NCT07438938: Lazarus-AOI

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

Recruiting now Last updated 27 February 2026

What this trial tests

trial in Cardiac Arrest (CA) in 150 participants. Currently enrolling.

Timeline

1 October 2022

Primary endpoint
30 September 2026

1 January 2027

Quick facts

Lead sponsor	University Hospital, Ghent
Status	Recruiting now
Study type	OBSERVATIONAL
Enrollment	150
Start date	1 October 2022
Primary completion	30 September 2026
Estimated completion	1 January 2027
Sites	1 location across Belgium

Conditions studied

• Cardiac Arrest (CA) — all drugs for Cardiac Arrest (CA) →
• Out-of-hospital Cardiac Arrest (OHCA) — all drugs for Out-of-hospital Cardiac Arrest (OHCA) →
• Resuscitated Sudden Cardiac Death — all drugs for Resuscitated Sudden Cardiac Death →

Sponsor

University Hospital, Ghent

Who can join

18 and older, any sex, with Cardiac Arrest (CA) or Out-of-hospital Cardiac Arrest (OHCA). Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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 rhythm pattern.

Finally, it is investigated whether PEEP has a positive influence on AOI. This study aims to contribute to better insights into airway dynamics during CPR and the optimization of ventilation in OHCA.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.