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Published on: September 6, 2024
Patient-ventilator synchrony under non-invasive ventilation is improved by an automated real time waveform analysis
Yann Renaud1,2, Jocelyne Auroi3,4, Davy Cabrio5,3
1Adult Intensive Care Unit, Lausanne University Hospital, Lausanne, Switzerland. yann.renaud@chuv.ch.
IntelliSync+ software improves patient-ventilator synchrony during non-invasive ventilation (NIV) with leaks. This automated system enhances inspiratory and expiratory timing, especially with high pressure support and challenging respiratory mechanics.
Area of Science:
- Respiratory Mechanics
- Mechanical Ventilation
- Biomedical Engineering
Background:
- Patient-ventilator asynchrony is a challenge in non-invasive ventilation (NIV) due to inherent leaks.
- IntelliSync+ software analyzes airway curves to detect breathing transitions and improve synchrony.
Purpose of the Study:
- Evaluate the impact of IntelliSync+ on synchrony during NIV with simulated leaks (9 and 20 L/min).
- Assess performance across normal, obstructive, and restrictive respiratory mechanics at different pressure support levels (PS 8 and 14 cmH2O).
Main Methods:
- Bench study using a ventilator circuit without a face mask.
- Measured time to trigger (Td) and expiratory termination (Tiex).
- Assessed classical asynchronies and ventilator pressurization capacity.
Main Results:
- IntelliSync+ improved expiratory termination (Tiex) and, to a lesser extent, inspiratory trigger time (Td) compared to classical NIV mode.
- A trend towards reduced asynchronies was observed, particularly after sudden leak increases.
- Improvements were most significant with high PS levels and pathological respiratory mechanics (obstructive and restrictive).
Conclusions:
- IntelliSync+ enhances both expiratory and inspiratory synchrony in NIV with leaks.
- The system demonstrates particular efficacy in obstructive/restrictive models and high-pressure support scenarios.
- Pre-clinical data support IntelliSync+'s potential to improve NIV patient-ventilator synchrony and warrant clinical evaluation.
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