Abstract Background There are limited study on patient-reported outcomes (PROs) in different types of interstitial lung disease (ILD) patients. The study aimed to assess PROs across different types of ILD patients and investigate the influencing factors for PROs. Methods This cross-sectional study evaluated characteristics and PRO of ILD patients from Shanghai Chest Hospital between October 2019 and October 2024. ILD type were categorized idiopathic pulmonary fibrosis (IPF), connective tissue disease-associated ILD (CTD-ILD), idiopathic non-specific interstitial pneumonia (iNSIP), exposure-related ILD, smoking-related ILD, and other ILDs. Disease severity was assessed using the ILD-GAP staging. PROs were measured by the King’s Brief Interstitial Lung Disease questionnaire (KBILD) as quality of life (QOL), the Leicester Cough Questionnaire (LCQ), the cough visual analog scale (VAS), the modified Medical Research Council (mMRC) dyspnea scale, and the performance status (PS) scale. Analysis of covariance (ANCOVA) was used to compare PROs across ILD types. Results The analysis included 573 patients. CTD-ILD was the most prevalent subtype (41.9%), followed by IPF (20.1%), iNSIP(13.4%), smoking-related ILD(9.4%) , exposure-related ILD(6.5%) and others (8.7%). KBILD total scores varied significantly across ILD types, of which patients with smoking-related ILD reported the highest KBILD total scores. Higher ILD-GAP stage and oxygen use were associated with lower KBILD total and breathlessness domain scores, whereas better FVC %pred and longer 6-minute walk distance (6MWD) were linked to improved KBILD total and breathlessness domain scores. The ILD-GAP stage, 6MWD, and FVC% predicted showed significant associations with LCQ and cough-VAS, whereas a higher ILD-GAP stage and current oxygen use were positively correlated with mMRC scores. PS scores were influenced by 6MWD and the use of home oxygen therapy. Conclusion PROs vary across patients with different ILD types and are driven primarily by disease severity (ILD-GAP staging). This abstract is funded by: Shanghai Municipal Health Commission (No.20244Z0019), National Key Technologies R & D Program Precision Medicine Research (2024ZD0528901), Physician-scientist project of Shanghai Jiao Tong University School of Medicine (No.20240820)
Li et al. (Fri,) studied this question.