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Predicting food allergy: The value of patient history reinforced

BACKGROUND: EAACI guidelines emphasize the importance of patient history in diagnosing food allergy (FA) and the need for studies investigating its value using standardized allergy‐focused questionnaires. OBJECTIVE: To determine the contribution of reaction characteristics, allergic comorbidities an...

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Autores principales: Lyons, Sarah A., Knulst, André C., Burney, Peter G. J., Fernandez‐Rivas, Montserrat, Ballmer‐Weber, Barbara K., Barreales, Laura, Bieli, Christian, Clausen, Michael, Dubakiene, Ruta, Fernandez‐Perez, Cristina, Jedrzejczak‐Czechowicz, Monika, Kowalski, Marek L., Kummeling, Ischa, Kralimarkova, Tanya, Mustakov, Tihomir B., van Os‐Medendorp, Harmieke, Papadopoulos, Nikolaos G., Popov, Todor A., Potts, James, Versteeg, Serge A., Xepapadaki, Paraskevi, Welsing, Paco M. J., Mills, Clare, van Ree, Ronald, Le, Thuy‐My
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246712/
https://www.ncbi.nlm.nih.gov/pubmed/32894581
http://dx.doi.org/10.1111/all.14583
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author Lyons, Sarah A.
Knulst, André C.
Burney, Peter G. J.
Fernandez‐Rivas, Montserrat
Ballmer‐Weber, Barbara K.
Barreales, Laura
Bieli, Christian
Clausen, Michael
Dubakiene, Ruta
Fernandez‐Perez, Cristina
Jedrzejczak‐Czechowicz, Monika
Kowalski, Marek L.
Kummeling, Ischa
Kralimarkova, Tanya
Mustakov, Tihomir B.
van Os‐Medendorp, Harmieke
Papadopoulos, Nikolaos G.
Popov, Todor A.
Potts, James
Versteeg, Serge A.
Xepapadaki, Paraskevi
Welsing, Paco M. J.
Mills, Clare
van Ree, Ronald
Le, Thuy‐My
author_facet Lyons, Sarah A.
Knulst, André C.
Burney, Peter G. J.
Fernandez‐Rivas, Montserrat
Ballmer‐Weber, Barbara K.
Barreales, Laura
Bieli, Christian
Clausen, Michael
Dubakiene, Ruta
Fernandez‐Perez, Cristina
Jedrzejczak‐Czechowicz, Monika
Kowalski, Marek L.
Kummeling, Ischa
Kralimarkova, Tanya
Mustakov, Tihomir B.
van Os‐Medendorp, Harmieke
Papadopoulos, Nikolaos G.
Popov, Todor A.
Potts, James
Versteeg, Serge A.
Xepapadaki, Paraskevi
Welsing, Paco M. J.
Mills, Clare
van Ree, Ronald
Le, Thuy‐My
author_sort Lyons, Sarah A.
collection PubMed
description BACKGROUND: EAACI guidelines emphasize the importance of patient history in diagnosing food allergy (FA) and the need for studies investigating its value using standardized allergy‐focused questionnaires. OBJECTIVE: To determine the contribution of reaction characteristics, allergic comorbidities and demographics to prediction of FA in individuals experiencing food‐related adverse reactions. METHODS: Adult and school‐age participants in the standardized EuroPrevall population surveys, with self‐reported FA, were included. Penalized multivariable regression was used to assess the association of patient history determinants with “probable” FA, defined as a food‐specific case history supported by relevant IgE sensitization. RESULTS: In adults (N = 844), reproducibility of reaction (OR 1.35 [95% CI 1.29‐1.41]), oral allergy symptoms (OAS) (4.46 [4.19‐4.75]), allergic rhinitis (AR) comorbidity (2.82 [2.68‐2.95]), asthma comorbidity (1.38 [1.30‐1.46]) and male sex (1.50 [1.41‐1.59]) were positively associated with probable FA. Gastrointestinal symptoms (0.88 [0.85‐0.91]) made probable FA less likely. The AUC of a model combining all selected predictors was 0.85 after cross‐validation. In children (N = 670), OAS (2.26 [2.09‐2.44]) and AR comorbidity (1.47 [CI 1.39‐1.55]) contributed most to prediction of probable FA, with a combined cross‐validation‐based AUC of 0.73. When focusing on plant foods, the dominant source of FA in adults, the pediatric model also included gastrointestinal symptoms (inverse association), and the AUC increased to 0.81. CONCLUSIONS: In both adults and school‐age children from the general population, reporting of OAS and of AR comorbidity appear to be the strongest predictors of probable FA. Patient history particularly allows for good discrimination between presence and absence of probable plant FA.
