Roncolab 移动应用程序诊断儿童睡眠呼吸障碍(打鼾)主要体征的有效性。

Gerardo Aragón-Villalba, Gabriel Munoz-Quintana, Gisela N Rubin de Celis, José M Torres-Hortelano, Irene A Espinosa de Santillana
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引用次数: 0

摘要

睡眠呼吸障碍(SDB)是一组与睡眠时呼吸异常有关的疾病。打鼾很容易通过声音检测出来,是最常见的表现之一,也是睡眠呼吸障碍的主要标志。打鼾是睡眠时呼吸声音的特征,没有呼吸暂停、通气不足或睡眠中断。打鼾可能会降低睡眠的比例,并由于呼吸努力或气体交换而增加微量鼾声。一系列调查问卷已经过验证并适用于儿科人群,用于筛查需要进行实验室检测的患者。儿科睡眠问卷(PSQ)可筛查 SDB 并确定打鼾等主要体征。目的:比较 RoncoLab 应用程序和 PSQ 诊断打鼾的效率:这是一项观察性分析研究,研究对象是在墨西哥普埃布拉自治大学(BUAP)儿童牙科诊所就诊的 31 名 7-11 岁儿童。研究采用 PSQ 诊断 SDB。然后指导监护人如何下载和使用移动应用程序,以便在孩子在家睡觉时记录数据。在 95% 的置信水平下,通过科恩卡帕指数(Cohen's Kappa index)对 RoncoLab 和 PSQ 的一致性进行了统计分析:结果:识别原发性打鼾的 Kappa 指数为 0.743(p 结论:PSQ 和 RoncoLab 的一致性很好:在诊断原发性鼾症方面,PSQ 和 RoncoLab 的结果一致,灵敏度和特异性均可接受。
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Efficacy of Roncolab mobile application for diagnosing the primary sign of sleep-disordered breathing (snoring) in children.

Sleep-disordered breathing (SDB) is a group of disorders associated with breathing anomalies during sleep. Easily detectable by sound, snoring is one of the most common manifestations and the main sign of SDB. Snoring is characteristic of breathing sound during sleep, without apnea, hypoventilation, or interrupted sleep. It may reduce the percentage of sleep and increase microarousals due to breathing effort or gas exchange. A range of questionnaires have been validated and adapted to the pediatric population to screen for patients who require laboratory testing. The Pediatric Sleep Questionnaire (PSQ) screens for SDB and identifies primary signs such as snoring. RoncoLab is a mobile application that records and measures snoring intensity and frequency.

Aim: To compare the RoncoLab app and the PSQ regarding how efficiently they diagnose snoring.

Materials and method: This was an observational, analytical study of 31 children aged 7 to 11 years who visited the pediatric dental clinic at Benemérita Universidad Autónoma de Puebla, Mexico (BUAP). The PSQ was applied to diagnose SDB. Guardians were then instructed on how to download and use the mobile application to record data while the child was sleeping at home. Agreement between RoncoLab and the PSQ was analyzed statistically by Cohen's Kappa index at 95% confidence level.

Results: The Kappa index for identification of primary snoring was 0.743 (p<0.05). App sensitivity was 0.92, and specificity 0.82.

Conclusion: There is good agreement between PSQ and RoncoLab for diagnosing primary snoring, with acceptable sensitivity and specificity.

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