FACTORS ASSOCIATED WITH INTRAVENTRICULAR HEMORRHAGE IN THE PRETERM NEONATE

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH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 中心，不一定是研究者的机构。 本研究的目的是确定和描述可能影响 或者给早产儿做示范通过三个试点项目，将在明年进行的伤害性刺激的反应。 主要的拨款提案将确定胎龄小于等于32周的早产儿人群中与有害刺激相关的脑血流动力学和生命体征，作为开发脑室内出血预测模型的第一步。提出了三个具体的试点项目。首先，一项名为？新生儿脑血流量的测量问题？将为工程师提供关于近红外光谱（NIRS）在新生儿中使用的数据。第二个项目，？NICU的峰值和持续噪声水平？将记录可能是NICU中混淆因素的环境变量。第三个项目，将在项目一和项目二完成后进行，将是什么？母婴因素与新生儿重症监护病房IVH发生的相关性研究该项目将是一个回顾性的图表审查，以提供人口统计和护理变量，可能是在预测模型的兴趣。

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. The purpose of this research is to identify and describe factors that may impact or demonstrate the preterm infant?s response to noxious stimuli via three pilot projects to be undertaken within the next year. The primary grant proposal will identify cerebral blood flow dynamics and vital signs associated withnoxious stimuli in the preterm infant population of less than and equal to 32 weeks gestational age as a first step in developing a predictive model for intraventricular hemorrhage. Three specific pilot projects are proposed. First, a study entitled ?Measurement Issues Related to Cerebral Blood Flow in the Neonatal Brain? will serve to provide the engineers on the major proposal with data on the use of Near Infrared Spectroscopy (NIRS) in the neonate. The second project, ?Peak and Sustained Noise Levels in the NICU? will document an environmental variable that may be a confounder in the NICU. The third project, to take place after the completion of projects one and two, will be ?Correlation of Maternal and Infant factors with Incidence of IVH in one NICU?. This project will be a retrospective chart review to provide demographic and care variables that may be of interest in the predictive model.