0459 Cardiovascular Dysfunctions Associated with Sleep-related Breathing Disturbances
Bibliographic record
Abstract
Convincing evidence emphasizes cardiac arrhythmias and sleep-disordered breathing (SDB) as independent risk factors for stroke and cardiovascular mortality. Sleep research focused on acute cardiac events following respiratory disturbances (ACERD) may provide deeper insights into the link between nocturnal cardiovascular deterioration and central dysautonomia. We aimed to investigate ACERD occurrence across sleep stages in people with various degrees of SDB. Clinical polysomnography for 221 individuals with sleep complaints referred to a sleep clinic was analyzed to identify the co-occurrence of ACERD within hazard period of 90 seconds. Beside the apnea hypopnea index (AHI), a respiratory-cardiac index (RCI) was calculated as the total count of respiratory-to-cardiac events occurring during specific sleep stage divided by the number of minutes spent in the sleep stage. People with low SDB (AHI<15) presented with higher RCI in rapid eye movement (REM) sleep than in non-REM sleep (t(176) = -2.6, p = 0.010), but no significant difference between REM and NREM RCI were found for those with higher SDB (AHI≥15). Higher RCI during REM correlated with higher sleep fragmentation (r = -0.14, p = 0.038). Higher RCI during NREM sleep correlated with older age (r = 0.22, p < 0.001) and higher sleep fragmentation (r = -0.29, p < 0.001). There was no significant correlation between RCI and body mass indexes, AHI or Epworth Sleepiness Scale scores. In mild SDB, REM associated breathing disruptions may have a stronger connection to acute cardiovascular dysregulation than those arising during NREM. In severe sleep apnea, ACERD may be more pervasive across sleep stages. Hypothetically, the interaction between SDB and cardiovascular regulation may be influenced by REM-specific autonomic sensitivity, but may further extend towards NREM dysautonomia as the severity of sleep apnea progresses. Further research is necessary to determine whether AHI modulates REM and NREM autonomic functions related to ACERD. N/A.
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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) | 0.008 | 0.001 |
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".