Improvement of sleep parameters by titration polysomnography could predict adherence to positive airway pressure therapy in obstructive sleep apnea
© 2023 American Academy of Sleep Medicine..
STUDY OBJECTIVES: Poor adherence to continuous positive airway pressure (CPAP) has been a critical issue in treating obstructive sleep apnea. Because long-term CPAP adherence may be established shortly after treatment begins, early intervention is essential. This study aimed to identify the potential factors affecting CPAP therapy adherence during diagnostic polysomnography and auto CPAP titration polysomnography.
METHODS: This retrospective observational study included 463 patients with obstructive sleep apnea who underwent consecutive diagnostic polysomnography and titration polysomnography. We recorded their demographic, anthropometric, and lifestyle factors and obtained self-reported comments regarding their sleep status following both polysomnography evaluations. CPAP adherence was evaluated following 3 months of treatment.
RESULTS: A total of 312 patients (67.4%) fulfilled the criteria for good adherence. Each patient's CPAP adherence was categorized as "poor" (< 4 hours/night or <70% of nights), "good" (≥ 4 hours/night and ≥ 70% of nights), or "excellent" (≥ 6 hours/night and ≥ 80% of nights). There were no significant differences in arterial oxyhemoglobin saturation measured by pulse oximetry and apnea-hypopnea index during diagnostic polysomnography among 3 groups. The polysomnographic evaluations indicated that patients with better adherence displayed more significant improvements in sleep parameters, including apnea-hypopnea index, sleep efficacy, sleep latency, and sleep architecture, which were correlated with an improvement in self-reported sleep quality.
CONCLUSIONS: Polysomnographic evaluations enabled CPAP adherence prediction and a comparison of self-reported sleep quality with and without CPAP; CPAP adherence led to improvements in polysomnographic parameters. Our findings suggest that titration polysomnography and self-reported sleep improvement with CPAP could be used for adherence prediction in clinical practice.
CITATION: Shirahata T, Uchida Y, Uchida T, et al. Improvement of sleep parameters by titration polysomnography could predict adherence to positive airway pressure therapy in obstructive sleep apnea. J Clin Sleep Med. 2023;19(8):1465-1473.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:19 |
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| Enthalten in: |
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine - 19(2023), 8 vom: 01. Aug., Seite 1465-1473 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Shirahata, Toru [VerfasserIn] |
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| Links: |
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| Themen: |
Adherence |
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| Anmerkungen: |
Date Completed 05.10.2023 Date Revised 10.10.2023 published: Print Citation Status MEDLINE |
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| doi: |
10.5664/jcsm.10606 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 245 | 1 | 0 | |a Improvement of sleep parameters by titration polysomnography could predict adherence to positive airway pressure therapy in obstructive sleep apnea |
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| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023 American Academy of Sleep Medicine. | ||
| 520 | |a STUDY OBJECTIVES: Poor adherence to continuous positive airway pressure (CPAP) has been a critical issue in treating obstructive sleep apnea. Because long-term CPAP adherence may be established shortly after treatment begins, early intervention is essential. This study aimed to identify the potential factors affecting CPAP therapy adherence during diagnostic polysomnography and auto CPAP titration polysomnography | ||
| 520 | |a METHODS: This retrospective observational study included 463 patients with obstructive sleep apnea who underwent consecutive diagnostic polysomnography and titration polysomnography. We recorded their demographic, anthropometric, and lifestyle factors and obtained self-reported comments regarding their sleep status following both polysomnography evaluations. CPAP adherence was evaluated following 3 months of treatment | ||
| 520 | |a RESULTS: A total of 312 patients (67.4%) fulfilled the criteria for good adherence. Each patient's CPAP adherence was categorized as "poor" (< 4 hours/night or <70% of nights), "good" (≥ 4 hours/night and ≥ 70% of nights), or "excellent" (≥ 6 hours/night and ≥ 80% of nights). There were no significant differences in arterial oxyhemoglobin saturation measured by pulse oximetry and apnea-hypopnea index during diagnostic polysomnography among 3 groups. The polysomnographic evaluations indicated that patients with better adherence displayed more significant improvements in sleep parameters, including apnea-hypopnea index, sleep efficacy, sleep latency, and sleep architecture, which were correlated with an improvement in self-reported sleep quality | ||
| 520 | |a CONCLUSIONS: Polysomnographic evaluations enabled CPAP adherence prediction and a comparison of self-reported sleep quality with and without CPAP; CPAP adherence led to improvements in polysomnographic parameters. Our findings suggest that titration polysomnography and self-reported sleep improvement with CPAP could be used for adherence prediction in clinical practice | ||
| 520 | |a CITATION: Shirahata T, Uchida Y, Uchida T, et al. Improvement of sleep parameters by titration polysomnography could predict adherence to positive airway pressure therapy in obstructive sleep apnea. J Clin Sleep Med. 2023;19(8):1465-1473 | ||
| 650 | 4 | |a Observational Study | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a adherence | |
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| 650 | 4 | |a obstructive sleep apnea | |
| 650 | 4 | |a polysomnography | |
| 650 | 4 | |a self-reported sleep quality | |
| 700 | 1 | |a Uchida, Yoshitaka |e verfasserin |4 aut | |
| 700 | 1 | |a Uchida, Takahiro |e verfasserin |4 aut | |
| 700 | 1 | |a Shinomiya, Shun |e verfasserin |4 aut | |
| 700 | 1 | |a Sato, Hideaki |e verfasserin |4 aut | |
| 700 | 1 | |a Yamazaki, Susumu |e verfasserin |4 aut | |
| 700 | 1 | |a Yogi, Sanehiro |e verfasserin |4 aut | |
| 700 | 1 | |a Masaki, Kenji |e verfasserin |4 aut | |
| 700 | 1 | |a Akagami, Tomoe |e verfasserin |4 aut | |
| 700 | 1 | |a Soma, Machika |e verfasserin |4 aut | |
| 700 | 1 | |a Ohmura, Kazuyuki |e verfasserin |4 aut | |
| 700 | 1 | |a Miyashita, Tatsuyuki |e verfasserin |4 aut | |
| 700 | 1 | |a Kanazawa, Minoru |e verfasserin |4 aut | |
| 700 | 1 | |a Nagata, Makoto |e verfasserin |4 aut | |
| 700 | 1 | |a Nakamura, Hidetoshi |e verfasserin |4 aut | |
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