Practical assessment of risk of VILI from ventilating power: a conceptual model
Javier Amador-Casta?eda, BHS, RRT, FCCM
| Respiratory Care Practitioner | Author | Speaker | Veteran | ESICM Representative, North America
Marini, J.J., Thornton, L.T., Rocco, P.R.M. et al. Practical assessment of risk of VILI from ventilating power: a conceptual model. Crit Care 27, 157 (2023). https://doi.org/10.1186/s13054-023-04406-9
Abstract
This article introduces a conceptual model aimed at assessing the risk of Ventilator-Induced Lung Injury (VILI) using parameters readily available at the bedside. It emphasizes the importance of understanding the energy dynamics involved in mechanical ventilation, particularly focusing on the concept of 'mechanical power' and 'damaging energy per cycle'. The model proposes using static circuit pressures and an estimate of the maximally tolerated non-dissipated airway pressure to gauge the potential hazard of delivered energy. This approach seeks to improve the comprehension of key factors involved in lung protective ventilation, making it a valuable tool for clinicians.
Introduction
The management of Acute Respiratory Distress Syndrome (ARDS) through mechanical ventilation requires careful consideration to avoid VILI. Current strategies focus on limiting tidal volumes and pressures; however, these parameters alone may not fully capture the risk of lung injury. The concept of 'mechanical power', which accounts for the energy dissipated and conserved during ventilation, offers a more comprehensive view but still lacks precision in guiding ventilatory practices. This paper builds on the idea of 'damaging energy per cycle', proposing a simplified mathematical model to help clinicians assess the risk of VILI more effectively.
Model Overview
The model suggests that the risk of VILI can be assessed by considering the energy dynamics of each ventilation cycle, specifically focusing on the 'elastic' energy components related to volume changes. By estimating a threshold for maximally tolerated non-dissipated airway pressure, clinicians can partition the total intracycle energy into 'safe' and 'hazardous' components. This approach allows for a more nuanced understanding of how different ventilatory settings might contribute to lung injury.
Key Concepts
Clinical Application
The model provides a framework for estimating the 'safe' and 'hazardous' portions of elastic energy delivered during mechanical ventilation. By adjusting tidal volume, driving pressure, and PEEP based on this assessment, clinicians can tailor ventilation strategies to minimize the risk of VILI. The model emphasizes the importance of considering both the static pressures measured at the airway opening and the underlying energy dynamics to guide lung protective ventilation.
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Limitations and Future Directions
While the model offers a conceptual tool for understanding the energetics of VILI, it acknowledges the limitations of using airway pressures as proxies for tissue stresses and strains. Future refinements of the model could incorporate more precise measurements and account for the complex interplay of factors that influence VILI risk, including alveolar geometry, flow patterns, and vascular pressures.
Conclusion
This conceptual model represents a step forward in the effort to integrate key factors involved in lung protective ventilation. By focusing on the energy dynamics of mechanical ventilation, it provides clinicians with a potentially valuable tool for assessing and mitigating the risk of VILI. Further research and refinement of the model are needed to enhance its clinical utility and precision.
Watch this video on "How to normalize the mechanical power" by Luciano Gattinoni ISICEM 2023
Discussion Questions
Respiratory Therapist
9 个月Having worked with Marini, the concept theory proposition here for damaging energy and power can’t be fully taken in consideration until you have electrical impedance tomography align with it. Let’s say for example the power and energy are very high, is it one lung or both? What if one lung is collapse and the clinician is not able to see this, one will assume the whole lung is at risk, vs one lung. EIT can tell you all zones. Leading to clinical judgment to trail other interventions first to balance ventilation. If one fully recruits the lungs, using the PV tool, then these measurements, with a correlation to lung CT, I think there is a chance to have better data, but it would be nice to compare with EIT.