Risk Stratification With Chest CT to Rule-out Suspected SARS-CoV-2 Infections (SCout)
Risk Stratification With Chest Computed Tomography to Rule-out Suspected SARS-CoV-2 Infections of Unspecific Symptomatic Patients Before Hospital Admission
研究概览
详细说明
To prevent spreading of the new coronavirus (SARS-CoV-2) from patients who are infected but in whom infection was not detected by means of Reverse transcription polymerase chain reaction (RT-PCR) and who are to be admitted to ordinary wards of hospitals, we aimed to determine validity of exclusion of pneumonia immediately before admission by means of chest computed tomography.
Patients admitted to the emergency department of the university hospital Jena with Covid-19 symptoms (temperature > 37.5°C; respiratory and/or gastrointestinal symptoms) whose RT-PCR test resulted negative, undergo a chest CT scan. Those patients without pulmonary infiltrates can be safely ruled out for Covid-19. Thus, CT has perfect selectivity evidence regarding pulmonary infiltrates; it has limited selectivity concerning the pathogenesis of the infiltration.
The study objective is to investigate the diagnostic value and consistency of chest CT as compared with comparison to RT-PCR assay in COVID-19 in patients which were stratified for hospital admission.
The hypothesis is that chest CT has the greatest clinical evidence (no detection of lung infiltration) when the RT-PCT is tested negative. We assume that chest CT has a high sensitivity for diagnosis of respiratory dominant COVID-19. A pulmonary COVID-19 in epidemic areas can be best ruled out when chest CT is negative for the presence of infiltrations of the lung parenchyma. This is described by the SNOUT principle which is an acronym for 'Sensitive test when Negative rules OUT the disease' under the condition of a low pretest probability.
研究类型
注册 (实际的)
联系人和位置
学习地点
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Thuringia
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Jena、Thuringia、德国、07747
- Jena University Hospital
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
描述
Inclusion Criteria:
- ≥ 18 years
- Provided written informed consent
- Intended hospital admission for any reason
- Symptoms that suggest infection with SARS-CoV-2
- Participant agrees to rt PCR and antibody test (SARS-CoV-2)
Exclusion Criteria:
- < 18 years
- Pregnancy cannot be excluded
学习计划
研究是如何设计的?
设计细节
研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
---|---|---|
Sensitivity and specificity of chest CT in detecting pneumonia in unspecific symptomatic patients who are to be admitted to hospital and who are rt-PCR negative for SARS-CoV-2.
大体时间:At hospital admission
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Positive likelihood ratio (LR+) Negative likelihood ratio (LR-)
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At hospital admission
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
---|---|---|
Sensitivity and specificity of chest CT in patients with pulmonary comorbidities
大体时间:At hospital admission
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Sensitivity and specificity of chest CT in detecting pneumonia in unspecific symptomatic patients with pulmonary comorbidities who are to be admitted to hospital and who are rt-PCR negative for SARS-CoV-2.
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At hospital admission
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Sensitivity and specificity of chest CT in patients with cardiovascular comorbidities
大体时间:At hospital admission
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Sensitivity and specificity of chest CT in detecting pneumonia in unspecific symptomatic patients with cardiovascular comorbidities who are to be admitted to hospital and who are rt-PCR negative for SARS-CoV-2.
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At hospital admission
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Sensitivity and specificity of chest CT in patients with malignancy
大体时间:At hospital admission
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Sensitivity and specificity of chest CT in detecting pneumonia in unspecific symptomatic patients with malignancy who are to be admitted to hospital and who are rt-PCR negative for infection with SARS-CoV-2.
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At hospital admission
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Sensitivity and specificity of chest CT in patients with immunodeficiency
大体时间:At hospital admission
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Sensitivity and specificity of chest CT in detecting pneumonia in unspecific symptomatic patients with immunodeficiency who are to be admitted to hospital and who are rt-PCR negative for SARS-CoV-2.
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At hospital admission
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其他结果措施
结果测量 |
措施说明 |
大体时间 |
---|---|---|
Predictive value of specific chest CT findings for detection of SARS-CoV-2
大体时间:At hospital admission
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Predictive value of chest CT
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At hospital admission
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合作者和调查者
调查人员
- 首席研究员:Ulf Teichgräber, Prof. Dr.、Department of Radiology, Jena University Hospital, Germany
出版物和有用的链接
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
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