Literature DB >> 31627910

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.

Jean Bousquet1, Holger J Schünemann2, Akdis Togias3, Claus Bachert4, Martina Erhola5, Peter W Hellings6, Ludger Klimek7, Oliver Pfaar8, Dana Wallace9, Ignacio Ansotegui10, Ioana Agache11, Anna Bedbrook12, Karl-Christian Bergmann13, Mike Bewick14, Philippe Bonniaud15, Sinthia Bosnic-Anticevich16, Isabelle Bossé17, Jacques Bouchard18, Louis-Philippe Boulet19, Jan Brozek2, Guy Brusselle20, Moises A Calderon21, Walter G Canonica22, Luis Caraballo23, Vicky Cardona24, Thomas Casale25, Lorenzo Cecchi26, Derek K Chu2, Elisio M Costa27, Alvaro A Cruz28, Wienczyslawa Czarlewski29, Gennaro D'Amato30, Philippe Devillier31, Mark Dykewicz32, Motohiro Ebisawa33, Jean-Louis Fauquert34, Wytske J Fokkens35, Joao A Fonseca36, Jean-François Fontaine37, Bilun Gemicioglu38, Roy Gerth van Wijk39, Tari Haahtela40, Susanne Halken41, Despo Ierodiakonou42, Tomohisa Iinuma43, Juan-Carlos Ivancevich44, Marek Jutel45, Igor Kaidashev46, Musa Khaitov47, Omer Kalayci48, Jorg Kleine Tebbe49, Marek L Kowalski50, Piotr Kuna51, Violeta Kvedariene52, Stefania La Grutta53, Désirée Larenas-Linnemann54, Susanne Lau55, Daniel Laune56, Lan Le57, Philipp Lieberman58, Karin C Lodrup Carlsen59, Olga Lourenço60, Gert Marien61, Pedro Carreiro-Martins62, Erik Melén63, Enrica Menditto64, Hugo Neffen65, Gregoire Mercier66, Ralph Mosgues67, Joaquim Mullol68, Antonella Muraro69, Leyla Namazova70, Ettore Novellino71, Robyn O'Hehir72, Yoshitaka Okamoto43, Ken Ohta73, Hae Sim Park74, Petr Panzner75, Giovanni Passalacqua76, Nhan Pham-Thi77, David Price78, Graham Roberts79, Nicolas Roche80, Christine Rolland81, Nelson Rosario82, Dermot Ryan83, Boleslaw Samolinski84, Mario Sanchez-Borges85, Glenis K Scadding86, Mohamed H Shamji87, Aziz Sheikh88, Ana-Maria Todo Bom89, Sanna Toppila-Salmi90, Ioana Tsiligianni42, Marylin Valentin-Rostan91, Arunas Valiulis92, Erkka Valovirta93, Maria-Teresa Ventura94, Samantha Walker95, Susan Waserman96, Arzu Yorgancioglu97, Torsten Zuberbier13.   

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.
Copyright © 2019 American Academy of Allergy, Asthma & Immunology. All rights reserved.

Entities:  

Keywords:  Allergic Rhinitis and Its Impact on Asthma; Allergic rhinitis; Development and Evaluation; Grading of Recommendations Assessment; guidelines; real-world evidence

Mesh:

Year:  2019        PMID: 31627910     DOI: 10.1016/j.jaci.2019.06.049

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


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