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spelling pubmed-82467122021-07-02 Predicting food allergy: The value of patient history reinforced Lyons, Sarah A. Knulst, André C. Burney, Peter G. J. Fernandez‐Rivas, Montserrat Ballmer‐Weber, Barbara K. Barreales, Laura Bieli, Christian Clausen, Michael Dubakiene, Ruta Fernandez‐Perez, Cristina Jedrzejczak‐Czechowicz, Monika Kowalski, Marek L. Kummeling, Ischa Kralimarkova, Tanya Mustakov, Tihomir B. van Os‐Medendorp, Harmieke Papadopoulos, Nikolaos G. Popov, Todor A. Potts, James Versteeg, Serge A. Xepapadaki, Paraskevi Welsing, Paco M. J. Mills, Clare van Ree, Ronald Le, Thuy‐My Allergy ORIGINAL ARTICLES BACKGROUND: EAACI guidelines emphasize the importance of patient history in diagnosing food allergy (FA) and the need for studies investigating its value using standardized allergy‐focused questionnaires. OBJECTIVE: To determine the contribution of reaction characteristics, allergic comorbidities and demographics to prediction of FA in individuals experiencing food‐related adverse reactions. METHODS: Adult and school‐age participants in the standardized EuroPrevall population surveys, with self‐reported FA, were included. Penalized multivariable regression was used to assess the association of patient history determinants with “probable” FA, defined as a food‐specific case history supported by relevant IgE sensitization. RESULTS: In adults (N = 844), reproducibility of reaction (OR 1.35 [95% CI 1.29‐1.41]), oral allergy symptoms (OAS) (4.46 [4.19‐4.75]), allergic rhinitis (AR) comorbidity (2.82 [2.68‐2.95]), asthma comorbidity (1.38 [1.30‐1.46]) and male sex (1.50 [1.41‐1.59]) were positively associated with probable FA. Gastrointestinal symptoms (0.88 [0.85‐0.91]) made probable FA less likely. The AUC of a model combining all selected predictors was 0.85 after cross‐validation. In children (N = 670), OAS (2.26 [2.09‐2.44]) and AR comorbidity (1.47 [CI 1.39‐1.55]) contributed most to prediction of probable FA, with a combined cross‐validation‐based AUC of 0.73. When focusing on plant foods, the dominant source of FA in adults, the pediatric model also included gastrointestinal symptoms (inverse association), and the AUC increased to 0.81. CONCLUSIONS: In both adults and school‐age children from the general population, reporting of OAS and of AR comorbidity appear to be the strongest predictors of probable FA. Patient history particularly allows for good discrimination between presence and absence of probable plant FA. John Wiley and Sons Inc. 2020-09-24 2021-05 /pmc/articles/PMC8246712/ /pubmed/32894581 http://dx.doi.org/10.1111/all.14583 Text en © 2020 The Authors. Allergy published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle ORIGINAL ARTICLES
Lyons, Sarah A.
Knulst, André C.
Burney, Peter G. J.
Fernandez‐Rivas, Montserrat
Ballmer‐Weber, Barbara K.
Barreales, Laura
Bieli, Christian
Clausen, Michael
Dubakiene, Ruta
Fernandez‐Perez, Cristina
Jedrzejczak‐Czechowicz, Monika
Kowalski, Marek L.
Kummeling, Ischa
Kralimarkova, Tanya
Mustakov, Tihomir B.
van Os‐Medendorp, Harmieke
Papadopoulos, Nikolaos G.
Popov, Todor A.
Potts, James
Versteeg, Serge A.
Xepapadaki, Paraskevi
Welsing, Paco M. J.
Mills, Clare
van Ree, Ronald
Le, Thuy‐My
Predicting food allergy: The value of patient history reinforced
title Predicting food allergy: The value of patient history reinforced
title_full Predicting food allergy: The value of patient history reinforced
title_fullStr Predicting food allergy: The value of patient history reinforced
title_full_unstemmed Predicting food allergy: The value of patient history reinforced
title_short Predicting food allergy: The value of patient history reinforced
title_sort predicting food allergy: the value of patient history reinforced
topic ORIGINAL ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246712/
https://www.ncbi.nlm.nih.gov/pubmed/32894581
http://dx.doi.org/10.1111/all.14583
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