Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms

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Zimmet, Amanda M; Sullivan, Brynne A; Fairchild, Karen D; Moorman, J Randall; Isler, Joseph R; Wallman-Stokes, Aaron W; Sahni, Rakesh; Vesoulis, Zachary A; Ratcliffe, Sarah J; Lake, Douglas E, 2021, "Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms", https://doi.org/10.18130/V3/7UAPHU, University of Virginia Dataverse, V1

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Dataset Description	This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms. Pediatric Research 2021. https://doi.org/10.1038/s41390-021-01428-3. EXPLANATION OF DATA FILES AND CODE To understand all of the included data files and to tell you which key files do what, review the ReadMe_VitalSignMetrics_20200226.txt file. HOW TO USE THE CODE After reviewing ReadMe_VitalSignMetrics_20200226.txt file, follow the entire code progression from raw data (the raw data itself could not be published), to summary data (included in this repository), through figure generation, via the script Pipeline.m. ABSTRACT Background: Continuous heart rate (HR) and oxygenation (SpO₂) metrics can be useful for predicting adverse events in very low birth weight (VLBW) infants. To optimize the utility of these tools, inter-site variability must be taken into account. Methods: For VLBW infants at three NICUs, we analyzed the mean, standard deviation, skewness, kurtosis, and cross-correlation of electrocardiogram HR, pulse oximeter pulse rate, and SpO₂. The number and durations of bradycardia and desaturation events were also measured. Twenty-two metrics were calculated hourly, and mean daily values were compared between sites. Results: We analyzed data from 1,168 VLBW infants from birth through day 42 (35,238 infant-days). HR and SpO₂ metrics were similar at the three NICUs, with mean HR rising by ~10 beats/minute over the first two weeks and mean SpO₂ remaining stable around 94% over time. The number of bradycardia events was higher at one site, and the duration of desaturations was longer at another site. Conclusion: Mean HR and SpO₂ were generally similar among VLBW infants at three NICUs from birth through six weeks of age, but bradycardia and desaturation events differed in the first two weeks after birth. This highlights the importance of developing predictive analytics tools at multiple sites.
Subject	Medicine, Health and Life Sciences
Keyword	neonate, neonatology, newborn, prematurity, preterm infants, continuous monitoring, predictive analytics, algorithm
Related Work/Article	Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms. Pediatric Research 2021. https://doi.org/10.1038/s41390-021-01428-3. doi: https://doi.org/10.1038/s41390-021-01428-3
License/Data Use Agreement	CC0 1.0

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Citation Metadata

Dataset Persistent ID	doi:10.18130/V3/7UAPHU
Publication Date	2021-04-07
Title	Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms
Author	Zimmet, Amanda M (University of Virginia, Department of Medicine) - ORCID: 0000-0003-1457-3072 Sullivan, Brynne A (University of Virginia, Department of Pediatrics) - ORCID: 0000-0001-9580-4121 Fairchild, Karen D (University of Virginia, Department of Pediatrics) - ORCID: 0000-0002-1081-8741 Moorman, J Randall (University of Virginia, Department of Medicine) - ORCID: 0000-0002-5772-1648 Isler, Joseph R (Columbia University, Department of Pediatrics) - ORCID: 0000-0001-5814-3838 Wallman-Stokes, Aaron W (Columbia University, Department of Pediatrics) - ORCID: 0000-0002-5945-490X Sahni, Rakesh (Columbia University, Department of Pediatrics) Vesoulis, Zachary A (Washington University St. Louis, Department of Pediatrics) - ORCID: 0000-0001-8290-0069 Ratcliffe, Sarah J (University of Virginia, Department of Public Health Science) - ORCID: 0000-0002-6644-8284 Lake, Douglas E (University of Virginia, Department of Medicine) - ORCID: 0000-0001-6259-4850
Contact	Use email button above to contact. Lake, Douglas E (Department of Medicine)
Dataset Description	This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms. Pediatric Research 2021. https://doi.org/10.1038/s41390-021-01428-3. EXPLANATION OF DATA FILES AND CODE To understand all of the included data files and to tell you which key files do what, review the ReadMe_VitalSignMetrics_20200226.txt file. HOW TO USE THE CODE After reviewing ReadMe_VitalSignMetrics_20200226.txt file, follow the entire code progression from raw data (the raw data itself could not be published), to summary data (included in this repository), through figure generation, via the script Pipeline.m. ABSTRACT Background: Continuous heart rate (HR) and oxygenation (SpO₂) metrics can be useful for predicting adverse events in very low birth weight (VLBW) infants. To optimize the utility of these tools, inter-site variability must be taken into account. Methods: For VLBW infants at three NICUs, we analyzed the mean, standard deviation, skewness, kurtosis, and cross-correlation of electrocardiogram HR, pulse oximeter pulse rate, and SpO₂. The number and durations of bradycardia and desaturation events were also measured. Twenty-two metrics were calculated hourly, and mean daily values were compared between sites. Results: We analyzed data from 1,168 VLBW infants from birth through day 42 (35,238 infant-days). HR and SpO₂ metrics were similar at the three NICUs, with mean HR rising by ~10 beats/minute over the first two weeks and mean SpO₂ remaining stable around 94% over time. The number of bradycardia events was higher at one site, and the duration of desaturations was longer at another site. Conclusion: Mean HR and SpO₂ were generally similar among VLBW infants at three NICUs from birth through six weeks of age, but bradycardia and desaturation events differed in the first two weeks after birth. This highlights the importance of developing predictive analytics tools at multiple sites.
Subject	Medicine, Health and Life Sciences
Keyword	neonate neonatology newborn prematurity preterm infants continuous monitoring predictive analytics algorithm
Related Work/Article	Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms. Pediatric Research 2021. https://doi.org/10.1038/s41390-021-01428-3. doi: https://doi.org/10.1038/s41390-021-01428-3
Language	English
Producer	University of Virginia (UVA) Columbia University (CU) Washington University St. Louis (WUSTL)
Data Creation Date	2012-01-01
Production Place	University of Virginia, Columbia University, Washington University St. Louis
Grant/Funding Information	HHS \| NIH \| Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD): R01 HD072071 HHS \| NIH \| Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD): K23 HD097254-01 HHS \| NIH \| National Institute of Neurological Disorders and Stroke (NINDS): K23 NS111086
Depositor	Zimmet, Amanda
Deposit Date	2021-02-08
Time Period Covered	Start: 2012 ; End: 2018
Date of Collection	Start: 2012 ; End: 2018
Software	MATLAB, Version: 2019a

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