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Record W2608209882 · doi:10.1093/sleepj/zsx050.282

0283 SUBJECTIVE COGNITIVE COMPLAINT IN LATE MIDDLE-AGED AND OLDER INDIVIDUALS WITH OBSTRUCTIVE SLEEP APNEA

2017· article· en· W2608209882 on OpenAlexaffabout
K. Gagnon, Andrée‐Ann Baril, Jacques Montplaisir, Julie Carrier, Caroline d'Aragon, Serge Gauthier, Christophe Lafond, Jean Gagnon, Nadia Gosselin

Bibliographic record

VenueSLEEP · 2017
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsMcGill UniversityHôpital du Sacré-Cœur de MontréalUniversité de MontréalCanadian Sleep & Circadian NetworkUniversité du Québec à Montréal
FundersNational Institute on AgingGeorgia Clinical and Translational Science Alliance
KeywordsMedicineObstructive sleep apneaPolysomnographyCognitive declineInternal medicineMoodRisk factorDementiaPittsburgh Sleep Quality IndexPhysical therapySleep apneaApnea–hypopnea indexMontreal Cognitive AssessmentCognitionApneaClinical psychologyPsychiatryDisease

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.294
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2017
Admission routes2
Has abstractyes

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