Can photoscreening effectively detect amblyogenic risk factors in children with neurodevelopmental disability?

照片筛查能否有效检测出神经发育障碍儿童的弱视风险因素?

阅读:1

Abstract

PURPOSE: To analyze whether photoscreening can effectively detect amblyogenic risk factors in children with neurodevelopmental disability. METHODS: A prospective study of 52 children attending a special school for children with neurodevelopmental disability from December 2017 to May 2018. All were initially tested with a photoscreening device: Welch Allyn® Spot® Vision Screener: model VS100 (Spot®) and further evaluated at a later date by a pediatric ophthalmologist, with a complete ocular evaluation including squint assessment, cycloplegic retinoscopy, and dilated fundus examination. The key parameters studied were demographic features, type of neurodevelopmental disability, refraction, ocular alignment, media clarity, any other ocular morbidity, and time taken for examination. The presence of amblyogenic risk factors (ARF) was analyzed as per the 2013 guidelines of the American Association for Pediatric Ophthalmology and Strabismus. RESULTS: The mean age was 10.5 years (range: 1-17.5 years). Males (73.1%) outnumbered females (26.9%). The most common neurodevelopmental disability was cerebral palsy. Simple myopic astigmatism was the most common type of refractive error. Presence of ARF in our study was 73.1%. The sensitivity and specificity of photoscreening in detecting ARF were 96.5% and 63.61%, respectively, with a positive predictive value of 80% and negative predictive value of 92.31%. The predictive ability of photoscreening was 79.9% as per the area under curve. The average time taken for photoscreening was less than 60 s. CONCLUSION: Photoscreening can detect ARF with high sensitivity and reasonable specificity and is a handy, useful, and time-saving tool in screening children with neurodevelopmental disability.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。