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International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries.
Bourgeois, Florence T; Gutiérrez-Sacristán, Alba; Keller, Mark S; Liu, Molei; Hong, Chuan; Bonzel, Clara-Lea; Tan, Amelia L M; Aronow, Bruce J; Boeker, Martin; Booth, John; Cruz Rojo, Jaime; Devkota, Batsal; García Barrio, Noelia; Gehlenborg, Nils; Geva, Alon; Hanauer, David A; Hutch, Meghan R; Issitt, Richard W; Klann, Jeffrey G; Luo, Yuan; Mandl, Kenneth D; Mao, Chengsheng; Moal, Bertrand; Moshal, Karyn L; Murphy, Shawn N; Neuraz, Antoine; Ngiam, Kee Yuan; Omenn, Gilbert S; Patel, Lav P; Jiménez, Miguel Pedrera; Sebire, Neil J; Balazote, Pablo Serrano; Serret-Larmande, Arnaud; South, Andrew M; Spiridou, Anastasia; Taylor, Deanne M; Tippmann, Patric; Visweswaran, Shyam; Weber, Griffin M; Kohane, Isaac S; Cai, Tianxi; Avillach, Paul.
  • Bourgeois FT; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts.
  • Gutiérrez-Sacristán A; Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.
  • Keller MS; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
  • Liu M; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
  • Hong C; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Bonzel CL; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
  • Tan ALM; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
  • Aronow BJ; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
  • Boeker M; Departments of Biomedical Informatics, Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Ohio.
  • Booth J; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Germany.
  • Cruz Rojo J; Digital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom.
  • Devkota B; Department of Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.
  • García Barrio N; Department of Biomedical Health Informatics and the Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Gehlenborg N; Department of Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Geva A; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
  • Hanauer DA; Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.
  • Hutch MR; Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts.
  • Issitt RW; Department of Learning Health Sciences, University of Michigan, Ann Arbor.
  • Klann JG; Department of Preventive Medicine, Northwestern University, Evanston, Illinois.
  • Luo Y; Digital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom.
  • Mandl KD; Department of Medicine, Massachusetts General Hospital, Boston.
  • Mao C; Department of Preventive Medicine, Northwestern University, Evanston, Illinois.
  • Moal B; Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.
  • Moshal KL; Department of Preventive Medicine, Northwestern University, Evanston, Illinois.
  • Murphy SN; IAM Unit, Bordeaux University Hospital, Bordeaux, France.
  • Neuraz A; Department of Infectious Diseases, Great Ormond Street Hospital for Children, London, United Kingdom.
  • Ngiam KY; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
  • Omenn GS; Department of Biomedical Informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris, University of Paris, Paris, France.
  • Patel LP; Department of Biomedical informatics, WiSDM, National University Health Systems Singapore, Singapore.
  • Jiménez MP; Department of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, & School of Public Health, University of Michigan, Ann Arbor.
  • Sebire NJ; Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City.
  • Balazote PS; Department of Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Serret-Larmande A; Digital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom.
  • South AM; Department of Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Spiridou A; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
  • Taylor DM; Department of Pediatrics-Section of Nephrology, Brenner Children's Hospital, Wake Forest School of Medicine, Winston Salem, North Carolina.
  • Tippmann P; Digital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom.
  • Visweswaran S; Department of Biomedical Health Informatics and the Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Weber GM; Department of Pediatrics, Perelman Medical School at the University of Pennsylvania, Philadelphia.
  • Kohane IS; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Germany.
  • Cai T; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Avillach P; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
JAMA Netw Open ; 4(6): e2112596, 2021 06 01.
Article in English | MEDLINE | ID: covidwho-1265355
Semantic information from SemMedBD (by NLM)
1. COVID-19 PROCESS_OF Child
Subject
COVID-19
Predicate
PROCESS_OF
Object
Child
2. Hospitalization TREATS Child
Subject
Hospitalization
Predicate
TREATS
Object
Child
3. Troponin PART_OF Heart
Subject
Troponin
Predicate
PART_OF
Object
Heart
4. Pharmaceutical Preparations TREATS Child
Subject
Pharmaceutical Preparations
Predicate
TREATS
Object
Child
5. Complication PROCESS_OF Child
Subject
Complication
Predicate
PROCESS_OF
Object
Child
6. COVID-19 PROCESS_OF Child
Subject
COVID-19
Predicate
PROCESS_OF
Object
Child
7. Hospitalization TREATS Child
Subject
Hospitalization
Predicate
TREATS
Object
Child
8. Troponin PART_OF Heart
Subject
Troponin
Predicate
PART_OF
Object
Heart
9. Pharmaceutical Preparations TREATS Child
Subject
Pharmaceutical Preparations
Predicate
TREATS
Object
Child
10. Complication PROCESS_OF Child
Subject
Complication
Predicate
PROCESS_OF
Object
Child
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Electronic Health Records / Pandemics / SARS-CoV-2 / COVID-19 / Hospitalization Subject: Electronic Health Records / Pandemics / SARS-CoV-2 / COVID-19 / Hospitalization Type of study: Controlled clinical trial / Observational study / Prognostic study / Risk factors Language: English Journal: JAMA Netw Open Clinical aspect: Etiology Year: 2021

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Electronic Health Records / Pandemics / SARS-CoV-2 / COVID-19 / Hospitalization Subject: Electronic Health Records / Pandemics / SARS-CoV-2 / COVID-19 / Hospitalization Type of study: Controlled clinical trial / Observational study / Prognostic study / Risk factors Language: English Journal: JAMA Netw Open Clinical aspect: Etiology Year: 2021
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