Bedside Lung Ultrasound to Monitor Lung Recruitment in Obese Patients

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Conditions studied: Morbid Obesity, Obesity, Respiratory Failure, Atelectasis, Ventilator-Induced Lung Injury (VILI)

In brief

Patients with morbid obesity who require a breathing machine (mechanical ventilator) in the Intensive Care Unit (ICU) frequently experience partial lung collapse. This happens because the extra weight of the chest and abdomen presses on the lungs, reducing their capacity and making it difficult to maintain adequate oxygen levels. To address this, doctors often perform a standard lung recruitment maneuver, which involves temporarily increasing the air pressure from the ventilator to gently pop open the collapsed lung areas. However, standard bedside monitoring tools make it difficult to see exactly how well the different regions of the lungs are reopening. This prospective observational study aims to evaluate the use of Bedside Lung Ultrasound (LUS), which is a safe, radiation-free imaging tool, to monitor how well the lungs respond to these maneuvers in real-time. During the study, researchers will use a standardized 12-zone ultrasound scan to examine the lungs of mechanically ventilated adult patients (BMI ≥ 33 kg/m²) before, during, and after a step-by-step lung recruitment maneuver. By calculating a "Total Lung Ultrasound Score," the medical team can directly visualize and measure the transition from collapsed tissue to normal, aerated lung tissue. Furthermore, the ultrasound will be used during a step-down pressure phase to help identify the patient's "optimal PEEP" (Positive End-Expiratory Pressure), which is the exact customized pressure needed to keep the lungs open after the maneuver is complete, thereby improving oxygenation and minimizing the risk of lung injury.

Key facts

Study ID
NCT07542093
Run by
Assiut University
People needed
45
Starts
2026-05-01
Expected to finish
2027-06-01
Last updated by the study team
2026-04-21

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

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Full record on ClinicalTrials.gov

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