Sugo Yoshihiro, Ukawa Teiji, Takeda Sunao, Ishihara Hironori, Kazama Tomiei, Takeda Junzo
Nihon Kohden Corp., 1-31-4 Nishi-Ochiai, Shinjuku-ku, Tokyo, Japan.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2853-6. doi: 10.1109/IEMBS.2010.5626343.
Monitoring cardiac output (CO) is important for the management of patient circulation in an operation room (OR) or intensive care unit (ICU). We assumed that the change in pulse wave transit time (PWTT) obtained from an electrocardiogram (ECG) and a pulse oximeter wave is correlated with the change in stroke volume (SV), from which CO is derived. The present study reports the verification of this hypothesis using a hemodynamic analysis theory and animal study. PWTT consists of a pre-ejection period (PEP), the pulse transit time through an elasticity artery (T(1)), and the pulse transit time through peripheral resistance arteries (T(2)). We assumed a consistent negative correlation between PWTT and SV under all conditions of varying circulatory dynamics. The equation for calculating SV from PWTT was derived based on the following procedures. 1. Approximating SV using a linear equation of PWTT. 2. The slope and y-intercept of the above equation were determined under consideration of vessel compliance (SV was divided by Pulse Pressure (PP)), animal type, and the inherent relationship between PP and PWTT. Animal study was performed to verify the above-mentioned assumption. The correlation coefficient of PWTT and SV became r = -0.710 (p 〈 0.001), and a good correlation was admitted. It has been confirmed that accurate continuous CO and SV measurement is only possible by monitoring regular clinical parameters (ECG, SpO2, and NIBP).
监测心输出量(CO)对于手术室(OR)或重症监护病房(ICU)中患者循环系统的管理至关重要。我们假设,从心电图(ECG)和脉搏血氧饱和度波形获得的脉搏波传播时间(PWTT)变化与心搏量(SV)变化相关,而心输出量是由心搏量推导得出的。本研究报告了使用血流动力学分析理论和动物研究对这一假设的验证。PWTT由射血前期(PEP)、脉搏通过弹性动脉的传播时间(T(1))以及脉搏通过外周阻力动脉的传播时间(T(2))组成。我们假设在循环动力学变化的所有条件下,PWTT与SV之间存在一致的负相关。根据以下步骤推导出了从PWTT计算SV的公式。1. 使用PWTT的线性方程近似SV。2. 在考虑血管顺应性(SV除以脉压(PP))、动物类型以及PP与PWTT之间的内在关系的情况下,确定上述方程的斜率和y轴截距。进行动物研究以验证上述假设。PWTT与SV的相关系数为r = -0.710(p 〈 0.001),表明存在良好的相关性。已经证实,只有通过监测常规临床参数(ECG、SpO2和NIBP)才能准确连续地测量CO和SV。