Optimizing understanding of food‐induced anaphylaxis phenotypes through clustering analysis.

Autor:	De Filippo, Maria, Fasola, Salvatore, Tanno, Luciana Kase, Brambilla, Ilaria, Votto, Martina, Grutta, Stefania La, Marseglia, Gian Luigi, Licari, Amelia
Předmět:	ANAPHYLAXIS CLUSTER analysis (Statistics) PEANUT allergy FOOD allergy PHENOTYPES ATOPIC dermatitis
Zdroj:	Clinical & Experimental Allergy; Oct2023, Vol. 53 Issue 10, p1050-1054, 5p, 1 Chart, 1 Graph
Abstrakt:	Keywords: children; cluster analysis; comorbidities; food-induced anaphylaxis; phenotype; severe allergic reaction EN children cluster analysis comorbidities food-induced anaphylaxis phenotype severe allergic reaction 1050 1054 5 10/09/23 20231001 NES 231001 Key messages Food-induced anaphylaxis (FIA) is a heterogeneous disease characterized by different triggers, clinical presentation and severity. Optimizing understanding of food-induced anaphylaxis phenotypes through clustering analysis Children, cluster analysis, comorbidities, food-induced anaphylaxis, phenotype, severe allergic reaction. [Extracted from the article]
Databáze:	Complementary Index
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