睡眠呼吸障碍患者中筛查试验STOP-BANG评分和体重指数与阻塞性睡眠呼吸暂停严重程度的临床相关性
Clinical Correlation between Screening Test STOP-BANG Score and Body Mass Index with Obstructive Sleep Apnea Severity in Patients with Sleep-disordered Breathing.
文献信息
| PMID | 42798216 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Satyam B Mahakale |
| 作者单位 | Department of Respiratory Medicine, NKP SIMS and Lata Mangeshkar Hospital, Nagpur, Maharashtra, India. |
| 期刊 | Annals of African medicine |
| SCI 分区 | Q3 |
| IF | 1.1 |
| 研究类型 | 临床研究 · 临床 |
| 所属专科 | 咽喉科 |
中文摘要
背景： 阻塞性睡眠呼吸暂停（OSA）是一种常见但诊断不足的疾病，与显著的心血管代谢疾病负担相关。在资源有限的环境中，STOP-BANG问卷和体重指数（BMI）等简单筛查工具被广泛使用；然而，它们与OSA严重程度的相关性仍未得到充分探索。本研究旨在评估睡眠呼吸障碍（SDB）患者中STOP-BANG评分、BMI与OSA严重程度之间的关系。
材料和方法： 这项横断面观察性研究于2023年7月至2025年6月在一家三级教学医院的呼吸医学科进行。共有53名疑似SDB的成年人通过临床评估、BMI测量、STOP-BANG问卷和Epworth嗜睡量表进行评估。所有患者均接受多导睡眠监测，并根据呼吸暂停低通气指数将OSA严重程度分为轻度、中度或重度。使用SPSS 24版进行统计分析，P < 0.05被认为具有显著性。
结果： 在53名患者中，64%为男性。64%的参与者观察到高STOP-BANG评分（5-8分），而87%为肥胖（BMI ≥30 kg/m2）。41.5%的患者被诊断为重度OSA。较高的STOP-BANG评分与OSA严重程度增加呈正相关，尤其是与BMI升高联合时。大多数高STOP-BANG评分的肥胖患者患有中度至重度OSA。
结论： STOP-BANG评分和BMI是OSA严重程度的简单、可靠预测指标。它们的联合使用有助于早期风险分层并优先安排患者进行多导睡眠监测，尤其是在资源受限的环境中。
英文摘要
BACKGROUND: Obstructive sleep apnea (OSA) is a common yet underdiagnosed condition associated with significant cardiometabolic morbidity. In resource-limited settings, simple screening tools such as the STOP-BANG questionnaire and body mass index (BMI) are widely used; however, their correlation with OSA severity remains insufficiently explored. This study aimed to evaluate the relationship between STOP-BANG score, BMI, and OSA severity in patients with sleep-disordered breathing (SDB).
MATERIALS AND METHODS: This cross-sectional observational study was conducted in the Department of Respiratory Medicine at a tertiary care teaching hospital from July 2023 to June 2025. A total of 53 adults with suspected SDB were assessed using clinical evaluation, BMI measurement, STOP-BANG questionnaire, and Epworth Sleepiness Scale. All patients underwent polysomnography, and OSA severity was classified using the apnea-hypopnea index as mild, moderate, or severe. Statistical analysis was performed using SPSS version 24, with P < 0.05 considered significant.
RESULTS: Of the 53 patients, 64% were male. High STOP-BANG scores (5-8) were observed in 64% of participants, while 87% were obese (BMI ≥30 kg/m2). Severe OSA was diagnosed in 41.5% of patients. Higher STOP-BANG scores showed a positive correlation with increasing OSA severity, particularly when combined with elevated BMI. Most obese patients with high STOP-BANG scores had moderate to severe OSA.
CONCLUSION: STOP-BANG score and BMI are simple, reliable predictors of OSA severity. Their combined use can aid early risk stratification and prioritize patients for polysomnography, especially in resource-constrained settings.