Suppr超能文献

《睡眠障碍量表在临床转介青少年失眠症中的应用:风险识别及其与多导睡眠图测量的关系》

Utility of the Sleep Disorders Inventory for Students in Clinically Referred Youth With Insomnia: Risk Identification and Relationship With Polysomnographic Measures.

机构信息

Division of Behavioral Medicine and Clinical Psychology/Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.

Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio.

出版信息

Behav Sleep Med. 2020 Mar-Apr;18(2):249-261. doi: 10.1080/15402002.2019.1578770. Epub 2019 Feb 22.

Abstract

: This study evaluated the overall performance of the Sleep Disorders Inventory for Students (SDIS) in identifying sleep disorders risk and the sensitivity and specificity of specific SDIS subscales in a clinically referred sample of youth with insomnia. : Youth ( = 1,329, = 2.5-18.99 years) with insomnia, of whom 392 underwent clinically indicated diagnostic PSG within ± 6 months of SDIS screening. : Risk identification for sleep disturbance warranting sleep specialist evaluation was determined based on elevation on any SDIS scale for the entire sample. Patients with obstructive sleep apnea (OSA) and periodic limb movement disorder (PMLD) based on PSG were evaluated in relation to SDIS-OSA and SDIS-PLMD subscales (T-scores ≥ 60), with sensitivity, specificity, and receiver operator characteristic curves computed. : Clinical elevation correctly identified 74.0% to 83.6% referred to a sleep specialist. Nearly 30% of the subsample undergoing PSG met criteria for OSA and 20.2% had PLMs. The SDIS-OSA subscale demonstrated low to fair sensitivity and specificity. The SDIS-PLMD subscale displayed low sensitivity and low (children) to fair (adolescents) specificity, with the area under the curve suggesting good classification accuracy for adolescents. : The SDIS performed well in identifying overall sleep disturbance risk in a large pediatric insomnia sample, suggesting careful examination of all subscales and total score to increase confidence in referral to a sleep specialist. Sensitivity and specificity indices highlight challenges in identifying primary sleep disorder risk and raise potential research questions regarding measurement of parent perceptions in children with insomnia. Additional research in nationally representative samples is warranted.

摘要

本研究评估了学生睡眠障碍问卷(SDIS)在识别睡眠障碍风险方面的整体表现,以及在临床转介的失眠青少年样本中特定 SDIS 分量表的敏感性和特异性。

研究对象为失眠青少年(n=1329,年龄 2.5-18.99 岁),其中 392 名在接受 SDIS 筛查后±6 个月内进行了临床推荐的 PSG。基于任何 SDIS 量表的评分升高,确定了需要睡眠专家评估的睡眠障碍风险。根据 PSG 诊断为阻塞性睡眠呼吸暂停(OSA)和周期性肢体运动障碍(PLMD)的患者,评估了与 SDIS-OSA 和 SDIS-PLMD 分量表(T 评分≥60)的关系,计算了敏感性、特异性和接受者操作特征曲线。

临床评分升高正确识别出 74.0%至 83.6%转诊给睡眠专家的患者。近 30%的 PSG 亚组符合 OSA 标准,20.2%的患者有 PLMs。SDIS-OSA 分量表的敏感性和特异性较低。SDIS-PLMD 分量表的敏感性较低(儿童),特异性较低(青少年),曲线下面积表明青少年的分类准确性较好。

SDIS 在识别大规模儿科失眠样本中的总体睡眠障碍风险方面表现良好,这表明需要仔细检查所有分量表和总分,以增加向睡眠专家转诊的信心。敏感性和特异性指数突出了识别原发性睡眠障碍风险的挑战,并提出了关于在失眠儿童中测量家长认知的潜在研究问题。需要在具有代表性的全国性样本中进行进一步研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验