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床边应用生理学以推动复苏算法。

Applied physiology at the bedside to drive resuscitation algorithms.

作者信息

Holder Andre L, Pinsky Michael R

机构信息

Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.

Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.

出版信息

J Cardiothorac Vasc Anesth. 2014 Dec;28(6):1642-59. doi: 10.1053/j.jvca.2014.07.005.

Abstract

Hemodynamic instability is associated with significant morbidity and mortality. Goal-directed therapeutic algorithms have been used in various clinical settings to reverse or prevent organ damage and death that could occur with a low oxygen delivery state. Most current resuscitative algorithms use static physiologic measures to determine if a patient will respond to proven therapies. While static parameters are useful in identifying the potential for clinical instability, they cannot tell us how patients will respond to an intervention. Applied physiology, through the use of functional hemodynamic monitoring can predict the body's reaction to therapy because they are based on cardiovascular dynamics. A growing body of evidence supports the use of applied physiologic principles in goal directed therapeutic algorithms for appropriate and effective resuscitation/optimization. Over time, applied physiology should be incorporated into standardized protocol-driven care to improve outcomes in patients experiencing, or at risk for hemodynamic instability.

摘要

血流动力学不稳定与显著的发病率和死亡率相关。目标导向治疗算法已在各种临床环境中用于逆转或预防低氧输送状态下可能发生的器官损伤和死亡。当前大多数复苏算法使用静态生理指标来确定患者是否会对已证实的治疗产生反应。虽然静态参数有助于识别临床不稳定的可能性,但它们无法告诉我们患者对干预措施会有怎样的反应。应用生理学通过使用功能性血流动力学监测能够预测身体对治疗的反应,因为它们基于心血管动力学。越来越多的证据支持在目标导向治疗算法中应用生理原理以进行恰当且有效的复苏/优化。随着时间的推移,应用生理学应纳入标准化的协议驱动护理中,以改善血流动力学不稳定患者或有血流动力学不稳定风险患者的预后。

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