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A computational cardiopulmonary physiology simulator accurately predicts individual patient responses to changes in mechanical ventilator settings
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Mistry, Sonal, Brook, Bindi S., Saffaran, Sina, Chikhani, Marc, Hannon, David M., Laffey, John G., Scott, Tim E., Camporota, Luigi, Hardman, Jonathan G. and Bates, Declan G. (2022) A computational cardiopulmonary physiology simulator accurately predicts individual patient responses to changes in mechanical ventilator settings. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, Scotland, United Kingdom, 11-15 Jul 2022 ISBN 9781728127828. doi:10.1109/embc48229.2022.9871182 ISSN 2694-0604.
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Official URL: https://doi.org/10.1109/embc48229.2022.9871182
Abstract
We present new results validating the capability of a high-fidelity computational simulator to accurately predict the responses of individual patients with acute respiratory distress syndrome to changes in mechanical ventilator settings. 26 pairs of data-points comprising arterial blood gasses collected before and after changes in inspiratory pressure, PEEP, FiO 2 , and I:E ratio from six mechanically ventilated patients were used for this study. Parallelized global optimization algorithms running on a high-performance computing cluster were used to match the simulator to each initial data point. Mean absolute percentage errors between the simulator predicted values of PaO 2 and PaCO 2 and the patient data after changing ventilator parameters were 10.3% and 12.6%, respectively. Decreasing the complexity of the simulator by reducing the number of independent alveolar compartments reduced the accuracy of its predictions. Clinical Relevance— These results provide further evidence that our computational simulator can accurately reproduce patient responses to mechanical ventilation, highlighting its usefulness as a clinical research tool.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
| SWORD Depositor: | Library Publications Router | ||||
| Publisher: | IEEE | ||||
| ISBN: | 9781728127828 | ||||
| ISSN: | 2694-0604 | ||||
| Official Date: | 8 September 2022 | ||||
| Dates: |
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| DOI: | 10.1109/embc48229.2022.9871182 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Glasgow, Scotland, United Kingdom | ||||
| Date(s) of Event: | 11-15 Jul 2022 |
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