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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

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...

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Autores principales: Mejias, Asuncion, Schuchard, Julia, Rao, Suchitra, Bennett, Tellen D., Jhaveri, Ravi, Thacker, Deepika, Bailey, L. Charles, Christakis, Dimitri A., Pajor, Nathan M., Razzaghi, Hanieh, Forrest, Christopher B., Lee, Grace M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943558/
https://www.ncbi.nlm.nih.gov/pubmed/36822507
http://dx.doi.org/10.1016/j.jpeds.2023.02.005
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author Mejias, Asuncion
Schuchard, Julia
Rao, Suchitra
Bennett, Tellen D.
Jhaveri, Ravi
Thacker, Deepika
Bailey, L. Charles
Christakis, Dimitri A.
Pajor, Nathan M.
Razzaghi, Hanieh
Forrest, Christopher B.
Lee, Grace M.
author_facet Mejias, Asuncion
Schuchard, Julia
Rao, Suchitra
Bennett, Tellen D.
Jhaveri, Ravi
Thacker, Deepika
Bailey, L. Charles
Christakis, Dimitri A.
Pajor, Nathan M.
Razzaghi, Hanieh
Forrest, Christopher B.
Lee, Grace M.
author_sort Mejias, Asuncion
collection PubMed
description 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.
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spelling pubmed-99435582023-02-22 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 Mejias, Asuncion Schuchard, Julia Rao, Suchitra Bennett, Tellen D. Jhaveri, Ravi Thacker, Deepika Bailey, L. Charles Christakis, Dimitri A. Pajor, Nathan M. Razzaghi, Hanieh Forrest, Christopher B. Lee, Grace M. J Pediatr Brief Report 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. Elsevier Inc. 2023-06 2023-02-22 /pmc/articles/PMC9943558/ /pubmed/36822507 http://dx.doi.org/10.1016/j.jpeds.2023.02.005 Text en © 2023 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Brief Report
Mejias, Asuncion
Schuchard, Julia
Rao, Suchitra
Bennett, Tellen D.
Jhaveri, Ravi
Thacker, Deepika
Bailey, L. Charles
Christakis, Dimitri A.
Pajor, Nathan M.
Razzaghi, Hanieh
Forrest, Christopher B.
Lee, Grace M.
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943558/
https://www.ncbi.nlm.nih.gov/pubmed/36822507
http://dx.doi.org/10.1016/j.jpeds.2023.02.005
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