Huhta Riikka, Sieminski Mariusz, Hirvonen Kari, Partinen Eemil, Partinen Markku
Department of Clinical Neurosciences, University of Helsinki, Clinicum, 00140 Helsinki, Finland.
Helsinki Sleep Clinic, Terveystalo Healthcare, 00380 Helsinki, Finland.
J Clin Med. 2024 Jan 17;13(2):522. doi: 10.3390/jcm13020522.
Obstructive sleep apnea (OSA) is common in professional truck drivers. It is important that OSA is recognized since undiagnosed and/or untreated sleep apnea is a risk factor for sleepiness-related traffic accidents. In this study, we developed a new simple tool to screen for obstructive sleep apnea (OSA) in this population. Altogether, 2066 professional truck drivers received a structured questionnaire. A total of 175 drivers had a clinical examination and were invited to participate in sleep laboratory studies, including cardiorespiratory polygraphy. We studied associations of different risk factors with the presence of sleep apnea. We established a new simple screening tool for obstructive sleep apnea (OSA) that was compared to other existing screening tools. A total of 1095 drivers completed the questionnaire. Successful cardiorespiratory polygraphy was obtained for 172 drivers. Full data were available for 160 male drivers included in the analyses. The following five risk factors for sleep apnea formed the BAMSA score (0 to 5): BMI > 30 kgm, age > 50 years, male gender, snoring at least one night per week, and the presence of apnea at least sometimes. BAMSA showed a sensitivity of 85.7% and a specificity of 78.8% in detecting AHI ≥ 15 when using a cut-off point of 4, and the ROC area was 0.823. BAMSA is a sensitive and easy-to-use tool in predicting obstructive sleep apnea in male professional drivers.
阻塞性睡眠呼吸暂停(OSA)在职业卡车司机中很常见。认识到OSA很重要,因为未诊断和/或未治疗的睡眠呼吸暂停是与嗜睡相关的交通事故的一个风险因素。在本研究中,我们开发了一种新的简单工具来筛查该人群中的阻塞性睡眠呼吸暂停(OSA)。共有2066名职业卡车司机收到了一份结构化问卷。共有175名司机接受了临床检查,并被邀请参加睡眠实验室研究,包括心肺多导睡眠图检查。我们研究了不同风险因素与睡眠呼吸暂停存在之间的关联。我们建立了一种新的简单的阻塞性睡眠呼吸暂停(OSA)筛查工具,并将其与其他现有的筛查工具进行了比较。共有1095名司机完成了问卷。172名司机成功完成了心肺多导睡眠图检查。分析纳入的160名男性司机可获得完整数据。以下五个睡眠呼吸暂停风险因素构成了BAMSA评分(0至5分):体重指数(BMI)>30kg/m²、年龄>50岁、男性、每周至少有一晚打鼾以及至少有时出现呼吸暂停。当使用4分的切点时,BAMSA在检测呼吸暂停低通气指数(AHI)≥15时的敏感性为85.7%,特异性为78.8%,ROC曲线下面积为0.823。BAMSA是一种预测男性职业司机阻塞性睡眠呼吸暂停的敏感且易于使用的工具。