Kunkel Gary A, Cannon Grant W, Clegg Daniel O
George E. Wahlen VA Medical Center, Division of Rheumatology, University of Utah School of Medicine, USA.
Open Rheumatol J. 2012;6:199-206. doi: 10.2174/1874312901206010199. Epub 2012 Aug 9.
Current ultrasonographic scoring systems used to assess the degree of finger joint synovitis in rheumatoid arthritis (RA) are not designed for distinguishing healthy or osteoarthritis (OA) patients from those with RA in clinical settings.
To explore a novel scoring approach using structural and synovial ultrasonographic features to distinguish between healthy and OA finger joints and those with RA.
22 patients with RA, 16 healthy controls, and 14 OA controls received a comprehensive ultrasound of one hand, with scores assigned using a modification of a previously reported RA scoring system (Semiquantitative Synovial Score), and using the novel approach (Combined Structural/Synovial Score). The number of joints classified as supporting the diagnosis of RA ("RA-supported") with each approach was recorded. Sensitivity and specificity for each scoring system were calculated with respect to the clinical diagnosis.
The Semiquantitative Synovial Score was highly sensitive (100%), but without specificity (0%) for the diagnosis of RA, when RA was defined as having more than 1 joint classified as "RA-supported." The Combined Structural/Synovial Score had high sensitivity (95%) and moderate specificity (77%) when RA was defined as having any joint classified as "RA-supported". Moderate sensitivity (73%) and high specificity (97%) were found when having more than 1 joint classified as "RA-supported" was required to diagnose RA.
A novel structural and synovial hand joint scoring system was capable of distinguishing OA and healthy controls from RA subjects in this pilot evaluation. Prospective validation of this approach is planned.
目前用于评估类风湿关节炎(RA)手指关节滑膜炎程度的超声评分系统并非为在临床环境中区分健康或骨关节炎(OA)患者与RA患者而设计。
探索一种利用结构和滑膜超声特征的新型评分方法,以区分健康和OA手指关节与RA手指关节。
22例RA患者、16例健康对照者和14例OA对照者接受了单手的全面超声检查,使用先前报道的RA评分系统(半定量滑膜评分)的改良版以及新型方法(结构/滑膜联合评分)进行评分。记录每种方法分类为支持RA诊断(“支持RA”)的关节数量。针对临床诊断计算每个评分系统的敏感性和特异性。
当将RA定义为有超过1个关节分类为“支持RA”时,半定量滑膜评分对RA诊断的敏感性很高(100%),但特异性为零(0%)。当将RA定义为有任何关节分类为“支持RA”时,结构/滑膜联合评分具有高敏感性(95%)和中度特异性(77%)。当要求有超过1个关节分类为“支持RA”才能诊断RA时,发现其敏感性为中度(73%),特异性为高(97%)。
在这项初步评估中,一种新型的手部关节结构和滑膜评分系统能够区分OA和健康对照者与RA患者。计划对该方法进行前瞻性验证。