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Efficacy and Safety of Automated Closed-loop Ventilator vs Conventional Open-loop Ventilator in the Emergency Department

A Randomized, Controlled Trial to Evaluate the Efficacy and Safety of Fully Automated Closed-loop Ventilator Versus Conventional Open-loop Ventilator in Ventilated Patients in the Emergency Department

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06157073
Acronym
AVAC
Enrollment
132
Registered
2023-12-05
Start date
2024-01-01
Completion date
2025-12-31
Last updated
2023-12-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

ARDS, Mechanical Ventilation Complication, Ventilator-Induced Lung Injury, Ventilator Lung

Keywords

mechanical ventilation, closed loop ventilator, open loop ventilator, emergency department

Brief summary

Patients presenting to the emergency department (ED) may require breathing support with machines depending on the condition. Throughout the breathing support, the settings on the breathing machines will be tailored to the patient's requirements. These settings are manually adjusted by trained physicians. Currently, there are machines which can automatically change the settings based on real-time specific information obtained from the patient. This study aims to compare the use of machines which require manual adjustments (open-loop conventional ventilators) and machines which can automatically change the settings (closed-loop automated ventilators). Patients will be carefully selected to ensure no harm is caused whilst delivering the best care. This study will look into the duration when patients are receiving optimum settings and levels of oxygen and carbon dioxide in the blood. The outcomes of this study would allow us to identify methods to improve patient care.

Detailed description

Invasive mechanical ventilation is a lifesaving intervention for patients with respiratory failure in the emergency department (ED). Recent technological advancements have introduced closed-loop automated ventilators as a potential alternative to open-loop conventional ventilators. However, the efficacy and safety of closed-loop automated ventilators in the emergency setting remains understudied. This research aims to evaluate the efficacy and safety of closed-loop automated ventilator compared to open-loop conventional ventilator in intubated and ventilated patients in the ED. A randomized controlled trial will be conducted in an ED of a tertiary university-affiliated hospital. Eligible patients are 18 years or older, decision made by treating physicians to intubate and mechanically ventilate. Some of exclusion criteria are pregnancy, heart failure, metabolic acidosis, circulatory shock, life-threatening asthma and morbid obesity. The primary measure of efficacy is the duration of ventilation within a predefined range of acceptable respiratory parameters between automated and conventional ventilation. Secondary outcome measures are; number of manual adjustments required to attain targeted settings in automated and conventional ventilators, PaO2/FiO2 ratio (PF ratio), arterial blood gas results, vital signs, breath-by-breath analysis, and rate of ventilator dyssynchrony. The ventilator used in the intervention arm is the closed-loop automated ventilator Hamilton C6s INTELLIVENT-ASV (Hamilton Medical AG, Switzerland). Hamilton C1 ASV is chosen as the open-loop conventional comparator as it is similar to Hamilton C6s INTELLIVENT-ASV, without the INTELLIVENT software. Based on Lellouche et al, the calculated total sample size with a dropout rate of 10% is 132. The data is analysed based on the intention-to-treat (ITT) and per-protocol (PP) principles. The primary endpoint measurements are reported as areas under the curves (AUC) within the predefined range of acceptable respiratory parameters. Between-group differences in continuous variables are analysed using independent t-test or Mann-Whitney U test. Between-group differences in categorical variables are analysed using chi-square test.

Interventions

DEVICEClosed-loop ventilator

Fully automated closed-loop ventilator using the INTELLIVENT software

DEVICEOpen-loop ventilator

Conventional closed-loop ventilator with manual adjustments by the physician in charge

Sponsors

University of Malaya
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Intervention model description

Subjects who meet all criteria for enrolment will be randomized in a 1:1 allocation ratio to receive either open-loop ventilator (OLV) or closed-loop ventilator (CLV). Randomization will be stratified by the respiratory pathology present: normal lung, hypercapnic respiratory failure and decreased lung compliance. Randomization sequence will be generated using a web-based randomisation software.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Decision made by treating physicians to intubate and mechanically ventilate

