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MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis.

Authors :
Bousquet, Jean
Schünemann, Holger J.
Hellings, Peter W.
Arnavielhe, Sylvie
Bachert, Claus
Bedbrook, Anna
Bergmann, Karl-Christian
Bosnic-Anticevich, Sinthia
Brozek, Jan
Calderon, Moises
Canonica, G. Walter
Casale, Thomas B.
Chavannes, Niels H.
Cox, Linda
Chrystyn, Henry
Cruz, Alvaro A.
Dahl, Ronald
De Carlo, Giuseppe
Demoly, Pascal
Devillier, Phillipe
Source :
Journal of Allergy & Clinical Immunology; Aug2016, Vol. 138 Issue 2, p367-374.e2, 1p
Publication Year :
2016

Abstract

The selection of pharmacotherapy for patients with allergic rhinitis (AR) depends on several factors, including age, prominent symptoms, symptom severity, control of AR, patient preferences, and cost. Allergen exposure and the resulting symptoms vary, and treatment adjustment is required. Clinical decision support systems (CDSSs) might be beneficial for the assessment of disease control. CDSSs should be based on the best evidence and algorithms to aid patients and health care professionals to jointly determine treatment and its step-up or step-down strategy depending on AR control. Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR [fighting chronic diseases for active and healthy ageing]), one of the reference sites of the European Innovation Partnership on Active and Healthy Ageing, has initiated an allergy sentinel network (the MACVIA-ARIA Sentinel Network). A CDSS is currently being developed to optimize AR control. An algorithm developed by consensus is presented in this article. This algorithm should be confirmed by appropriate trials. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00916749
Volume :
138
Issue :
2
Database :
Supplemental Index
Journal :
Journal of Allergy & Clinical Immunology
Publication Type :
Academic Journal
Accession number :
117038166
Full Text :
https://doi.org/10.1016/j.jaci.2016.03.025