Department of Medicine, University of Melbourne at St. Vincent Hospital, Melbourne, Fitzroy, Victoria, Australia.
Rheumatology, St. Vincent Hospital, Melbourne, Fitzroy, Victoria, Australia.
Ann Rheum Dis. 2019 Jun;78(6):807-816. doi: 10.1136/annrheumdis-2018-214764. Epub 2019 Mar 30.
We sought to develop the first Damage Index (DI) in systemic sclerosis (SSc).
The conceptual definition of 'damage' in SSc was determined through consensus by a working group of the Scleroderma Clinical Trials Consortium (SCTC). Systematic literature review and consultation with patient partners and non-rheumatologist experts produced a list of potential items for inclusion in the DI. These steps were used to reduce the items: (1) Expert members of the SCTC (n=331) were invited to rate the appropriateness of each item for inclusion, using a web-based survey. Items with >60% consensus were retained; (2) Using a prospectively acquired Australian cohort data set of 1568 patients, the univariable relationships between the remaining items and the endpoints of mortality and morbidity (Physical Component Summary score of the Short Form 36) were analysed, and items with p<0.10 were retained; (3) using multivariable regression analysis, coefficients were used to determine a weighted score for each item. The DI was externally validated in a Canadian cohort.
Ninety-three (28.1%) complete survey responses were analysed; 58 of 83 items were retained. The univariable relationships with death and/or morbidity endpoints were statistically significant for 22 items, with one additional item forced into the multivariable model by experts due to clinical importance, to create a 23-item weighted SCTC DI (SCTC-DI). The SCTC-DI was predictive of morbidity and mortality in the external cohort.
Through the combined use of consensus and data-driven methods, a 23-item SCTC-DI was developed and retrospectively validated.
我们旨在开发系统性硬化症(SSc)的首个损伤指数(DI)。
通过 Scleroderma Clinical Trials Consortium(SCTC)工作组的共识,确定了 SSc 中“损伤”的概念定义。系统文献回顾,并咨询患者伙伴和非风湿病专家,产生了潜在DI 项目的列表。这些步骤用于减少项目:(1)邀请 SCTC 的专家成员(n=331)使用基于网络的调查,对每个项目的纳入进行适当性评分。获得>60%共识的项目保留;(2)使用前瞻性获得的澳大利亚 1568 例患者队列数据集,分析了其余项目与死亡率和发病率(36 项简短形式健康调查的生理成分综合评分)终点之间的单变量关系,保留 p<0.10 的项目;(3)使用多变量回归分析,确定每个项目的加权得分系数。DI 在加拿大队列中进行了外部验证。
分析了 93(28.1%)项完整调查答复;保留了 83 项中的 58 项。22 项与死亡和/或发病率终点的单变量关系具有统计学意义,由于临床重要性,另外一项被专家强行纳入多变量模型,创建了 23 项加权 SCTC DI(SCTC-DI)。SCTC-DI 可预测外部队列的发病率和死亡率。
通过共识和数据驱动方法的联合使用,开发并回顾性验证了 23 项 SCTC-DI。