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Analysis of Continuous Oxygen Saturation Data for Accurate Representation of Retinal Exposure to Oxygen in the Preterm Infant

机译:用于预先氧气暴露于早产儿氧气的连续氧饱和度数据的分析

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Maintaining blood oxygen saturation within the intended target range for preterm infants receiving neonatal intensive care is challenging. Supplemental oxygen is believed to lead to increased risk of retinopathy of prematurity and hence managing the level of oxygen within this population is important within their care. Current quality improvement activities use coarse hourly spot readings to measure supplemental oxygen levels as associated with targeted ranges that vary based on gestational age. In this research we use Artemis, a real-time online healthcare analytics platform to ascertain if the collection of second by second data provides a better representation of retinal exposure to oxygen than an infrequent, intermittent spot reading. We show that Artemis is capable of producing more accurate information from the higher frequency data, as it includes all the episodic events in the activity of the hour, which provides a better understanding of oxygen fluctuation ranges which affect the physiological status of the infant.
机译:在接受新生儿重症监护的早产儿的预期目标范围内保持血氧饱和度是挑战性的。据信,补充氧气导致早熟视网膜病变的风险增加,因此在其护理中管理该人群内的氧气水平是重要的。当前的质量改善活动使用粗小的每小时读数来测量与基于孕龄不同的目标范围相关的补充氧水平。在这项研究中,我们使用耳忒弥斯,一个实时在线的医疗分析平台,以确定是否第二的由第二数据收集提供了视网膜暴露于氧气比频繁,间歇点读更好的表现。我们表明Artemis能够从较高的频率数据产生更准确的信息,因为它包括小时活动中的所有情节事件,这提供了对影响婴儿的生理状态的氧气波动范围更好地理解。

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