Evidence map›Paper›PMID 34115127›Full record

ArticleJAMA network open2021

International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries.

Florence T Bourgeois, Alba Gutiérrez-Sacristán, Mark S Keller, Molei Liu, Chuan Hong, Clara-Lea Bonzel, Amelia L M Tan, Bruce J Aronow, Martin Boeker, John Booth and 33 more

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
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  17. Observational
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  20. The intersection of COVID-19 and autoimmunity.The Journal of clinical investigation · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

43 authors.

Florence T BourgeoisDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts.
Alba Gutiérrez-SacristánDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Mark S KellerDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Molei LiuDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Chuan HongDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Clara-Lea BonzelDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Amelia L M TanDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Bruce J AronowDepartments of Biomedical Informatics, Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Ohio.
Martin BoekerInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Germany.
John BoothDigital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom.
Jaime Cruz RojoDepartment of Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.
Batsal DevkotaDepartment of Biomedical Health Informatics and the Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Noelia García BarrioDepartment of Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.
Nils GehlenborgDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Alon GevaComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.
David A HanauerDepartment of Learning Health Sciences, University of Michigan, Ann Arbor.
Meghan R HutchDepartment of Preventive Medicine, Northwestern University, Evanston, Illinois.
Richard W IssittDigital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom.
Jeffrey G KlannDepartment of Medicine, Massachusetts General Hospital, Boston.
Yuan LuoDepartment of Preventive Medicine, Northwestern University, Evanston, Illinois.
Kenneth D MandlComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.
Chengsheng MaoDepartment of Preventive Medicine, Northwestern University, Evanston, Illinois.
Bertrand MoalIAM Unit, Bordeaux University Hospital, Bordeaux, France.
Karyn L MoshalDepartment of Infectious Diseases, Great Ormond Street Hospital for Children, London, United Kingdom.
Shawn N MurphyDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
Antoine NeurazDepartment of Biomedical Informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris, University of Paris, Paris, France.
Kee Yuan NgiamDepartment of Biomedical informatics, WiSDM, National University Health Systems Singapore, Singapore.
Gilbert S OmennDepartment of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, & School of Public Health, University of Michigan, Ann Arbor.
Lav P PatelDepartment of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City.
Miguel Pedrera JiménezDepartment of Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.
Neil J SebireDigital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom.
Pablo Serrano BalazoteDepartment of Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.
Arnaud Serret-LarmandeDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Andrew M SouthDepartment of Pediatrics-Section of Nephrology, Brenner Children's Hospital, Wake Forest School of Medicine, Winston Salem, North Carolina.
Anastasia SpiridouDigital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom.
Deanne M TaylorDepartment of Biomedical Health Informatics and the Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Patric TippmannInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Germany.
Shyam VisweswaranDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania.
Griffin M WeberDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Isaac S KohaneDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Tianxi CaiDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Paul AvillachComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.
Consortium for Clinical Characterization of COVID-19 by EHR (4CE)

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
RADx-UP: Improving the Response of Local Urban and Rural Communities to Disparities in Covid-19 TestingUL1TR002366 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Mario Castro, JAMES STEVEN LEEDER · 2017 to 2026
$44.3M
RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Pediatric Critical Care Scientist Development ProgramK12HD047349 · NICHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI HEATHER T. KEENAN, Kevin M Watt · 2004 to 2026
$17.0M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
The LungMAP Data Coordination Center for Next Gen Systems Biology of RespirationU24HL148865 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI Bruce J Aronow, Nathan G. Salomonis · 2019 to 2026
$12.4M
Leveraging electronic health records to optimize treatment selection and response in multiple sclerosisR01NS098023 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Zongqi Xia · 2016 to 2026
$4.6M
British Heart Foundation FS/19/52/34563Medical Research Council MC_PC_18034NCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001422NCATS NIH HHS UL1 TR001857NCATS NIH HHS UL1 TR002240NCATS NIH HHS UL1 TR002366NCATS NIH HHS UL1 TR002541NHGRI NIH HHS R01 HG009174NHGRI NIH HHS T32 HG002295NHLBI NIH HHS K23 HL148394NHLBI NIH HHS L40 HL148910NHLBI NIH HHS U24 HL148865NICHD NIH HHS K12 HD047349NINDS NIH HHS R01 NS098023NLM NIH HHS R01 LM013337NLM NIH HHS R01 LM013345NLM NIH HHS T15 LM007092NLM NIH HHS T32 LM012203
6 · The paper itself

Abstract

Importance: Additional sources of pediatric epidemiological and clinical data are needed to efficiently study COVID-19 in children and youth and inform infection prevention and clinical treatment of pediatric patients. Objective: To describe international hospitalization trends and key epidemiological and clinical features of children and youth with COVID-19. Design, Setting, and Participants: This retrospective cohort study included pediatric patients hospitalized between February 2 and October 10, 2020. Patient-level electronic health record (EHR) data were collected across 27 hospitals in France, Germany, Spain, Singapore, the UK, and the US. Patients younger than 21 years who tested positive for COVID-19 and were hospitalized at an institution participating in the Consortium for Clinical Characterization of COVID-19 by EHR were included in the study. Main Outcomes and Measures: Patient characteristics, clinical features, and medication use. Results: There were 347 males (52%; 95% CI, 48.5-55.3) and 324 females (48%; 95% CI, 44.4-51.3) in this study's cohort. There was a bimodal age distribution, with the greatest proportion of patients in the 0- to 2-year (199 patients [30%]) and 12- to 17-year (170 patients [25%]) age range. Trends in hospitalizations for 671 children and youth found discrete surges with variable timing across 6 countries. Data from this cohort mirrored national-level pediatric hospitalization trends for most countries with available data, with peaks in hospitalizations during the initial spring surge occurring within 23 days in the national-level and 4CE data. A total of 27 364 laboratory values for 16 laboratory tests were analyzed, with mean values indicating elevations in markers of inflammation (C-reactive protein, 83 mg/L; 95% CI, 53-112 mg/L; ferritin, 417 ng/mL; 95% CI, 228-607 ng/mL; and procalcitonin, 1.45 ng/mL; 95% CI, 0.13-2.77 ng/mL). Abnormalities in coagulation were also evident (D-dimer, 0.78 ug/mL; 95% CI, 0.35-1.21 ug/mL; and fibrinogen, 477 mg/dL; 95% CI, 385-569 mg/dL). Cardiac troponin, when checked (n = 59), was elevated (0.032 ng/mL; 95% CI, 0.000-0.080 ng/mL). Common complications included cardiac arrhythmias (15.0%; 95% CI, 8.1%-21.7%), viral pneumonia (13.3%; 95% CI, 6.5%-20.1%), and respiratory failure (10.5%; 95% CI, 5.8%-15.3%). Few children were treated with COVID-19-directed medications. Conclusions and Relevance: This study of EHRs of children and youth hospitalized for COVID-19 in 6 countries demonstrated variability in hospitalization trends across countries and identified common complications and laboratory abnormalities in children and youth with COVID-19 infection. Large-scale informatics-based approaches to integrate and analyze data across health care systems complement methods of disease surveillance and advance understanding of epidemiological and clinical features associated with COVID-19 in children and youth.

Indexed as

PandemicsSARS-CoV-2AdolescentChildChild, PreschoolCOVID-19Electronic Health RecordsFemaleGlobal HealthHospitalizationHumansInfantInfant, NewbornMaleRetrospective Studies

Identifiers

PMID34115127
PMCPMC8196345

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.