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.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
132
Fully automated closed-loop ventilator using the INTELLIVENT software
Conventional closed-loop ventilator with manual adjustments by the physician in charge
Duration of ventilation within a predefined range of acceptable respiratory parameters
Duration of ventilation (in minutes) within predefined acceptable tidal volume (TV), plateau pressure, EtCO2 and SpO2
Time frame: Every 30 seconds for 240 minutes
Manual adjustments of ventilator settings
Frequency of manual adjustments of ventilator settings and the parameters requiring adjustments
Time frame: Any time the manual adjustment is performed throughout the 4-hour study period
Physiological data - blood pressure
Patient's blood pressure in mmHg
Time frame: Mean hourly for 4 hours
Physiological data - respiratory rate
Patient's respiratory rate in breaths per minute
Time frame: Mean hourly for 4 hours
Physiological data - heart rate
Patient's heart rate in beats per minute
Time frame: Mean hourly for 4 hours
Biochemical data - pH
Arterial pH levels
Time frame: Upon intubation, at 1-hour, 2-hour, 3-hour and 4-hour
Biochemical data - CO2 and O2
Arterial partial pressure of carbon dioxide and oxygen in mmHg
Time frame: Upon intubation, at 1-hour, 2-hour, 3-hour and 4-hour
Biochemical data - bicarbonate
Arterial bicarbonate levels in mmol/L
Time frame: Upon intubation, at 1-hour, 2-hour, 3-hour and 4-hour
Patient outcome - mechanical ventilation
Duration of mechanical ventilation
Time frame: Assessed from time of intubation to time of successful extubation or death from any cause, whichever came first, assessed up to 28 days
Patient outcome - LOS ED
Length of stay in emergency department
Time frame: Assessed from time of triage to time patient leaves ED or death, whichever comes first, up to 7 days
Patient outcome - LOS ICU
Length of intensive care unit stay
Time frame: Assessed from time of admission into the ICU to time of transfer to general ward or death, whichever comes first up to 28 days
Patient outcome - LOS hospital
Length of hospital stay
Time frame: Assessed from time of triage in ED to time of discharge or in-hospital death, whichever comes first up to 28 days
Mortality rate
Number and percentage of deaths
Time frame: At 14 and 28 days after recruitment
Number of patients developing ARDS and pneumothorax
Development of complications (pneumothorax, ARDS) during study and throughout admission
Time frame: At anytime within the 4-hour intervention or upon discharge or diagnosis of complications
Ventilator data - airway pressures
Ventilator parameters: mean and peak airway pressures in cmH20
Time frame: Every 30 seconds for 240 minutes
Ventilator data - FiO2
Ventilator parameters: fraction of inspired oxygen (FiO2)
Time frame: Every 30 seconds for 240 minutes
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