Identification and management of interstitial lung disease associated with systemic sclerosis (SSc-ILD), rheumatoid arthritis (RA-ILD), and polymyositis/dermatomyositis (PM/DM-ILD): development of expert consensus-based clinical algorithms

Abstract

Background: Clinical guidance on the identification and management of connective tissue disease-associated interstitial lung disease (CTD-ILD) is needed for optimal clinical practice. We aimed to develop clinical algorithms for identifying and managing three common CTD-ILDs: those associated with systemic sclerosis (SSc-ILD), rheumatoid arthritis (RA-ILD), and polymyositis/dermatomyositis (PM/DM-ILD). Research design and methods: Meetings were held October–November 2023 to create consensus-based algorithms for identifying and managing SSc-ILD, RA-ILD, and PM/DM-ILD in clinical practice, based on expert consensus statements for identification and management of CTD-ILD previously derived from a Delphi process. Results: We developed clinical algorithms for SSc-ILD, RA-ILD, and PM/DM-ILD that highlight both commonalities and differences in the identification and management of these CTD-ILDs. Importantly, ILD should be suspected in patients with SSc, RA, or PM/DM who have respiratory symptoms. Chest high-resolution computed tomography has utility for screening, diagnosis and assessment of severity. Furthermore, regular follow-up and multidisciplinary management are important. Disease-specific considerations include unique risk factors such as anti-topoisomerase I antibodies in SSc-ILD, high-titer cyclic citrullinated peptide antibodies in RA, anti-aminoacyl tRNA synthetase antibodies in PM/DM, and anti-melanoma differentiation-associated gene 5 antibody in DM. Conclusions: These algorithms may help physicians to identify and manage patients with SSc-ILD, RA-ILD, or PM/DM-ILD.