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五种从动脉波形计算心输出量的算法:与多普勒超声的比较。

Five algorithms that calculate cardiac output from the arterial waveform: a comparison with Doppler ultrasound.

机构信息

Department of Anesthesiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Department of Anaesthesia and Intensive Care, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR

出版信息

Br J Anaesth. 2015 Sep;115(3):392-402. doi: 10.1093/bja/aev254. Epub 2015 Aug 4.

Abstract

BACKGROUND

Different mathematical approaches are used to calculate arterial pulse pressure wave analysis (PPWA) cardiac output. The CardioQ-Combi is a research oesophageal Doppler (COODM) monitor that includes these five fundamental PPWA algorithms. We compared these PPWA cardiac output readings to COODM and suprasternal USCOM Doppler (COUS) over a range of cardiac output values induced by dopamine infusion in patients undergoing major surgery. USCOM acted as a control.

METHODS

Serial sets of cardiac output data were recorded at regular intervals as cardiac output increased. Formulae included: cardiac output calculated form systemic vascular resistance (COMAP), pulse pressure (COPP), Liljestrand-Zander formula (COLZ), alternating current power (COAC) and systolic area with Kouchoukos correction (COSA). The reference method for comparisons was COODM. Statistical methods included: Scatter plots (correlation), Bland-Altman (agreement) and concordance (trending) and polar (trending).

RESULTS

From 20 patients 255 sets of cardiac output comparative data were collected. Mean cardiac output for each method ranged between 5.0 and 5.5 litre min(-1). For comparisons between COUS and the five PPWA algorithms with COODM: Correlation was best with COUS (R(2)=0.81) followed by COLZ (R(2)=0.72). Bias ranged between 0.1 and 0.5 litre min(-1). Percentage error was lowest with COUS (26.4%) followed by COLZ (35.2%), others (40.7 to 56.3%). Concordance was best with COUS (92%), followed by COLZ (71%), others (64 to 66%). Polar analysis (mean(standard deviation)) were best with COUS (-2.7 (21.1)), followed by COLZ (+4.7 (26.6).

CONCLUSIONS

The Liljestrand-Zander PPWA formula was most reliable compared with oesophageal Doppler in major surgical patients under general anaesthesia, but not better than USCOM.

摘要

背景

不同的数学方法被用于计算动脉脉搏压力波分析(PPWA)心输出量。CardioQ-Combi 是一种研究食管多普勒(COODM)监测仪,它包含这五个基本的 PPWA 算法。我们比较了这些 PPWA 心输出量读数与 COODM 和胸骨上 USCOM 多普勒(COUS)在接受大手术的患者中多巴胺输注诱导的一系列心输出量值。USCOM 作为对照。

方法

在心脏输出量增加的过程中,以固定的时间间隔记录一系列心输出量数据。公式包括:从全身血管阻力(COMAP)计算的心输出量、脉搏压(COPP)、Liljestrand-Zander 公式(COLZ)、交流电功率(COAC)和带 Kouchoukos 校正的收缩期面积(COSA)。比较的参考方法是 COODM。统计方法包括:散点图(相关性)、Bland-Altman(一致性)和一致性(趋势)和极坐标(趋势)。

结果

从 20 名患者中收集了 255 组心输出量比较数据。每种方法的平均心输出量范围在 5.0 到 5.5 升/分钟之间。对于 COUS 与 COODM 之间的五种 PPWA 算法的比较:与 COUS 的相关性最好(R(2)=0.81),其次是 COLZ(R(2)=0.72)。偏差范围在 0.1 到 0.5 升/分钟之间。COUS 的百分比误差最低(26.4%),其次是 COLZ(35.2%),其他(40.7%至 56.3%)。COUS 的一致性最好(92%),其次是 COLZ(71%),其他(64%至 66%)。极坐标分析(平均值(标准差))COUS 最佳(-2.7(21.1)),其次是 COLZ(+4.7(26.6))。

结论

与全身麻醉下的食管多普勒相比,Liljestrand-Zander PPWA 公式在接受大手术的患者中是最可靠的,但不如 USCOM。

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