Obstructive sleep apnea is prevalent in patients with pulmonary embolism
Bibliographic record
Abstract
PURPOSE: Obstructive sleep apnea (OSA) syndrome causes systemic consequences due to hypoxia and endothelial dysfunction. The purpose of this study was to investigate whether OSA is more common in subjects with pulmonary embolism (PE). METHODS: This prospective study was conducted between November 2009 and December 2010 in the Department of Pulmonary Medicine of Gaziantep University. Twenty-eight patients with PE were included in the study group along with forty-five subjects with OSA as the control group. The control group was selected from among subjects who were referred to the sleep clinic. Full night polysomnography was performed for each subject. RESULTS: Mean apnea-hypopnea index (AHI) was found to be higher in the PE group compared with the control group (p=0.010). Severe OSA was detected in 21.4% of the PE group but in no controls (p=0.015). Sleep stage 2 was longer in control group whereas stage 1 and rapid eye movement (REM) sleep was longer in the PE group. Snoring and excessive daytime sleepiness were more common in the control group compared with the study group. AHI severity and thrombus localization were not significantly different between the groups (p=0.350). CONCLUSION: Our study findings suggest that OSA is more prevalent and severe in subjects with PE compared with control subjects. The clinical significance of less prevalent excessive daytime sleepiness and snoring in subjects with PE should be evaluated in further studies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".