Cognitive impairment in obstructive sleep apnea syndrome: a descriptive review

Caporale, Mina; Palmeri, Rosanna; Corallo, Francesco; Muscarà, Nunzio; Romeo, Laura; Bramanti, Alessia; Marıno, Silvia; Buono, Viviana Lo

doi:10.1007/s11325-020-02084-3

Cited by 31 publications

(18 citation statements)

References 54 publications

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“…There is often a lack of correlation between changes in the brain and differences in neuropsychological measurements. 26 Therefore, future research may need to choose more objective methods to confirm whether slow-frequency EEG activity indicators (such as DAR and TSR) can be used as biomarkers of cognitive function in patients with OSA.…”

Section: Discussionmentioning

confidence: 99%

Electroencephalographic Activity and Cognitive Function in Middle-Aged Patients with Obstructive Sleep Apnea Before and After Continuous Positive Airway Pressure Treatment

Wang

Liu

et al. 2021

NSS

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Section: Discussionmentioning

confidence: 99%

Electroencephalographic Activity and Cognitive Function in Middle-Aged Patients with Obstructive Sleep Apnea Before and After Continuous Positive Airway Pressure Treatment

Wang

Liu

et al. 2021

NSS

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“…The mechanism of daytime sleepiness in OSAHS patients is not clear. At present, it is generally believed that it is related to sleep fragmentation and nocturnal hypoxemia, which can also be independent risk factors [ 16 ]. The main manifestations were obvious nocturnal hypoxia in tissue, shortened sleep latency, and improved sleep efficiency.…”

Section: Discussionmentioning

confidence: 99%

Influencing Factors of Daytime Sleepiness in Patients with Obstructive Sleep Apnea Hypopnea Syndrome and Its Correlation with Pulse Oxygen Decline Rate

Zhang

Duan

et al. 2021

Evidence-Based Complementary and Alternative Medicine

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Objective. To explore the influencing factors of daytime sleepiness in patients with obstructive sleep apnea hypopnea syndrome (OSAHS) and the correlation between daytime sleepiness and pulse oxygen decline rate in patients with severe OSAHS. Methods. From January 2018 to April 2021, 246 consecutive patients with OSAHS diagnosed by polysomnography (PSG) in our hospital were selected. All patients were grouped according to the minimum nocturnal oxygen saturation and apnea hypopnea index (AHI). There were 33 cases in the no sleep hypoxia group, 34 cases in the mild hypoxia group, 119 cases in the moderate hypoxia group, and 60 cases in the severe hypoxia group. There were 30 cases in the simple snoring group, 55 cases in the mild OSAHS group, 48 cases in the moderate OSAHS group, and 113 cases in the severe OSAHS group. The Epworth Sleepiness Scale (ESS) scores of each group were compared. All patients were grouped according to ESS score. Those with score ≥9 were included in the lethargy group (n = 118), and those with score ≤10 were included in the no lethargy group (n = 128). Univariate and multivariate logistic regression analyses were used to explore the influencing factors of daytime sleepiness in OSAHS patients. Pearson correlation analysis showed the correlation between ESS score and pulse oxygen decline rate in patients with severe OSAHS. Results. The ESS score of the severe hypoxia group > the moderate hypoxia group > the mild hypoxia group > the no sleep hypoxia group. There was significant difference among the groups (F = 19.700, P < 0.0001 ). There were significant differences between the severe hypoxia group and other groups and between the moderate hypoxia group and the no sleep hypoxia group and the mild hypoxia group ( P < 0.05 ). The ESS score of the severe OSAHS group > the moderate OSAHS group > the mild OSAHS group > the simple snoring group. There was significant difference among the groups (F = 19.000, P < 0.0001 ). There were significant differences between the severe OSAHS group and other groups and between the moderate OSAHS group and the simple snoring group ( P < 0.05 ). Univariate analysis showed that BMI, neck circumference, snoring degree, total apnea hypopnea time, AHI, micro arousal index (MAI), oxygen saturation (CT90%), lowest oxygen saturation (LSaO2), and mean oxygen saturation (MSaO2) were the influencing factors of daytime sleepiness in OSAHS patients ( P < 0.05 ). Multiple logistic regression analysis showed that AHI and CT90% were independent risk factors for daytime sleepiness in OSAHS patients ( P < 0.05 ). Pearson correlation analysis showed that there was a positive correlation between ESS score and pulse oxygen decline rate in patients with severe OSAHS (r = 0.765, P < 0.0001 ). Conclusion. OSAHS patients may be accompanied by daytime sleepiness in varying degrees, which may be independently related to AHI and CT90%. The degree of daytime sleepiness in patients with severe OSAHS may be closely related to the decline rate of pulse oxygen, which should be paid great attention in clinic.

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“…This is comparable to obstructive sleep apnoea (OSA) in man, 18 described as episodes of partial or total upper airway collapse alternating with normal breathing patterns during sleep 19 . OSA is a well‐documented condition in humans, where clinical signs include restless sleep, snoring and daytime sleepiness 20 . Less common signs include headaches, insomnia, difficulty concentrating and irritability.…”

Section: Introductionmentioning

confidence: 99%

Owner reported breathing scores, accelerometry and sleep disturbances in brachycephalic and control dogs: A pilot study

Barker

Tovey

Jeffery³

et al. 2021

Veterinary Record

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Objectives: To compare physical activity and length and quality of sleep between brachycephalic dogs and a control population. Methods: Brachycephalic and control dogs were prospectively enrolled. Length of activity and sleep were determined via accelerometer use. Owners completed a questionnaire regarding typical daily activity, sleep patterns and an ‘owner reported breathing score (ORBS)’. One hour of normal home sleep was recorded for each dog, and a veterinary observer subjectively scored the dogs' sleep quality. Results: Twenty brachycephalic and 15 control dogs were included. There were no differences between age and weight. Owners reported brachycephalic dogs to be less active (p = 0.022) and have higher ORBS (p < 0.001) compared to control dogs. Brachycephalic dogs had increased sleep disturbances compared to control dogs (p = 0.001), and video sleep score was positively correlated with increased sleep disturbances (r2 = 0.47, p = 0.007). There were no differences in active and sleep times based on accelerometry between groups. Conclusion: Brachycephalic dogs have more disturbed sleep, which may have negative implications on welfare, but there were no differences in activity or length of sleep between groups. There is evidence that signs suggestive of brachycephalic obstructive airway syndrome (BOAS) as assessed by ORBS is correlated with poorer sleep quality, indicating that reduced sleep quality is part of BOAS. Owners may underestimate disturbed sleep or may perceive disturbed sleep to be normal.

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Cognitive impairment in obstructive sleep apnea syndrome: a descriptive review

Cited by 31 publications

References 54 publications

Electroencephalographic Activity and Cognitive Function in Middle-Aged Patients with Obstructive Sleep Apnea Before and After Continuous Positive Airway Pressure Treatment

Electroencephalographic Activity and Cognitive Function in Middle-Aged Patients with Obstructive Sleep Apnea Before and After Continuous Positive Airway Pressure Treatment

Influencing Factors of Daytime Sleepiness in Patients with Obstructive Sleep Apnea Hypopnea Syndrome and Its Correlation with Pulse Oxygen Decline Rate

Owner reported breathing scores, accelerometry and sleep disturbances in brachycephalic and control dogs: A pilot study

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