Imaging Biomarkers to Stratify the Risk of Barotrauma in ARDS

NCT ID: NCT05816954

Last Updated: 2025-08-06

Basic Information

• Recruitment Status: RECRUITING
• Total Enrollment: 100 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2023-08-30
• Study Completion Date: 2027-07-31

Brief 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.

Detailed Description

Development of barotrauma, spanning from asymptomatic air leakage within lung parenchyma to life-threatening conditions such as tension pneumothorax, is frequent in acute respiratory distress syndrome (ARDS), with a difficult, non-standardized management, resulting in high mortality rates (greater than 60% in coronavirus disease 2019 [COVID-19] ARDS patients, around 46% in non-COVID-19 ARDS patients). Of note, barotrauma occurs also in spontaneously breathing patients with COVID-19 ARDS. Frailty of lung parenchyma represents indeed a major issue in ARDS. In addition, in high-risk patients, mechanical ventilation may exacerbate pulmonary damage (ventilator-induced lung injury) and potentially induce barotrauma despite use of protective mechanical ventilation. Early assessment of lung frailty could therefore allows early risk stratification in terms of barotrauma susceptibility amongst ARDS patients, providing rationale for the deployment of lung protective management strategies in those at high-risk for barotrauma. Macklin effect, firstly intended to allow proper differentiation between respiratory and other causes of air leakage in the mediastinum (such as tracheobronchial/oesophageal injury), has been recently proved by our group to be a consistent, very accurate radiological predictor of barotrauma development in COVID-19 ARDS patients (sensitivity: 89.2%; specificity: 95.6%), anticipating by 12 days the occurrence of clinically overt barotrauma. These results have been confirmed, and even improved by multicentre findings, which report, on a large cohort of COVID-19 patients (almost 700), an impressive, almost perfect overall accuracy (99.8%) of the Macklin effect in predicting barotrauma development. Furthermore, data from our group suggest that early application of awake veno/venous extracorporeal membrane oxygenation (ECMO) without invasive mechanical ventilation in COVID-19 severe ARDS patients at high-risk for barotrauma (those with Macklin effect on chest CT imaging) is feasible and may result in no barotrauma events and low intubation rate. In this respect, confirmation of Macklin effect role and identification of further, novel quantitative imaging biomarkers could unveil biological bases of lung frailty in course of ARDS and provide instruments for early risk stratification before barotrauma occurrence.

Our group also implemented original in-house facilities consisting of densitometry, machine learning and artificial intelligence-based approaches to assess lung composition in COVID-19 patients throughout a fully automated workflow; recently, the investigators highlighted the outstanding clinical significance of this methodological approach in predicting patients' prognosis, as well as its great reproducibility. Preliminary, yet unpublished findings suggest that lung frailty has a specific densitometric signature, being a possible marker for hyper protective management strategies; few, highly robust radiomic features seem to corroborate the same result.

Accordingly, the driving hypotheses of this retrospective/prospective study are that, irrespective of COVID-19 status, in ARDS patients, i) lung frailty has a specific pattern of imaging biomarkers, and that ii) a more accurate selection of patients could limit the problem of barotrauma associated with mechanical ventilation.

Conditions

Acute Respiratory Distress Syndrome; Barotrauma

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Interventions

Chest Computed Tomography Scan per normal clinical practice

Normal Clinical practice

Intervention Type: DIAGNOSTIC_TEST

Eligibility Criteria

Inclusion Criteria

• Clinical and radiological signs of ARDS, according to Berlin criteria [14], requiring ICU admission;
• Obtain duly signed informed consent.

Exclusion Criteria

• Poor quality imaging (because of motion/respiratory artefacts).

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Università Vita-Salute San Raffaele

OTHER

Sponsor Role: lead

Responsible Party

Giovanni Landoni

MD, Full Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Giovanni Landoni, Professor

Role: STUDY_CHAIR

Vita-Salute San Raffaele University

Locations

Ospedale Mater Domini

Catanzaro, Calabria, Italy

Site Status: RECRUITING

IRCCS San Raffaele Scientific Institute

Milan, MI, Italy

Site Status: RECRUITING

Countries

Italy

Central Contacts

Diego Palumbo, MD

Role: CONTACT

palumbo.diego@hsr.it

+39022643 ext. 2529

Alessandro Belletti, MD

Role: CONTACT

belletti.alessandro@hsr.it

+39022643 ext. 6151

Facility Contacts

Federico Longhini, MD

Role: primary

Diego Palumbo, MD

Role: primary

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Other Identifiers

FRAIL ARDS - 49/INT/2022

Identifier Type: -

Identifier Source: org_study_id