Hang Liang-Wen, Wang Hsiang-Ling, Chen Jen-Ho, Hsu Jiin-Chyr, Lin Hsuan-Hung, Chung Wei-Sheng, Chen Yung-Fu
Sleep Medicine Center, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Department of Respiratory Therapy, College of Health Care, China Medical University, Taichung, Taiwan.
BMC Pulm Med. 2015 Mar 20;15:24. doi: 10.1186/s12890-015-0017-z.
Polysomnography (PSG) is treated as the gold standard for diagnosing obstructive sleep apnea (OSA). However, it is labor-intensive, time-consuming, and expensive. This study evaluates validity of overnight pulse oximetry as a diagnostic tool for moderate to severe OSA patients.
A total of 699 patients with possible OSA were recruited for overnight oximetry and PSG examination at the Sleep Center of a University Hospital from Jan. 2004 to Dec. 2005. By excluding 23 patients with poor oximetry recording, poor EEG signals, or respiratory artifacts resulting in a total recording time less than 3 hours; 12 patients with total sleeping time (TST) less than 1 hour, possibly because of insomnia; and 48 patients whose ages less than 20 or more than 85 years old, data of 616 patients were used for further study. By further considering 76 patients with TST < 4 h, a group of 540 patients with TST ≥ 4 h was used to study the effect of insufficient sleeping time. Alice 4 PSG recorder (Respironics Inc., USA) was used to monitor patients with suspected OSA and to record their PSG data. After statistical analysis and feature selection, models built based on support vector machine (SVM) were then used to diagnose moderate and moderate to severe OSA patients with a threshold of AHI = 30 and AHI = 15, respectively.
The SVM models designed based on the oxyhemoglobin desaturation index (ODI) derived from oximetry measurements provided an accuracy of 90.42-90.55%, a sensitivity of 89.36-89.87%, a specificity of 91.08-93.05%, and an area under ROC curve (AUC) of 0.953-0.957 for the diagnosis of severe OSA patients; as well as achieved an accuracy of 87.33-87.77%, a sensitivity of 87.71-88.53%, a specificity of 86.38-86.56%, and an AUC of 0.921-0.924 for the diagnosis of moderate to severe OSA patients. The predictive outcome of ODI to diagnose severe OSA patients is better than to diagnose moderate to severe OSA patients.
Overnight pulse oximetry provides satisfactory diagnostic performance in detecting severe OSA patients. Home-styled oximetry may be a tool for severe OSA diagnosis.
多导睡眠图(PSG)被视为诊断阻塞性睡眠呼吸暂停(OSA)的金标准。然而,它劳动强度大、耗时且昂贵。本研究评估夜间脉搏血氧饱和度测定作为中重度OSA患者诊断工具的有效性。
2004年1月至2005年12月,共有699例疑似OSA患者在某大学医院睡眠中心接受夜间血氧饱和度测定和PSG检查。排除23例血氧饱和度测定记录不佳、脑电图信号差或存在呼吸伪影导致总记录时间少于3小时的患者;12例总睡眠时间(TST)少于1小时(可能因失眠)的患者;以及48例年龄小于20岁或大于85岁的患者,616例患者的数据用于进一步研究。进一步考虑76例TST<4小时的患者,一组540例TST≥4小时的患者用于研究睡眠时间不足的影响。使用Alice 4 PSG记录仪(美国Respironics公司)监测疑似OSA患者并记录其PSG数据。经过统计分析和特征选择后,基于支持向量机(SVM)构建的模型分别用于诊断中度和中重度OSA患者,阈值分别为AHI = 30和AHI = 15。
基于血氧饱和度测定得出的氧合血红蛋白去饱和指数(ODI)设计的SVM模型,在诊断重度OSA患者时,准确率为90.42 - 90.55%,灵敏度为89.36 - 89.87%,特异度为91.08 - 93.05%,ROC曲线下面积(AUC)为0.953 - 0.957;在诊断中重度OSA患者时,准确率为87.33 - 87.77%,灵敏度为87.71 - 88.53%,特异度为86.38 - 86.56%,AUC为0.921 - 0.924。ODI对重度OSA患者的预测结果优于对中重度OSA患者的预测结果。
夜间脉搏血氧饱和度测定在检测重度OSA患者方面具有令人满意的诊断性能。家庭式血氧饱和度测定可能是一种用于重度OSA诊断的工具。