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Leveraging Serologic Testing to Identify Children at Risk For Post-Acute Sequelae of SARS-CoV-2 Infection: An Electronic Health Record–Based Cohort Study from the RECOVER Program

  • Asuncion Mejias
  • , Julia Schuchard
  • , Suchitra Rao
  • , Tellen D. Bennett
  • , Ravi Jhaveri
  • , Deepika Thacker
  • , L. Charles Bailey
  • , Dimitri A. Christakis
  • , Nathan M. Pajor
  • , Hanieh Razzaghi
  • , Christopher B. Forrest
  • , Grace M. Lee
  • Nationwide Children’s Hospital
  • The Children's Hospital of Philadelphia
  • University of Colorado School of Medicine
  • Children's Memorial Hospital
  • Seattle Children's
  • Cincinnati Children's Hospital Medical Center
  • Stanford University

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Using an electronic health record–based algorithm, we identified children with Coronavirus disease 2019 (COVID-19) based exclusively on serologic testing between March 2020 and April 2022. Compared with the 131 537 polymerase chain reaction–positive children, the 2714 serology-positive children were more likely to be inpatients (24% vs 2%), to have a chronic condition (37% vs 24%), and to have a diagnosis of multisystem inflammatory syndrome in children (23% vs <1%). Identification of children who could have been asymptomatic or paucisymptomatic and not tested is critical to define the burden of post-acute sequelae of severe acute respiratory syndrome coronavirus 2 infection in children.

Original languageEnglish
Article number113358
Pages (from-to)113358
JournalJournal of Pediatrics
Volume257
DOIs
StatePublished - Jun 2023

Keywords

  • Antibodies, Viral
  • COVID-19 Testing
  • COVID-19/complications
  • Child
  • Cohort Studies
  • Disease Progression
  • Electronic Health Records
  • Humans
  • Post-Acute COVID-19 Syndrome
  • SARS-CoV-2

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