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Data from: Perfusion index in newborns during critical congenital heart disease screening at 24 hours in healthy newborns: retrospective observational study from the United States

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DataONE2017-09-01 更新2024-06-26 收录
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Objective: To describe the distribution of Perfusion Index (PI) in asymptomatic newborns at 24 hours of life when screening for Critical Congenital Heart Disease (CCHD) using an automated data selection method. Design: This is a retrospective observational study. Setting: Newborn nursery in a California public hospital with 3500 to 4000 deliveries annually. Methods: We developed an automated program to select the PI values from CCHD screens. Included were term and late preterm infants who were screened for CCHD from November 2013 to January 2014 and from May 2015 to July 2015. PI measurements were downloaded every 2 seconds from the pulse oximeter and median PI were calculated for each oxygen saturation screen in our cohort. Results: We included data from 2768 oxygen saturation screens. Each screen had a median of 29 data points (interquartile range 17 to 49). The median PI in our study cohort was 1.8 (95% confidence interval 1.8 to 1.9) with interquartile range 1.2 to 2.7. The median pre-ductal PI was significantly higher than the median post-ductal (1.9 vs. 1.8, p = 0.03) although this difference may not be clinically significant. Conclusion: Using an automated data selection method, the median PI in asymptomatic newborns at 24 hours of life is 1.8 with a narrow interquartile range of 1.2 to 2.7. This automated data selection method may improve accuracy and precision compared to manual data collection method. Further studies are needed to establish external validity of this automated data selection method and its clinical application for CCHD screening.

研究目的:采用自动化数据筛选方法,描述出生后24小时无症状新生儿在接受危重先天性心脏病(Critical Congenital Heart Disease, CCHD)筛查时的灌注指数(Perfusion Index, PI)分布情况。 研究设计:本研究为回顾性观察性研究。 研究场景:美国加利福尼亚州一所年分娩量3500~4000例的公立医疗机构新生儿病房。 研究方法:本研究开发了一款自动化程序,用于提取CCHD筛查中的PI数据。研究纳入2013年11月至2014年1月、2015年5月至2015年7月期间接受CCHD筛查的足月及晚期早产婴儿。研究每2秒从脉搏血氧仪(pulse oximeter)下载PI测量值,并为本队列中每一次血氧饱和度筛查计算中位PI值。 研究结果:本研究共纳入2768次血氧饱和度筛查数据。每次筛查的中位数据点数量为29(四分位间距17~49)。本研究队列的中位PI为1.8(95%置信区间1.8~1.9),四分位间距为1.2~2.7。导管前位的中位PI显著高于导管后位(1.9 vs 1.8,p=0.03),尽管该差异可能不具备临床意义。 研究结论:采用自动化数据筛选方法,出生后24小时无症状新生儿的中位PI为1.8,四分位间距为1.2~2.7,分布范围较窄。与手动数据采集方法相比,本自动化数据筛选方法可提升数据的准确性与精密度。未来仍需开展进一步研究以验证该自动化数据筛选方法的外部有效性,并探索其在CCHD筛查中的临床应用价值。
创建时间:
2017-09-01
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