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Revision to the musculoskeletal domain of the BILAG-2004 index to incorporate ultrasound findings

医学 滑膜炎 关节炎 炎性关节炎 腱鞘炎 内科学 物理疗法 类风湿性关节炎 炎症 外科
作者
Robert D Sandler,Edward M Vital,Khaled Mahmoud,Athiveeraramapandian Prabu,Claire Riddell,Lee‐Suan Teh,Christopher J Edwards,Chee‐Seng Yee
出处
期刊:Rheumatology [Oxford University Press]
卷期号:63 (2): 498-505 被引量:6
标识
DOI:10.1093/rheumatology/kead241
摘要

Abstract Objectives To improve the definitions of inflammatory arthritis within the musculoskeletal (MSK) domain of the BILAG-2004 index by incorporating imaging findings and clinical features predictive of response to treatment. Methods The BILAG MSK Subcommittee proposed revisions to the BILAG-2004 index definitions of inflammatory arthritis, based on review of evidence in two recent studies. Data from these studies were pooled and analysed to determine the impact of the proposed changes on the severity grading of inflammatory arthritis. Results The revised definition for severe inflammatory arthritis includes definition of ‘basic activities of daily living’. For moderate inflammatory arthritis, it now includes synovitis, defined by either observed joint swelling or MSK US evidence of inflammation in joints and surrounding structures. For mild inflammatory arthritis, the definition now includes reference to symmetrical distribution of affected joints and guidance on how US may help re-classify patients as moderate or no inflammatory arthritis. Data from two recent SLE trials were analysed (219 patients). A total of 119 (54.3%) were graded as having mild inflammatory arthritis (BILAG-2004 Grade C). Of these, 53 (44.5%) had evidence of joint inflammation (synovitis or tenosynovitis) on US. Applying the new definition increased the number of patients classified as moderate inflammatory arthritis from 72 (32.9%) to 125 (57.1%), while patients with normal US (n = 66/119) could be recategorized as BILAG-2004 Grade D (inactive disease). Conclusions Proposed changes to the definitions of inflammatory arthritis in the BILAG-2004 index will result in more accurate classification of patients who are more or less likely to respond to treatment.

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