Literature DB >> 28425082

Discriminating between positional and non-positional obstructive sleep apnea using some clinical characteristics.

Abderrahim Oulhaj1, Sharina Al Dhaheri2, Brenda Bin Su3, Mohammed Al-Houqani4.   

Abstract

PURPOSE: The 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.
METHODS: This 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.
RESULTS: Overall, 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]).
CONCLUSIONS: Half 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.

Entities:  

Keywords:  Apnea-hypopnea index; Obstructive sleep apnea; Positional or non-positional OSA

Mesh:

Year:  2017        PMID: 28425082     DOI: 10.1007/s11325-017-1499-0

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.816


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  5 in total

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Authors:  C Kastoer; L B L Benoist; M Dieltjens; B Torensma; L H de Vries; P E Vonk; M J L Ravesloot; N de Vries
Journal:  Sleep Breath       Date:  2018-08-01       Impact factor: 2.816

2.  Positional Obstructive Sleep Apnea Syndrome in Elderly Patients.

Authors:  Giannicola Iannella; Giuseppe Magliulo; Cristina Anna Maria Lo Iacono; Giulia Bianchi; Antonella Polimeni; Antonio Greco; Andrea De Vito; Giuseppe Meccariello; Giovanni Cammaroto; Riccardo Gobbi; Marco Brunori; Milena Di Luca; Filippo Montevecchi; Annalisa Pace; Irene Claudia Visconti; Claudia Milella; Carmen Solito; Stefano Pelucchi; Luca Cerritelli; Claudio Vicini
Journal:  Int J Environ Res Public Health       Date:  2020-02-10       Impact factor: 3.390

3.  Role of drug-induced sleep endoscopy in evaluation of positional vs non-positional OSA.

Authors:  Ming-Chin Lan; Stanley Yung-Chuan Liu; Ming-Ying Lan; Yun-Chen Huang; Tung-Tsun Huang; Yen-Bin Hsu
Journal:  J Otolaryngol Head Neck Surg       Date:  2020-12-14

4.  Prevalence, characteristics, and respiratory arousal threshold of positional obstructive sleep apnea in China: a large scale study from Shanghai Sleep Health Study cohort.

Authors:  Weijun Huang; Xiaoting Wang; Chong Xu; Huajun Xu; Huaming Zhu; Suru Liu; Jianyin Zou; Jian Guan; Hongliang Yi; Shankai Yin
Journal:  Respir Res       Date:  2022-09-12

5.  Propofol versus dexmedetomidine during drug-induced sleep endoscopy (DISE) for pediatric obstructive sleep apnea.

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Journal:  Sleep Breath       Date:  2020-09-02       Impact factor: 2.816

  5 in total

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