0283 SUBJECTIVE COGNITIVE COMPLAINT IN LATE MIDDLE-AGED AND OLDER INDIVIDUALS WITH OBSTRUCTIVE SLEEP APNEA
Bibliographic record
Abstract
Subjective cognitive complaint (SCC) increases the risk of mild cognitive impairment (MCI) and dementia. Obstructive sleep apnea (OSA) has recently been identified as a risk factor of MCI and dementia in the elderly. However, the ability of SCC to predict cognitive dysfunction and cognitive decline over time among individual with OSA need to be investigated. Objectives: To clarify weather OSA is a risk factor of SCC and investigate how SCC is associated with objective cognitive decline in older individuals presenting OSA. One hundred eleven subjects (age: 55–85; apnea-hypopnea index: 0.25–84.74) were included at baseline and 62 subjects were followed 1.5-years after. All subjects underwent an overnight polysomnography at the baseline. At both visits, SCC was evaluated using standardized questionnaires and a single question asked by clinician during the neuropsychological assessment. Logistic regressions on SCC and MCI measures with demographic (age, education), clinical (mood, sleep quality, vascular index, ApoE4) and respiratory variables were performed. Moreover, (2X2) ANOVA with two independent variables (OSA group: OSA+/OSA- X Cognitive status: MCI+/MCI-) were performed on SCC questionnaires. Variables related to OSA, namely apnea-hypopnea index, hypoxemia and sleep fragmentation, did not increase the risk of SCC or MCI. In fact, higher scores on mood and sleep quality questionnaires increased the risk of SCC [OR 2.13 and 11.65], while higher education decreased the risk of MCI [OR 0.78 and 0.71] at the baseline and follow-up. Significant OSA group X Cognitive status interactions were found for SCC questionnaires. Interestingly, OSA+/MCI+ participants reported significantly fewer SCC compared to OSA+/MCI-. An opposite relation was found in healthy controls: OSA-/MCI+ had more SCC than OSA-/MCI-. Although OSA does not predict SCC and cognitive decline in our sample, there is a disconnection between SCC and the objective presence of MCI in OSA that is not observed in control subjects. More specifically, older individuals with OSA are less aware of their cognitive deficits compared to individuals without OSA. Our results stress the importance of an objective neuropsychological evaluation of older patients with OSA. Canadian Institutes of Health Research and Fonds de Recherche du Québec - Santé.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".