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Multisystem inflammatory syndrome in 1.2 million children: longitudinal cohort study of risk factors

BACKGROUND: We identified patient characteristics associated with an increased risk of developing MIS-C. METHODS: We conducted a longitudinal cohort study of 1,195,327 patients aged 0–19 years between 2006 and 2021, including the first two waves of the pandemic (February 25–August 22, 2020 and Augus...

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Autores principales: Auger, Nathalie, Côté-Corriveau, Gabriel, Kang, Harb, Quach, Caroline, Lo, Ernest, Lee, Ga Eun, Healy-Profitós, Jessica, Brousseau, Émilie, Luu, Thuy Mai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10191400/
https://www.ncbi.nlm.nih.gov/pubmed/37198405
http://dx.doi.org/10.1038/s41390-023-02633-y
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author Auger, Nathalie
Côté-Corriveau, Gabriel
Kang, Harb
Quach, Caroline
Lo, Ernest
Lee, Ga Eun
Healy-Profitós, Jessica
Brousseau, Émilie
Luu, Thuy Mai
author_facet Auger, Nathalie
Côté-Corriveau, Gabriel
Kang, Harb
Quach, Caroline
Lo, Ernest
Lee, Ga Eun
Healy-Profitós, Jessica
Brousseau, Émilie
Luu, Thuy Mai
author_sort Auger, Nathalie
collection PubMed
description BACKGROUND: We identified patient characteristics associated with an increased risk of developing MIS-C. METHODS: We conducted a longitudinal cohort study of 1,195,327 patients aged 0–19 years between 2006 and 2021, including the first two waves of the pandemic (February 25–August 22, 2020 and August 23, 2020-March 31, 2021). Exposures included prepandemic morbidity, birth outcomes, and family history of maternal disorders. Outcomes included MIS-C, Kawasaki disease, and other Covid-19 complications during the pandemic. We calculated risk ratios (RRs) and 95% confidence intervals (CIs) for the association between patient exposures and these outcomes using log-binomial regression models adjusted for potential confounders. RESULTS: Among 1,195,327 children, 84 developed MIS-C, 107 Kawasaki disease, and 330 other Covid-19 complications during the first year of the pandemic. Prepandemic hospitalizations for metabolic disorders (RR 11.3, 95% CI 5.61–22.6), atopic conditions (RR 3.34, 95% CI 1.60–6.97), and cancer (RR 8.11, 95% CI 1.13–58.3) were strongly associated with the risk of MIS-C, compared with no exposure. These same exposures were also associated with Kawasaki disease and other Covid-19 complications. However, birth characteristics and history of maternal morbidity were not associated with MIS-C development. CONCLUSIONS: Children with pre-existing morbidity have a considerably elevated risk of MIS-C. IMPACT: Morbidities that predispose children to multisystem inflammatory syndrome (MIS-C) are unclear. In this study, prepandemic hospitalizations for metabolic disorders, atopic conditions, and cancer were associated with an elevated risk of MIS-C. Birth characteristics and family history of maternal morbidity were not, however, associated with MIS-C. Pediatric morbidities may play a greater role in MIS-C onset than maternal or perinatal characteristics, and may help clinicians better recognize children at risk for this complication.
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spelling pubmed-101914002023-05-19 Multisystem inflammatory syndrome in 1.2 million children: longitudinal cohort study of risk factors Auger, Nathalie Côté-Corriveau, Gabriel Kang, Harb Quach, Caroline Lo, Ernest Lee, Ga Eun Healy-Profitós, Jessica Brousseau, Émilie Luu, Thuy Mai Pediatr Res Population Study Article BACKGROUND: We identified patient characteristics associated with an increased risk of developing MIS-C. METHODS: We conducted a longitudinal cohort study of 1,195,327 patients aged 0–19 years between 2006 and 2021, including the first two waves of the pandemic (February 25–August 22, 2020 and August 23, 2020-March 31, 2021). Exposures included prepandemic morbidity, birth outcomes, and family history of maternal disorders. Outcomes included MIS-C, Kawasaki disease, and other Covid-19 complications during the pandemic. We calculated risk ratios (RRs) and 95% confidence intervals (CIs) for the association between patient exposures and these outcomes using log-binomial regression models adjusted for potential confounders. RESULTS: Among 1,195,327 children, 84 developed MIS-C, 107 Kawasaki disease, and 330 other Covid-19 complications during the first year of the pandemic. Prepandemic hospitalizations for metabolic disorders (RR 11.3, 95% CI 5.61–22.6), atopic conditions (RR 3.34, 95% CI 1.60–6.97), and cancer (RR 8.11, 95% CI 1.13–58.3) were strongly associated with the risk of MIS-C, compared with no exposure. These same exposures were also associated with Kawasaki disease and other Covid-19 complications. However, birth characteristics and history of maternal morbidity were not associated with MIS-C development. CONCLUSIONS: Children with pre-existing morbidity have a considerably elevated risk of MIS-C. IMPACT: Morbidities that predispose children to multisystem inflammatory syndrome (MIS-C) are unclear. In this study, prepandemic hospitalizations for metabolic disorders, atopic conditions, and cancer were associated with an elevated risk of MIS-C. Birth characteristics and family history of maternal morbidity were not, however, associated with MIS-C. Pediatric morbidities may play a greater role in MIS-C onset than maternal or perinatal characteristics, and may help clinicians better recognize children at risk for this complication. Nature Publishing Group US 2023-05-17 /pmc/articles/PMC10191400/ /pubmed/37198405 http://dx.doi.org/10.1038/s41390-023-02633-y Text en © The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Population Study Article
Auger, Nathalie
Côté-Corriveau, Gabriel
Kang, Harb
Quach, Caroline
Lo, Ernest
Lee, Ga Eun
Healy-Profitós, Jessica
Brousseau, Émilie
Luu, Thuy Mai
Multisystem inflammatory syndrome in 1.2 million children: longitudinal cohort study of risk factors
title Multisystem inflammatory syndrome in 1.2 million children: longitudinal cohort study of risk factors
title_full Multisystem inflammatory syndrome in 1.2 million children: longitudinal cohort study of risk factors
title_fullStr Multisystem inflammatory syndrome in 1.2 million children: longitudinal cohort study of risk factors
title_full_unstemmed Multisystem inflammatory syndrome in 1.2 million children: longitudinal cohort study of risk factors
title_short Multisystem inflammatory syndrome in 1.2 million children: longitudinal cohort study of risk factors
title_sort multisystem inflammatory syndrome in 1.2 million children: longitudinal cohort study of risk factors
topic Population Study Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10191400/
https://www.ncbi.nlm.nih.gov/pubmed/37198405
http://dx.doi.org/10.1038/s41390-023-02633-y
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