Use of the Auto-inflammatory Disease Activity Index to monitor disease activity in patients with colchicine-resistant Familial Mediterranean Fever, Mevalonate Kinase Deficiency, and TRAPS treated with canakinumab

被引:4
作者
Kone-Paut, Isabelle [1 ]
Piram, Maryam [2 ,3 ]
Benseler, Susanne [4 ]
Kuemmerle-Deschner, Jasmin B. [5 ]
Jansson, Annette [6 ]
Rosner, Itzhak [7 ]
Tommasini, Alberto [8 ,9 ]
Murias, Sara [10 ]
Karadag, Omer [11 ]
Levy, Jeremy [12 ]
McCreddin, Suzanne [13 ]
Migliaccio, Marco [14 ]
De Benedetti, Fabrizio [15 ]
机构
[1] Univ Paris Sud Saclay, Paediat Rheumatol, CHU Bicetre, AP HP, Le Kremlin Bicetre, France
[2] Univ Paris Sud Saclay, CEREMAIA, Le Kremlin Bicetre, France
[3] Univ Montreal, St Justine Univ Hosp, CHU St Justine Res Ctr, Dept Pediat, Montreal, PQ, Canada
[4] Alberta Childrens Prov Gen Hosp, Calgary, AB, Canada
[5] Univ Hosp Tubingen, Tubingen, Germany
[6] Ludwig Maximilians Univ Munchen, Munich, Germany
[7] Bnai Zion Med Ctr, Rheumatol, Haifa, Israel
[8] IRCCS Burlo Garfolo, Inst Maternal & Child Hlth, Trieste, Italy
[9] Univ Trieste, Dept Med Sci, Trieste, Italy
[10] Hosp La Paz, Madrid, Spain
[11] Hacettepe Univ, Fac Med, Ankara, Turkey
[12] BIOP, Reinach, Switzerland
[13] Novartis Ireland Ltd, Dublin, Ireland
[14] Novartis Pharmaceut, Basel, Switzerland
[15] Italy Hosp, IRCCS Osped Bambino Gesu, Rome, Italy
关键词
AIDAI; Canakinumab; IL-1; Recurrent fever syndromes;
D O I
10.1016/j.jbspin.2022.105448
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives: To evaluate the feasibility of the autoinflammatory disease activity index (AIDAI) as a tool to assess disease activity in patients with hereditary recurrent fever syndromes (HRFs) treated with canakinumab.Methods: Patients with active colchicine-resistant familial Mediterranean fever (crFMF), mevalonate kinase deficiency (MKD), or tumor necrosis factor receptor-associated periodic syndrome (TRAPS) were enrolled in the phase III CLUSTER study and asked to complete the AIDAI questionnaire daily. All patients included in the analysis were treated with canakinumab, but regimens and periods of treatment varied per study protocol. The AIDAI for each patient was calculated weekly over the first 40 weeks of study, based on the diaries completed over 30 days. Disease-specific cut-off AIDAI values for inactive disease were calculated in a ROC analysis by comparing AIDAI scores with the occurrence of clinically inactive disease, based on the physician global assessments of disease activity and the occurrence of flares.Results: Sixty patients with crFMF, 70 with MKD, and 43 with TRAPS were included in the analysis. Median AIDAI scores were high during the first 4 weeks for the three disease cohorts, and decreased afterwards, with some differences between disease cohorts. AIDAI values of 12.0, 9.6 and 15.5 were obtained as the most optimal thresholds to discriminate patients with inactive disease, with sensitivity and specificity values mostly over 75%.Conclusions: The AIDAI allows to discriminate between patients with active and inactive HRFs, and can be used in clinical practice to monitor the disease course of patients and the effect of medications. Published by Elsevier Masson SAS on behalf of Socie acute accent te acute accent franc , aise de rhumatologie. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页数:8
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