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新型连续心输出量监测仪在实施患者信息校准和自动排除算法后测量心输出量趋势的能力。

The ability of a new continuous cardiac output monitor to measure trends in cardiac output following implementation of a patient information calibration and an automated exclusion algorithm.

机构信息

Department of Anesthesiology, Hirosaki University Graduate School of Medicine, 5 Zaifu-Cho, Hirosaki-Shi 036-8562, Japan.

出版信息

J Clin Monit Comput. 2012 Dec;26(6):465-71. doi: 10.1007/s10877-012-9384-7. Epub 2012 Aug 2.

Abstract

A new non-invasive continuous cardiac output (esCCO) monitoring system solely utilizing a routine cardiovascular monitor was developed, even though a reference cardiac output (CO) is consistently required. Subsequently, a non-invasive patient information CO calibration together with a new automated exclusion algorithm was implemented in the esCCO system. We evaluated the accuracy and trending ability of the new esCCO system. Either operative or postoperative data of a multicenter study in Japan for evaluation of the accuracy of the original version of esCCO system were used to develop the new esCCO system. A total of 207 patients, mostly cardiac surgical patients, were enrolled in the study. Data were manually reviewed to formulate a new automated exclusion algorithm with enhanced accuracy. Then, a new esCCO system based on a patient information calibration together with the automated exclusion algorithm was developed. CO measured with a new esCCO system was compared with the corresponding intermittent bolus thermodilution CO (ICO) utilizing statistical methods including polar plots analysis. A total of 465 sets of CO data obtained using the new esCCO system were evaluated. The difference in the CO value between the new esCCO and ICO was 0.34 ± 1.50 (SD) L/min (95 % confidence limits of -2.60 to 3.28 L/min). The percentage error was 69.6 %. Polar plots analysis showed that the mean polar angle was -1.6° and radial limits of agreement were ±53.3°. This study demonstrates that the patient information calibration is clinically useful as ICO, but trending ability of the new esCCO system is not clinically acceptable as judged by percentage error and polar plots analysis, even though it's trending ability is comparable with currently available arterial waveform analysis methods.

摘要

一种新的非侵入性连续心输出量(esCCO)监测系统仅利用常规心血管监测仪开发,尽管始终需要参考心输出量(CO)。随后,在 esCCO 系统中实施了非侵入性患者信息 CO 校准和新的自动排除算法。我们评估了新 esCCO 系统的准确性和趋势能力。用于评估原始版本 esCCO 系统准确性的日本多中心研究的手术或术后数据用于开发新的 esCCO 系统。共有 207 名患者(主要为心脏外科患者)入组研究。通过手动审查数据制定了一种新的自动排除算法,以提高准确性。然后,基于患者信息校准和自动排除算法开发了一种新的 esCCO 系统。利用包括极坐标图分析在内的统计方法比较新 esCCO 系统测量的 CO 与相应的间歇指示剂稀释 CO(ICO)。评估了新 esCCO 系统获得的 465 组 CO 数据。新 esCCO 和 ICO 的 CO 值差异为 0.34±1.50(SD)L/min(95%置信区间为-2.60 至 3.28 L/min)。百分比误差为 69.6%。极坐标图分析显示平均极角为-1.6°,一致性界限为±53.3°。本研究表明,患者信息校准与 ICO 一样具有临床意义,但新 esCCO 系统的趋势能力不能被接受,这可以从百分比误差和极坐标图分析判断,尽管它的趋势能力与现有的动脉波形分析方法相当。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5254/3494869/38f0111f86b5/10877_2012_9384_Fig1_HTML.jpg

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