Rheumatology Research Group, School of Immunity and Infection, College of Medical and Dental Sciences, The Medical School (East Wing), University of Birmingham, Birmingham B15 2TT, UK.
Rheumatology (Oxford). 2011 May;50(5):982-8. doi: 10.1093/rheumatology/keq376. Epub 2011 Jan 18.
To examine SLEDAI-2000 cut-off scores for definition of active SLE and to determine the sensitivity to change of SLEDAI-2000 for the assessment of SLE disease activity and minimal clinically meaningful changes in score.
Data from two multi-centre studies were used in the analysis: in a cross-sectional and a longitudinal fashion. At every assessment, data were collected on SLEDAI-2000 and treatment. The cross-sectional analysis with receiver operating characteristic (ROC) curves was used to examine the appropriate SLEDAI-2000 score to define active disease and increase in therapy was the reference standard. In the longitudinal analysis, sensitivity to change of SLEDAI-2000 was assessed with multinomial logistic regression. ROC curves analysis was used to examine possible cut-points in score changes associated with change in therapy, and mean changes were estimated.
In the cross-sectional analysis, the most appropriate cut-off scores for active disease were 3 or 4. In the longitudinal analysis, the best model for predicting treatment increase was with the change in SLEDAI-2000 score and the score from the previous visit as continuous variables. The use of cut-points was less predictive of treatment change than the use of continuous score. The mean difference in the change in SLEDAI-2000 scores, adjusted for prior score, between patients with treatment increase and those without was 2.64 (95% CI 2.16, 3.14).
An appropriate SLEDAI-2000 score to define active disease is 3 or 4. SLEDAI-2000 index is sensitive to change. The use of SLEDAI-2000 as a continuous outcome is recommended for comparative purposes.
探讨 SLEDAI-2000 评分在定义活动期系统性红斑狼疮(SLE)中的截断值,并确定 SLEDAI-2000 评估 SLE 疾病活动度和评分中最小临床有意义变化的灵敏度。
本研究使用了两项多中心研究的数据:横断面和纵向研究。在每次评估中,均收集 SLEDAI-2000 评分和治疗数据。使用受试者工作特征(ROC)曲线的横断面分析来评估适当的 SLEDAI-2000 评分以定义活动期疾病,增加治疗是参考标准。在纵向分析中,使用多项逻辑回归评估 SLEDAI-2000 的灵敏度变化。ROC 曲线分析用于评估与治疗变化相关的评分变化的可能临界点,并估计平均变化。
在横断面分析中,活动期疾病最合适的截断值为 3 或 4。在纵向分析中,预测治疗增加的最佳模型是将 SLEDAI-2000 评分的变化和前一次就诊的评分作为连续变量。与使用连续评分相比,使用临界点对治疗变化的预测性较差。在调整了先前评分后,治疗增加患者和未治疗患者之间 SLEDAI-2000 评分变化的平均差异为 2.64(95%置信区间为 2.16,3.14)。
SLEDAI-2000 评分 3 或 4 是定义活动期疾病的适当评分。SLEDAI-2000 指数对变化敏感。建议将 SLEDAI-2000 作为连续结局用于比较目的。