[High anti-topoisomerase-1 autoantibodies levels are associated with the extension of skin fibrosis and vascular progression in patients with systemic sclerosis].

C Dol, B Granel, N Resseguier, G Kaplanski, M Reynaud-Gaubert, N Schleinitz, J-J Grob, E Delaporte, P Lafforgue, P Rossi, N Bardin,A Benyamine

La Revue de medecine interne(2024)

引用 0|浏览1
暂无评分
摘要
BACKGROUND:Anti-centromere antibodies, anti-topoisomerase-1 antibodies (ATA), and anti-RNA-polymerase III antibodies are three Systemic Sclerosis (SSc)-specific autoantibodies. Their detection is helpful in determining the prognosis. We aimed to evaluate whether ATA levels were associated with disease severity at diagnosis or disease progression during follow-up in ATA positive patients. METHODS:We conducted a single-centre French retrospective observational study, between 2014 and 2021. ATA positive patients fulfilling the ACR/EULAR 2013 classification criteria for SSc with a minimal follow-up of 1 year and 2 ATA dosages were included. SSc patients with high IgG ATA levels at baseline (>240IU/mL) were compared with SSc patients with low levels (≤240IU/mL), at inclusion and at 1 and 3 years. A variation of at least 30 % of ATA levels was considered significant. RESULTS:Fifty-nine SSc patients were included and analysed. There was a predominance of women and of patients with diffuse interstitial lung disease. Patients with high ATA levels exhibited a higher skin sclerosis assessed by the modified Rodnan skin score (P=0.0480). They had a lower carbon monoxide transfer coefficient (P=0.0457), a lower forced vital capacity (FVC) (P=0.0427) and more frequently had a FVC under 80 %, when compared to patients with low ATA levels (P=0.0423). Initial high ATA levels were associated with vascular progression at one year (21.95 % vs. 0 %; P=0.0495). CONCLUSION:ATA levels are associated with skin sclerosis and vascular progression in SSc. Beyond the detection of ATA, quantifying this autoantibody might be of interest in predicting disease severity and prognosis in SSc.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要