Automated assessment of lung damage in COVID-19 and postoperative respiratory failure
Automated Quantification of Radiologic Pulmonary Alteration During Acute Respiratory Failure: Application to the COVID-19 Pandemic : Prospective Multicenter Cohort Study
This study is testing if using automated CT scans to measure lung damage can help doctors better understand how severe respiratory failure is in patients with COVID-19 or after surgery.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 500 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University Hospital, Strasbourg, France Academic / other |
| Locations | 2 sites (Nancy and 1 other locations) |
| Trial ID | NCT05278390 on ClinicalTrials.gov |
What this trial studies
This study evaluates the relationship between the extent of lung damage seen on thoracic CT scans and the clinical severity of patients suffering from acute respiratory failure due to SARS-CoV-2 infections or postoperative complications. By automating the quantification of pulmonary alterations, the research aims to provide a more objective measure of patient severity. The study will involve patients admitted to specific care units in Strasbourg and Nancy, France, who meet the inclusion criteria. The findings could enhance clinical decision-making and patient management during critical respiratory events.
Who should consider this trial
Good fit: Ideal candidates include patients suspected of having SARS-CoV-2 infections or experiencing postoperative hypoxemic respiratory failure.
Not a fit: Patients who are pregnant, on home oxygen therapy, or under legal protection may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to improved assessment and management of patients with severe respiratory conditions.
How similar studies have performed: While the specific automated quantification approach may be novel, similar studies assessing lung damage in respiratory failure have shown promising results.
Eligibility criteria
Show full inclusion / exclusion criteria
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
Where this trial is running
Nancy and 1 other locations
- Service d'anesthésie réanimation-CHU de Nancy — Nancy, France (Not_yet_recruiting)
- Service d'Anesthésie-Réanimation - CHU Strasbourg — Strasbourg, France (Recruiting)
Study contacts
- Study coordinator: Eric NOLL, MD PhD
- Email: eric.noll@chru-strasbourg.fr
- Phone: 03 88 12 70 76
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.