A computational cardiopulmonary physiology simulator accurately predicts individual patient responses to changes in mechanical ventilator settings.
A computational cardiopulmonary physiology simulator accurately predicts individual patient responses to changes in mechanical ventilator settings.
复制标题
计算心肺生理学模拟器可以准确预测个体患者对机械呼吸机设置变化的反应。
DOI：
10.1109/embc48229.2022.9871182
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Mistry S
中科院分区：
文献类型：
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作者：
Mistry S
我们提供的新结果证实了高保真计算模拟器能够准确预测急性呼吸窘迫综合征患者对机械呼吸机设置变化的反应。收集6例机械通气患者吸气压、PEEP、FiO2、I/E比值变化前后的动脉血气数据26对。在高性能计算集群上运行的并行全局优化算法被用于将模拟器与每个初始数据点进行匹配。改变呼吸机参数后，模拟器预测的PaO2和PaCO2与患者数据的平均绝对百分比误差分别为10.3%和12.6%。通过减少独立肺泡室的数量来降低模拟器的复杂性，降低了其预测的准确性。临床相关性-这些结果进一步证明，我们的计算模拟器可以准确地再现患者对机械通气的反应，突出了其作为临床研究工具的实用性。
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, FiO2, 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 PaO2and PaCO2and 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.