• Fumio Liu, Michiyuki Kawakami, Kimimasa Tamura, Yoshihito Taki, Katsumi Shimizu, Tomoyoshi Otsuka, Tetsuya Tsuji, Chieko Miyata, Syoichi Tashiro, Ayako Wada, Katsuhiro Mizuno, Yoshimitsu Aoki, and Meigen Liu.
• Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
• Respir Care. 2017 Apr 1; 62 (4): 423-431.

BackgroundAn objective method to evaluate thoracoabdominal movement is needed in daily clinical practice to detect patients at risk of hypoventilation and to allow for timely interventions in neuromuscular diseases. The clinical feasibility, reliability, and validity of a newly developed method for quantifying respiratory movement using fiber grating sensors, called the Respiratory Movement Evaluation Tool (RMET), was evaluated.MethodsThe time needed to measure respiratory movement and the usability of the measurement were determined by 5 clinicians using the Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST) 2.0 questionnaire. Thoracoabdominal movement was measured using RMET 3 times in 10 healthy subjects to evaluate intraclass correlation coefficients (ICC). The subjects were encouraged to breathe 10 times while voluntarily changing the amount of air during ventilation simultaneously with the RMET and a spirometer, and their correlations were evaluated to test validity using Pearson's product-moment correlation coefficients. The same measurements were also performed in 10 subjects with Duchenne muscular dystrophy.ResultsReal-time recordings of thoracoabdominal movements were obtained over a mean time of 374 ± 23.9 s. With QUEST 2.0, the median score of each item exceeded 3 (more or less satisfied). In healthy subjects, ICC(1,1) ranged from 0.82 to 0.99, and ICC(2,1) ranged from 0.83 to 0.97. Significant correlations were observed between the respiratory amplitudes measured with RMET, and the amount of air during ventilation was measured with a spirometer (r = 0.995, P < .001). In subjects with Duchenne muscular dystrophy, ICC(1,1) ranged from 0.87 to 0.97, and ICC(2,1) ranged from 0.84 to 0.99. The respiratory amplitudes measured with RMET correlated significantly with the amount of air during ventilation with a spirometer (r = 0.957, P < .001).ConclusionsWe developed a novel method of quantifying respiratory movement called RMET that was feasible to use in daily clinical practice.Copyright © 2017 by Daedalus Enterprises.

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