Exclusion criteria

1. Suspected or confirmed pregnancy. 2. Known right ventricular heart failure upon assessment for recruitment. 3. Severe metabolic acidosis upon intubation (pH \<7.2 or bicarbonate \<12 mmol/L) 4. Circulatory shock requiring noradrenaline more than 0.5 mcg/kg/min upon assessment for recruitment. 5. Severe or acute life-threatening asthma. 6. Patients with chest wall deformities that would affect ventilation (e.g. severe kyphoscoliosis, diaphragmatic hernia, flail chest, trauma, pectus excavatum or carinatum, ankylosing spondylitis 7. Patients with previous lobectomy or pneumonectomy. 8. Patients with pneumothorax or other condition that requires chest drainage tube. 9. Patients with body mass index \> 40 kg/m2. 10. Manufacturer's contraindications: * Difference in oxygen saturation between pulse oximetry (SpO2) and arterial sample (SaO2) of more than 5% (due to unreliable sensor). * Difference in carbon dioxide level between end-tidal sensor (ETCO2) and arterial sample (PaCO2) of more than 5 mm Hg (due to unreliable sensor). * Known pneumothorax and bronchopulmonary fistula upon assessment for recruitment. 11. Participation in another interventional trial. 12. Do-not-attempt-resuscitation (DNAR) order.

Design outcomes

Primary

MeasureTime frameDescription
Duration of ventilation within a predefined range of acceptable respiratory parametersEvery 30 seconds for 240 minutesDuration of ventilation (in minutes) within predefined acceptable tidal volume (TV), plateau pressure, EtCO2 and SpO2

Secondary

MeasureTime frameDescription
Biochemical data - pHUpon intubation, at 1-hour, 2-hour, 3-hour and 4-hourArterial pH levels
Manual adjustments of ventilator settingsAny time the manual adjustment is performed throughout the 4-hour study periodFrequency of manual adjustments of ventilator settings and the parameters requiring adjustments
Physiological data - blood pressureMean hourly for 4 hoursPatient's blood pressure in mmHg
Physiological data - respiratory rateMean hourly for 4 hoursPatient's respiratory rate in breaths per minute
Biochemical data - CO2 and O2Upon intubation, at 1-hour, 2-hour, 3-hour and 4-hourArterial partial pressure of carbon dioxide and oxygen in mmHg
Biochemical data - bicarbonateUpon intubation, at 1-hour, 2-hour, 3-hour and 4-hourArterial bicarbonate levels in mmol/L
Patient outcome - mechanical ventilationAssessed from time of intubation to time of successful extubation or death from any cause, whichever came first, assessed up to 28 daysDuration of mechanical ventilation
Physiological data - heart rateMean hourly for 4 hoursPatient's heart rate in beats per minute
Patient outcome - LOS ICUAssessed from time of admission into the ICU to time of transfer to general ward or death, whichever comes first up to 28 daysLength of intensive care unit stay
Patient outcome - LOS hospitalAssessed from time of triage in ED to time of discharge or in-hospital death, whichever comes first up to 28 daysLength of hospital stay
Mortality rateAt 14 and 28 days after recruitmentNumber and percentage of deaths
Number of patients developing ARDS and pneumothoraxAt anytime within the 4-hour intervention or upon discharge or diagnosis of complicationsDevelopment of complications (pneumothorax, ARDS) during study and throughout admission
Ventilator data - airway pressuresEvery 30 seconds for 240 minutesVentilator parameters: mean and peak airway pressures in cmH20
Ventilator data - FiO2Every 30 seconds for 240 minutesVentilator parameters: fraction of inspired oxygen (FiO2)
Patient outcome - LOS EDAssessed from time of triage to time patient leaves ED or death, whichever comes first, up to 7 daysLength of stay in emergency department

Contacts

Primary ContactDr Muhaimin, MMed
muhaimin@um.edu.my+60173600157

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026