ArticleJournal of applied physiology (Bethesda, Md. : 1985)2019
Using injury cost functions from a predictive single-compartment model to assess the severity of mechanical ventilator-induced lung injuries.
Article in Journal of applied physiology (Bethesda, Md. : 1985), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Computer model-based injury prediction and evaluation of lung function in mice with acute and ventilator-induced lung injuries.American journal of physiology. Lung cellular and molecular physiology · 2025Article
- Dynamic driving pressure predicts ventilator-induced lung injury in mice with and without endotoxin-induced acute lung injury.American journal of physiology. Lung cellular and molecular physiology · 2025Article
- Hypothesis-driven modeling of the human lung-ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research.Journal of biomedical informatics · 2023Article
- Differential effects of two-hit models of acute and ventilator-induced lung injury on lung structure, function, and inflammation.Frontiers in physiology · 2023Article
- Ventilator-induced lung-injury in mouse models: Is there a trap?Laboratory animal research · 2021Review
- A Damaged-Informed Lung Ventilator Model for Ventilator Waveforms.Frontiers in physiology · 2021Article
- Three Alveolar Phenotypes Govern Lung Function in Murine Ventilator-Induced Lung Injury.Frontiers in physiology · 2020Article
- Strain, strain rate, and mechanical power: An optimization comparison for oscillatory ventilation.International journal for numerical methods in biomedical engineering · 2019Article
- Ventilator dyssynchrony - Detection, pathophysiology, and clinical relevance: A Narrative review.Annals of thoracic medicineReview
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Identifying safe ventilation patterns for patients with acute respiratory distress syndrome remains challenging because of the delicate balance between gas exchange and selection of ventilator settings to prevent further ventilator-induced lung injury (VILI). Accordingly, this work seeks to link ventilator settings to graded levels of VILI to identify injury cost functions that predict injury by using a computational model to process pressures and flows measured at the airway opening. Pressure-volume loops were acquired over the course of ~2 h of mechanical ventilation in four different groups of BALB/c mice. A cohort of these animals were subjected to an injurious bronchoalveolar lavage before ventilation. The data were analyzed with a single-compartment model that predicts recruitment/derecruitment and tissue distension at each time step in measured pressure-volume loops. We compared several injury cost functions to markers of VILI-induced blood-gas barrier disruption. Of the cost functions considered, we conclude that mechanical power dissipation and strain heterogeneity are the best at distinguishing between graded levels of injury and are good candidates for forecasting the development of VILI.
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Registered trials
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