Unsupervised Clustering Evaluation of HRCT Patterns in Systemic Sclerosis-associated Interstitial Lung Disease
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- HRCT scan variables
研究概览
简要总结
Systemic sclerosis (SSc) is a heterogeneous systemic autoimmune disease with distinct prognosis according to patients. Interstitial lung disease (ILD) concerns almost 50 % of SSc patients and represents the main cause of mortality. SSc-ILD is variable: from limited forms (with asymptomatic patients) to extensive lesions. Disease course in SSc-ILD is also highly variable: patients can experience stable disease, slow or fast progression. Investigators performed unsupervised clustering analysis to classify SSc-ILD according to elementary radiological lesions on HRCT scan.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients with systemic sclerosis according to 2013 ACR/EULAR criteria
- •Patients with interstitial lung disease on HRCT chest
排除标准
- •Patients with an alternative diagnosis of SSc-associated ILD (silicosis, sarcoidosis, lung cancer or other significant lung abnormalities)
结局指标
主要结局
HRCT scan variables
时间窗: baseline (J0)
HRCT scan variables included in hierarchical agglomerative clustering (HAC) analysis
次要结局
未报告次要终点
研究者
Paul DECKER, MD
Principal Investigator
Central Hospital, Nancy, France