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Related Experiment Videos

The AVL-mode: a safe closed loop algorithm for ventilation during total intravenous anesthesia

N Weiler1, W Heinrichs, W Kessler

  • 1Clinic of Anesthesiology, Johannes Gutenberg-University, Mainz, Germany.

International Journal of Clinical Monitoring and Computing
|May 1, 1994
PubMed
Summary
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The Adaptive Lung Ventilation Controller (ALV-Controller) offers closed-loop ventilation, adapting breath-by-breath to patient lung mechanics. This new approach minimizes work of breathing and prevents intrinsic PEEP, showing promising clinical results.

Area of Science:

  • Medical Technology
  • Respiratory Care
  • Intensive Care Medicine

Background:

  • Mechanical ventilation requires precise control to optimize patient outcomes.
  • Current ventilation modes may not fully adapt to individual patient lung mechanics, potentially increasing work of breathing or causing complications like intrinsic PEEP.
  • Closed-loop control systems offer potential for more personalized and adaptive respiratory support.

Purpose of the Study:

  • To evaluate the efficacy and safety of a novel Adaptive Lung Ventilation Controller (ALV-Controller) in patients undergoing major abdominal procedures.
  • To assess the ALV-Controller's ability to minimize work of breathing, maintain preset alveolar ventilation, and prevent intrinsic PEEP.
  • To determine the controller's accuracy and stability in adapting to individual patient lung mechanics.

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Main Methods:

  • The study utilized a pressure-controlled ventilation mode with the ALV-Controller in 5 patients undergoing major abdominal surgery.
  • The controller automatically adjusted breathing patterns (respiratory rate, tidal volume, inspiratory pressure) breath-by-breath.
  • Key parameters including alveolar ventilation, dead space, respiratory time constant, and I:E ratios were monitored. Rise times after ventilation changes and controller accuracy were assessed.

Main Results:

  • The ALV-Controller was well-tolerated in all patients, with preset alveolar ventilation maintained within the target range (5500-6500 ml/min).
  • The system successfully avoided intrinsic PEEP by ensuring sufficient expiratory time.
  • Controller accuracy was high (mean difference of 27.8 ml between preset and applied alveolar ventilation), and stability was sufficient for clinical use. Breathing patterns adapted well to patient lung mechanics.

Conclusions:

  • The ALV-Controller represents a viable new approach to closed-loop mechanical ventilation.
  • The controller effectively adapted breathing patterns to individual patient lung mechanics, optimizing ventilation parameters.
  • This preliminary study suggests the ALV-Controller can safely and effectively minimize work of breathing and prevent intrinsic PEEP in a clinical setting.