- ICH GCP
- US Clinical Trials Registry
- Klinisk forsøg NCT04357938
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
Studieoversigt
Status
Betingelser
Intervention / Behandling
Detaljeret beskrivelse
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.
Undersøgelsestype
Tilmelding (Faktiske)
Kontakter og lokationer
Studiesteder
-
-
Thuringia
-
Jena, Thuringia, Tyskland, 07747
- Jena University Hospital
-
-
Deltagelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
Tager imod sunde frivillige
Køn, der er berettiget til at studere
Prøveudtagningsmetode
Studiebefolkning
Beskrivelse
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
Studieplan
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
|
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.
Tidsramme: At hospital admission
|
Positive likelihood ratio (LR+) Negative likelihood ratio (LR-)
|
At hospital admission
|
Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
|
Sensitivity and specificity of chest CT in patients with pulmonary comorbidities
Tidsramme: At hospital admission
|
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.
|
At hospital admission
|
|
Sensitivity and specificity of chest CT in patients with cardiovascular comorbidities
Tidsramme: At hospital admission
|
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.
|
At hospital admission
|
|
Sensitivity and specificity of chest CT in patients with malignancy
Tidsramme: At hospital admission
|
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.
|
At hospital admission
|
|
Sensitivity and specificity of chest CT in patients with immunodeficiency
Tidsramme: At hospital admission
|
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.
|
At hospital admission
|
Andre resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
|
Predictive value of specific chest CT findings for detection of SARS-CoV-2
Tidsramme: At hospital admission
|
Predictive value of chest CT
|
At hospital admission
|
Samarbejdspartnere og efterforskere
Sponsor
Efterforskere
- Ledende efterforsker: Ulf Teichgräber, Prof. Dr., Department of Radiology, Jena University Hospital, Germany
Publikationer og nyttige links
Datoer for undersøgelser
Studer store datoer
Studiestart (Faktiske)
Primær færdiggørelse (Faktiske)
Studieafslutning (Faktiske)
Datoer for studieregistrering
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først opslået (Faktiske)
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
- IDIR-001-2020
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
IPD-planbeskrivelse
Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter
Studerer et amerikansk FDA-reguleret lægemiddelprodukt
Studerer et amerikansk FDA-reguleret enhedsprodukt
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