Clinical-based phenotypes in children with pediatric post-COVID-19 condition

World J Pediatr. 2024 Jul;20(7):682-691. doi: 10.1007/s12519-024-00805-2. Epub 2024 Apr 25.

Abstract

Background: Pediatric post coronavirus disease 2019 (COVID-19) condition (PPCC) is a heterogeneous syndrome, which can significantly affect the daily lives of children. This study aimed to identify clinically meaningful phenotypes in children with PPCC, to better characterize and treat this condition.

Methods: Participants were children with physician-diagnosed PPCC, referred to the academic hospital Amsterdam UMC in the Netherlands between November 2021 and March 2023. Demographic factors and information on post-COVID symptoms, comorbidities, and impact on daily life were collected. Clinical clusters were identified using an unsupervised and unbiased approach for mixed data types.

Results: Analysis of 111 patients (aged 3-18 years) revealed three distinct clusters within PPCC. Cluster 1 (n = 62, median age = 15 years) predominantly consisted of girls (74.2%). These patients suffered relatively more from exercise intolerance, dyspnea, and smell disorders. Cluster 2 (n = 33, median age = 13 years) contained patients with an even gender distribution (51.5% girls). They suffered from relatively more sleep problems, memory loss, gastrointestinal symptoms, and arthralgia. Cluster 3 (n = 16, median age = 11 years) had a higher proportion of boys (75.0%), suffered relatively more from fever, had significantly fewer symptoms (median of 5 symptoms compared to 8 and 10 for clusters 1 and 2 respectively), and experienced a lower impact on daily life.

Conclusions: This study identified three distinct clinical PPCC phenotypes, with variations in sex, age, symptom patterns, and impact on daily life. These findings highlight the need for further research to understand the potentially diverse underlying mechanisms contributing to post-COVID symptoms in children.

Keywords: Adolescents; Clusters; Long COVID; Pediatric; Phenotypes; Post-COVID syndrome.

MeSH terms

  • Adolescent
  • COVID-19* / epidemiology
  • Child
  • Child, Preschool
  • Female
  • Humans
  • Male
  • Netherlands / epidemiology
  • Phenotype*
  • Post-Acute COVID-19 Syndrome
  • SARS-CoV-2