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

Nathalie Auger1,2,3,4, Gabriel Côté-Corriveau5,6,7, Harb Kang8

  • 1Health Innovation and Evaluation Hub, University of Montreal Hospital Research Centre, Montreal, QC, Canada. nathalie.auger@inspq.qc.ca.

Pediatric Research
|May 17, 2023
PubMed

Insights

Children with prior metabolic disorders, atopic conditions, or cancer face a significantly higher risk of developing multisystem inflammatory syndrome (MIS-C). Maternal and birth factors did not influence MIS-C risk in this large pediatric study.

Area of Science:

  • Pediatric Health
  • Infectious Disease Epidemiology
  • Immunology

Background:

  • Multisystem inflammatory syndrome in children (MIS-C) is a rare but serious complication of COVID-19.
  • Identifying risk factors for MIS-C is crucial for early recognition and management.
  • Previous studies have not clearly defined the pediatric morbidities predisposing children to MIS-C.

Purpose of the Study:

  • To identify patient characteristics associated with an increased risk of developing MIS-C.
  • To investigate the association between prepandemic morbidities and MIS-C, Kawasaki disease, and other COVID-19 complications.
  • To determine the role of birth outcomes and maternal history in MIS-C development.

Main Methods:

  • A longitudinal cohort study of 1,195,327 children aged 0-19 years was conducted between 2006 and 2021.
  • Data included prepandemic morbidity, birth outcomes, family history, and COVID-19 related outcomes during the pandemic.
  • Log-binomial regression models were used to calculate risk ratios (RRs) and 95% confidence intervals (CIs) for associations.

Main Results:

  • Prepandemic hospitalizations for metabolic disorders (RR 11.3), atopic conditions (RR 3.34), and cancer (RR 8.11) were strongly associated with increased MIS-C risk.
  • These prepandemic conditions also correlated with Kawasaki disease and other COVID-19 complications.
  • Birth characteristics and maternal morbidity history showed no association with MIS-C development.

Conclusions:

  • Children with pre-existing pediatric morbidities, specifically metabolic disorders, atopic conditions, and cancer, have a substantially elevated risk of MIS-C.
  • Pediatric morbidities appear to be more significant predictors of MIS-C than maternal or perinatal factors.
  • These findings can aid clinicians in identifying high-risk children for MIS-C.
Abstract

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