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“婴儿运动”前瞻性队列研究方案:使用一款智能手机应用程序结合通用运动评估来预测极早产儿或极低出生体重儿2岁时的神经发育结局。

The Baby Moves prospective cohort study protocol: using a smartphone application with the General Movements Assessment to predict neurodevelopmental outcomes at age 2 years for extremely preterm or extremely low birthweight infants.

作者信息

Spittle A J, Olsen J, Kwong A, Doyle L W, Marschik P B, Einspieler C, Cheong Jly

机构信息

Department of Physiotherapy, School of Health Science, University of Melbourne, Parkville, Victoria, Australia Victorian Infant Brain Studies, Clinical Sciences, Murdoch Childrens Research Institute, Parkville, Victoria, Australia Newborn Research, The Royal Women's Hospital, Parkville, Victoria, Australia.

Victorian Infant Brain Studies, Clinical Sciences, Murdoch Childrens Research Institute, Parkville, Victoria, Australia Newborn Research, The Royal Women's Hospital, Parkville, Victoria, Australia.

出版信息

BMJ Open. 2016 Oct 3;6(10):e013446. doi: 10.1136/bmjopen-2016-013446.

Abstract

INTRODUCTION

Infants born extremely preterm (EP; <28 weeks' gestation) and/or with extremely low birth weight (ELBW; <1000 g birth weight) are at increased risk for adverse neurodevelopmental outcomes. However, it is challenging to predict those EP/ELBW infants destined to have long-term neurodevelopmental impairments in order to target early intervention to those in most need. The General Movements Assessment (GMA) in early infancy has high predictive validity for neurodevelopmental outcomes in preterm infants. However, access to a GMA may be limited by geographical constraints and a lack of GMA-trained health professionals. Baby Moves is a smartphone application (app) developed for caregivers to video and upload their infant's general movements to be scored remotely by a certified GMA assessor. The aim of this study is to determine the predictive ability of using the GMA via the Baby Moves app for neurodevelopmental impairment in infants born EP/ELBW.

METHODS AND ANALYSIS

This prospective cohort study will recruit infants born EP/ELBW across the state of Victoria, Australia in 2016 and 2017. A control group of normal birth weight (>2500 g birth weight), term-born (≥37 weeks' gestation) infants will also be recruited as a local reference group. Parents will video their infant's general movements at two time points between 3 and 4 months' corrected age using the Baby Moves app. Videos will be scored by certified GMA assessors and classified as normal or abnormal. Parental satisfaction using the Baby Moves app will be assessed via survey. Neurodevelopmental outcome at 2 years' corrected age includes developmental delay according to the Bayley Scales of Infant and Toddler Development-III and cerebral palsy diagnosis.

ETHICS AND DISSEMINATION

This study was approved by the Human Research and Ethics Committees at the Royal Children's Hospital, The Royal Women's Hospital, Monash Health and Mercy Health in Melbourne, Australia. Study findings will be disseminated via peer-reviewed publications and conference presentations.

摘要

引言

极早产儿(EP;孕周<28周)和/或极低出生体重儿(出生体重<1000克)出现不良神经发育结局的风险增加。然而,预测哪些极早产儿/极低出生体重儿注定会有长期神经发育障碍,以便针对最需要的婴儿进行早期干预具有挑战性。婴儿早期的全身运动评估(GMA)对早产儿的神经发育结局具有较高的预测效度。然而,获取GMA评估可能受到地理限制以及缺乏经过GMA培训的卫生专业人员的限制。“宝宝动起来”是一款为照顾者开发的智能手机应用程序(应用),用于拍摄婴儿的全身运动并上传,由经过认证的GMA评估人员进行远程评分。本研究的目的是确定通过“宝宝动起来”应用程序使用GMA对极早产儿/极低出生体重儿神经发育障碍的预测能力。

方法与分析

这项前瞻性队列研究将招募2016年和2017年在澳大利亚维多利亚州出生的极早产儿/极低出生体重儿。还将招募一组出生体重正常(>2500克)、足月儿(孕周≥37周)作为本地参照组。父母将在矫正年龄3至4个月的两个时间点,使用“宝宝动起来”应用程序拍摄婴儿的全身运动。视频将由经过认证的GMA评估人员评分,并分为正常或异常。通过调查评估父母对“宝宝动起来”应用程序的满意度。矫正年龄2岁时的神经发育结局包括根据贝利婴幼儿发展量表第三版评估的发育迟缓以及脑瘫诊断。

伦理与传播

本研究已获得澳大利亚墨尔本皇家儿童医院、皇家妇女医院、莫纳什健康中心和仁慈健康中心的人类研究与伦理委员会批准。研究结果将通过同行评审出版物和会议报告进行传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fdb/5073614/211e343eb951/bmjopen2016013446f01.jpg

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