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Using physiological models and decision theory for selecting appropriate ventilator settings.

S E Rees·C Allerød·D Murley·Y Zhao·B W Smith·S Kjaergaard·P Thorgaard·S Andreassen
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Abstract

OBJECTIVE: To present a decision support system for optimising mechanical ventilation in patients residing in the intensive care unit. METHODS: Mathematical models of oxygen transport, carbon dioxide transport and lung mechanics are combined with penalty functions describing clinical preference toward the goals and side-effects of mechanical ventilation in a decision theoretic approach. Penalties are quantified for risk of lung barotrauma, acidosis or alkalosis, oxygen toxicity or absorption atelectasis, and hypoxaemia. RESULTS: The system is presented with an example of its use in a post-surgical patient. The mathematical models describe the patient's data, and the system suggests an optimal ventilator strategy in line with clinical practice. CONCLUSIONS: The system illustrates how mathematical models combined with decision theory can aid in the difficult compromises necessary when deciding on ventilator settings.

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Carbon DioxideComputer SystemsDecision TheoryHumansMathematicsModels, BiologicalMonitoring, PhysiologicOxygenRespiration, ArtificialRespiratory MechanicsJournal ArticleResearch Support, Non-U.S. Gov't

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S E Rees, C Allerød, D Murley, Y Zhao, B W Smith, S Kjaergaard, P Thorgaard, S Andreassen. 2006-09-15. Using physiological models and decision theory for selecting appropriate ventilator settings.. https://doi.org/10.1007/s10877-006-9049-5

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