SARS-CoV-2 Infections, Respiratory Failure With Hypoxia
Conditions
Brief summary
Automated quantification of the pulmonary volume impaired during acute respiratory failure could be helpful to assess patient severity during COVID-19 infection or perioperative medicine, for example. This study aims at assessing the correlation between the amount of radiologic pulmonary alteration and the clinical severity in two clinical situation : 1. SARS-CoV-2 infections 2. Postoperative hypoxemic acute respiratory failure.
Interventions
RADIATIONThoracic CT scan
Automated quantitative analysis of altered pulmonary volume
Sponsors
REGION GRAND EST
E-MEDIA
VISIBLE PATIENT
University Hospital, Strasbourg, France
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Subject admitted to a care unit of the University Hospitals of Strasbourg or the University Hospital of Nancy and presenting a suspicion of SARS-CoV-2 infection or postoperative hypoxemic respiratory failure * Able to understand the objectives and risks of the research and to give dated and signed informed consent. Subjects may also be included in emergency or immediate life-threatening situations. * Subject with insurance covering
Exclusion criteria
* Pregnant woman (pregnancy confirmed by a urine or blood test) * Subject usually on home oxygen therapy * Subject under court protection * Subject under guardianship or curatorship
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between altered pulmonary volume and ordinal severity scale | 2 days after CT scan (Day 2) | This criterion will be expressed as a score between 1 (least severe) and 7 (most severe). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between altered pulmonary volume and ordinal severity scale | 7 days after CT scan (Day 7) | This criterion will be expressed as a score between 1 (least severe) and 7 (most severe). |
| Mortality | 90 days following CT scan (Day 90) | — |
| Rate of admission to intensive care unit | 28 days following CT scan (Day 28) | — |
| Initial length of hospitalization stay (in days) | 90 days following CT scan (Day 90) | — |
Countries
France
Contacts
Primary ContactEric NOLL, MD PhD
Outcome results
None listed