The Interaction of Obesity and Nocturnal Hypoxemia on Cardiovascular Consequences in Adults with Suspected Obstructive Sleep Apnea. A Historical Observational Study
Bibliographic record
Abstract
Abstract Rationale The interrelationships between obstructive sleep apnea (OSA) and obesity are complex and bidirectional; however, current evidence regarding their combined effect on cardiovascular risk is limited and conflicting. Animal studies suggest that obesity may exacerbate the cardiovascular consequences of intermittent hypoxemia. Objectives In this historical observational study, we investigated whether obesity increases the effect of nocturnal hypoxemia on the incidence of cardiovascular events in adults with suspected OSA. Methods All adults with suspected OSA who underwent diagnostic polysomnography at a large academic hospital between 1994 and 2010 were linked to provincial health administrative data to determine a composite cardiovascular outcome (hospitalization due to heart failure, myocardial infarction, stroke, or revascularization procedures). Using a competing-risk model and controlling for confounders, hazards were compared between four groups: group 1 comprised obese patients (body mass index >30 kg/m2) with oxygen desaturation (>9 min of sleep spent with SaO2 <90%); group 2 comprised obese patients without desaturation; group 3 comprised nonobese patients with desaturation; and group 4 comprised nonobese patients without desaturation. Interaction was measured using the relative excess risk due to interaction. Measurements and Main Results A total of 10,149 participants were followed, with 17%, 25%, 8%, and 50% in groups 1–4, respectively. Over a median of 7.8 years, 896 (8.8%) first cardiovascular events occurred. Group 1 was associated with the highest hazard compared with the other groups, using group 4 as a reference (hazard ratio [HR] for group 1, 1.84; 95% confidence interval [CI], 1.46–2.32; HR for group 2, 1.59, 95% CI, 1.29–1.95; HR for group 3, 1.51; 95% CI, 1.15–1.98). The relative excess risk due to interaction was −0.25 (95% CI, −0.78 to 0.27), indicating no interaction. Conclusions In adults with suspected OSA, the highest cardiovascular risk was found in obese patients with nocturnal oxygen desaturation; however, the effect of these two factors together does not exceed the effect of each factor considered individually.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".