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Study identifier: NCT07438938 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

Measurement of Airway Opening Index During Out-of-hospital Cardiac Arrest: The Lazarus AOI Trial.

Condition: Cardiac Arrest (CA) · Out-of-hospital Cardiac Arrest (OHCA) · Resuscitated Sudden Cardiac Death  ·  Sponsor: University Hospital, Ghent

PhaseN/A
Planned participants150
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

Out-of-hospital cardiac arrest (OHCA) is a leading cause of death worldwide. Despite constantly improving resuscitation techniques, the chances of survival remain limited. During cardiopulmonary resuscitation (CPR), a closure of the airway may occur, impeding ventilation. This phenomenon also complicates the interpretation of the end-tidal CO2 (ETCO2) in the capnogram. The extent to which airway closure occurs is quantified by the Airway Opening Index (AOI). This can be calculated from the capnogram and is seen as a measure of the quality of CPR applied as well as a possible indicator to predict the outcome of CPR. In this study, we analyse capnogram data from approximately 150 cases, collected during interventions for OHCA and logged in the Lazarus database (UZ Gent and AZORG) to answer three research questions below: 1. What is the prevalence of AOI during CPR? 2. Is there a correlation between AOI and return of spontaneous circulation (ROSC)? 3. Does the application of positive end-expiratory pressure (PEEP) affect the AOI and ROSC? A mathematical model for calculating AOI, based on a method from previous work by Bandhari et al. \[1\] will be developed. Using this model, the AOI will be calculated from the individual capnograms for all cases in the Lazarus database. In addition, a multivariable regression model will be used to analyse whether AOI can be used to predict ROSC. Corrections will be made for relevant confounders such as age, gender, witnessed arrest and rhy…

This description comes directly from the study's public registry record.

Talk to the study team

Said Hachimi Idrissi, MD, PhD  ·  0032 9 332 50 24  ·  SAID.HACHIMIIDRISSI@ugent.be

Thomas Tackaert, MD  ·  thomas.tackaert@ugent.be

Always discuss trial participation with your own doctor first.

Locations (1)

Ghent University HospitalGhent, East-Flanders, BelgiumRecruiting

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Source record: clinicaltrials.gov/study/NCT07438938