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Ventilator advisory system employing load and tolerance strategy recommends appropriate pressure support ventilation
Michael J Banner1, Neil R Euliano, Neil R Macintyre
1Department of Anesthesiology, University of Florida, College of Medicine, Gainesville, FL 32610, USA. MBanner@anest.ufl.edu
A new ventilator advisory system accurately guides pressure support ventilation (PSV) settings. This system, using a load-and-tolerance strategy, provides recommendations comparable to experienced physician intensivists.
Area of Science:
- Critical Care Medicine
- Respiratory Physiology
- Biomedical Engineering
Background:
- Evaluating respiratory failure requires considering respiratory muscle loads and tolerance.
- Pressure support ventilation (PSV) settings must balance muscle unloading.
- Current methods for setting PSV rely heavily on clinical judgment.
Purpose of the Study:
- To develop and validate a computerized advisory system for setting PSV.
- To utilize a fuzzy logic algorithm based on breathing power (POBn) and patient tolerance (f, Vt).
- To compare system recommendations with decisions made by intensivist physicians.
Main Methods:
- A multisite study involving 87 adult patients on PSV.
- Data collected via a combined pressure/flow sensor connected to the advisory system.
- System recommendations for PSV adjustments were compared to bedside physician decisions.
Main Results:
- The advisory system made 210 recommendations, with no significant difference compared to physician decisions.
- Physician intensivists agreed with 90.5% of the system's recommendations.
- The system accurately predicted intensivist decisions (r² = 0.90, p < 0.05).
Conclusions:
- A novel load-and-tolerance strategy in an advisory system offers valid PSV recommendations.
- The system's recommendations for unloading respiratory muscles are equivalent to expert clinical judgment.
- This technology has the potential to assist in optimizing PSV management.
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