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◆ Arthritis & Rheumatology2025-12-16· Medicine

Interleukin‐18 Levels Are Associated With Disease Course in Patients With Still Disease Treated With Interleukin‐1 Inhibitors

Matteo Trevisan, Manuela Pardeo, Ivan Caiello, Claudia Bracaglia, Antonio De Matteis, Valentina Matteo, Elena Loricchio, Fabrizio De Benedetti, Giusi Prencipe

原始摘要(英文原文)· Original abstract
OBJECTIVE: To evaluate the prognostic utility of circulating interleukin-18 (IL-18) levels in predicting disease activity, macrophage activation syndrome (MAS), and disease course in patients with Still disease (SD) receiving first-line IL-1 inhibitors (IL-1i). METHODS: We retrospectively analyzed 66 biologic-naive patients with SD who received first-line treatment with IL-1i. Plasma IL-18 levels were measured at baseline and at 3, 6, and 12 months after IL-1i initiation. Associations between IL-18 levels and clinical outcomes were assessed using mixed-effects models, receiver operating characteristic (ROC) curve analysis, and multivariate logistic regression. RESULTS: Median baseline IL-18 levels were 61,425 pg/mL (interquartile range 16,194-235,746) and declined significantly after IL-1 blockade (P < 0.0001). Higher IL-18 levels persisted in patients with active disease (P < 0.0001). Baseline IL-18 >45,000 pg/mL predicted active disease at 12 months (area under the curve [AUC] 0.82; P = 0.0002), MAS development within 24 months (AUC 0.78; P = 0.01), and a chronic-persistent course (AUC 0.73; P = 0.007). In multivariate models, elevated baseline IL-18 and delayed IL-1i initiation for more than three months independently predicted adverse outcomes. Strikingly, at three months, IL-18 >15,000 pg/mL was a stronger predictor of chronic-persistent course (AUC 0.92; P < 0.0001), independent of clinical disease activity (odds ratio 25.6; P = 0.01), with the multivariate model explaining 67% of variance (AUC 0.95). CONCLUSION: In biologic-naive patients with SD, IL-18 levels, especially reassessed three months after IL-1i initiation, robustly predict long-term disease activity, MAS risk, and chronic-persistent trajectory. Early measurement and dynamic monitoring of IL-18 may enable risk stratification and guide timely therapeutic escalation or treatment adjustment to improve outcomes.
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