2017
DOI: 10.1111/pai.12806
|View full text |Cite
|
Sign up to set email alerts
|

Development of a prediction model for severe wheat allergy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
6
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 15 publications
(6 citation statements)
references
References 12 publications
0
6
0
Order By: Relevance
“…Predictive models using multivariate logistic regression analysis already have been developed for egg, wheat, and milk allergy and these are promising in efforts to stratify risk for severity of allergic reaction during peanut OFC with these foods. 1315 For peanut allergy, certain biomarkers have been associated with reaction severity during peanut OFCs, such as isolated sensitization to Ara h 2, epitope diversity (i.e., extent of IgE binding to the combination of Ara h 1, 2, and 3), and results of changes in levels of basophil CD63 or CD203c staining in basophil activation tests (BATs) upon ex vivo activation of basophils with peanut allergen. 1619 In this study, we sought to develop a predictive algorithm to identify individuals with peanut allergy who are at higher risk for severe reactions during standardized peanut OFC.…”
Section: Introductionmentioning
confidence: 99%
“…Predictive models using multivariate logistic regression analysis already have been developed for egg, wheat, and milk allergy and these are promising in efforts to stratify risk for severity of allergic reaction during peanut OFC with these foods. 1315 For peanut allergy, certain biomarkers have been associated with reaction severity during peanut OFCs, such as isolated sensitization to Ara h 2, epitope diversity (i.e., extent of IgE binding to the combination of Ara h 1, 2, and 3), and results of changes in levels of basophil CD63 or CD203c staining in basophil activation tests (BATs) upon ex vivo activation of basophils with peanut allergen. 1619 In this study, we sought to develop a predictive algorithm to identify individuals with peanut allergy who are at higher risk for severe reactions during standardized peanut OFC.…”
Section: Introductionmentioning
confidence: 99%
“…An increasing dose (0.2‐0.5‐1‐2‐5 g) of boiled udon noodles was given every 30 minutes until the objective allergic symptoms were observed. The severity of symptoms was scored using the Anaphylaxis Scoring Aichi (ASCA), a scoring system developed in our department (Figure ) . In the ASCA system, the total score (TS; maximum 240 points) is defined as the sum of the 5 organ scores (1 to 60 points) observed throughout a course of OFCs.…”
Section: Methodsmentioning
confidence: 99%
“…The severity of symptoms was scored using the Anaphylaxis Scoring Aichi (ASCA), a scoring system developed in our department ( Figure S1). [24][25][26][27] In the ASCA system, the total score (TS; maximum 240 points) is defined as the sum of the 5 organ scores (1 to 60 points) observed throughout a course of OFCs. To express the overall result of the OFC, TS/Pro (points/g) was defined by dividing the TS by the cumulative protein dose of the allergen (Pro).…”
Section: Oral Food Challenge To Wheatmentioning
confidence: 99%
“…One step in this process is to evaluate various biomarkers or patient-specific factors as predictive markers of the severity of reactions during OFCs. 44,[121][122][123][124][125][126][127][128] While some biomarkers including food-specific IgE level, BAT, component-resolved diagnostics and epitope mapping have been studied in this regard, no test has been well validated to predict the risk of severity of reaction in real-world settings and some are not readily available. This is partly because the severity of food-allergic reactions in the real world is dependent on too many factors beyond these biomarkers (e.g., the allergen itself, dose ingested, comorbidities, external cofactors, such as exercise or viral illness).…”
Section: An We Pred Ic T the S E Verit Y Of Food -Allerg I C Re Ac Ti...mentioning
confidence: 99%