Exploring the Impact of Positional Sleep Apnea in a Turkish Population: Unveiling the Untold Story.

Makbule Ozlem Akbay, Canan Gunduz Gurkan, Ayse Ezgi Ak, Sema Sarac
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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.

探索体位性睡眠呼吸暂停对土耳其人的影响:揭开不为人知的故事。
本研究旨在通过不同的体位性睡眠呼吸暂停标准(POSA vs e-POSA),探讨与体位性睡眠呼吸暂停相关的人口学、临床和多导睡眠图特征的危险因素。材料和方法:来自某第三级转诊中心的大型患者队列中,共有782例OSA患者被进一步诊断为POSA(总数:n=470, e-POSA:n=204)或非posa (n=312),包括过夜多导睡眠图基于呼吸暂停-低通气指数(AHI)事件的患者。记录人口统计学、临床和多导睡眠图特征,并通过线性回归分析确定POSA和e-POSA的独立预测因子。结果重度OSA (AHI≥30/h)在POSA患者中较少见(33.4% vs 71.5%, P
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