0670 Respiratory Event-Related Hypoxemia, Electroencephalographic Response and Subjective Sleepiness in OSA
Bibliographic record
Abstract
Abstract Introduction Standard metrics of obstructive sleep apnea (OSA) severity, such as apnea-hypopnea index (AHI), do not correlate well with daytime sleepiness. In OSA patients, there is considerable variability in the severity of hypoxemia and the electroencephalographic (EEG) response associated with respiratory events. We hypothesized that nocturnal hypoxemia and EEG responses would be associated with subjective daytime sleepiness in patients with moderate-to-severe OSA. Methods We used cross-sectional data from participants enrolled in a Canadian Sleep and Circadian Network’s clinical cohort of patients with suspected OSA who had moderate-to-severe OSA (AHI>15/hr). Event-related hypoxemia was quantified as the mean event-related hypoxic burden (HBev): mean area under the oxygen desaturation curve. EEG responses to respiratory events were quantified by calculating the power ratio (log(mean absolute power 6s after / mean absolute power 6s before the event)) across EEG frequency bands; subject-specific responses were defined as the mean EEG response across all events. We calculated an overall Brain Response to Events (BReTE) metric by summing power ratios across all frequency bands. Subjective daytime sleepiness was assessed by the Epworth Sleep Scale (ESS) with an ESS>10 considered indicative of daytime sleepiness). Logistic regression, controlling for age, body mass index, race, sex, AHI and comorbidities was employed to investigate hypothesized associations. Results We studied 468 patients (40%female) with a median [IQR] age=56 years [46,63], AHI=43events/hr [23,87], HBev=1.87%min [1.24,2.69]. More severe hypoxemia and a lower EEG response were independently associated with higher odds of daytime sleepiness. One standard deviation (SD) increase in HBev was associated with 41% higher odds of daytime sleepiness (95% CI: 1.14-1.75,p< 0.01), while a one SD increase in BReTE was associated with 27% lower odds of daytime sleepiness (95%CI: 0.58-0.91,p< 0.01). Blunted EEG responses were more prevalent across beta and gamma EEG frequencies. AHI was not associated with daytime sleepiness. Conclusion Greater event-related hypoxemia and blunted EEG responses were independently associated with subjective daytime sleepiness in moderate-to-severe OSA, emphasizing the pivotal roles of hypoxemia and EEG in evaluating daytime sleepiness in OSA. EEG findings could be the result of adaptations to chronic OSA exposure, resulting in reduced arousal responses. Future prospective studies should explore these intricate associations further. Support (if any)
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".