In Bourgeois et al,1 the authors demonstrate the utility of electronic health record (EHR) data structures to systematically study an otherwise understudied population in the context of an ongoing pandemic. Furthermore, they provide an example of how to perform such analyses using data stored in different data models across different countries. Through the Consortium for Clinical Characterization of COVID-19 by EHR (4CE), data from 27 hospitals in 6 countries (from a larger consortium of global data from 351 hospitals from 7 countries) were combined to study COVID-19–associated clinical outcomes in the pediatric population, uncovering findings of elevated markers of inflammation, evidence of abnormalities in coagulation, cardiac arrhythmias, viral pneumonia, and respiratory failure. This work adds further knowledge to the manifestations of COVID-19 in children and youth that have been previously studied in systematic reviews.2,3
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Published: June 11, 2021. doi:10.1001/jamanetworkopen.2021.12874
Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Schlueter DJ. JAMA Network Open.
Corresponding Author: David Jeffrey Schlueter, PhD, Precision Health Informatics Section, Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, 50 S Dr, Bethesda, MD 20892 (firstname.lastname@example.org).
Conflict of Interest Disclosures: None reported.
Funding/Support: This research was supported by the Intramural Research Program of the National Human Genome Research Institute, National Institutes of Health.
Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Disclaimer: The opinions expressed here are those of the author(s) and do not necessarily represent the view or policies of the institution to which they are affiliated.
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