Evaluation of respiratory rate monitoring performance using a home oxygen monitoring device among patients with interstitial lung disease and chronic obstructive pulmonary disease

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Satoshi Hamada
Tomohiro Handa
Naoya Tanabe
Susumu Sato
Kiminobu Tanizawa
Atsuyasu Sato
Satoshi Morita
Kazuo Chin
Toyohiro Hirai


chronic obstructive pulmonary disease, home oxygen therapy, interstitial lung disease, intraclass correlation coefficient, remote monitoring device, respiratory rate


Background: Home monitoring devices have been developed to measure adherence to home oxygen therapy. In this study, we evaluated the performance of TeleOx®, a commercially available remote monitoring device, in comparison with polysomnography (PSG) in patients with interstitial lung disease (ILD) and chronic obstructive pulmonary disease (COPD) and the factors that affected TeleOx® correct use.

Methods: TeleOx® was connected on the patient or concentrator side. The oxygen flow rates were set at 1, 3, and 5 L/min. Intraclass correlation coefficient (ICC) (2,1) was used to determine the agreement between respiratory rate measured using TeleOx® and that measured using PSG, and the minimum acceptable level of reliability was >0.7.

Results: In total, 22 patients (16 with ILD and 6 with COPD) were assessed. In patients with ILD, the detection rate of patients’ respiration assessed using TeleOx® did not change according to the device’s position. It increased from 53.5% to 79.0% by changing the position from the concentrator to the patient side in patients with COPD. The ICC (2,1) value indicated that TeleOx® had acceptable reliability at oxygen flow rates of 1 and 3 L/min regardless of the device’s position in patients with ILD (the concentrator side: 0.9 and 0.82, respectively; the patient side: 0.95 and 0.82, respectively), whereas that did only at the oxygen flow rate of 1 L/min and in connecting TeleOx® on the patient side in patients with COPD (0.73). Conclusion: The monitoring performance of TeleOx® differed according to its position, oxygen flow rates, and patients’ diseases.

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