Assessing mechanical ventilation asynchrony through iterative airway pressure reconstruction.

Area of Science:

• Critical care medicine
• Respiratory physiology
• Biomedical engineering

Background:

• Mechanical ventilation (MV) guides respiratory support but is hindered by asynchronous breathing.
• Asynchrony during MV is often unmonitored, with unknown impacts on patient recovery.
• Accurate monitoring and quantification of asynchronous breathing are crucial for effective ventilation.

Purpose of the Study:

• To develop and validate an automated method for monitoring and quantifying asynchronous breathing during MV.
• To improve the accuracy of respiratory mechanics estimation in the presence of breathing asynchrony.
• To overcome limitations of current model-based respiratory mechanics estimation during asynchronous ventilation.

Main Methods:

• An iterative airway pressure reconstruction (IPR) method was employed to reconstruct asynchronous airway pressure waveforms.
• A single compartment model was used to match reconstructed waveforms to passive breathing patterns.
• The method enabled real-time, breath-to-breath monitoring and quantification of asynchrony magnitude (M_Asyn).

Main Results:

• The IPR method successfully reconstructed various types of asynchronous breathing patterns from over 100,000 breathing cycles.
• Respiratory mechanics estimated using reconstructed pressure showed improved consistency (smaller IQR) compared to estimates from asynchronous pressure.
• The median asynchrony magnitude (M_Asyn) across the dataset was 3.8%.

Conclusions:

• The iterative pressure reconstruction method effectively identifies asynchronous breaths and enhances respiratory mechanics estimation consistency.
• This approach enables automated, real-time quantification of asynchronous breathing frequency and magnitude.
• It offers a non-invasive alternative to previously invasive methods for assessing breathing asynchrony during MV.