From evidence to practice: A systematic review‐based diagnostic algorithm for paediatric eosinophilia across socioeconomic context

Author:

Pellegrino Roberta1,Tosca Mariangela2,Timitilli Edoardo1,Naso Matteo2,Marseglia Gian Luigi3,Galli Luisa14ORCID,del Giudice Michele Miraglia5,Chiappini Elena14ORCID

Affiliation:

1. Department of Health Sciences University of Florence Florence Italy

2. Pediatric Allergy Center Istituto Giannina Gaslini IRCCS Genoa Italy

3. Pediatric Clinic Department of Paediatrics, Fondazione IRCCS Policlinico S. Matteo University of Pavia Pavia Italy

4. Infectious Diseases Unit Meyer Children's University Hospital IRCCS Florence Italy

5. Department of Woman, Child and of General and Specialised Surgery University of Campania ‘Luigi Vanvitelli’ Naples Italy

Abstract

AbstractAimPaediatric eosinophilia is a common clinical dilemma, often leading to resource‐ and time‐consuming assessments. We aim to evaluate the main aetiologies of eosinophilia in children from different socioeconomic settings and propose a diagnostic algorithm.MethodsA systematic literature review was conducted through PubMed, Embase and the Cochrane Library. Studies published from January 2012 to June 2023 reporting the incidence and aetiology of peripheral eosinophilia in children were included. Evidence from studies on children originating from low‐ or high‐income countries was compared.ResultsA total of 15 observational studies, encompassing 3409 children, were included. The causes of eosinophilia varied based on the children's origin and the eosinophilia severity. In children from high‐income countries, allergic diseases were the leading cause, with a prevalence of 7.7%–78.2%, while parasitosis ranged from 1.0% to 9.1%. In children from low‐income countries, parasitosis was predominant, ranging from 17.7% to 88.3%, although allergic diseases were found in 2.5%–4.8% of cases. Concerning severity, allergic diseases were the leading cause of mild‐to‐moderate eosinophilia; parasitosis was associated with moderate‐to‐severe eosinophilia, while immunological disorders were mostly found in severe cases.ConclusionWe developed a step‐up diagnostic algorithm that considers the child's origin and eosinophilia severity and could optimise resource allocation.

Publisher

Wiley

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