MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis

Jean Bousquet*, Holger J. Schünemann, Peter W. Hellings, Sylvie Arnavielhe, Claus Bachert, Anna Bedbrook, Karl Christian Bergmann, Sinthia Bosnic-Anticevich, Jan Brozek, Moises Calderon, G. Walter Canonica, Thomas B. Casale, Niels H. Chavannes, Linda Cox, Henry Chrystyn, Alvaro A. Cruz, Ronald Dahl, Giuseppe De Carlo, Pascal Demoly, Phillipe DevillierGérard Dray, Monica Fletcher, Wytske J. Fokkens, Joao Fonseca, Sandra N. Gonzalez-Diaz, Lawrence Grouse, Thomas Keil, Piotr Kuna, Désirée Larenas-Linnemann, Karin C. Lodrup Carlsen, Eli O. Meltzer, Jaoquim Mullol, Antonella Muraro, Robert N. Naclerio, Susanna Palkonen, Nikolaos G. Papadopoulos, Giovanni Passalacqua, David Price, Dermot Ryan, Boleslaw Samolinski, Glenis K. Scadding, Aziz Sheikh, François Spertini, Arunas Valiulis, Erkka Valovirta, Samantha Walker, Magnus Wickman, Arzu Yorgancioglu, Tari Haahtela, Torsten Zuberbier, MASK study group

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

129 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)367-374.e2
Number of pages10
JournalJournal of Allergy and Clinical Immunology
Issue number2
Publication statusPublished - 1 Aug 2016
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • Allergic rhinitis
  • Allergic Rhinitis and its Impact on Asthma
  • clinical decision support system
  • conjunctivitis
  • information and communication technology


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