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OSA-18作为儿童阻塞性睡眠呼吸暂停候诊名单分流工具的有效性。

The efficacy of the OSA-18 as a waiting list triage tool for OSA in children.

作者信息

Walter Lisa M, Biggs Sarah N, Cikor Natascha, Rowe Kathy, Davey Margot J, Horne Rosemary S C, Nixon Gillian M

机构信息

The Ritchie Centre, Hudson Institute of Medical Research Melbourne, Level 5 Monash Medical Centre, 246 Clayton Road, Clayton, VIC, 3168, Australia.

Department of Paediatrics, Monash University, Melbourne, Australia.

出版信息

Sleep Breath. 2016 May;20(2):837-44. doi: 10.1007/s11325-015-1289-5. Epub 2015 Dec 15.

Abstract

PURPOSE

Sleep disordered breathing (SDB) is common in children, resulting in extensive waiting lists for specialist clinics. There is an urgent need for a valid method of triaging patients and the OSA-18, a disease-specific tool, is an attractive candidate for this role. We aimed to examine the OSA-18 as a measurement tool in detail and to determine whether the score or aspects of it could be used as a screening tool for SDB in children.

METHODS

Retrospective analysis of 582 children (6 months to 16.4 years)-216 underwent overnight PSG and 366 overnight oximetry. Confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) were conducted. Receiver operating characteristic curve analysis assessed the diagnostic accuracy of the factors for the presence of OSA. Rasch analysis was used to assess the structure of the items (1-18) and categories of response (Likert scale).

RESULTS

The CFA with a forced five-factor structure, revealed three factors with Eigenvalues >1, and explained 73.7 % of the variance. EFA resulted in a two-factor structure, explaining 60.3 % of the variance. Assessment of sensitivity and specificity showed a high false-positive rate, irrespective of the factor structure tested. Rasch analysis showed poor discrimination between adjacent categories on the Likert scale.

CONCLUSION

This study confirmed that the predictive value of the OSA-18 for SDB severity is weak. Some questions perform better than others statistically, and the seven categories of response introduce significant statistical noise, raising the possibility that modification of the OSA-18 may improve its performance in the prediction of OSA severity.

摘要

目的

睡眠呼吸障碍(SDB)在儿童中很常见,导致专科诊所的候诊名单很长。迫切需要一种有效的患者分流方法,而OSA-18(一种针对特定疾病的工具)是担任这一角色的有吸引力的候选者。我们旨在详细研究OSA-18作为一种测量工具,并确定其得分或某些方面是否可作为儿童SDB的筛查工具。

方法

对582名儿童(6个月至16.4岁)进行回顾性分析——216名儿童接受了夜间多导睡眠图(PSG)检查,366名儿童接受了夜间血氧饱和度测定。进行了验证性因素分析(CFA)和探索性因素分析(EFA)。采用受试者工作特征曲线分析评估各因素对阻塞性睡眠呼吸暂停(OSA)存在情况的诊断准确性。使用拉施分析评估项目(1 - 18项)和反应类别(李克特量表)的结构。

结果

具有强制五因素结构的CFA显示,有三个特征值大于1的因素,解释了73.7%的方差。EFA得出一个两因素结构,解释了60.3%的方差。敏感性和特异性评估显示,无论测试的因素结构如何,假阳性率都很高。拉施分析表明,李克特量表上相邻类别之间的区分度较差。

结论

本研究证实,OSA-18对SDB严重程度的预测价值较弱。一些问题在统计学上比其他问题表现更好,并且七个反应类别引入了显著的统计噪声,这增加了修改OSA-18可能改善其在预测OSA严重程度方面性能的可能性。

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