Actively Recruiting

Age: 18Years +
All Genders
ID07175194

Association Between the "Best" Positive End-Expiratory Pressure Identified With Electrical Impedance Tomography and the Potential for Hyperinflation and Collapse Assessed With Lung Computed Tomography in Mechanically Ventilated Patients With Acute Respiratory Failure

Led by Istituto Clinico Humanitas · Updated on 2026-05-19

30

Participants Needed

1

Research Sites

13 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are studying patients with acute respiratory failure (ARF) who are treated with mechanical ventilation to better understand how to set positive end-expiratory pressure (PEEP) to reduce lung damage. This observational study analyzes data already collected during routine clinical care without requiring any new interventions. The goal is to compare two methods of monitoring lung response to PEEP: lung computed tomography (CT), which measures lung structure, and electrical impedance tomography (EIT), which assesses lung function. Patients with ARF in the study undergo lung CT scans at PEEP levels of 20 and 5 cmH2O, followed by a decremental PEEP test using lung EIT, where PEEP is gradually decreased from 20 to 5 cmH2O in steps. The CT scans measure changes in lung hyperinflation and collapse, while EIT monitors regional lung compliance changes. These results are then analyzed offline to see if the "best" PEEP level determined by EIT matches the lung response measured by CT. Participants are involved through data collection during their usual clinical care, including lung CT and EIT as part of PEEP setting. The researchers measure how well the EIT method corresponds to CT findings within 72 hours from the start of mechanical ventilation. This study does not require extra treatment or procedures beyond routine care. Data analysis focuses on associations between lung imaging and functional responses to improve safer PEEP setting methods in mechanically ventilated patients.

CONDITIONS

Brief Title

Association Between EIT and CT During PEEP Titration in Patients With Acute Respiratory Failure

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Adults (18 years of age or older) admitted to the unit with acute respiratory failure treated with mechanical ventilation
  • The patient undergoes lung computed tomography (CT) and electrical impedance tomography (EIT) to guide PEEP settings as part of routine clinical care
Not Eligible

You will not qualify if you...

  • Patient cannot undergo lung computed tomography (CT) and/or electrical impedance tomography (EIT) as judged by the attending physician (e.g., if transport to radiology is too risky or EIT is contraindicated due to devices like pacemakers)
  • Pregnancy, as it alters respiratory physiology

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

Diagnostic Evaluation

Duration - Within 72 hours from the start of mechanical ventilation

Participants undergo lung computed tomography (CT) and electrical impedance tomography (EIT) performed as part of routine clinical care to guide PEEP settings.

1 to 2 visits depending on clinical needs

Long-term Monitoring

Duration - Up to 72 hours from the start of mechanical ventilation

Participants are observed for associations between lung EIT and CT findings during PEEP titration while receiving mechanical ventilation for acute respiratory failure.

Trial Site Locations

Total: 1 location

1

IRCCS Humanitas Research Hospital

Milan, Milan, Italy, 20089

Actively Recruiting

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Research Team

A

Alessandro Protti

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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Published Research Related To This Trial

Fifty Years of Research in ARDS. Setting Positive End-Expiratory Pressure in Acute Respiratory Distress Syndrome.

Sarina K Sahetya, Ewan C Goligher, Roy G Brower

https://pubmed.ncbi.nlm.nih.gov/28146639

Lung Response to a Higher Positive End-Expiratory Pressure in Mechanically Ventilated Patients With COVID-19.

Alessandro Protti, Alessandro Santini, Francesca Pennati...

https://pubmed.ncbi.nlm.nih.gov/34666011

Lung Recruitment Assessed by Electrical Impedance Tomography (RECRUIT): A Multicenter Study of COVID-19 Acute Respiratory Distress Syndrome.

Annemijn H Jonkman, Glasiele C Alcala, Bertrand Pavlovsky...

https://pubmed.ncbi.nlm.nih.gov/37097986

Lung Recruitment Assessed by Respiratory Mechanics and Computed Tomography in Patients with Acute Respiratory Distress Syndrome. What Is the Relationship?

Davide Chiumello, Antonella Marino, Matteo Brioni...

https://pubmed.ncbi.nlm.nih.gov/26699672