Egsmose Emilie Lund, Madsen Ole Rintek
Department of Rheumatology/C, Copenhagen University Hospital Gentofte, DK-2900, Hellerup, Denmark.
Clin Rheumatol. 2015 Jul;34(7):1187-94. doi: 10.1007/s10067-015-2968-0. Epub 2015 May 19.
The interplay between patient-reported outcome measures in rheumatology is not well clarified. The objective of the study was to examine associations on the group level and concordance on the individual patient level between patient global assessment (PaGl), pain, and fatigue as scored on visual analog scales (VAS) in the daily clinic by patients with active rheumatoid arthritis (RA). Associations with other measures of disease activity were also examined. Traditional disease activity data on 221 RA patients with active disease planned to initiate biological treatment were extracted from the Danish DANBIO registry. Associations between VAS PaGl, pain, and fatigue (0-100) were examined using multiple regression analysis. Concordance between the VAS scores was expressed as the bias (mean difference between intra-individual scores) and the 95% lower and upper limits of agreement (LLoA; ULoA) according to the Bland-Altman method. Mean age was 57 ± 14 years, mean Disease Activity Score (DAS28-CRP4) 5.0 ± 0.9, and mean PaGl 63.6 ± 22.6. PaGl was most strongly predicted by pain and fatigue, pain by PaGl and fatigue, and fatigue by PaGl and pain (beta ranging from 0.17 to 0.69, p < 0.01-0.0001). More objective measures were not or far less predictive. LLoA;ULoA [bias] for PaGl vs. pain was -19.1; 29.5 [5.2], for PaGl vs. fatigue -22.8; 28.6 [2.9], and for fatigue vs. pain -29.2; 33.8 [2.3]. In conclusion, PaGl, pain, and fatigue were most strongly explained by each other, not by more objective clinical measures of disease activity and were nearly identical on the group level. On the individual patient level, however, differences between the scores varied considerably. The findings highlight the challenge of understanding and dealing with traditional patient-reported VAS measures when it comes to individual RA patients in the daily clinic.
风湿病中患者报告结局指标之间的相互作用尚未得到充分阐明。本研究的目的是在日常临床中,对活动性类风湿关节炎(RA)患者在视觉模拟量表(VAS)上所记录的患者整体评估(PaGl)、疼痛和疲劳进行组间关联分析以及个体患者层面的一致性分析。同时也研究了这些指标与其他疾病活动度指标之间的关联。从丹麦DANBIO注册中心提取了221例计划开始生物治疗的活动性RA患者的传统疾病活动数据。使用多元回归分析研究VAS PaGl、疼痛和疲劳(0 - 100)之间的关联。根据Bland - Altman方法,VAS评分之间的一致性用偏差(个体内评分的平均差异)以及95%一致性下限和上限(LLoA;ULoA)表示。平均年龄为57±14岁,平均疾病活动评分(DAS28 - CRP4)为5.0±0.9,平均PaGl为63.6±22.6。PaGl最强的预测因素是疼痛和疲劳,疼痛的预测因素是PaGl和疲劳,疲劳的预测因素是PaGl和疼痛(β范围为0.17至0.69,p < 0.01 - 0.0001)。更客观的指标没有或很少具有预测性。PaGl与疼痛的LLoA;ULoA[偏差]为 - 19.1;29.5[5.2],PaGl与疲劳的为 - 22.8;28.6[2.9],疲劳与疼痛的为 - 29.2;33.8[2.3]。总之,PaGl、疼痛和疲劳之间最强的解释因素是彼此,而非更客观的疾病活动临床指标,并且在组层面上几乎相同。然而,在个体患者层面,评分之间的差异有很大变化。这些发现凸显了在日常临床中,对于个体RA患者而言,理解和处理传统的患者报告VAS指标所面临的挑战。