Methodology for the Development of the Allergic Rhinitis and Its Impact on Asthma ( <scp>ARIA</scp> )‐EAACI 2024–2025 Guidelines: From Evidence‐to‐Decision Frameworks to Digitalised Shared Decision‐Making Algorithms
Jean Bousquet, Bernardo Sousa‐Pinto, Rafael José Vieira, Holger J. Schünemann, Torsten Zuberbier, Antonio Bognanni, Alkis Togias, Bolesław Samoliński, Arūnas Valiulis, Sian Williams, Anna Bedbrook, Wienczyslawa Czarlewski, Marı́a José Torres, Mohamed H. Shamji, Mário Morais‐Almeida, Giorgio Walter Canonica, Leticia de las Vecillas, Mark S. Dykewicz, Cristina Jacomelli, Ludger Klimek, Lucas Leemann, Olga Lourenço, Yuliia Palamarchuk, Nikolaos G. Papadopoulos, Ana Margarida Pereira, Marine Savouré, Sanna Toppila‐Salmi, Maria Teresa Ventura, Juan José Yepes-Núñez, Álvaro A. Cruz, Giorgio Ciprandi, Bilun Gemicioğlu, Mattia Giovannini, Brigita Gradauskienė, Tuomas Jartti, Miloš Jeseňák, Piotr Kuna, Violeta Kvedarienė, D Larenas-Linnemann, Amir Hamzah Abdul Latiff, Yousser Mohammad, Ken Ohta, P A Mahesh, Isabella Pali‐Schöll, Oliver Pfaar, Frederico S. Regateiro, Nicolás Roche, Mikhail Sofiev, Luís Taborda‐Barata, Charlotte Suppli Ulrik, Marylin Valentin Rostan, Giovanni Viegi, Luo Zhang, Josep M. Antó, Tari Haahtela, Iván Chérrez-Ojeda, Juan Carlos Ivancevich, Nikolaï Khaltaev, Arzu Yorgancıoğlu, Baharudin Abdullah, Mona Al‐Ahmad, Maryam Al‐Nesf, Rita Amaral, Julijana Asllani, Karl-C Bergmann, Jonathan A. Bernstein, Michael S. Blaiss, Fulvio Braido, Paulo Augusto Moreira Camargos, Pedro Martins, Thomas B. Casale, Lorenzo Cecchi, Alessandro Fiocchi, Antonio Francesco Maria Giuliano, George Christoff, Ieva Cirule, Jaime Correia de Sousa, Elı́sio Costa, Stefano R. Del Giacco, Philippe Devillier, Dejan Dokic, Elham Hossny, Tomohisa Iinuma, Carla Irani, Zhanat Ispayeva, Kaja Julge, Ігор Петрович Кайдашев, Kazi Saifuddin Bennoor, Helga Kraxner, Inger Kull, Marek Kulus, Maciej Kupczyk, А.И. Курченко, Stefania La Grutta, Neven Miculinić, Lan Le Thi Tuyet, Μichael Μakris, Branislava Milenković, Sang Min Lee, Stephen Montefort
Abstract
The Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines produced their first edition in 1999, with subsequent revisions in 2008, 2010, 2016 and 2019. A new iteration of ARIA-ARIA 2024-2025-in collaboration with EAACI is currently being developed, focusing on the management of allergic rhinitis. ARIA 2024-2025 follows the GRADE framework and is endorsed by the European Academy of Allergy and Clinical Immunology (EAACI). A set of approaches has been used to develop guideline questions, including surveying key opinion leaders and using artificial intelligence (AI)-based tools to analyse web searches on allergic rhinitis and to generate questions. Each prioritised guideline question is assessed through an Evidence-to-Decision (EtD) framework. EtDs support the systematic and transparent formulation of recommendations, comprising 12 criteria for which the best available evidence should be sought. In the context of ARIA-EAACI 2024-2025, such evidence is derived not only from randomised controlled trials but also-among others-from patient-generated data sources that better reflect the affected individuals' perspectives. Moreover, ARIA-EAACI 2024-2025 incorporates evidence on planetary health. Developed guideline recommendations will support the creation of digitalised decision algorithms and care pathways. This paper describes the methodology used to develop the person-centred, digitally enabled and AI-assisted ARIA-EAACI 2024-2025. Among others, it describes (i) the development and prioritisation of guideline questions, (ii) sources of evidence for EtDs and (iii) the development of digitalised decision algorithms and care pathways.