Next-generation Allergic Rhinitis and Its Impact on Asthma (ARIA) guidelines for allergic rhinitis based on Grading of Recommendations Assessment, Development and Evaluation (GRADE) and real-world evidence.

Abstract

The selection of pharmacotherapy for patients with allergic rhinitis aims to control the disease and depends on many factors. Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidelines have considerably improved the treatment of allergic rhinitis. However, there is an increasing trend toward use of real-world evidence to inform clinical practice, especially because randomized controlled trials are often limited with regard to the applicability of results. The Contre les Maladies Chroniques pour un Vieillissement Actif (MACVIA) algorithm has proposed an allergic rhinitis treatment by a consensus group. This simple algorithm can be used to step up or step down allergic rhinitis treatment. Next-generation guidelines for the pharmacologic treatment of allergic rhinitis were developed by using existing GRADE-based guidelines for the disease, real-world evidence provided by mobile technology, and additive studies (allergen chamber studies) to refine the MACVIA algorithm.

• Authors: Jean Bousquet, Holger J Schünemann, Akdis Togias, Claus Bachert, Martina Erhola, Peter W Hellings, Ludger Klimek, Oliver Pfaar, Dana Wallace, Ignacio Ansotegui, Ioana Agache, Anna Bedbrook, Karl-Christian Bergmann, Mike Bewick, Philippe Bonniaud, Sinthia Bosnic-Anticevich, Isabelle Bossé, Jacques Bouchard, Louis-Philippe Boulet, Jan Brozek, Guy Brusselle, Moises A Calderon, Walter G Canonica, Luis Caraballo, Vicky Cardona, Thomas Casale, Lorenzo Cecchi, Derek K Chu, Elisio M Costa, Alvaro A Cruz, Wienczyslawa Czarlewski, Gennaro D'Amato, Philippe Devillier, Mark Dykewicz, Motohiro Ebisawa, Jean-Louis Fauquert, Wytske J Fokkens, Joao A Fonseca, Jean-François Fontaine, Bilun Gemicioglu, Roy Gerth van Wijk, Tari Haahtela, Susanne Halken, Despo Ierodiakonou, Tomohisa Iinuma, Juan-Carlos Ivancevich, Marek Jutel, Igor Kaidashev, Musa Khaitov, Omer Kalayci, Jorg Kleine Tebbe, Marek L Kowalski, Piotr Kuna, Violeta Kvedariene, Stefania La Grutta, Désirée Larenas-Linnemann, Susanne Lau, Daniel Laune, Lan Le, Philipp Lieberman, Karin C Lodrup Carlsen, Olga Lourenço, Gert Marien, Pedro Carreiro-Martins, Erik Melén, Enrica Menditto, Hugo Neffen, Gregoire Mercier, Ralph Mosgues, Joaquim Mullol, Antonella Muraro, Leyla Namazova, Ettore Novellino, Robyn O'Hehir, Yoshitaka Okamoto, Ken Ohta, Hae Sim Park, Petr Panzner, Giovanni Passalacqua, Nhan Pham-Thi, David Price, Graham Roberts, Nicolas Roche, Christine Rolland, Nelson Rosario, Dermot Ryan, Boleslaw Samolinski, Mario Sanchez-Borges, Glenis K Scadding, Mohamed H Shamji, Aziz Sheikh, Ana-Maria Todo Bom, Sanna Toppila-Salmi, Ioana Tsiligianni, Marylin Valentin-Rostan, Arunas Valiulis, Erkka Valovirta, Maria-Teresa Ventura, Samantha Walker, Susan Waserman, Arzu Yorgancioglu, Torsten Zuberbier, Allergic Rhinitis and Its Impact on Asthma Working Group
• Journal: The Journal of allergy and clinical immunology (J Allergy Clin Immunol) Vol. 145 Issue 1 Pg. 70-80.e3 (01 2020) ISSN: 1097-6825 [Electronic] United States
• PMID: 31627910 (Publication Type: Journal Article, Review)
• Copyright: Copyright © 2019 American Academy of Allergy, Asthma & Immunology. All rights reserved.

Topics

• Algorithms
• Asthma (diagnosis, immunology, therapy)
• Evidence-Based Practice
• Humans
• Practice Guidelines as Topic
• Rhinitis, Allergic (diagnosis, immunology, therapy)