Obstructive sleep apnea in normal weight patients: characteristics and comparison with overweight and obese patients

Quintas, Sonia; Gajate, Amaia Urrutia; Fernández, Leyre Serrano; Moyano, Marta García; Quero, Beatriz Gonzalez; Antia, Borja Ortiz De Urbina; Tejada, Sandra Pedrero; Cabriada, Valentín

doi:10.1183/13993003.congress-2019.pa837

Cited by 3 publications

(5 citation statements)

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“…Many previous studies have shown that OSA is not restricted to the obese population, with up to 40% of patients being non-obese [4,[6][7][8]. A recent study in Thailand [5], on the contrary, discovered that the majority of OSA patients were non-obese (63.4%).…”

Section: Discussionmentioning

confidence: 99%

“…However, differences in other factors, including adenotonsillar hypertrophy, neck circumference, and symptoms of excessive day time sleepiness (EDS) evaluated by the Epworth Sleepiness Scales (ESS) did not reach statistical significance. On the other hand, OSA was more severe in obese patients as demonstrated by most polysomnographic parameters including the apnea-hypopnea index (AHI) [4][5][6][7][8][9][10]. However, related studies were scarce and diverse, with small samples, were rarely conducted in Asian populations.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Study of Clinical and Polysomnographic Characteristics of Obstructive Sleep Apnea Among Obese and Non-Obese Patients at Chiang Mai University Hospital

Theerakittikul

Laksananun

Inchai

et al. 2019

BJSTR

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Background: Recent studies have shown that obstructive sleep apnea (OSA) is common in both obese and nonobese patients with different clinical and polysomnographic features in each group. However, such studies were scarce and diverse, with small sample sizes, and were rarely conducted in Asian populations. Only one trial to date has employed the classification of BMI in adult Asians by WHO criteria which is currently used as a reference based on morbidity risk.Objectives: To compare the clinical, anthropometric and polysomnographic characteristics of non-obese and obese patients with OSA.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparative Study of Clinical and Polysomnographic Characteristics of Obstructive Sleep Apnea Among Obese and Non-Obese Patients at Chiang Mai University Hospital

Theerakittikul

Laksananun

Inchai

et al. 2019

BJSTR

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“…Нельзя не отметить, что абдоминальный тип ОЖ сам по себе ассоциирован с ухудшением лёгочной вентиляции, что существенно снижает насыщение крови кислородом [50]. Нарушения лёгочной вентиляции и связанная с этим дыхательная недостаточность нередко являются причиной экстренной госпитализации пациентов с ОЖ.…”

Section: данные исследований об особенностях течения коронавирусной инфекции при ожиренииunclassified

“…Нарушения лёгочной вентиляции и связанная с этим дыхательная недостаточность нередко являются причиной экстренной госпитализации пациентов с ОЖ. Доказано также, что большинство пациентов с выраженным ОЖ имеют более тяжелые проявления синдрома обструктивного апноэ сна по сравнению с лицами с нормальной массой тела [50]. Таким образом, характерная для пациентов с СOVID-19 на фоне ОЖ тяжёлая дыхательная недостаточность является следствием двух взаимоотягощающих факторов: наличием вирусной пневмонии с одной стороны и синдромом гиповентиляции вследствие ОЖ с другой.…”

Section: данные исследований об особенностях течения коронавирусной инфекции при ожиренииunclassified

Coronavirus Infection an Obese Patient (Literature Review)

