Telemedicine for Continuous Positive Airway Pressure in Sleep Apnea. A Randomized, Controlled Study
Bibliographic record
Abstract
Abstract Rationale Continuous positive airway pressure (CPAP) is the standard treatment for the obstructive sleep apnea syndrome (OSAS), but long-term adherence remains a challenge. In a pilot study, we observed that telemedicine combined with telemetrically triggered interventions was associated with improved CPAP adherence in the first month of treatment. Objectives In the current randomized, controlled phase III trial, we aimed to collect pivotal data for the use of telemedicine in CPAP treatment of patients with OSAS. Methods Symptomatic patients with OSAS were randomized to a telemedicine or control arm and initiated CPAP treatment. Phone calls were triggered in the telemedicine group during the first month of treatment upon either poor use or excessive mask leakage. Patients were followed for 6 months. Measures of CPAP use at 6 months were the main study endpoints. Results Among 240 patients enrolled, 71 (30%) discontinued CPAP treatment over the course of the study. The primary outcome measure, the proportion of nights with CPAP use greater than 1 hour, was not statistically different in the telemedicine group (92.0%) versus the control group (88.2%) (P = 0.565). The daily hours of CPAP use at 6 months also did not differ significantly between the telemedicine group (5.6 h) and the control group (4.8 h) (P = 0.663). However, in a post hoc analysis, telemedicine led to increased device use in a subgroup of patients with a mild form of disease (5.6 h vs. 3.4 h; P = 0.026). The telemedicine-based intervention had a positive impact on sleep-related quality of life as measured with the Quebec Sleep Questionnaire (5.55 vs. 5.49 at 1 mo [P = 0.020]; 5.61 vs. 5.46 at 6 mo [P = 0.013]). Conclusions A telemetrically triggered intervention in the first month of treatment did not improve CPAP use in the study population overall, but it had positive effects in patients with a mild form of OSAS and led to an improvement in sleep-related quality of life. Clinical trial registered with www.clinicaltrials.gov (NCT01715194).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".