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Pilot study of model-based estimation of inspiratory driving pressure in CPAP ventilation

机译:CPAP通风模型基于模型估算的试验研究

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Models of lung elastance, airway resistance, and patient work of breathing have been successfully applied to invasive mechanical ventilation data. Non-invasive mechanical ventilation data, including continuous positive airway pressure (CPAP), has presented challenges in predicting inspiratory driving pressure due to the combination of patient and device work. The model applied in this paper utilizes second order b-splines to describe inspiratory driving pressure. The model provided an accurate fit to the data, with an average root-mean-squared (RMS) error in model fit of 0.6 [0.425 – 0.675] cmH2O (median [lower quartile (LQ), upper quartile (UQ)]). Subject fit expiratory elastances were between 3.1 and 10.2 cmH2O/L and showed no correlation to set positive end-expiratory pressure (PEEP). Inspiratory driving pressure profiles approximated literature and work of breathing was shown to remain consistent between PEEP levels. Outlying data is hypothesized to be caused by subjects’ expiratory effort which was assumed negligible in the model. Further application of this model alongside validation data would provide more information on this and provide more evidence of model accuracy.
机译:肺部弹性,呼吸抵抗和患者呼吸工作的模型已成功应用于侵入机械通气数据。包括连续正气道压力(CPAP)的非侵入式机械通气数据在预测患者和器件工作的组合引起的预测吸气驱动压力方面具有挑战。本文应用的模型利用二阶B样条来描述吸气的驱动压力。该模型提供了对数据的精确拟合,其模型配合的平均根平均平方(RMS)误差为0.6 [0.425-0.675] CMH2O(中位数[低四分位数(LQ),上四分位数(UQ)))。受试者适合呼气弹性在3.1和10.2cmH2O / L之间,并且没有表明设定正末端呼气压力(PEEP)。吸气的驾驶压力分布近似文学和呼吸作用被证明在窥视水平之间保持一致。偏远的数据被假设是由受试者的呼气努力引起的,这在模型中被假定可以忽略不计。此模型的进一步应用与验证数据一起提供更多信息,并提供更具模型精度的证据。

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