From evidence to practice: A systematic review-based diagnostic algorithm for paediatric eosinophilia across

Roberta Pellegrino1, Mariangela Tosca2, Edoardo Timitilli1

  • 1Department of Health Sciences, University of Florence, Florence, Italy.

Insights

Pediatric eosinophilia causes differ by socioeconomic status. Allergic diseases are common in high-income countries, while parasitic infections prevail in low-income settings. A new algorithm aids diagnosis.

Area of Science:

  • Pediatric Hematology
  • Clinical Immunology
  • Infectious Diseases

Background:

  • Pediatric eosinophilia presents a diagnostic challenge, often requiring extensive evaluations.
  • Understanding the varied etiologies across different socioeconomic settings is crucial for effective management.

Purpose of the Study:

  • To investigate the primary causes of pediatric eosinophilia in diverse socioeconomic environments.
  • To develop and propose a practical diagnostic algorithm for children with eosinophilia.

Main Methods:

  • A systematic literature review was performed using PubMed, Embase, and the Cochrane Library.
  • Studies published between January 2012 and June 2023 on pediatric peripheral eosinophilia were analyzed.
  • Data from high-income and low-income countries were compared.

Main Results:

  • Fifteen observational studies involving 3409 children were included.
  • In high-income countries, allergic diseases (7.7%-78.2%) predominated over parasitosis (1.0%-9.1%).
  • In low-income countries, parasitosis (17.7%-88.3%) was more common than allergic diseases (2.5%-4.8%).
  • Allergic diseases caused mild-to-moderate eosinophilia; parasitosis was linked to moderate-to-severe cases; immunological disorders were associated with severe eosinophilia.

Conclusions:

  • A step-up diagnostic algorithm was developed.
  • The algorithm incorporates the child's origin and eosinophilia severity.
  • This approach aims to optimize resource allocation in diagnosing pediatric eosinophilia.
Abstract