Obstructive Sleep Apnea and the Risk of Cognitive Decline in Older Adults
Bibliographic record
Abstract
Obstructive sleep apnea causes intermittent hypoxia and sleep fragmentation and affects at least 20% of individuals after the age of 65. There is accumulating evidence that obstructive sleep apnea may impact brain structure and function. Recent cohort studies suggest that it is a risk factor for stroke, mild cognitive impairment and Alzheimer’s disease. Because prevention through treatment of risk factors is currently the main intervention for reducing the incidence of dementia, how obstructive sleep apnea affects brain health and whether its treatment can slow neurodegeneration are relevant questions. This Perspective Article presents the most recent findings on the neurocognitive consequences of obstructive sleep apnea in the elderly. We focus on the aging brain and the link between obstructive sleep apnea, brain health, cognitive decline and dementia. We present how new discoveries from animal models, human sleep experiments, and Alzheimer’s disease biomarkers point to an active role of disturbed sleep in dementia pathogenesis. We show preliminary data on how sex, genetics, physical exercise and cognitive reserve can strengthen or weaken the association between obstructive sleep apnea and dementia. We present preliminary results of obstructive sleep apnea treatment, which can slow, stop or reverse neurodegenerative processes accentuated by obstructive sleep apnea, even in individuals already affected by a neurodegenerative disease. We propose future research directions that include studies on mild/moderate untreated obstructive sleep apnea, the evaluation of continuous positive airway pressure treatment to slow neurodegeneration and follow-up studies of older patients that measure predictors/markers of dementia
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".