STOP-BANG问卷——一种用于识别2型糖尿病患者阻塞性睡眠呼吸暂停综合征的简便工具。
STOP-BANG QUESTIONNAIRE - AN EASY TOOL FOR IDENTIFYING OBSTRUCTIVE SLEEP APNEA SYNDROME IN PATIENTS WITH TYPE 2 DIABETES MELLITUS.
作者信息
Timofticiuc D C Protasiewicz, Vladu I M, Stefan A G, Forțofoiu M C, Mitrea A, Fortofoiu M, Mota M
机构信息
University of Medicine and Pharmacy of Craiova, Doctoral School, Craiova, Romania.
County Clinical Emergency Hospital of Craiova, Department of Diabetes, Nutrition and Metabolic Diseases, Craiova, Romania.
出版信息
Acta Endocrinol (Buchar). 2022 Jan-Mar;18(1):49-57. doi: 10.4183/aeb.2022.49.
BACKGROUND
Patients with type 2 diabetes mellitus (T2DM) have a higher risk of developing obstructive sleep apnea (OSA) compared to the general population. Our study aims to analyze the usefulness of the STOP-BANG score, tool which was not yet validated in patients with diabetets, as a tool that estimates the severity of OSA, in patients with T2DM.
METHODS
120 patients, who answered the STOP-BANG questionnaire and underwent polysomnography, were included in the study. The patients were divided into 3 groups, depending on the severity of OSA, defined by the apnea/hypopnea index (AHI).
RESULTS
A significant percentage of participants (42.1%) had a severe form of OSA (AHI ≥30) and a high percentage of subjects had a STOP-BANG score ≥5 (58.7%), equivalent to a severe form of the disease. The STOP-BANG score increased proportionally with AHI (p<0.001). The area under the ROC curve for the STOP-Bang score indicated an optimal cut-off value of 4.5, with a sensitivity of 88.2% and a specificity of 62.9% (p <0.001), STOP-BANG score ≥5 being an independent predictor for severe OSA in patients with T2DM.
CONCLUSIONS
The STOP-BANG score can be used in patients with diabetes to detect severe OSA in order to establish appropriate therapeutic measures.
背景
与普通人群相比，2型糖尿病（T2DM）患者发生阻塞性睡眠呼吸暂停（OSA）的风险更高。我们的研究旨在分析尚未在糖尿病患者中验证的STOP-BANG评分作为评估T2DM患者OSA严重程度的工具的有效性。
方法
120名回答了STOP-BANG问卷并接受多导睡眠图检查的患者纳入研究。根据呼吸暂停/低通气指数（AHI）定义的OSA严重程度，将患者分为3组。
结果
相当比例的参与者（42.1%）患有严重形式的OSA（AHI≥30），且高比例的受试者STOP-BANG评分≥5（58.7%），等同于疾病的严重形式。STOP-BANG评分随AHI成比例增加（p<0.001）。STOP-Bang评分的ROC曲线下面积表明最佳截断值为4.5，敏感性为88.2%，特异性为62.9%（p<0.001），STOP-BANG评分≥5是T2DM患者严重OSA的独立预测指标。
结论
STOP-BANG评分可用于糖尿病患者以检测严重OSA，从而制定适当的治疗措施。
Zotero 插件