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Real-Time, Minimally Invasive, Beat-to-Beat Estimation of End-Systolic Volume Using a Modified End-Systolic Pressure-Volume Relation

机译:使用修改后的收缩末期压力-容积关系实时,微创地逐次评估收缩末期容积

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Intensive care management of cardiovascular disease and dysfunction, a major and growing issue, would benefit from improved synthesis of continuously monitored, information rich catheter waveforms into clear, relevant cardiac metrics. Volume measurements are rarely taken in intensive care, but advances have been made in approximating cardiac stroke volume using pressure measurements. This paper proposes a method for the minimally invasive, real-time, beat-to-beat estimation of end-systolic volume, with the goal of providing further insight into cardiac volume behavior and access to important metrics such as cardiac preload. This method relies on a modified end-systolic pressure-volume relation, aortic pressure and heart rate data and a brief echocardiography calibration. The method was validated across 11 pigs and 2 protocols, encompassing the progression of sepsis and a variety clinical procedures employed in the management of sepsis. The method demonstrated consistently strong correlation coefficients, with a mean of R = 0.82, and low estimation error, with a mean absolute percentage error of 13.3%. This method thus allows effective estimation of end-systolic volume, providing a more complete picture of cardiac behavior in an intensive care environment in which volume measurements are rarely taken. As such, the method has the potential to benefit clinical decision making and management of cardiovascular disease and dysfunction.
机译:心血管疾病和功能障碍的重症监护管理(一个日益严重的主要问题)将受益于将不断监测的,信息丰富的导管波形合成为清晰,相关的心脏指标的改进方法。在重症监护室很少进行体积测量,但是在使用压力测量来估算心脏搏动量方面已经取得了进展。本文提出了一种用于微创,实时,逐次心律失常估计收缩末期容积的方法,其目的是提供对心脏容积行为的进一步了解以及对重要指标(例如心脏预紧力)的访问。该方法依赖于改良的收缩末期压力-容积关系,主动脉压力和心率数据以及简短的超声心动图校准。该方法已在11头猪和2种方案中得到验证,包括脓毒症的进展以及脓毒症管理中采用的多种临床程序。该方法显示出始终如一的强相关系数,平均R = 0.82,估计误差低,平均绝对百分比误差为13.3%。因此,该方法允许有效估计收缩末期容积,从而在重症监护环境中(几乎不进行容积测量)提供更完整的心脏行为图。这样,该方法具有有益于心血管疾病和功能障碍的临床决策和管理的潜力。

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