ArticleSleep & breathing = Schlaf & Atmung2017
Discriminating between positional and non-positional obstructive sleep apnea using some clinical characteristics.
Article in Sleep & breathing = Schlaf & Atmung, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Pooled it
- Positional Therapy: A Real Opportunity in the Treatment of Obstructive Sleep Apnea? An Update from the Literature.Life (Basel, Switzerland) · 2025Review
- 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
- Positional Obstructive Sleep Apnea and Periodic Limb Movements During Sleep: A Large Multicenter Study.Clinical and experimental otorhinolaryngology · 2024Article
- Cardiovascular diseases across OSA phenotypes: A retrospective cohort study.Sleep medicine: X · 2023Article
- Exploring the Impact of Positional Sleep Apnea in a Turkish Population: Unveiling the Untold Story.Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- The Prevalence of Positional Obstructive Sleep Apnoea in a Sample of the Saudi Population.Journal of epidemiology and global health · 2023Article
- Prevalence, characteristics, and respiratory arousal threshold of positional obstructive sleep apnea in China: a large scale study from Shanghai Sleep Health Study cohort.Respiratory research · 2022Article
- Polysomnographic characteristics and predictors of positional obstructive sleep apnea in Japanese elderly.Sleep and biological rhythms · 2022Article
- Propofol versus dexmedetomidine during drug-induced sleep endoscopy (DISE) for pediatric obstructive sleep apnea.Sleep & breathing = Schlaf & Atmung · 2021Article
- Role of drug-induced sleep endoscopy in evaluation of positional vs non-positional OSA.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · 2020Article
- Positional Obstructive Sleep Apnea Syndrome in Elderly Patients.International journal of environmental research and public health · 2020Article
- Comparison of upper airway collapse patterns and its clinical significance: drug-induced sleep endoscopy in patients without obstructive sleep apnea, positional and non-positional obstructive sleep apnea.Sleep & breathing = Schlaf & Atmung · 2018Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe primary objective of this paper was to identify significant factors associated with positional Obstructive Sleep Apnea (POSA) and to provide a clinical tool for discriminating non positional from POSA. Secondary objectives were about estimating the prevalence of POSA, comparing the polysomnographic variables across POSA and non-POSA patients.
methodsThis was a cross sectional study on 278 patients who completed an overnight sleep study for OSA assessment. Patients were aged over 18 years, without central sleep apnea or narcolepsy and slept no less than 20 min in a non-supine position. POSA was defined as a total apnea/hypopnea index (AHI) ≥5 and a ratio supine AHI/non-supine AHI ≥2. The binary logistic regression was used for modeling the likelihood for OSA patient to be positional, and the LASSO method was used for selecting the optimal set of clinical characteristics associated with POSA.
resultsOverall, 53% of patients had POSA. These patients were younger (p = 0.005), had lower BMI (p < 0.0001), lower prevalence of hypertension (p = 0.006), lower Berlin (p = 0.01), and lower STOP (p = 0.001) scores compared to non-POSA patients. Neck and waist circumference were higher in non-POSA (p = 0.005, p = 0.009, respectively) patients. Age, BMI, DBP, Mallampati, and Berlin scores were found to be the best clinical characteristics associated with POSA with an area under the ROC curve (AUC) of 0.71 (95% CI [0.63, 0.78]).
conclusionsHalf of patients referred for the sleep study had POSA. Age, BMI, DBP, Mallampati, and Berlin scores, put together, were shown to act as good clinical characteristics to discriminate between POSA and non-POSA patients.
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