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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
500
Automated quantitative analysis of altered pulmonary volume
Service d'anesthésie réanimation-CHU de Nancy
Nancy, France
NOT_YET_RECRUITINGService d'Anesthésie-Réanimation - CHU Strasbourg
Strasbourg, France
RECRUITINGCorrelation between altered pulmonary volume and ordinal severity scale
This criterion will be expressed as a score between 1 (least severe) and 7 (most severe).
Time frame: 2 days after CT scan (Day 2)
Correlation between altered pulmonary volume and ordinal severity scale
This criterion will be expressed as a score between 1 (least severe) and 7 (most severe).
Time frame: 7 days after CT scan (Day 7)
Mortality
Time frame: 90 days following CT scan (Day 90)
Rate of admission to intensive care unit
Time frame: 28 days following CT scan (Day 28)
Initial length of hospitalization stay (in days)
Time frame: 90 days following CT scan (Day 90)
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