0.67, respectively.
Conclusions: The CalF is most suitable for screening sarcopenia in patients with interstitial lung disease, while SARC-F and SARC-CalF are not., BMC Pulmonary Medicine, 22, art. no. 45; 2022},
 title = {A comparative study of the sarcopenia screening in older patients with interstitial lung disease},
 volume = {22},
 year = {2022}
}