Optimizing understanding of food-induced anaphylaxis phenotypes through clustering analysis

被引：1
作者：
De Filippo, Maria [1 ,2 ]
Fasola, Salvatore [3 ]
Tanno, Luciana Kase [4 ,5 ,6 ]
Brambilla, Ilaria [2 ,7 ]
Votto, Martina [1 ,2 ]
La Grutta, Stefania [3 ]
Marseglia, Gian Luigi [1 ,2 ]
Licari, Amelia [1 ,2 ,3 ]
机构：
[1] Univ Pavia, Dept Clin Surg Diagnost & Pediat Sci, Pediat Unit, Pavia, Italy
[2] Fdn IRCCS Policlin San Matteo, Pediat Clin, Pavia, Italy
[3] CNR, Inst Translat Pharmacol, Palermo, Italy
[4] Univ Hosp Montpellier, Dept Pneumol Allergol & Oncol, Div Allergy, Montpellier, France
[5] Univ Montpellier, Inst Desbrest Epidemiol & Sante Publ, INSERM, UMR UA 11, Montpellier, France
[6] WHO Collaborating Ctr Sci Classificat Support, Montpellier, France
[7] Univ Pavia, Fdn IRCCS Policlin San Matteo, Piazzale Golgi 19, I-27100 Pavia, Italy
来源：
CLINICAL AND EXPERIMENTAL ALLERGY | 2023年 / 53卷 / 10期
关键词：
children; cluster analysis; comorbidities; food-induced anaphylaxis; phenotype; severe allergic reaction;
D O I：
10.1111/cea.14358
中图分类号：
R392 [医学免疫学];
学科分类号：
100102 ;
摘要：
引用
收藏
页码：1050 / 1054
页数：5
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