Optimizing understanding of food‐induced anaphylaxis phenotypes through clustering analysis-Reference-Cited by-同舟云学术

Optimizing understanding of food‐induced anaphylaxis phenotypes through clustering analysis

Published:2023-06-12 Issue:10 Volume:53 Page:1050-1054
ISSN:0954-7894
Container-title:Clinical & Experimental Allergy
language:en
Short-container-title:Clin Experimental Allergy

Author:

De Filippo Maria¹²^ORCID,Fasola Salvatore³^ORCID,Tanno Luciana Kase⁴⁵⁶^ORCID,Brambilla Ilaria²^ORCID,Votto Martina¹²^ORCID,Grutta Stefania La³^ORCID,Marseglia Gian Luigi¹²^ORCID,Licari Amelia¹²³^ORCID

Affiliation:

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

Publisher

Wiley

Subject

Immunology,Immunology and Allergy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cea.14358

Reference9 articles.

1. EAACI guidelines: Anaphylaxis (2021 update)

2. Risk factors for severe reactions in food allergy: Rapid evidence review with meta‐analysis

3. Anaphylaxis and Emergency Treatment

4. Cluster analysis of 505 real‐life food‐induced anaphylaxis in children reveals two stable clinical phenotypes

5. Phenotyping of immediate‐type food allergies based on 10 years of research: A latent class analysis