Computer model-based injury prediction and evaluation of lung function in mice with acute and ventilator-induced lung injuries

Invasive mechanical ventilation is a lifesaving intervention for patients with acute respiratory distress syndrome (ARDS) but it also causes ventilator-induced lung injury (VILI) that can be challenging to avoid due to interpatient and temporal heterogeneity. Thus, the aim of this study was to characterize and predict experimental VILI using readily available measures of lung function. Initially healthy (CTL) and hydrochloric acid (HCL) lung-injured mice were ventilated for 4 h at positive end-expiratory pressure (PEEP) 1, 3, or 8 cmH<sub>2</sub>O to produce graded VILI severity as measured in lung function, alveolocapillary leak, and inflammation. Optimally protective PEEP was found to be 8 and 3 cmH<sub>2</sub>O in the HCL and CTL groups, respectively. A novel computational model was fit to the data to investigate elastance dynamics described by the "compliance factor" (C<sub>F</sub>), which was also used to predict VILI over 4 subsequent hours of ventilation. The model C<sub>F</sub> is a sensitive measure of injury-induced alterations in the pressure and pressure history dependence of lung elastance that are known to correlate with recruitment and derecruitment dynamics. The C<sub>F</sub> was then combined with PEEP and plateau pressures calculated from 10 min at the start of prolonged ventilation and used to accurately predict VILI outcomes measured 4 h later. This model outperformed other commonly used measures of injury such as driving pressure and mechanical power. The computer model provides a new tool for understanding lung dynamics and for predicting VILI. In future work, this approach could be used to guide identification of lung-protective ventilation settings.<b>NEW & NOTEWORTHY</b> Computer model-based analysis of lung function in healthy and lung-injured mice showed that model compliance factor (C<sub>F</sub>) characteristics were sensitive measures of acute lung injury and ventilator-induced lung injury (VILI) severity. The [Formula: see text] Area, calculated from C<sub>F</sub> and pressures from <i>minutes 5-15</i> of ventilation, was a stronger predictor of VILI measured 4 h later than the driving pressure or mechanical power, suggesting potential utility for monitoring ventilation safety and guiding ventilator adjustments to reduce VILI.

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Publication Details

Journal
American Journal of Physiology-Lung Cellular and Molecular Physiology
Published
2025-09-28
DOI
https://doi.org/10.1152/ajplung.00248.2025
Primary Topic
Respiratory Support and Mechanisms
Type
article
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article

Computer model-based injury prediction and evaluation of lung function in mice with acute and ventilator-induced lung injuries

Peter D. Sottile, Alexander Sosa, David J. Albers, Bradford J. Smith et al.
American Journal of Physiology-Lung Cellular and Molecular Physiology
Respiratory Support and Mechanisms
article

Computer model-based injury prediction and evaluation of lung function in mice with acute and ventilator-induced lung injuries

Peter D. Sottile, Alexander Sosa, David J. Albers, Bradford J. Smith, Edward M. Kaye, K Warner
article en

Abstract

Invasive mechanical ventilation is a lifesaving intervention for patients with acute respiratory distress syndrome (ARDS) but it also causes ventilator-induced lung injury (VILI) that can be challenging to avoid due to interpatient and temporal heterogeneity. Thus, the aim of this study was to characterize and predict experimental VILI using readily available measures of lung function. Initially healthy (CTL) and hydrochloric acid (HCL) lung-injured mice were ventilated for 4 h at positive end-expiratory pressure (PEEP) 1, 3, or 8 cmH<sub>2</sub>O to produce graded VILI severity as measured in lung function, alveolocapillary leak, and inflammation. Optimally protective PEEP was found to be 8 and 3 cmH<sub>2</sub>O in the HCL and CTL groups, respectively. A novel computational model was fit to the data to investigate elastance dynamics described by the "compliance factor" (C<sub>F</sub>), which was also used to predict VILI over 4 subsequent hours of ventilation. The model C<sub>F</sub> is a sensitive measure of injury-induced alterations in the pressure and pressure history dependence of lung elastance that are known to correlate with recruitment and derecruitment dynamics. The C<sub>F</sub> was then combined with PEEP and plateau pressures calculated from 10 min at the start of prolonged ventilation and used to accurately predict VILI outcomes measured 4 h later. This model outperformed other commonly used measures of injury such as driving pressure and mechanical power. The computer model provides a new tool for understanding lung dynamics and for predicting VILI. In future work, this approach could be used to guide identification of lung-protective ventilation settings.<b>NEW & NOTEWORTHY</b> Computer model-based analysis of lung function in healthy and lung-injured mice showed that model compliance factor (C<sub>F</sub>) characteristics were sensitive measures of acute lung injury and ventilator-induced lung injury (VILI) severity. The [Formula: see text] Area, calculated from C<sub>F</sub> and pressures from <i>minutes 5-15</i> of ventilation, was a stronger predictor of VILI measured 4 h later than the driving pressure or mechanical power, suggesting potential utility for monitoring ventilation safety and guiding ventilator adjustments to reduce VILI.

American Journal of Physiology-Lung Cellular and Molecular PhysiologyVol. 329(5)
University of Colorado Anschutz Medical Campus (US), University of Colorado Denver (US)
Openalex Percentile: Top 62%
Respiratory Support and Mechanisms
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