Gender differences in clinical and polysomnographic features of obstructive sleep apnea: a clinical study of 2827 patients

Başoğlu, Özen K.; Taşbakan, Mehmet Sezai

doi:10.1007/s11325-017-1482-9

Cited by 148 publications

(138 citation statements)

References 31 publications

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“…The OSAS severity is increased in men and the distribution among the age group shows similar results as described in the literature which reports that the gravity of the OSAS is frequently lower in female patients, who show specific symptoms and medical comorbidities, resulting from the influence of gonadotrophic hormones during sleep (Basoglu & Tasbakan, 2017).…”

Section: Discussionsupporting

confidence: 84%

Influence of Obstructive Sleep Apnea Syndrome and Sleep Variables on Cognitive Performance and Psychological Distress in Severely Obese Patients

Ribeiro¹,

Carvalho²,

Carmo³

et al. 2017

RHS

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Section: Discussionsupporting

confidence: 84%

Influence of Obstructive Sleep Apnea Syndrome and Sleep Variables on Cognitive Performance and Psychological Distress in Severely Obese Patients

Ribeiro¹,

Carvalho²,

Carmo³

et al. 2017

RHS

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“…In bariatric cohorts, typical OSA‐related symptoms (e.g., snoring and daytime sleepiness assessed by the Epworth Sleepiness scale) do not seem to predict OSA (Sareli et al., ; Sharkey et al., ). This could be partly explained by a predominance of women in these cohorts, because women report less snoring and fewer apneic episodes compared to men and complain more about generalized daytime symptoms (such as insomnia, restless legs and depression) (Basoglu & Tasbakan, ; Valipour et al., ). Regarding whether anthropometrics could help to explain AHI variability in morbidly obesity women awaiting bariatric surgery, the present work is the first to analyse this issue in this specific setting, showing that anthropometrics may be responsible for nearly one‐fifth of AHI variability.…”

Section: Discussionmentioning

confidence: 99%

Anthropometrical phenotypes are important when explaining obstructive sleep apnea in female bariatric cohorts

Gasa

López‐Padrós

Monasterio

et al. 2019

Journal of Sleep Research

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Central obesity is the main risk factor for obstructive sleep apnea (OSA). Whether there exists a central‐obesity anthropometric that better explains apnea–hypopnea index (AHI) variability in the general population and in sleep cohorts is unknown, and this is even less explored among increasing grades of obesity. The objective of the study is to investigate whether there is an anthropometric that better explains AHI variability in a sample of morbidly obese women awaiting bariatric surgery (BS). A prospective multicentre cross‐sectional study was conducted in consecutive women before BS. Demographic and anthropometric characteristics included age, body mass index (BMI), neck circumference (NC), waist circumference (WC), hip circumference (HC) and waist‐to‐hip ratio (WHR). OSA was diagnosed by polysomnography. The capacity of anthropometrics to explain AHI variance was investigated using regression linear models. A total of 115 women were evaluated: age, 44 ± 10 years; BMI, 46 ± 5 kg/m2; AHI, 35 ± 26 events/hr. AHI was associated with all anthropometrics except weight, height and HC. The best univariate predictor was WHR, which accounted for 15% of AHI variance. The simplest model (age + BMI) accounted for 9%, which increased to 20% when applying more complex measurements (age + BMI + NC + WC + HC). The explanatory capacity did not change significantly when applying a simpler model (age + WHR + NC, 19%). In this female morbidly obese cohort, anthropometrics explained one‐fifth of AHI variability. WHR is the best univariate parameter and models including waist and neck data provide more information than BMI when explaining AHI variability. Thus, even in young women with extreme obesity, OSA seems to be linked to a specific central‐obesity phenotype rather than to a whole‐obesity pattern.

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“…Our patients with OHS differed in many respects from those reported in other studies, as they were mostly females, and AHI was lower than in OSA and overlap groups. The latter finding may reflect the lower AHI usually found in females with OSA (Basoglu & Tasbakan, ). Pérez de Llano et al.…”

Section: Discussionmentioning

confidence: 89%

Use of autobilevel ventilation in patients with obstructive sleep apnea: An observational study

Baiamonte

Mazzuca

Gruttad'Auria

et al. 2018

Journal of Sleep Research

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Continuous positive airway pressure (CPAP) is the first-choice treatment for obstructive sleep-disordered breathing. Automatic bilevel ventilation can be used to treat obstructive sleep-disordered breathing when CPAP is ineffective, but clinical experience is still limited. To assess the outcome of titration with CPAP and automatic bilevel ventilation, the charts of 356 outpatients (obstructive sleep apnea, n = 242; chronic obstructive pulmonary disease + obstructive sleep apnea overlap, n = 80; obesity hypoventilation syndrome [OHS], n = 34; 103 females) treated for obstructive sleep-disordered breathing from January 2014 to April 2017 were reviewed. Positive airway pressure titration was considered successful in the case of sleep-disordered breathing resolution (apnea-hypopnea index<10/hr) with cumulative time at SaO < 90% (CT90%) <10% and/or improved daytime arterial blood gases at the end of titration. CPAP was effective in 268 patients (75.0%). CPAP treatment failure (n = 88) occurred in 13.6% of obstructive sleep apnea, 32.5% of overlap, and 85.3% of OHS patients. Compared with successful CPAP cases, patients undergoing the automatic bilevel ventilation trial showed higher body mass index (39.3 ± 10.5 kg/m versus 34.8 ± 6.9 kg/m , p < 0.0001), worse mean nocturnal SaO (89.2 ± 4.0% versus 91.3 ± 4.0%, p < 0.003) and CT90% (40.6 ± 28.6% versus 24.0 ± 23.3%), but similar age (62.8 ± 11.9 years versus 60.5 ± 12.0 years, p = 0.11), apnea-hypopnea index (39.4 ± 23.2/hr versus 41.0 ± 21.2/hr, p = 0.55) and oxygen desaturation index (37.8 ± 23.5/hr versus 39.2 ± 21.1/hr, p = 0.61) at diagnosis. Automatic bilevel ventilation was successful in 79.5% of CPAP treatment failures (n = 70). Automatic bilevel ventilation failure was independently associated with baseline body mass index >40 kg/m (odds ratio 6.16, confidence interval 1.50-25.17, p = 0.011) and CT90% >42% (odds ratio 5.87, confidence interval 1.39-24.83, p = 0.016). During follow-up, automatic bilevel ventilation treatment failed in seven patients (10%), and compliance was similar in CPAP (4.5 ± 2.2 hr) and automatic bilevel ventilation (5.2 ± 2.3 hr, p = 0.09) groups. Automatic bilevel ventilation was useful to treat sleep-disordered breathing, but failed in patients with severe OHS.

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Gender differences in clinical and polysomnographic features of obstructive sleep apnea: a clinical study of 2827 patients

Cited by 148 publications

References 31 publications

Influence of Obstructive Sleep Apnea Syndrome and Sleep Variables on Cognitive Performance and Psychological Distress in Severely Obese Patients

Influence of Obstructive Sleep Apnea Syndrome and Sleep Variables on Cognitive Performance and Psychological Distress in Severely Obese Patients

Anthropometrical phenotypes are important when explaining obstructive sleep apnea in female bariatric cohorts

Use of autobilevel ventilation in patients with obstructive sleep apnea: An observational study

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