Comorbidity and healthcare costs in patients with obstructive sleep apnoea
Bibliographic record
Abstract
Educational aims To provide physicians with knowledge of common comorbid conditions associated with obstructive sleep apnoea (OSA). To emphasise the healthcare burden and costs associated with OSA. Recognise the role of risk stratification in identifying patients who are likely to develop OSA-related complications. Summary OSA is common, with an estimated prevalence of up to 20%. Observational studies have found OSA to be associated with increased cardiovascular morbidity, mortality and healthcare costs. Continuous positive airway pressure (CPAP) has been shown to be an effective therapy for OSA. Unfortunately, clinical trials assessing the effectiveness of CPAP to mitigate associated morbidity are limited and those that have been conducted show variable findings, with not all patients benefiting from treatment. Given the prevalence of OSA in the general population, treatment of all individuals would be costly and unnecessary. Recent work suggests that the heterogeneity in clinical trial results may be driven by the inability to identify at-risk groups. Identifying patients with clinically relevant sequelae may be useful for targeting treatment to those at greatest risk. In this review, we discuss the potential association between OSA and comorbid conditions, as well as the economic and health impact of such associations. We also highlight the importance of risk stratification in identifying patients who are likely to develop OSA-related complications and adverse health outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".