MACVIA Clinical Decision Algorithm in Allergic Rhinitis in adolescents and adults

Jean Bousquet 1, 2, 3, * Holger J. Schünemann 4 Peter W. Hellings 5 Sylvie Arnavielhe 6 Claus Bachert 7 Anna Bedbrook 1 Karl-Christian Bergmann 8 Sinthia Bosnic-Anticevich 9 Jan Brozek 4 Moises Calderon 10 G. Walter Canonica 11 Thomas B. Casale 12 Niels H. Chavannes 13 Linda Cox 14 Henry Chrystyn 15 Alvaro A. Cruz 16 Ronald Dahl 17 Giuseppe de Carlo 18 Pascal Demoly 19, 20 Philippe Devillier 21 Gérard Dray 22 Monica Fletcher 23 Wytske J. Fokkens 24 Joao Fonseca 25 Sandra N. Gonzalez-Diaz 26 Lawrence Grouse 27 Thomas Keil 28 Piotr Kuna 29 Désirée Larenas-Linnemann 30 Karin C. Lodrup Carlsen 31 Eli O. Meltzer 32 Joaquim Mullol 33 Antonella Muraro 34 Robert Naclerio 35 Susanna Palkonen 18 Nikolaos G. Papadopoulos 36 Giovanni Passalacqua 11 David Price 37 Dermot Ryan 38 Boleslaw Samolinski 39 Glenis K. Scadding 40 Aziz Sheikh 41 Arunas Valiulis 42 Erkka Valovirta 43 Samantha Walker 44 Magnus Wickman 45 Arzu Yorgancioglu 46 Torsten Zuberbier 8
* Corresponding author
Abstract : The selection of pharmacotherapy for patients with allergic rhinitis depends on several factors, including age, prominent symptoms, symptom severity, control of allergic rhinitis, patient preferences and cost. Allergen exposure and resulting symptoms vary and treatment adjustment is required. Clinical decision support systems (CDSS) may be beneficial for the assessment of disease control. Clinical decision support systems should be based on the best evidence and algorithms to aid patients and health care professionals to jointly determine the treatment and its step-up or step-down strategy depending on AR control. 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 (MASK: MACVIA-ARIA Sentinel networK). A clinical decision support system is currently being developed to optimize allergic rhinitis control. An algorithm developed by consensus is presented in this paper. This algorithm should be confirmed by appropriate trials.
Document type :
Journal articles
Complete list of metadatas

Cited literature [18 references]  Display  Hide  Download

https://hal.sorbonne-universite.fr/hal-01310973
Contributor : Gilles d'Eggis <>
Submitted on : Tuesday, May 3, 2016 - 2:41:38 PM
Last modification on : Friday, August 23, 2019 - 3:10:07 PM
Long-term archiving on : Tuesday, May 24, 2016 - 6:25:13 PM

File

1-s2.0-S0091674916301488-main....
Publication funded by an institution

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Jean Bousquet, Holger J. Schünemann, Peter W. Hellings, Sylvie Arnavielhe, Claus Bachert, et al.. MACVIA Clinical Decision Algorithm in Allergic Rhinitis in adolescents and adults. Journal of Allergy and Clinical Immunology, Elsevier, 2016, ⟨10.1016/j.jaci.2016.03.025⟩. ⟨hal-01310973⟩

Share

Metrics

Record views

506

Files downloads

572