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
연구 개요
상세 설명
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.
연구 유형
등록 (실제)
연락처 및 위치
연구 장소
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Thuringia
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Jena, Thuringia, 독일, 07747
- Jena University Hospital
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참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
설명
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
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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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.
기간: 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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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Sensitivity and specificity of chest CT in patients with pulmonary comorbidities
기간: 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
기간: 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
기간: 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
기간: 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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기타 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Predictive value of specific chest CT findings for detection of SARS-CoV-2
기간: At hospital admission
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Predictive value of chest CT
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At hospital admission
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공동 작업자 및 조사자
수사관
- 수석 연구원: Ulf Teichgräber, Prof. Dr., Department of Radiology, Jena University Hospital, Germany
간행물 및 유용한 링크
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (실제)
연구 완료 (실제)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
추가 관련 MeSH 약관
기타 연구 ID 번호
- IDIR-001-2020
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
IPD 계획 설명
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
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