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DOI 10.1016/j.jaci.2016.03.025

Медицинская библиотека · The Journal of allergy and clinical immunology · 2016

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

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, Dray Gérard, Fletcher Monica, Fokkens Wytske J, Fonseca Joao, Gonzalez-Diaz Sandra N, Grouse Lawrence, Keil Thomas, Kuna Piotr, Larenas-Linnemann Désirée, Lodrup Carlsen Karin C, Meltzer Eli O, Mullol Jaoquim, Muraro Antonella, Naclerio Robert N, Palkonen Susanna, Papadopoulos Nikolaos G, Passalacqua Giovanni, Price David, Ryan Dermot, Samolinski Boleslaw, Scadding Glenis K, Sheikh Aziz, Spertini François, Valiulis Arunas, Valovirta Erkka, Walker Samantha, Wickman Magnus, Yorgancioglu Arzu, Haahtela Tari, Zuberbier Torsten, MASK study group*

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Аннотация

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.

Для цитирования: 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, Dray Gérard, Fletcher Monica, Fokkens Wytske J, Fonseca Joao, Gonzalez-Diaz Sandra N, Grouse Lawrence, Keil Thomas, Kuna Piotr, Larenas-Linnemann Désirée, Lodrup Carlsen Karin C, Meltzer Eli O, Mullol Jaoquim, Muraro Antonella, Naclerio Robert N, Palkonen Susanna, Papadopoulos Nikolaos G, Passalacqua Giovanni, Price David, Ryan Dermot, Samolinski Boleslaw, Scadding Glenis K, Sheikh Aziz, Spertini François, Valiulis Arunas, Valovirta Erkka, Walker Samantha, Wickman Magnus, Yorgancioglu Arzu, Haahtela Tari, Zuberbier Torsten, MASK study group*. MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis.. The Journal of allergy and clinical immunology. 2016. DOI: 10.1016/j.jaci.2016.03.025.

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