阻塞性睡眠呼吸暂停
人体测量学
医学
表型
内科学
睡眠呼吸暂停
共病
心脏病学
儿科
物理疗法
生物
遗传学
基因
作者
Mihrican Yeşildağ,Faysal Duksal
标识
DOI:10.1080/10641963.2025.2512136
摘要
PURPOSE: Obstructive Sleep Apnea Syndrome (OSAS) is a heterogeneous syndrome and shows different phenotypic, clinical and physiopathological features. The aim of this study was to examine the relationships between OSAS phenotypes and comorbidities and anthropometric measurements and to identify OSAS phenotypes that should be referred for early diagnosis and treatment. MATERIALS AND METHODS: We retrospectively reviewed 600 patients who underwent polysomnography (PSG) in our sleep center. Seven phenotypes were defined as Simple Snoring (SS)-Control, Mild, Moderate and Severe OSAS, Rem Dependent OSAS (RDO), Position Dependent OSAS (PDO) and Rem+Position dependent OSAS (R+PDO). Demographic data, anthropometric measurements and comorbid diseases of the patients were obtained retrospectively from their files. OSAS phenotypes were compared with comorbidities and anthropometric measurements. RESULTS: < .001). Hypertension (HT) (43.7%) and ischemic heart disease (CHD) (14.2%) were the most common comorbidities and were most commonly associated with severe OSAS. In logistic regression analysis, neck circumference (NC) and body mass index (BMI) were the anthropometric measures that predicted OSAS phenotypes. NC and BMI predicted severe OSAS, NC predicted PDO and R+PDO, and BMI predicted RDO. CONCLUSION: This study revealed that OSAS phenotypes exhibit different clinical and anthropometric characteristics and differ in comorbidity risks. HT was found to be higher in severe OSAS, moderate OSAS and R+PDO, and CHD was higher in severe OSAS and RDO. Our study emphasized the importance of phenotypic characteristics as well as AHI in the management of comorbidities in OSAS.
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