Department of Information and Communications Systems Engineering, University San Pablo CEU, Boadilla del Monte, Km 5,300, Urbanización Montepríncipe, 28668 Madrid, Spain.
Ann Biomed Eng. 2012 Aug;40(8):1825-34. doi: 10.1007/s10439-012-0536-1. Epub 2012 Feb 29.
This article evaluates several indexes as support tools to diagnose patients with Sleep Apnea-Hypopnea Syndrome (SAHS). Some of these indexes, such as the Apnea-Hypopnea Index, have been standardized and studied in depth in the literature. Other indexes are used extensively in the reports that commercial polysomnographs generate. However, they have not been studied in detail and clinicians have no standardized guidelines for interpreting them. Examples are the mean and maximum duration of apneas and hypopneas. Finally, several novel indexes proposed by the authors are also evaluated. To evaluate the indexes, we have used a database of 274 patients who have undergone a polysomnographic test. Several feature selection techniques were used to assess the capability of each index to discriminate between healthy and SAHS patients. The capability of the indexes for diagnosing the patients was analyzed by using decision trees which were trained using each index individually, and all the indexes together. Our results suggest that some indexes which are often present in the reports of commercial polysomnographs provide little or no information. On the other hand, other indexes that are usually not considered have a great capability to discern between SAHS and control patients.
这篇文章评估了几个指标作为诊断睡眠呼吸暂停低通气综合征(SAHS)患者的辅助工具。其中一些指标,如呼吸暂停低通气指数,已经在文献中得到了标准化和深入研究。其他指标在商业多导睡眠图生成的报告中广泛使用,但尚未详细研究,临床医生也没有解释这些指标的标准化指南。例如,呼吸暂停和低通气的平均持续时间和最大持续时间。最后,还评估了作者提出的几个新指标。为了评估这些指标,我们使用了一个包含 274 名接受多导睡眠图测试的患者的数据库。使用了几种特征选择技术来评估每个指标区分健康患者和 SAHS 患者的能力。使用决策树分析了这些指标对患者进行诊断的能力,这些决策树是使用每个指标单独训练的,以及所有指标一起训练的。我们的结果表明,商业多导睡眠图报告中常见的一些指标提供的信息很少或没有。另一方面,通常不被考虑的其他指标在区分 SAHS 和对照患者方面具有很大的能力。