Investigating the effectiveness of nonpolysomnography diagnostic methods used in sleep disorders in predicting the diagnosis of obstructive sleep apnea syndrome.

Kübra Güngör, Banu Gülbay, Turan Acican
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Abstract

Introduction: Obstructive sleep apnea syndrome (OSAS) is characterized by recurrent apnea/hypopneas that cause a decrease in oxygen saturation during sleep. Male sex, greater age, obesity, large neck circumference (NC) and hypertension (HT) increase the tendency to OSAS. Diagnosis is important in terms of prognosis and selection of appropriate treatment. Polysomnography (PSG), which is the gold standard diagnostic method, is expensive, time-consuming and requires special equipment, therefore care must be taken in selecting patients for PSG. In this study, we aimed to investigate the effectiveness of Berlin, STOP-BANG and Epworth Sleepiness Scale (ESS) in predicting the diagnosis of OSAS by comparing with PSG.

Materials and methods: In our study, 136 patients who underwent PSG at the Sleeping Unit in Department of Chest Diseases, Ankara University Faculty of Medicine, and sleep questionnaires were applied to patients at their admissions. Apnea-hypopnea index values of the patients were compared with the questionnaires.

Result: Of the patients, 82 (60.3%) were males, and mean age of the patients who participated in the study was 50.9 years. Mean body-mass index (BMI) of all patients was 31.9 kg/m2. It was observed that 56 (41.2%) of the patients had a diagnosis of HT. Mean NC was 41.9 cm. The most effective questionnaire for predicting the diagnosis of OSAS was determined as STOPBANG Questionnaire (%98), was followed by the Berlin Questionnaire (%88). ESS (%63) was found to be the least effective questionnaire.

Conclusions: OSAS is a common syndrome with high morbidity in the population; it is important to suspect and diagnose the disease. It was concluded that the STOP-BANG Questionnaire, which includes parameters such as symptoms, age, BMI, NC and HT, is highly effective in patient selection for PSG and may help clinicians to predict the diagnosis of OSAS.

探讨非多导睡眠图诊断方法在预测阻塞性睡眠呼吸暂停综合征诊断中的有效性。
梗阻性睡眠呼吸暂停综合征(OSAS)的特点是反复发作的呼吸暂停/低呼吸,导致睡眠期间氧饱和度降低。男性、较大年龄、肥胖、大颈围(NC)和高血压(HT)增加了发生OSAS的倾向。诊断对预后和选择适当的治疗是重要的。多导睡眠图(PSG)是金标准诊断方法,但价格昂贵,耗时长,需要特殊设备,因此在选择多导睡眠图患者时必须谨慎。在本研究中,我们旨在通过与PSG比较,探讨Berlin、STOP-BANG和Epworth嗜睡量表(ESS)预测OSAS诊断的有效性。材料与方法:在我们的研究中,136例在安卡拉大学医学院胸科睡眠部接受PSG检查的患者在入院时接受睡眠问卷调查。将患者的呼吸暂停-低呼吸指数值与问卷进行比较。结果:男性82例(60.3%),平均年龄50.9岁。所有患者的平均身体质量指数(BMI)为31.9 kg/m2。观察到56例(41.2%)患者诊断为HT。平均NC为41.9 cm。预测OSAS诊断最有效的问卷是STOPBANG问卷(%98),其次是Berlin问卷(%88)。ESS(%63)是最无效的问卷。结论:OSAS是一种常见病,发病率高;怀疑和诊断这种疾病很重要。综上所述,包括症状、年龄、BMI、NC和HT等参数的STOP-BANG问卷对PSG患者的选择非常有效,可以帮助临床医生预测OSAS的诊断。
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