ArticleSleep & breathing = Schlaf & Atmung2023
Use of historical remote monitoring data to determine predictors of CPAP non-compliance in patients with OSA.
Article in Sleep & breathing = Schlaf & Atmung, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Polysomnographic parameters predicting positive airway pressure adherence.Sleep & breathing = Schlaf & Atmung · 2025Article
- Patterns and stability of long-term adherence in continuous positive airway pressure therapy for obstructive sleep apnea: a cohort study.Sleep & breathing = Schlaf & Atmung · 2025Article
- Use of Hypoglossal Nerve Stimulation for Treating OSA in Military Patient Populations.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2024Review
- Long-Term Adherence to Continuous Positive Airway Pressure in Patients with Obstructive Sleep Apnoea Set Up in a Complete Remote Pathway: A Single-Centre Service Evaluation Project.Journal of clinical medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeContinuous positive airway pressure (CPAP) is the gold standard treatment for obstructive sleep apnoea. This study aimed to use complete usage data collected remotely from modern CPAP devices to identify compliance trends and clinical predictors of CPAP usage.
methodsGroup usage data were analysed for a large cohort at a single tertiary sleep-centre before a detailed review of a 90-day reporting window for each patient was conducted. Individual data were collected for a smaller cohort of patients including demographics, past medical history and diagnostic sleep study results. A zero-inflated negative binomial regression model was used to determine associations between patient characteristics and usage days.
resultsOf 6450 patients who were prescribed CPAP and included in the initial service analysis, 476 patients were included in the sub-group. Complete usage data revealed that 46% of patients were fully compliant with CPAP therapy. Compliance fell from 55 to 46% by day 90 and remained at this rate going forward. Significant predictors of CPAP non-compliance included being in the lowest quartile of Index of Multiple Deprivation scores (most deprived) compared with the highest quartile (least deprived) (p = .005), and less severe oxygen desaturation index (ODI) on diagnosis (p = .03).
conclusionsComplete usage data show that compliance at day 90 appears to be a good indicator of future CPAP usage. Predictors of CPAP non-compliance may include lower socioeconomic status, and lower ODI.
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Registered trials
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