Imaging Biomarkers to Stratify the Risk of Barotrauma in ARDS
Artificial Intelligence-based Identification of Imaging Biomarkers of Lung FRAILty in Patients With Acute Respiratory Distress Syndrome.
Università Vita-Salute San Raffaele
100 participants
Aug 30, 2023
OBSERVATIONAL
Conditions
Summary
The high incidence of barotrauma in patients with COVID-19-related acute respiratory distress syndrome (ARDS) (16.1%, with a mortality rate \>60%) provides rationale for considering COVID-19 ARDS a paradigm for lung frailty. The investigators recently discovered that the Macklin effect is an impressive radiological predictor of barotrauma in COVID-19 ARDS. Since lung frailty is a major issue also in non-COVID-19 ARDS (6% barotrauma, with a mortality rate of 46% ) the investigators want to confirm the importance of Macklin effect in non-COVID-19 ARDS. Using artificial intelligence-based approaches the investigators also want to identify imaging biomarkers to non-invasively assess lung frailty in a mixed cohort of COVID-19/non-COVID-19 ARDS patients. Furthermore, the investigators want to prospectively validate these biomarkers in a cohort of ARDS patients. This will provide a therapeutic algorithm for ARDS patients at high-risk for barotrauma, identifying those most likely to benefit from hyper protective strategies.
Eligibility
Inclusion Criteria2
- Clinical and radiological signs of ARDS, according to Berlin criteria \[14\], requiring ICU admission;
- Obtain duly signed informed consent.
Exclusion Criteria1
- Poor quality imaging (because of motion/respiratory artefacts).
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Interventions
Normal Clinical practice
Locations(2)
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NCT05816954