医学
阿达木单抗
葡萄膜炎
甲氨蝶呤
联合疗法
皮肤病科
眼科
内科学
疾病
作者
Carla Gaggiano,Alejandra de‐la‐Torre,Silvana Guerriero,Stefania Costi,Gaafar Ragab,Maria Pia Paroli,Emanuela Del Giudice,Luciana Breda,Saverio La Bella,Marco Cattalini,Maria Cristina Maggio,Alex Fonollosa,Ester Carreño,Maria Tarsia,Rosanna Dammacco,Soad Hashad,Antonio Vitale,Lampros Fotis,Stefano Gentileschi,Francesca Minoia
摘要
The study objective was to compare the effectiveness of adalimumab (ADA) in monotherapy and in combination with methotrexate (MTX) for paediatric noninfectious uveitis (NIU). Registry-based observational study. Children receiving ADA for active uveitis were divided into the ADA monotherapy group (group 1) and the ADA plus MTX combination group (group 2). Eighty four children were enrolled (146 eyes): 22 in group 1 (26.2%) and 62 in group 2 (73.8%). ADA effectiveness was complete in 48 children (57.1%), partial in 23 (27.4%) and absent in 4 (5.3%), without any differences across the groups (p = 0.89). Fewer relapses per 100 PY occurred after ADA treatment both in group 1 (280.0 vs. 23.0, p = 0.005) and in group 2 (297.9 vs. 86.0, p < 0.001). The final BCVA was similar between groups 1 and 2 [median 1.0 (IQR 0.3) and 1.0 (IQR 0.3), respectively, p = 0.55]. A statistically significant steroid-sparing effect was observed in the entire cohort and in group 2 at the 6-month (p = 0.01 and p = 0.01), 12-month (p = 0.02 and p = 0.02), and last follow-up (p = 0.045 and p = 0.045). The estimated ADA retention rate was 97.1% at 12 months, 87.7% at 24 months, and 82.6% at 36 months, without a statistically significant difference among the groups (p = 0.77). ADA monotherapy could be equally effective as its combination with MTX in both preventing uveitis relapses and preserving visual acuity in paediatric NIU, with comparable retention rates over 36 months of treatment. The steroid-sparing effect of ADA monotherapy warrants further extensive evaluation to define its optimal placement in the therapeutic strategy for paediatric NIU.
科研通智能强力驱动
Strongly Powered by AbleSci AI