Literature DB >> 28238748

Can we predict fall asthma exacerbations? Validation of the seasonal asthma exacerbation index.

Heather E Hoch1, Agustin Calatroni2, Joseph B West3, Andrew H Liu4, Peter J Gergen5, Rebecca S Gruchalla6, Gurjit K Khurana Hershey7, Carolyn M Kercsmar7, Haejin Kim8, Carin I Lamm9, Melanie M Makhija10, Herman E Mitchell2, Stephen J Teach11, Jeremy J Wildfire2, William W Busse12, Stanley J Szefler4.   

Abstract

BACKGROUND: A Seasonal Asthma Exacerbation Predictive Index (saEPI) was previously reported based on 2 prior National Institute of Allergy and Infectious Diseases Inner City Asthma Consortium trials.
OBJECTIVE: This study sought to validate the saEPI in a separate trial designed to prevent fall exacerbations with omalizumab therapy.
METHODS: The saEPI and its components were analyzed to characterize those who had an asthma exacerbation during the Preventative Omalizumab or Step-Up Therapy for Fall Exacerbations (PROSE) study. We characterized those inner-city children with and without asthma exacerbations in the fall period treated with guidelines-based therapy (GBT) in the absence and presence of omalizumab.
RESULTS: A higher saEPI was associated with an exacerbation in both the GBT alone (P < .001; area under the curve, 0.76) and the GBT + omalizumab group (P < .01; area under the curve, 0.65). In the GBT group, younger age at recruitment, higher total IgE, higher blood eosinophil percentage and number, and higher treatment step were associated with those who had an exacerbation compared with those who did not. In the GBT + omalizumab group, younger age at recruitment, increased eosinophil number, recent exacerbation, and higher treatment step were also associated with those who had an exacerbation. The saEPI was associated with a high negative predictive value in both groups.
CONCLUSIONS: An exacerbation in children treated with GBT with or without omalizumab was associated with a higher saEPI along with higher markers of allergic inflammation, treatment step, and a recent exacerbation. Those that exacerbated on omalizumab had similar features with the exception of some markers of allergic sensitization, indicating a need to develop better markers to predict poor response to omalizumab therapy and alternative treatment strategies for children with these risk factors. The saEPI was able to reliably predict those children unlikely to have an asthma exacerbation in both groups.
Copyright © 2017 American Academy of Allergy, Asthma & Immunology. All rights reserved.

Entities:  

Keywords:  Fall asthma exacerbation; Seasonal Asthma Exacerbation Predictive Index (saEPI); asthma exacerbation predictors; guidelines-based therapy; omalizumab

Mesh:

Substances:

Year:  2017        PMID: 28238748      PMCID: PMC5568982          DOI: 10.1016/j.jaci.2017.01.026

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  31 in total

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2.  A simple asthma prediction tool for preschool children with wheeze or cough.

Authors:  Anina M Pescatore; Cristian M Dogaru; Lutz Duembgen; Michael Silverman; Erol A Gaillard; Ben D Spycher; Claudia E Kuehni
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3.  Allergy, total serum immunoglobulin E, and airflow in children and adolescents in TENOR.

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4.  Using billing data to describe patterns in asthma-related emergency department visits in children.

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5.  Phenotypes determined by cluster analysis in severe or difficult-to-treat asthma.

Authors:  Michael Schatz; Jin-Wen Y Hsu; Robert S Zeiger; Wansu Chen; Alejandro Dorenbaum; Bradley E Chipps; Tmirah Haselkorn
Journal:  J Allergy Clin Immunol       Date:  2013-12-04       Impact factor: 10.793

6.  Effect of asthma exacerbations on health care costs among asthmatic patients with moderate and severe persistent asthma.

Authors:  Jasmina I Ivanova; Rachel Bergman; Howard G Birnbaum; Gene L Colice; Robert A Silverman; Kimmie McLaurin
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7.  Demographic and clinical characteristics of children and adolescents with severe or difficult-to-treat asthma.

Authors:  Bradley E Chipps; Stanley J Szefler; F Estelle R Simons; Tmirah Haselkorn; David R Mink; Yamo Deniz; June H Lee
Journal:  J Allergy Clin Immunol       Date:  2007-03-30       Impact factor: 10.793

8.  Recent asthma exacerbations predict future exacerbations in children with severe or difficult-to-treat asthma.

Authors:  Tmirah Haselkorn; Robert S Zeiger; Bradley E Chipps; David R Mink; Stanley J Szefler; F Estelle R Simons; Marc Massanari; James E Fish
Journal:  J Allergy Clin Immunol       Date:  2009-11       Impact factor: 10.793

9.  Factors associated with asthma exacerbations during a long-term clinical trial of controller medications in children.

Authors:  Ronina A Covar; Stanley J Szefler; Robert S Zeiger; Christine A Sorkness; Mark Moss; David T Mauger; Susan J Boehmer; Robert C Strunk; Fernando D Martinez; Lynn M Taussig
Journal:  J Allergy Clin Immunol       Date:  2008-10       Impact factor: 10.793

10.  Evaluation of the modified asthma predictive index in high-risk preschool children.

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Journal:  J Allergy Clin Immunol       Date:  2019-01-17       Impact factor: 10.793

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7.  A worldwide charter for all children with asthma.

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8.  Building Bridges for Asthma Care Program: A School-Centered Program Connecting Schools, Families, and Community Health-Care Providers.

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  8 in total

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