Optimizing understanding of food-induced anaphylaxis phenotypes through clustering analysis

Clin Exp Allergy. 2023 Oct;53(10):1050-1054. doi: 10.1111/cea.14358. Epub 2023 Jun 12.

Maria De Filippo^{1

2}, Salvatore Fasola³, Luciana Kase Tanno^{4

5

6}, Ilaria Brambilla², Martina Votto^{1

2}, Stefania La Grutta³, Gian Luigi Marseglia^{1

2}, Amelia Licari^{1

2

3}

¹ Pediatric Unit, Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
² Pediatric Clinic, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
³ Institute of Translational Pharmacology, National Research Council, Palermo, Italy.
⁴ Division of Allergy, Department of Pneumology, Allergology and Oncology, University Hospital of Montpellier, Montpellier, France.
⁵ Institut Desbrest d'Epidémiologie et de Santé Publique, UMR UA-11, University of Montpellier-INSERM, Montpellier, France.
⁶ WHO Collaborating Centre on Scientific Classification Support, Montpellier, France.

No abstract available

Keywords: children; cluster analysis; comorbidities; food-induced anaphylaxis; phenotype; severe allergic reaction.

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