The Dynamics of the Immune Response to Infection by SARS Coronavirus 2
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 173
- 试验地点
- 1
- 主要终点
- Differential expression of biomarkers between COVID-19 and controls
研究概览
简要总结
To evaluate host-immune biomarkers including TRAIL, IP-10, CRP and their computational integration for predicting COVID-19 and disease severity in patients with PCR-confirmed COVID-19.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 3 Months 至 —(Child, Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •signed informed consent
- •confirmed infection with SARS-CoV-2 (except for the controls)
排除标准
- 未提供
结局指标
主要结局
Differential expression of biomarkers between COVID-19 and controls
时间窗: up to 90 days
Differential expression of TRAIL, IP-10, CRP, and their computational integration in subjects with COVID-19, as compared to control subjects.
Differential expression of biomarkers between severe and non-severe COVID-19
时间窗: up to 90 days
Differential expression of TRAIL, IP-10, CRP, and their computational integration in subjects with COVID-19, who require more extensive medical intervention (i.e., exhibit severe symptoms), i.e. severe infection vs. non-severe infection
Correlation of biomarkers with disease severity
时间窗: up to 90 days
Correlation between host-immune biomarkers including TRAIL, IP-10, CRP, and their computational integration for predicting disease severity in patients with COVID-19, where measures of severity include ICU admission, respiratory failure, mechanical ventilation, septic shock, non-respiratory organ failure, and mortality.
次要结局
- Correlation of biomarkers with viral load(up to 90 days)
- Biomarkers depending on therapy(up to 90 days)
- Biomarkers depending on bacterial co-infection(up to 90 days)
研究者
Cihan Papan
MD
Universität des Saarlandes
