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基于脉搏波分析的多参数评分预测液体反应性的准确性:一项观察性研究的辅助分析。

Accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study.

机构信息

Department of Anaesthesia and Critical Care Medicine, Georges-Pompidou European Hospital, APHP, 20, rue Leblanc, 75015, Paris, France.

Department of Anaesthesia and Critical Care, Lariboisière Hospital, DMU Parabol, APHP.Nord, Paris, France.

出版信息

Can J Anaesth. 2020 Sep;67(9):1162-1169. doi: 10.1007/s12630-020-01736-y. Epub 2020 Jun 4.

DOI:10.1007/s12630-020-01736-y
PMID:32500514
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7271959/
Abstract

PURPOSE

The pressure recording analytical method (PRAM) monitor is a non-invasive pulse contour cardiac output (CO) device that cannot be considered interchangeable with the gold standard for CO estimation. It, however, generates additional hemodynamic indices that need to be evaluated. Our objective was to investigate the performance of a multiparametric predictive score based on a combination of several parameters generated by the PRAM monitor to predict fluid responsiveness.

METHODS

Secondary analysis of a prospective observational study from April 2016 to December 2017 in two French teaching hospitals. We included critically ill patients who were monitored by esophageal Doppler monitoring and an invasive arterial line, and received a 250-500 mL crystalloid fluid challenge. The main outcome measure was the predictive score discrimination evaluated by the area under the receiver operating characteristics curve.

RESULTS

The three baseline PRAM-derived parameters associated with fluid responsiveness in univariate analysis were pulse pressure variation, cardiac cycle efficiency, and arterial elastance (P < 0.01, P = 0.03, and P < 0.01, respectively). The median [interquartile range] predictive score, calculated after discretization of these parameters according to their optimal threshold value was 3 [2-3] in fluid responders and 1 [1-2] in fluid non-responders, respectively (P < 0.001). The area under the curve of the predictive score was 0.807 (95% confidence interval, 0.662 to 0.909; P < 0.001).

CONCLUSION

A multiparametric score combining three parameters generated by the PRAM monitor can predict fluid responsiveness with good positive and negative predictive values in intensive care unit patients.

摘要

目的

压力记录分析方法(PRAM)监测仪是一种非侵入性脉搏轮廓心输出量(CO)设备,不能与 CO 估计的金标准互换。然而,它会产生需要评估的其他血流动力学指标。我们的目的是研究基于 PRAM 监测仪生成的多个参数组合的多参数预测评分对预测液体反应性的性能。

方法

这是 2016 年 4 月至 2017 年 12 月在法国两家教学医院进行的前瞻性观察性研究的二次分析。我们纳入了通过食管多普勒监测和有创动脉线监测的危重症患者,并接受了 250-500ml 晶体液冲击。主要观察指标是通过接受者操作特征曲线下面积评估的预测评分区分度。

结果

在单变量分析中,与液体反应性相关的三个基线 PRAM 衍生参数是脉压变化、心脏周期效率和动脉弹性(P<0.01、P=0.03 和 P<0.01)。根据最佳阈值对这些参数进行离散化后计算的中位数[四分位数范围]预测评分,在液体反应者中为 3[2-3],在液体无反应者中为 1[1-2](P<0.001)。预测评分的曲线下面积为 0.807(95%置信区间,0.662 至 0.909;P<0.001)。

结论

PRAM 监测仪生成的三个参数组合的多参数评分可以预测 ICU 患者的液体反应性,具有良好的阳性和阴性预测值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fcd/7271959/380e71a98ad6/12630_2020_1736_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fcd/7271959/f070006b312e/12630_2020_1736_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fcd/7271959/75ad503867ec/12630_2020_1736_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fcd/7271959/380e71a98ad6/12630_2020_1736_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fcd/7271959/f070006b312e/12630_2020_1736_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fcd/7271959/75ad503867ec/12630_2020_1736_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fcd/7271959/380e71a98ad6/12630_2020_1736_Fig3_HTML.jpg

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本文引用的文献

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2
Pulse pressure variation and stroke volume variation during increased intra-abdominal pressure: an experimental study.脉压变异和腹内压增高时的每搏量变异:一项实验研究。
Crit Care. 2011;15(1):R33. doi: 10.1186/cc9980. Epub 2011 Jan 19.