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The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study

BACKGROUND: The spectrum of illness and predictors of severity among children with SARS-CoV-2 infection are incompletely understood. METHODS: Active surveillance was performed for SARS-CoV-2 by polymerase chain reaction among symptomatic pediatric patients in a quaternary care academic hospital labo...

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Autores principales: Howard, Leigh M., Garguilo, Kathryn, Gillon, Jessica, LeBlanc, Kerry, Seegmiller, Adam C., Schmitz, Jonathan E., Byrne, Daniel W., Domenico, Henry J., Moore, Ryan P., Webber, Steven A., Halasa, Natasha B., Banerjee, Ritu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435399/
https://www.ncbi.nlm.nih.gov/pubmed/34517879
http://dx.doi.org/10.1186/s12887-021-02863-1
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author Howard, Leigh M.
Garguilo, Kathryn
Gillon, Jessica
LeBlanc, Kerry
Seegmiller, Adam C.
Schmitz, Jonathan E.
Byrne, Daniel W.
Domenico, Henry J.
Moore, Ryan P.
Webber, Steven A.
Halasa, Natasha B.
Banerjee, Ritu
author_facet Howard, Leigh M.
Garguilo, Kathryn
Gillon, Jessica
LeBlanc, Kerry
Seegmiller, Adam C.
Schmitz, Jonathan E.
Byrne, Daniel W.
Domenico, Henry J.
Moore, Ryan P.
Webber, Steven A.
Halasa, Natasha B.
Banerjee, Ritu
author_sort Howard, Leigh M.
collection PubMed
description BACKGROUND: The spectrum of illness and predictors of severity among children with SARS-CoV-2 infection are incompletely understood. METHODS: Active surveillance was performed for SARS-CoV-2 by polymerase chain reaction among symptomatic pediatric patients in a quaternary care academic hospital laboratory beginning March 12, 2020. We obtained sociodemographic and clinical data 5 (+/-3) and 30 days after diagnosis via phone follow-up and medical record review. Logistic regression was used to assess predictors of hospitalization. RESULTS: The first 1000 symptomatic pediatric patients were diagnosed in our institution between March 13, 2020 and September 28, 2020. Cough (52 %), headache (43 %), and sore throat (36 %) were the most common symptoms. Forty-one (4 %) were hospitalized; 8 required ICU admission, and 2 required mechanical ventilation (< 1 %). One patient developed multisystem inflammatory syndrome in children; one death was possibly associated with SARS-CoV-2 infection. Symptom resolution occurred by follow-up day 5 in 398/892 (45 %) patients and by day 30 in 443/471 (94 %) patients. Pre-existing medical condition (OR 7.7; 95 % CI 3.9–16.0), dyspnea (OR 6.8; 95 % CI 3.2–14.1), Black race or Hispanic ethnicity (OR 2.7; 95 % CI 1.3–5.5), and vomiting (OR 5.4; 95 % CI 1.2–20.6) were the strongest predictors of hospitalization. The model displayed excellent discriminative ability (AUC = 0.82, 95 % CI 0.76–0.88, Brier score = 0.03). CONCLUSIONS: In 1000 pediatric patients with systematic follow-up, most SARS-CoV-2 infections were mild, brief, and rarely required hospitalization. Pediatric predictors of hospitalization included comorbid conditions, Black race, Hispanic ethnicity, dyspnea and vomiting and were distinct from those reported among adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-021-02863-1.
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spelling pubmed-84353992021-09-13 The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study Howard, Leigh M. Garguilo, Kathryn Gillon, Jessica LeBlanc, Kerry Seegmiller, Adam C. Schmitz, Jonathan E. Byrne, Daniel W. Domenico, Henry J. Moore, Ryan P. Webber, Steven A. Halasa, Natasha B. Banerjee, Ritu BMC Pediatr Research BACKGROUND: The spectrum of illness and predictors of severity among children with SARS-CoV-2 infection are incompletely understood. METHODS: Active surveillance was performed for SARS-CoV-2 by polymerase chain reaction among symptomatic pediatric patients in a quaternary care academic hospital laboratory beginning March 12, 2020. We obtained sociodemographic and clinical data 5 (+/-3) and 30 days after diagnosis via phone follow-up and medical record review. Logistic regression was used to assess predictors of hospitalization. RESULTS: The first 1000 symptomatic pediatric patients were diagnosed in our institution between March 13, 2020 and September 28, 2020. Cough (52 %), headache (43 %), and sore throat (36 %) were the most common symptoms. Forty-one (4 %) were hospitalized; 8 required ICU admission, and 2 required mechanical ventilation (< 1 %). One patient developed multisystem inflammatory syndrome in children; one death was possibly associated with SARS-CoV-2 infection. Symptom resolution occurred by follow-up day 5 in 398/892 (45 %) patients and by day 30 in 443/471 (94 %) patients. Pre-existing medical condition (OR 7.7; 95 % CI 3.9–16.0), dyspnea (OR 6.8; 95 % CI 3.2–14.1), Black race or Hispanic ethnicity (OR 2.7; 95 % CI 1.3–5.5), and vomiting (OR 5.4; 95 % CI 1.2–20.6) were the strongest predictors of hospitalization. The model displayed excellent discriminative ability (AUC = 0.82, 95 % CI 0.76–0.88, Brier score = 0.03). CONCLUSIONS: In 1000 pediatric patients with systematic follow-up, most SARS-CoV-2 infections were mild, brief, and rarely required hospitalization. Pediatric predictors of hospitalization included comorbid conditions, Black race, Hispanic ethnicity, dyspnea and vomiting and were distinct from those reported among adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-021-02863-1. BioMed Central 2021-09-13 /pmc/articles/PMC8435399/ /pubmed/34517879 http://dx.doi.org/10.1186/s12887-021-02863-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Howard, Leigh M.
Garguilo, Kathryn
Gillon, Jessica
LeBlanc, Kerry
Seegmiller, Adam C.
Schmitz, Jonathan E.
Byrne, Daniel W.
Domenico, Henry J.
Moore, Ryan P.
Webber, Steven A.
Halasa, Natasha B.
Banerjee, Ritu
The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study
title The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study
title_full The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study
title_fullStr The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study
title_full_unstemmed The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study
title_short The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study
title_sort first 1000 symptomatic pediatric sars-cov-2 infections in an integrated health care system: a prospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435399/
https://www.ncbi.nlm.nih.gov/pubmed/34517879
http://dx.doi.org/10.1186/s12887-021-02863-1
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