Suppr超能文献

30个月大儿童神经发育风险分诊工具的开发。

Development of a triage tool for neurodevelopmental risk in children aged 30 months.

作者信息

Sim Fiona, Haig Caroline, O'Dowd John, Thompson Lucy, Law James, McConnachie Alex, Gillberg Christopher, Wilson Philip

机构信息

Centre for Rural Health, University of Aberdeen, Centre for Health Sciences, Old Perth Rd, Inverness IV2 3JH, Scotland, UK.

Robertson Centre for Biostatistics, University of Glasgow, Boyd Orr Building, Glasgow G12 8QQ, Scotland, UK.

出版信息

Res Dev Disabil. 2015 Oct-Nov;45-46:69-82. doi: 10.1016/j.ridd.2015.07.017. Epub 2015 Jul 28.

Abstract

Neurodevelopmental and neuropsychiatric disorders in young children predict educational, health and social problems. Early identification may significantly reduce this burden but relevant tools largely lack validation. We aimed to develop and evaluate the predictive validity of a simple screening tool for neurodevelopmental problems in a community sample of 30 month old children. A sample of children was selected from a community cohort screened at 30 months by health visitors using the Sure Start Language Measure (SSLM) and the Strengths and Difficulties Questionnaire (SDQ) in 2011. Predictive validity was assessed by comparing screening results with detailed psychometric data from the same sample 1-2 years later. Screening performance using different thresholds was explored using Receiver Operating Characteristic (ROC) with ROC area under the curve (AUC) and bootstrapping techniques. The SSLM predicted both language disorder identified by the New Reynell Developmental Language Scales (NRDLS) at follow-up (AUC 0.905) and global developmental delay assessed by the Griffiths Mental Development Scales (AUC 0.983). The SDQ administered at 30 months predicted psychiatric disorders identified by the Development and Wellbeing Assessment (DAWBA) at follow-up (AUC 0.821). Using optimal cut-offs for the SDQ and SSLM at 30 months, both tools together had sensitivity 87%; specificity 64%; positive predictive value 31%; and negative predictive value 97% in the prediction of any kind of neurodevelopmental problem 1-2 years later. The combined measure reported here is not yet sufficient as a stand-alone population screening tool for neurodevelopmental disorders. The SSLM and SDQ did however show promise in identifying preschool children at risk of ongoing language, psychiatric disorders and global developmental delay 1-2 years later but with fairly high false positive rates. Given that current developmental risk prediction in resource-poor settings is little better than random assignment, the SDQ and SSLM may aid clinical judgement when used as interim triage tools for practitioners with no specialist knowledge, in the context of longitudinal follow-up arrangements.

摘要

幼儿的神经发育和神经精神障碍预示着教育、健康和社会问题。早期识别可能会显著减轻这一负担,但相关工具大多缺乏验证。我们旨在开发并评估一种针对30个月大儿童社区样本中神经发育问题的简单筛查工具的预测效度。从一个社区队列中选取了一组儿童,2011年健康访视员使用“确保开端语言测评”(SSLM)和“优势与困难问卷”(SDQ)对其进行了30个月的筛查。通过将筛查结果与1 - 2年后同一组样本的详细心理测量数据进行比较,评估预测效度。使用受试者工作特征曲线(ROC)以及曲线下面积(AUC)和自助抽样技术,探索了不同阈值下的筛查性能。SSLM预测了随访时由新雷内尔发育性语言量表(NRDLS)确定的语言障碍(AUC 0.905)以及由格里菲斯心理发展量表评估的整体发育迟缓(AUC 0.983)。30个月时进行的SDQ预测了随访时由发育与幸福评估(DAWBA)确定的精神障碍(AUC 0.821)。在30个月时对SDQ和SSLM使用最佳截断值,这两种工具共同预测1 - 2年后任何类型神经发育问题时,灵敏度为87%;特异度为64%;阳性预测值为31%;阴性预测值为97%。此处报告的综合测量方法作为神经发育障碍的独立人群筛查工具还不够充分。然而,SSLM和SDQ在识别1 - 2年后有持续语言、精神障碍和整体发育迟缓风险的学龄前儿童方面显示出前景,但假阳性率相当高。鉴于在资源匮乏环境中当前的发育风险预测并不比随机分配好多少,在纵向随访安排的背景下,当SDQ和SSLM作为没有专业知识的从业者的临时分诊工具使用时,可能有助于临床判断。

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