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

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 cmH₂O to produce graded VILI severity as measured in lung function, alveolocapillary leak, and inflammation. Optimally protective PEEP was found to be 8 and 3 cmH₂O 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_F), which was also used to predict VILI over 4 subsequent hours of ventilation. The model C_F 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_F 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.NEW & NOTEWORTHY Computer model-based analysis of lung function in healthy and lung-injured mice showed that model compliance factor (C_F) characteristics were sensitive measures of acute lung injury and ventilator-induced lung injury (VILI) severity. The [Formula: see text] Area, calculated from C_F and pressures from minutes 5-15 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.