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首页> 外文期刊>Intensive care medicine >Fluid responsiveness predicted by noninvasive Bioreactance-based passive leg raise test.
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Fluid responsiveness predicted by noninvasive Bioreactance-based passive leg raise test.

机译:通过基于无创生物反应的被动抬腿测试预测的液体反应性。

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PURPOSE: To study the feasibility of predicting fluid responsiveness (FR) by passive leg raising (PLR) using a Bioreactance-based noninvasive cardiac output monitoring device (NICOM). METHOD: This prospective, two-center study included 75 consecutive intensive care unit (ICU) adult patients immediately after cardiac surgery. NICOM was used to continuously record cardiac output (CO) at baseline, during a PLR, and then during a 500 ml i.v. rapid colloid infusion. We estimated the precision of NICOM at baseline to derive the least minimum significant change (LMSC) in CO. We studied the predictability of PLR for FR by systematic analysis of different categorizations of PLR and FR, based on percentage change in CO (from 0 to 20%). RESULTS: The LMSC was 8.85%. CO was 4.17 +/- 1.04 L min(1) at baseline, 4.38 +/- 1.14 L min(1) during PLR, 4.16 +/- 1.08 L min(1) upon return to baseline, and 4.85 +/- 1.41 L min(1) after fluid infusion. The change in CO following fluid bolus was highly correlated with the change in CO following PLR: y = 0.91x + 4.3, r = 0.77. The Pearson correlation coefficient showed that the best pair of thresholds was found for PLR >/= 0% predicting FR >/= 0%. Using this pair of thresholds, PLR had 88% sensitivity and 100% specificity for predicting FR. When we restricted the analysis to change in CO > LMSC, the best pair of thresholds was obtained for PLR > 9% predicting FR > 9%. Using this pair of thresholds, PLR sensitivity was reduced to 68% and specificity to 95%. CONCLUSIONS: In this specific population of patients, it is clinically valid to use the bioreactance-based NICOM system to predict FR from changes in CO during PLR.
机译:目的:研究使用基于生物反应的无创心输出量监测装置(NICOM)通过被动抬腿(PLR)预测体液反应性(FR)的可行性。方法:这项前瞻性,两中心研究包括心脏手术后立即连续接受75例重症监护病房(ICU)的成年患者。 NICOM用于在PLR期间,然后在500 ml i.v.中连续记录基线的心输出量(CO)。快速胶体输注。我们估算了NICOM在基线处的精度,以得出CO的最小最小显着变化(LMSC)。我们基于CO的变化百分比(从0到0,通过对PLR和FR的不同分类进行系统分析,研究了PLR对FR的可预测性20%)。结果:LMSC为8.85%。基线时的CO为4.17 +/- 1.04 L min(1),PLR期间为4.38 +/- 1.14 L min(1),返回基线时为4.16 +/- 1.08 L min(1),以及4.85 +/- 1.41 L输液后的分钟(1)。推注后CO的变化与PLR后CO的变化高度相关:y = 0.91x + 4.3,r = 0.77。皮尔森相关系数表明,对于PLR> / = 0%预测FR> / = 0%,发现了最佳的一对阈值。使用这对阈值,PLR预测FR的敏感性为88%,特异性为100%。当我们将分析限制在CO> LMSC的变化范围内时,对于PLR> 9%预测FR> 9%,可获得最佳的一对阈值。使用这对阈值,PLR敏感性降低到68%,特异性降低到95%。结论:在这个特定的患者群体中,使用基于生物反应的NICOM系统从PLR期间CO的变化预测FR在临床上是有效的。

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