Infants hospitalized for acute COVID-19: disease severity in a multicenter cohort study

Joanna Merckx1, Shaun K Morris2, Ari Bitnun2

  • 1Department of Epidemiology, Biostatistics and Occupational Health, McGill University, McGill College, Suite 1200, Montreal, QC, H3A 1G1, Canada. joanna-trees.merckx@mcgill.ca.

Insights

Infants admitted for COVID-19 had a lower risk of severe disease compared to older children. Despite comprising one-third of cases, infants experienced shorter hospital stays and reduced odds of critical illness.

Area of Science:

  • Pediatric Infectious Diseases
  • Epidemiology of Viral Infections

Background:

  • Age is a key factor in COVID-19 severity, often following a J-shaped curve where infants and the elderly are most affected.
  • Most infectious diseases, including respiratory viral infections, show increased severity in infants compared to older children.

Purpose of the Study:

  • To compare the disease severity of infants and older children admitted with acute COVID-19.
  • To analyze clinical and laboratory characteristics associated with COVID-19 severity across different pediatric age groups.

Main Methods:

  • A multicenter retrospective cohort study involving 17 pediatric hospitals.
  • Analysis of children aged 0-17 years admitted for acute COVID-19 between February 2020 and May 2021.
  • Ordinal logistic regression used to estimate the association between age group and disease severity.

Main Results:

  • Infants represented one-third of all admitted pediatric COVID-19 cases.
  • Infants had shorter hospital admissions (median 3 days) compared to older children (median 4 days).
  • Infants had significantly lower odds of developing severe or critical COVID-19 (OR 0.50).

Conclusions:

  • Infants admitted for COVID-19 demonstrated lower severity compared to older children.
  • Despite a potential lower threshold for admission, infants had better outcomes and shorter hospital stays.
  • Findings challenge the typical J-shaped disease severity curve for COVID-19 in pediatric populations.

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