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
Jegatheesan, Priya, Department of Pediatrics, Newborn Medicine
Nudelman, Matthew, Department of Pediatrics, Newborn Medicine
Goel, Keshav, Department of Pediatrics, Newborn Medicine
Song, Dongli, Department of Pediatrics, Newborn Medicine
Govindaswami, Balaji, Department of Pediatrics, Newborn Medicine
Published Sep 01, 2017 on Dryad.
Cite this dataset
Jegatheesan, Priya et al. (2017). 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 [Dataset]. Dryad. https://doi.org/10.5061/dryad.bs935
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.
Combined Raw Data - DataDryad
This is the raw data output downloaded from the Pulse Oximiter using Trendcom software (Masimo Corporation, Irvine, California).