RecruitingNCT07237139

Pulmonary Volume Changes During Synchonized Noninvasive Positive Pressure Ventilation

Intrapulmonary Volume Changes During Synchronized Noninvasive Positive Pressure Ventilation In Preterm Infants


Sponsor

University of Zurich

Enrollment

27 participants

Start Date

Nov 17, 2025

Study Type

OBSERVATIONAL

Conditions

Summary

Current evidence suggests that noninvasive positive pressure ventilation (NIPPV) is more effective than continuous positive airway pressure (CPAP) in preventing respiratory failure in preterm infants with respiratory distress syndrome (RDS), both as initial and post-extubation support. NIPPV may be delivered in synchronized (sNIPPV) or non-synchronized (nsNIPPV) modes, with sNIPPV offering clear benefits by coordinating support with the infant's own breathing. Recent studies indicate sNIPPV is superior to nsNIPPV in preventing respiratory failure, though the intrapulmonary mechanisms behind this advantage remain unclear. To address this, the present study uses Electrical Impedance Tomography (EIT) to evaluate how lung volume changes during different types of breaths and ventilator inflations - spontaneous breaths, synchronized inflations, non-synchronized inflations, and backup inflations - in preterm infants receiving sNIPPV.


Eligibility

Max Age: 4 Weeks

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying a medical device called Electrical Impedance Tomography (EIT) for people with chronic lung disease of newborn, infant, preterm, and other related conditions. The study is currently recruiting participants at 1 location. People eligible for this study include up to age 4 Weeks.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICEElectrical Impedance Tomography (EIT)

Electrical Impedance Tomography and clinical data will be recorded continuously. Corresponding data will be extracted and analyzed at five pre-defined timepoints.


Locations(1)

University Hospital Zurich

Zurich, Canton of Zurich, Switzerland

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NCT07237139


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