Department of Rheumatology and the Centre of Experimental Rheumatology, University Hospital Zurich, Zurich, Switzerland.
Graf Biostatistics, Winterthur, Switzerland.
Ann Rheum Dis. 2019 Sep;78(9):1242-1248. doi: 10.1136/annrheumdis-2019-215145. Epub 2019 Jun 21.
Mortality and worsening of organ function are desirable endpoints for clinical trials in systemic sclerosis (SSc). The aim of this study was to identify factors that allow enrichment of patients with these endpoints, in a population of patients from the European Scleroderma Trials and Research group database.
Inclusion criteria were diagnosis of diffuse SSc and follow-up over 12±3 months. Disease worsening/organ progression was fulfilled if any of the following events occurred: new renal crisis; decrease of lung or heart function; new echocardiography-suspected pulmonary hypertension or death. In total, 42 clinical parameters were chosen as predictors for the analysis by using (1) imputation of missing data on the basis of multivariate imputation and (2) least absolute shrinkage and selection operator regression.
Of 1451 patients meeting the inclusion criteria, 706 had complete data on outcome parameters and were included in the analysis. Of the 42 outcome predictors, eight remained in the final regression model. There was substantial evidence for a strong association between disease progression and age, active digital ulcer (DU), lung fibrosis, muscle weakness and elevated C-reactive protein (CRP) level. Active DU, CRP elevation, lung fibrosis and muscle weakness were also associated with a significantly shorter time to disease progression. A bootstrap validation step with 10 000 repetitions successfully validated the model.
The use of the predictive factors presented here could enable cohort enrichment with patients at risk for overall disease worsening in SSc clinical trials.
死亡率和器官功能恶化是系统性硬化症(SSc)临床试验的理想终点。本研究的目的是在欧洲硬皮病试验和研究组数据库的患者人群中,确定可用于富集这些终点患者的因素。
纳入标准为弥漫性 SSc 诊断和随访 12±3 个月。如果发生以下任何事件,则认为疾病恶化/器官进展:新发肾危象;肺或心脏功能下降;新出现超声心动图可疑肺动脉高压或死亡。总共选择了 42 个临床参数作为分析的预测因子,使用(1)多元插补法对缺失数据进行插补和(2)最小绝对收缩和选择算子回归。
符合纳入标准的 1451 例患者中,有 706 例患者具有完整的结局参数数据并纳入分析。在 42 个结局预测因子中,有 8 个保留在最终回归模型中。疾病进展与年龄、活动性指端溃疡(DU)、肺纤维化、肌肉无力和 C 反应蛋白(CRP)水平升高之间存在很强的关联,这一点有充分的证据支持。活动性 DU、CRP 升高、肺纤维化和肌肉无力也与疾病进展的时间显著缩短相关。使用 10000 次重复的自举验证步骤成功验证了该模型。
使用此处呈现的预测因素,可以在 SSc 临床试验中富集有整体疾病恶化风险的患者队列。