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Prediction of clinical peanut allergy status among children in Hamilton, Ontario using chart review data collected during 2012–2015
BACKGROUND: Peanut sensitization does not necessarily indicate clinical peanut allergy, and uncertainty as to whether or not there is true peanut allergy can lead to increased anxiety and decreased quality of life for patients and their families. The gold standard for diagnosing clinical peanut alle...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299665/ https://www.ncbi.nlm.nih.gov/pubmed/28194191 http://dx.doi.org/10.1186/s13223-017-0179-8 |
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author | Simms, Elizabeth Foster, Gary Arias, Katherine Larché, Mark Freitag, Tosha Walker, Tina Goncharova, Susanna Marrin, Andrea Freitag, Andreas Jordana, Manel Waserman, Susan |
author_facet | Simms, Elizabeth Foster, Gary Arias, Katherine Larché, Mark Freitag, Tosha Walker, Tina Goncharova, Susanna Marrin, Andrea Freitag, Andreas Jordana, Manel Waserman, Susan |
author_sort | Simms, Elizabeth |
collection | PubMed |
description | BACKGROUND: Peanut sensitization does not necessarily indicate clinical peanut allergy, and uncertainty as to whether or not there is true peanut allergy can lead to increased anxiety and decreased quality of life for patients and their families. The gold standard for diagnosing clinical peanut allergy is the oral food challenge, but this method is time-consuming and can cause severe allergic reactions. It would therefore be beneficial to develop a tool for predicting clinical peanut allergy in peanut-sensitized individuals whose peanut allergy status is unknown so as to better determine who requires an oral food challenge for diagnosis. METHODS: Two separate studies were conducted. In Study 1, we recruited 100 participants from the allergy clinic at McMaster University and community allergy outpatient clinics in the greater Hamilton area. We examined 18 different variables from participants and used univariate and multivariable logistic regression analysis to determine how well these variables, singly and in combination, were able to predict clinical peanut allergy status. In Study 2, we conducted a retrospective chart review of a second cohort of 194 participants to investigate the reproducibility of our findings. This was a matched case–control study where 97 peanut-allergic participants were gender- and age-matched to 97 non-allergic control participants. RESULTS: Peanut skin prick test wheal size was the best predictor of clinical peanut allergy in both study cohorts. For every 1 mm increase in wheal size, the odds ratio of an individual having clinical peanut allergy was 2.36 in our first cohort and 4.85 in our second cohort. No other variable approached the predictive power of wheal size. CONCLUSIONS: Peanut skin prick test wheal size is a robust predictor of clinical peanut reactivity. The findings of this study may be useful in guiding clinician decision-making regarding peanut allergy diagnostics. |
format | Online Article Text |
id | pubmed-5299665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52996652017-02-13 Prediction of clinical peanut allergy status among children in Hamilton, Ontario using chart review data collected during 2012–2015 Simms, Elizabeth Foster, Gary Arias, Katherine Larché, Mark Freitag, Tosha Walker, Tina Goncharova, Susanna Marrin, Andrea Freitag, Andreas Jordana, Manel Waserman, Susan Allergy Asthma Clin Immunol Research BACKGROUND: Peanut sensitization does not necessarily indicate clinical peanut allergy, and uncertainty as to whether or not there is true peanut allergy can lead to increased anxiety and decreased quality of life for patients and their families. The gold standard for diagnosing clinical peanut allergy is the oral food challenge, but this method is time-consuming and can cause severe allergic reactions. It would therefore be beneficial to develop a tool for predicting clinical peanut allergy in peanut-sensitized individuals whose peanut allergy status is unknown so as to better determine who requires an oral food challenge for diagnosis. METHODS: Two separate studies were conducted. In Study 1, we recruited 100 participants from the allergy clinic at McMaster University and community allergy outpatient clinics in the greater Hamilton area. We examined 18 different variables from participants and used univariate and multivariable logistic regression analysis to determine how well these variables, singly and in combination, were able to predict clinical peanut allergy status. In Study 2, we conducted a retrospective chart review of a second cohort of 194 participants to investigate the reproducibility of our findings. This was a matched case–control study where 97 peanut-allergic participants were gender- and age-matched to 97 non-allergic control participants. RESULTS: Peanut skin prick test wheal size was the best predictor of clinical peanut allergy in both study cohorts. For every 1 mm increase in wheal size, the odds ratio of an individual having clinical peanut allergy was 2.36 in our first cohort and 4.85 in our second cohort. No other variable approached the predictive power of wheal size. CONCLUSIONS: Peanut skin prick test wheal size is a robust predictor of clinical peanut reactivity. The findings of this study may be useful in guiding clinician decision-making regarding peanut allergy diagnostics. BioMed Central 2017-02-08 /pmc/articles/PMC5299665/ /pubmed/28194191 http://dx.doi.org/10.1186/s13223-017-0179-8 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Simms, Elizabeth Foster, Gary Arias, Katherine Larché, Mark Freitag, Tosha Walker, Tina Goncharova, Susanna Marrin, Andrea Freitag, Andreas Jordana, Manel Waserman, Susan Prediction of clinical peanut allergy status among children in Hamilton, Ontario using chart review data collected during 2012–2015 |
title | Prediction of clinical peanut allergy status among children in Hamilton, Ontario using chart review data collected during 2012–2015 |
title_full | Prediction of clinical peanut allergy status among children in Hamilton, Ontario using chart review data collected during 2012–2015 |
title_fullStr | Prediction of clinical peanut allergy status among children in Hamilton, Ontario using chart review data collected during 2012–2015 |
title_full_unstemmed | Prediction of clinical peanut allergy status among children in Hamilton, Ontario using chart review data collected during 2012–2015 |
title_short | Prediction of clinical peanut allergy status among children in Hamilton, Ontario using chart review data collected during 2012–2015 |
title_sort | prediction of clinical peanut allergy status among children in hamilton, ontario using chart review data collected during 2012–2015 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299665/ https://www.ncbi.nlm.nih.gov/pubmed/28194191 http://dx.doi.org/10.1186/s13223-017-0179-8 |
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