Screening criteria for interstitial lung disease associated to rheumatoid arthritis: Expert proposal based on Delphi methodology

Autor: Javier Narváez, Myriam Aburto, Daniel Seoane-Mato, Gema Bonilla, Orlando Acosta, Gloria Candelas, Esteban Cano-Jiménez, Iván Castellví, José María González-Ruiz, Héctor Corominas, Belén López-Muñiz, María Martín-López, Alejandro Robles-Pérez, Natalia Mena-Vázquez, José Antonio Rodríguez-Portal, Ana María Ortiz, Cristina Sabater-Abad, Isabel Castrejón, Raquel dos Santos, Sandra Garrote-Corral, Jesús Maese, Lucía Silva-Fernández, Santos Castañeda, Claudia Valenzuela
Rok vydání: 2023
Předmět:
Zdroj: Reumatología Clínica (English Edition). 19:74-81
ISSN: 2173-5743
Popis: To develop a joint proposal for screening criteria of interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA) and vice versa, which serves as a guidelines in patient referral between the Rheumatology and Pneumology departments to early detection of these patients.A systematic literature review was carried out on the risk factors for the development of ILD in RA patients, and for the referral criteria to Rheumatology for suspected early RA. Based on the available evidence, screening criteria were agreed using the Delphi method by a panel of pneumologists and rheumatologists with expertise in these pathologies.Screening criteria for ILD in patients with RA and for the early detection of RA in cases with ILD of unknown etiology have been developed. In both cases, a detection strategy was based on clinical risk factors. Recommendations also included the complementary tests to be carried out in the different clinical scenarios and on the periodicity that screening should be repeated.A selective screening strategy is recommended for the first time in the early diagnosis of patients with ILD-RA. This multidisciplinary proposal aims to solve some common clinical questions and help decision-making, although its usefulness to identify these patients with good sensitivity must be confirmed in a validation study.
Databáze: OpenAIRE