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Symptom clusters helping the assessment of SARS-COV-2-infected children: Amiens cohort versus European data

Hyppolite K Tchidjou1, Lucia Palandri2, Elena Righi2

  • 1Pediatric Emergency Services, Amiens University Hospital, Amiens, France.

Medicine
|July 15, 2022
PubMed

Insights

Identifying symptom clusters in pediatric COVID-19 cases can help predict illness severity. This research aids clinicians in early screening and patient management for better outcomes in children.

Area of Science:

  • Pediatric Infectious Diseases
  • Virology
  • Epidemiology

Background:

  • The SARS-CoV-2 pandemic has significantly impacted global health, with increasing pediatric cases.
  • Understanding clinical patterns in children is crucial for early prognosis and effective patient management.
  • This study addresses the need for better screening tools in pediatric emergency departments.

Purpose of the Study:

  • To investigate symptom clusterization in pediatric SARS-CoV-2 infections.
  • To explore the connection between symptom clusters and illness categories.
  • To aid first-line medical screening and orientation in pediatric emergency settings.

Main Methods:

  • Retrospective cohort study of SARS-CoV-2 infected children in a French monocentric cohort.
  • Description of clinical, laboratory, and radiological characteristics.
  • Scoping review of literature to investigate symptom clusters.

Main Results:

  • Analysis of 1086 tested children, with 48 testing positive for SARS-CoV-2.
  • Identification of two distinct clusters of clinical phenotypes.
  • Mucocutaneous-enteric and respiratory symptom clusters are associated with more severe illness.

Conclusions:

  • Early identification of prognostic patterns is vital for clinical decision-making.
  • This research supports improved management of pediatric COVID-19 patients.
  • Symptom cluster analysis offers a valuable tool for pediatric emergency departments.
Abstract

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