Development of a prediction model of severe reaction in boiled egg challenges | Zendy

Shiro Sugiura | Zendy; Teruaki Matsui | Zendy; Tomoko Nakagawa | Zendy; Kemal Sasaki | Zendy; Joon Nakata | Zendy; Naoyuki Kando | Zendy; Komei Ito | Zendy

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Development of a prediction model of severe reaction in boiled egg challenges

Author(s) -

Shiro Sugiura,

Teruaki Matsui,

Tomoko Nakagawa,

Kemal Sasaki,

Joon Nakata,

Naoyuki Kando,

Komei Ito

Publication year - 2016

Publication title -

allergology international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.49

H-Index - 58

eISSN - 1440-1592

pISSN - 1323-8930

DOI - 10.1016/j.alit.2016.01.005

Subject(s) - receiver operating characteristic , logistic regression , multivariate statistics , oral food challenge , area under the curve , medicine , anaphylaxis , food allergy , allergy , computer science , immunology , machine learning

We have proposed a new scoring system (Anaphylaxis SCoring Aichi: ASCA) for a quantitative evaluation of the anaphylactic reaction that is observed in an oral food challenge (OFC). Furthermore, the TS/Pro (Total Score of ASCA/cumulative protein dose) can be a marker to represent the overall severity of a food allergy. We aimed to develop a prediction model for a severe allergic reaction that is provoked in a boiled egg white challenge.

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