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Restless Legs Syndrome Research / Sleep and Related Disorders · Journal article
Pulmonologiya · August 12, 2026
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This retrospective study describes polysomnographic patterns in 100 obese OSA patients (BMI >30) versus 44 normal-weight OSA controls (BMI 18–25). Obese patients showed higher rates of severe OSA (52% vs 0%), prolonged hypoxaemia (42.4 min vs 0.9 min at SpO₂ <90%), and increased arousals, alongside elevated odds of hypertension, diabetes, dyslipidemia, and prior pneumonia. The findings are descriptive and hypothesis-generating but lack formal statistical testing of the primary PSG endpoints.
Retrospective comparative observational study. Obese patients (BMI >30 kg/m²) with obstructive sleep apnea (main group) and normal-weight controls (BMI 18–25 kg/m²) with OSA; enrolment setting, inclusion criteria, and exclusion criteria not stated.. Intervention: Polysomnographic assessment (Comet PSG). Compared with: Obese OSA patients (BMI >30) compared to normal-weight OSA controls (BMI 18–25). n = 144.
Severe OSA detected in 52% of obese patients versus 0% of normal-weight controls Duration of SpO₂ <90% was 42.4 min in obese group versus 0.9 min in control group Hypertension odds ratio 6.4 (95% CI 2.9–14.2) in obese versus normal-weight OSA patients
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Clinicians managing obese patients with OSA should be aware that severe disease (52% prevalence) and significant hypoxaemia are common; the study suggests obesity amplifies OSA severity and associated cardio-renal-metabolic morbidity. However, these are observational associations and require confirmation before informing clinical decision-making.
Retrospective observational study with modest sample size and no statistical testing of primary PSG outcomes; descriptive findings on polysomnographic patterns in obese OSA patients that require confirmation in larger, prospective cohorts.
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Clinicians managing obese patients with OSA should be aware that severe disease (52% prevalence) and significant hypoxaemia are common; the study suggests obesity amplifies OSA severity and associated cardio-renal-metabolic morbidity. However, these are observational associations and require confirmation before informing clinical decision-making.
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The available scientific research does not sufficiently describe the specific polysomnographic (PSG) characteristics of obstructive sleep apnea (OSA) in obese patients. The aim was to determine the clinical and PSG characteristics of OSA in obese patients. Methods. The study included retrospective analysis of medical histories, assessment of the frequency of concomitant and previous diseases, and analysis of PSG results (Сomet PSG, Grass Technologies, USA). Results. The study included 2 groups of patients: the main group with OSA and BMI > 30 kg/m2 (n = 100) and the control group with OSA and BMI 18 – 25 kg/m2 (n = 44). In the main group, the Charlson comorbidity index (p = 0.012), the likelihood of hypertension (OR 6.4 (95% CI 2.9 – 14.2)), type 2 diabetes mellitus or impaired glucose tolerance (OR 29.9 (95% CI 3.9 – 225.7)), dyslipidemia (OR 2.4 (95% CI 1.1 – 4.9)), and ahistory of pneumonia (OR 3.2 (95% CI 1.1 – 8.9)) were higher than in control group. The PSG analysis revealed that severe OSA was detected in mostpatients (52%) of the main group and in none of the patients in the control group. Duration of SpO 2 < 90% was longer in the main group (42.4 min), than in the control group (0.9 min). The apnea-hypopnea index was increased in the REM sleep stage and in supine position in the main group. Duration of sleep stages was different: stage 1 was longer in the main group and stage 2 was longer in the control group. There were no differences in REM and stage 3. Obese patients had more frequent arousals, due to episodes of apnea and hypopnea and snoring. Conclusion. Our study identified certain characteristics of PSG in OSA and obesity, which may explain the higher incidence of concomitant severe diseases that may be associated with cardio-renal-metabolic syndrome.
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