Sleep time on back as a predictor of adherence to positive airway pressure therapy

Abstract Upper airway collapse can be effectively dealt with positive airway pressure (PAP), and patient adherence is considered as a major determining factor for success of PAP therapy. This study was performed to determine the potential factors affecting the adherence to PAP in patients with OSA b...

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Main Authors: Hyun-Ho Kwak, Ji-Hwan Park, Dong-Joo Lee, Gyo Han Bae, Sung-Dong Kim, Kyu-Sup Cho
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-49959-5
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author Hyun-Ho Kwak
Ji-Hwan Park
Dong-Joo Lee
Gyo Han Bae
Sung-Dong Kim
Kyu-Sup Cho
author_facet Hyun-Ho Kwak
Ji-Hwan Park
Dong-Joo Lee
Gyo Han Bae
Sung-Dong Kim
Kyu-Sup Cho
author_sort Hyun-Ho Kwak
collection DOAJ
description Abstract Upper airway collapse can be effectively dealt with positive airway pressure (PAP), and patient adherence is considered as a major determining factor for success of PAP therapy. This study was performed to determine the potential factors affecting the adherence to PAP in patients with OSA by using polysomnography (PSG) parameters recorded for diagnosis of OSA. The data of 158 patients between December 2018 and July 2021 were collected. They were prescribed with PAP and used the device during the adaptation period for 90 days. They were categorized into adherent and non-adherent group according to the criteria of good adherence as use of PAP ≥ 4 h per night on 70% of nights. Demographic, clinical characteristics, and PSG results were reviewed. Among 158 patients engaged in PAP therapy, 121 patients (76.6%) met the criteria of good adherence. No significant differences were found in good adherence rate regarding demographic and clinical characteristics. None of the polysomnographic factors showed significant differences between adherent and non-adherent groups. However, the percentage of sleep time on back in the adherent group was significantly higher than non-adherent group (p = 0.041). The cut-off value was determined to be 41.45% (95% confidence interval 0.43 to 0.79) by receiver operating characteristic curve analysis and the odds ratio was calculated as 2.97. Only the percentage of sleep time on back appeared to be polysomnographic predictor for identifying good adherence to PAP therapy in OSA patients. However, the conclusions may be limited in generalization due to the small sample size.
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spelling doaj.art-e976e65794b44bf4a815908fabd123302023-12-17T12:17:29ZengNature PortfolioScientific Reports2045-23222023-12-011311710.1038/s41598-023-49959-5Sleep time on back as a predictor of adherence to positive airway pressure therapyHyun-Ho Kwak0Ji-Hwan Park1Dong-Joo Lee2Gyo Han Bae3Sung-Dong Kim4Kyu-Sup Cho5Department of Otorhinolaryngology and Biomedical Research Institute, Pusan National University School of Medicine, Pusan National University HospitalDepartment of Otorhinolaryngology and Biomedical Research Institute, Pusan National University School of Medicine, Pusan National University HospitalDepartment of Otorhinolaryngology and Biomedical Research Institute, Pusan National University School of Medicine, Pusan National University HospitalDepartment of Otorhinolaryngology and Biomedical Research Institute, Pusan National University School of Medicine, Pusan National University HospitalDepartment of Otorhinolaryngology and Biomedical Research Institute, Pusan National University School of Medicine, Pusan National University HospitalDepartment of Otorhinolaryngology and Biomedical Research Institute, Pusan National University School of Medicine, Pusan National University HospitalAbstract Upper airway collapse can be effectively dealt with positive airway pressure (PAP), and patient adherence is considered as a major determining factor for success of PAP therapy. This study was performed to determine the potential factors affecting the adherence to PAP in patients with OSA by using polysomnography (PSG) parameters recorded for diagnosis of OSA. The data of 158 patients between December 2018 and July 2021 were collected. They were prescribed with PAP and used the device during the adaptation period for 90 days. They were categorized into adherent and non-adherent group according to the criteria of good adherence as use of PAP ≥ 4 h per night on 70% of nights. Demographic, clinical characteristics, and PSG results were reviewed. Among 158 patients engaged in PAP therapy, 121 patients (76.6%) met the criteria of good adherence. No significant differences were found in good adherence rate regarding demographic and clinical characteristics. None of the polysomnographic factors showed significant differences between adherent and non-adherent groups. However, the percentage of sleep time on back in the adherent group was significantly higher than non-adherent group (p = 0.041). The cut-off value was determined to be 41.45% (95% confidence interval 0.43 to 0.79) by receiver operating characteristic curve analysis and the odds ratio was calculated as 2.97. Only the percentage of sleep time on back appeared to be polysomnographic predictor for identifying good adherence to PAP therapy in OSA patients. However, the conclusions may be limited in generalization due to the small sample size.https://doi.org/10.1038/s41598-023-49959-5
spellingShingle Hyun-Ho Kwak
Ji-Hwan Park
Dong-Joo Lee
Gyo Han Bae
Sung-Dong Kim
Kyu-Sup Cho
Sleep time on back as a predictor of adherence to positive airway pressure therapy
Scientific Reports
title Sleep time on back as a predictor of adherence to positive airway pressure therapy
title_full Sleep time on back as a predictor of adherence to positive airway pressure therapy
title_fullStr Sleep time on back as a predictor of adherence to positive airway pressure therapy
title_full_unstemmed Sleep time on back as a predictor of adherence to positive airway pressure therapy
title_short Sleep time on back as a predictor of adherence to positive airway pressure therapy
title_sort sleep time on back as a predictor of adherence to positive airway pressure therapy
url https://doi.org/10.1038/s41598-023-49959-5
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