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首页> 外文期刊>Journal of clinical monitoring and computing >A modified breathing pattern improves the performance of a continuous capnodynamic method for estimation of effective pulmonary blood flow
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A modified breathing pattern improves the performance of a continuous capnodynamic method for estimation of effective pulmonary blood flow

机译:改进的呼吸模式改善了连续谱中动力学方法来估计有效肺血流量的性能

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摘要

In a previous study a new capnodynamic method for estimation of effective pulmonary blood flow (COEPBF) presented a good trending ability but a poor agreement with a reference cardiac output (CO) measurement at high levels of PEEP. In this study we aimed at evaluating the agreement and trending ability of a modified COEPBF algorithm that uses expiratory instead of inspiratory holds during CO and ventilatory manipulations. COEPBF was evaluated in a porcine model at different PEEP levels, tidal volumes and CO manipulations (N = 8). An ultrasonic flow probe placed around the pulmonary trunk was used for CO measurement. We tested the COEPBF algorithm using a modified breathing pattern that introduces cyclic end-expiratory time pauses. The subsequent changes in mean alveolar fraction of carbon dioxide were integrated into a capnodynamic equation and effective pulmonary blood flow, i.e. non-shunted CO, was calculated continuously breath by breath. The overall agreement between COEPBF and the reference method during all interventions was good with bias (limits of agreement) 0.05 (-1.1 to 1.2) L/min and percentage error of 36 %. The overall trending ability as assessed by the four-quadrant and the polar plot methodology was high with a concordance rate of 93 and 94 % respectively. The mean polar angle was 0.4 (95 % CI -3.7 to 4.5)A degrees. A ventilatory pattern recurrently introducing end-expiratory pauses maintains a good agreement between COEPBF and the reference CO method while preserving its trending ability during CO and ventilatory alterations.
机译:在先前的研究中,一种估计有效肺血流(COEPBF)的新型曲率动力学方法呈现出良好的培训能力,但在高水平的窥视下与参考心输出(CO)测量差的差。在这项研究中,我们旨在评估改进的CoEPBF算法的协议和培训能力,该算法在CO和通风操作期间使用呼气而不是吸气持有的算法。 CoEPBF在不同窥视水平,潮汐卷和CO操纵下的猪模型中评估(n = 8)。放置在肺动脉内部的超声波流量探针用于CO测量。我们使用改进的呼吸模式测试了CoEPBF算法,这些呼吸模式引入了循环端呼气时间暂停。将二氧化碳的平均肺泡分数的随后的变化整合到骨动力学方程和有效的肺血流中,即不分成的CO,通过呼吸连续呼吸。在所有干预过程中CoEPBF和参考方法之间的总体协议良好(协议的限制)0.05(-1.1至1.2)L / min和百分比误差为36%。四象限和极性地块方法评估的整体趋势能力分别为93%和94%的高率。平均极直角为0.4(95%CI -3.7至4.5)度。透气模式循环引入终端呼吸暂停暂停,在COEPBF和参考CO方法之间保持良好的一致性,同时在CO和通气改变期间保持其培训能力。

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