Панова

Pimankina

2021

Arhivʺ vnutrennej mediciny

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In the modern world the problem of obesity in combination with new coronavirus infection has acquired a special danger. On the one hand, the prevalence of obesity among the population is steadily increasing, on the other-it has been proven that obese people are among the most vulnerable in terms of increased risk of infection and a serious prognosis. This is due to the presence and peculiarities of the development of various pathological mechanisms in this category of patients. These include: high expression of angiotensin-converting enzyme 2, a high probability of a «cytokine storm» developing, maintenance of a chronic inflammatory process in adipose tissue, changes in the activity of Dipeptidyl peptidase-4 enzyme. All these processes lead to an aggravation of metabolic disorders in adipose tissue and violation of immune protection. The world medical practice in the fight against the COVID-19 pandemic shows that patients with coronavirus infection against the background of obesity more often need hospitalization in intensive care units and connection to artificial ventilation equipment. Currently, many features of the course of coronavirus infection against the background of obesity have been identified and continue to be studied. These include: the presence of severe respiratory failure, a high risk of developing respiratory distress syndrome, thrombosis and thromboembolic complications, as well as worsening of the course of chronic cardiovascular diseases. All this eventually leads to the development of severe multiple organ failure, which is often the cause of death in this category of patients.

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“…There is growing research evidence for an association between sleep disorders and obesity [6][7][8]. Sleep disorders, especially sleep-related breathing disorders and insomnia, may also contribute to obesity or vice versa [9,10] Both have many mortal consequences, which are essential for the planning and implementation of public health policies [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Obesity and Its Associated Sleep Disorders Either Alone or in Combination towards Systemic Diseases in Turkey

Uçar

Demir

İtil

et al. 2020

JAMMR

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Aims: Both obesity and sleep disorders represent an important public health problem. In this study, the prevalence and consequences of obesity and associated sleep disorders were investigated in the Turkish adult population. Methodology: Data were analyzed in 5019 subjects who had available body mass index (BMI) data from a population-based study interviewer-administered questionnaire (Turkish Adult Population Epidemiology of Sleep Disorders study: TAPES, original sample: 5521). Obesity was defined and classified by BMI into four groups as underweight (BMI<18 kg/m2), normal (18≤BMI<25 kg/m2), overweight (25≤BMI<30 kg/m2), and obese (BMI >30 kg/m2). Insomnia was defined according to the DSM-IV criteria, habitual snoring and risk for sleep-related breathing disorders (SDB) using the Berlin questionnaire, excessive daytime sleepiness with the Epworth sleepiness scale score, and restless legs syndrome (RLS) according to symptoms as per the International Restless Legs Syndrome Study Group criteria. Results: The underweight, normal, overweight, and obesity rates were 2.9%, 40.5%, 34.3%, and 22.3%, respectively. Obesity was more common in women, and in the middle age, divorced/widow, lower education status, ex-smoker, low-income, and no regular exercise groups After the adjustment for age, gender, smoking status, educational status and income levels obesity was associated with the increased risk of SDB (OR: 13.03, 95%CI: 9.91-17.14), RLS (OR: 1.43, 95%CI: 1.01-2.02). The risk of heart disease, hypertension, diabetes mellitus, and hospitalization in the last year was higher in the obese population even after adjusting for age, sex, smoking status, educational status, and income levels [OR=2.06 (1.50-2.82), OR=3.45 (2.64-4.51), OR=2.93 (2.05-4.16), and OR=1.55 (1.22-1.98) respectively]. The risk of heart disease increased in subjects who were overweight and obese who had a high risk of SDB, and subjects with obesity who had RLS. The diabetes mellitus risk increased in subjects with obese who had a high risk of SDB or RLS. Conclusion: Obesity was associated with a high risk of systemic diseases and obesity together with sleep disorders was associated with a higher risk of systemic diseases such as heart disease and diabetes. If confirmed with prospective longitudinal studies with objective measurements, screening for sleep-related symptoms could help to identify adults with obesity at high risk for heart disease and diabetes, and implementation of preventive measures and the proper management of these populations.

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Obstructive sleep apnea in normal weight patients: characteristics and comparison with overweight and obese patients

Cited by 3 publications

References 0 publications

Comparative Study of Clinical and Polysomnographic Characteristics of Obstructive Sleep Apnea Among Obese and Non-Obese Patients at Chiang Mai University Hospital

Comparative Study of Clinical and Polysomnographic Characteristics of Obstructive Sleep Apnea Among Obese and Non-Obese Patients at Chiang Mai University Hospital

Coronavirus Infection an Obese Patient (Literature Review)

The Impact of Obesity and Its Associated Sleep Disorders Either Alone or in Combination towards Systemic Diseases in Turkey

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