| Literature DB >> 27260321 |
Jean Bousquet1, Holger J Schünemann2, Peter W Hellings3, Sylvie Arnavielhe4, Claus Bachert5, Anna Bedbrook6, Karl-Christian Bergmann7, Sinthia Bosnic-Anticevich8, Jan Brozek2, Moises Calderon9, G Walter Canonica10, Thomas B Casale11, Niels H Chavannes12, Linda Cox13, Henry Chrystyn14, Alvaro A Cruz15, Ronald Dahl16, Giuseppe De Carlo17, Pascal Demoly18, Phillipe Devillier19, Gérard Dray20, Monica Fletcher21, Wytske J Fokkens22, Joao Fonseca23, Sandra N Gonzalez-Diaz24, Lawrence Grouse25, Thomas Keil26, Piotr Kuna27, Désirée Larenas-Linnemann28, Karin C Lodrup Carlsen29, Eli O Meltzer30, Jaoquim Mullol31, Antonella Muraro32, Robert N Naclerio33, Susanna Palkonen17, Nikolaos G Papadopoulos34, Giovanni Passalacqua10, David Price35, Dermot Ryan36, Boleslaw Samolinski37, Glenis K Scadding38, Aziz Sheikh39, François Spertini40, Arunas Valiulis41, Erkka Valovirta42, Samantha Walker43, Magnus Wickman44, Arzu Yorgancioglu45, Tari Haahtela46, Torsten Zuberbier7.
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.Entities:
Keywords: Allergic Rhinitis and its Impact on Asthma; Allergic rhinitis; MACVIA-LR; clinical decision support system; conjunctivitis; information and communication technology
Mesh:
Year: 2016 PMID: 27260321 DOI: 10.1016/j.jaci.2016.03.025
Source DB: PubMed Journal: J Allergy Clin Immunol ISSN: 0091-6749 Impact factor: 10.793