Longitudinal study of patients with anti-SAE antibody positive dermatomyositis: a multicenter cohort study in China

医学 皮肌炎 队列研究 多中心研究 队列 内科学 中国 随机对照试验 政治学 法学
作者
Yingfang Zhang,Lei Liu,Xinwang Duan,Huifeng Pi,Lili Jiang,Li Jiang,Guochun Wang,Xi Shu
出处
期刊:Rheumatology [Oxford University Press]
标识
DOI:10.1093/rheumatology/keae232
摘要

Abstract Objectives To describe the longitudinal study and long-term prognosis of multicentre large inception cohort of patients with anti-SAE positive DM. Methods We retrospectively recruited patients with anti-SAE+DM in four tertiary referral centers from China between March 2005 and December 2022. Long-term survival analysis was performed in the enrolled patients. The Myositis Damage Index (MDI) and Cutaneous Disease Area and Severity Index (CDASI) were used to evaluate the degree of different organ damage and the extent of skin rashes. Longitudinal computed tomographic (CT) patterns were analyzed. Phenotypes were characterized using unsupervised cluster analysis. Results All-cause death occurred in 10.5% (4/38) of all patients, in which three patients succumbed to malignancies at 13, 18, and 36 months. Most patients had favorable long-term outcomes, 35.3% of them were in drug-free remission. Skin rashes showed significant improvement evaluated by CDASI with time. However, damage to different systems was observed in 70.6% of the surviving patients using the MDI, which mainly consisted in skin damage, accounting for 47.1%. Nine patients with anti-SAE+DM associated interstitial lung disease (ILD) underwent repeat CT showed marked radiological improvement at 6 months or being stable after 12 months. In further, different characteristics and outcomes were also showed in three clusters identified by unsupervised analysis. Conclusions Anti-SAE+DM is characterized with lower mortality rate and the development of malignancies being the primary cause of death. Patients who survived showed notable cutaneous damage, while the ILD tends to stabilize. Clusters identified with unsupervised analysis could assist physicians in identifying higher risk of mortality.
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