ArticleMedical science monitor : international medical journal of experimental and clinical research2023
Exploring the Impact of Positional Sleep Apnea in a Turkish Population: Unveiling the Untold Story.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Do positional and non-positional obstructive sleep apnoea differ clinically? A further comparison of supine-isolated and supine-predominant subgroups.Sleep & breathing = Schlaf & Atmung · 2025Observational
- Evaluating Positional Obstructive Sleep Apnea in Children: Prevalence, Characteristics, and Risk Factors.Nature and science of sleep · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND The present study aimed to investigate the risk factors associated with demographical, clinical and polysomnographic features of positional sleep apnea through different criterion of positional sleep apnea (POSA vs e-POSA) in a large patient cohort from a tertiary referral center MATERIAL AND METHODS A total of 782 OSA patients who were further diagnosed with POSA (total: n=470, e-POSA: n=204) or non-POSA (n=312) based on apnea-hypopnea index (AHI) events by overnight polysomnography were included. Demographical, clinical, and polysomnographic characteristics were recorded, while independent predictors of POSA and e-POSA were determined via linear regression analysis. RESULTS Severe OSA (AHI ≥30/h) was less common in the POSA (33.4% vs 71.5%, P<0.001) and e-POSA (9.8% vs 62.3%, P<0.001) groups than in the non-POSA and non-e-POSA groups, respectively. For POSA and e-POSA, male sex (OR 2.195, P<0.001 and OR 2.021, P=0.004, respectively), low body mass index (BMI; OR 0.932, P<0.001 and OR 0.948, P=0.006), low AHI (OR 0.954 and OR 0.902, P<0.001 for each), and less desaturation (T90%, OR 0.972 and OR 0.968, P<0.001 for each) were the common statistically significant predictors. Younger age was an independent predictor of POSA (OR 0.97, P=0.003). POSA (median 20.4 s) and e-POSA (20.5 s) groups demonstrated similar apnea-hypopnea durations (min) as the non-POSA (median 21.1 s) group. CONCLUSIONS Our findings revealed that male sex and lower values of BMI, AHI, and desaturation were common determinants of POSA and e-POSA, while younger age independently predicted POSA. POSA and e-POSA had similar clinical and polysomnographic characteristics and shared the unvaried hypoxic burden.
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