NEURODEVELOPMENTAL OUTCOME OF PREMATURE INFANTS

早产儿的神经发育结果

• 批准号: 8167359
• 负责人: MOHAMED EL-DIB
• 金额: $ 2.59万
• 依托单位: CHILDREN'S RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-20 至 2010-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8167359
• 关键词: Clinical; Computer Retrieval of Information on Scientific Projects Database; Counseling; Detection; Early treatment; Electroencephalography; Family; Funding; Grant; Head; Impairment; Individual; Institution; Measurement; Measures; Neonatal; Neurodevelopmental Impairment; Outcome; Premature Infant; Research; Research Personnel; Resources; Source; Ultrasonography; United States National Institutes of Health; Very Low Birth Weight Infant; high risk; neurobehavioral; neuroimaging; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Very Low Birth Weight (VLBW) premature infants are at high risk for neurodevelopmental impairments. Early prediction and detection of these impairments is important for appropriate counseling of the family and initiation of early interventions. Individual measures of clinical status prior to discharge from the NICU have low sensitivity in predicting neurodevelopmental impairments. We hypothesize that using a combination of neuroimaging (serial head ultrasounds), neurophysiologic measurement (amplitude integrated EEG), and clinical neurobehavioral examination (Neonatal Network Neurobehavioral Scale) will be more predictive of neurodevelopmental outcome of premature infants than each individual tool used separately.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 极低出生体重（VLBW）早产儿出现神经发育障碍的风险很高。早期预测和发现这些障碍对于家庭的适当咨询和早期干预措施的启动非常重要。从 NICU 出院前对临床状态进行个体测量对于预测神经发育障碍的敏感性较低。我们假设，结合使用神经影像学（串行头部超声）、神经生理学测量（振幅积分脑电图）和临床神经行为检查（新生儿网络神经行为量表）将比单独使用每种单独的工具更能预测早产儿的神经发育结果。