Curtis J R, Yang S, Chen L, Pope J E, Keystone E C, Haraoui B, Boire G, Thorne J C, Tin D, Hitchon C A, Bingham C O, Bykerk V P
University of Alabama at Birmingham.
St. Joseph's Health Center and Western University, London, Ontario, Canada.
Arthritis Care Res (Hoboken). 2015 Oct;67(10):1345-53. doi: 10.1002/acr.22606.
Simplified measures to quantify rheumatoid arthritis (RA) disease activity are increasingly used. The minimum clinically important differences (MCID) for some measures, such as the Clinical Disease Activity Index (CDAI), have not been well-defined in real-world clinic settings, especially for early RA patients with low/moderate disease activity.
Data from Canadian Early Arthritis Cohort patients were used to examine absolute change in CDAI in the first year after enrollment, stratified by disease activity. MCID cut points were derived to optimize the sum of sensitivity and specificity versus the gold standard of patient self-reported improvement or worsening. Sensitivity, specificity, positive predictive values, and negative predictive values were calculated against patient self-reported improvement (gold standard) and for change in pain, Health Assessment Questionnaire (HAQ), and Disease Activity Score in 28 joints (DAS28) improvement. Discrimination was examined using the area under receiver operator curves. Similar methods were used to evaluate MCIDs for worsening for patients who achieved low disease activity.
A total of 578 patients (mean ± SD age 54.1 ± 15.3 years, 75% women, median [interquartile range] disease duration 5.3 [3.3, 8.0] months) contributed 1,169 visit pairs to the improvement analysis. The MCID cut points for improvement were 12 (patients starting in high disease activity: CDAI >22), 6 (moderate: CDAI 10-22), and 1 (low disease activity: CDAI <10). Performance characteristics were acceptable using these cut points for pain, HAQ, and DAS28. The MCID for CDAI worsening among patients who achieved low disease activity was 2 units.
These minimum important absolute differences in CDAI can be used to evaluate improvement and worsening and increase the utility of CDAI in clinical practice.
用于量化类风湿关节炎(RA)疾病活动度的简化指标正得到越来越广泛的应用。某些指标的最小临床重要差异(MCID),如临床疾病活动指数(CDAI),在实际临床环境中尚未得到很好的界定,尤其是对于疾病活动度低/中度的早期RA患者。
利用加拿大早期关节炎队列患者的数据,按疾病活动度分层,研究入组后第一年CDAI的绝对变化。推导MCID切点,以优化敏感性和特异性之和与患者自我报告的改善或恶化这一金标准之间的关系。针对患者自我报告的改善情况(金标准)以及疼痛、健康评估问卷(HAQ)和28个关节的疾病活动评分(DAS28)的改善情况,计算敏感性、特异性、阳性预测值和阴性预测值。使用受试者操作曲线下面积来检验区分度。采用类似方法评估疾病活动度低的患者病情恶化的MCID。
共有578例患者(平均±标准差年龄54.1±15.3岁,75%为女性,疾病持续时间中位数[四分位间距]为5.3[3.3, 8.0]个月)为改善分析贡献了1169对就诊数据。改善的MCID切点分别为12(疾病活动度高的起始患者:CDAI>22)、6(中度:CDAI 10 - 22)和1(疾病活动度低:CDAI<10)。使用这些切点对疼痛、HAQ和DAS28而言,性能特征是可接受的。疾病活动度低的患者中CDAI恶化的MCID为2个单位。
CDAI这些最小重要绝对差异可用于评估改善和恶化情况,并提高CDAI在临床实践中的实用性。