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Record W7120677938

Evaluation of cognitive alterations, mental health and quality of life in adult patients with Sleep Disordered Breathing

2020· article· pt· W7120677938 on OpenAlexaboutno aff
Priscila Calixto [UNIFESP] Klichouvicz

Bibliographic record

VenueUNIFESP Institutional Repository (Universidade Federal de São Paulo) · 2020
Typearticle
Languagept
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsnot available
Fundersnot available
KeywordsEpworth Sleepiness ScaleBeck Depression InventoryPolysomnographyQuality of life (healthcare)Pittsburgh Sleep Quality IndexBeck Anxiety InventoryExcessive daytime sleepinessMontreal Cognitive AssessmentAnxietyMood
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Sleep Disordered Breathing (SDB) can lead to cognitive impairments, mood and can reduce patient´s quality of life. There are different cognitive domains, such as intelligence, memory, attention, language, executive functions, among others. Estimate that cognitive impairment is caused by serious disorders, however, the magnitude of these impairments is not very likely, especially in the mild forms, including Upper Airway Resistance Syndrome (UARS) and Mild Obstructive Sleep Apnea (OSA). Objective: This study aimed to evaluate the cognitive functions, mental health and quality of life in patients with mild SDB. Methods: 52 participants with either genders and with body mass index (BMI) < 35 Kg/m2 were included; between the ages of 25 to 50 years, according to clinical polysomnographic diagnosis of UARS (AHI score < 5 events/hours and RDI score ≥ 5 events/hour with excessive daytime sleepiness (EDS) complaints and Epworth Sleepiness Scale scores (ESS) > 10 and/or the Modified Fatigue Impact Scale scores ≥ 38); Mild OSA (5 events/hour ≤ AHI < 15 events/hour with complains) and control group without diagnosis of Sleep Breathing Disorders and no complains. Participants were allocated into 2 groups: Group 1 – Control group (n = 19) and Group 2 – UARS + mild OSA or mild SDB (n = 33). The evaluations consisted of full-night polysomnography exam (PSG); Epworth Sleepiness Scale (ESS); Pittsburgh Sleep Quality Index (PSQI); Modified Fatigue Impact Scale (MFIS-BR); Functional Outcomes of Sleep Questionnaire (FOSQ); application of cognitive instruments to assess memory, attention, executive functions; application of Beck Depression Inventory; Beck Anxiety Inventory; Lipp`s Stress Symptoms Inventory for Adults (ISSL) and finally anthropometric measurements were also collected. Results: Regarding the sleep structure, it was found that the mild SDB group showed higher proportion of the sleep stage N2 and lower proportion of sleep stage N3 when compared to the control group (p= 0,006, p=0,008, respectively). For the cognitive assessment it was observed that patients with mild Sleep Disordered Breathing had a lower performance in the immediate episodic memory domain (p=0,02) with no significant differences in the other cognitive functions evaluated. The mild SDB group showed an increase in the depressive symptoms and in the fatigue score when compared to control group (p = 0,05, p = 0,007, respectively). Conclusions: Mild SDB may be associated with symptoms of depression, fatigue and changes in sleep structure with reduced slow- wave sleep. Cognitive alteration was observed in the domain of verbal episodic memory, however, in the absence of other changes it may not have relevant clinical significance. Interestingly and contrary to our hypothesis, the UARS group showed more cognitive changes, consistently and significantly when compared to mild OSA group, however UARS and mild OSA group did not differ in relation to symptoms of depression, anxiety, stress, fatigue, impact of sleepiness on quality of life, excessive sleepiness and some sleep parameters.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.033
GPT teacher head0.300
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

Citations0
Published2020
Admission routes1
Has abstractyes

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