2026-04-13T03:10:09Zhttps://recercat.cat/oai/request
oai:recercat.cat:10230/283562025-12-24T08:57:54Zcom_2072_6col_2072_452952
RECERCAT author Bousquet, Jean author MASK study group author Antó i Boqué, Josep Maria author Sunyer Deu, Jordi 2017-03-31T10:44:55Z2017-03-31T10:44:55Z2016 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. © 2016 The Authors. Published by Elsevier Inc. on behalf of the American Academy of Allergy, Asthma & Immunology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). https://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Allergic rhinitis Conjuctivitis Allergic Rhinitis and its Impact on Asthma MACVIA-LR Information and communication technology Clinical decision support system MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion