进行性中枢性低血容量时血流动力学失代偿发生的预测因素:外周灌注指数、脉压变异性和代偿储备指数的比较

J. Janak, Jeffrey T. Howard, K. Goei, Rachael N Weber, Gary W. Muniz, C. Hinojosa-Laborde, V. Convertino
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引用次数: 47

摘要

导论:随着技术的进步,可以开发出更复杂的测量方法来补偿循环血容量损失(如出血)的机制,将这些新测量方法与标准生命体征和其他感兴趣的新生理指标的鉴别能力进行比较是很重要的。本研究的目的是比较以下三种指标预测血流动力学失代偿发生的判别能力:外周灌注指数(PPI)、脉压变异性(PPV)和代偿储备指数(CRI)。材料和方法:51名健康受试者接受进行性模拟出血,通过下体负压(LBNP)诱导中枢性低血容量。每个测量值的最小二乘平均值和95%置信区间按LBNP水平报告,并按耐受性状态(高耐受性vs低耐受性)分层。通过回归每个感兴趣的生命体征的血流动力学失代偿的开始,使用广义估计方程进行重复测量逻辑回归分析。这些概率用于计算PPI、PPV和CRI的敏感性、特异性和受体操作特征曲线下面积(ROCAUC)。结果:与PPV (ROCAUC = 0.79)和PPI(0.56)相比,CRI(0.90)在预测血流动力学失代偿发生方面具有更强的判别能力(P≤0.0001)。与PPV和PPI相比,CRI分别具有更高的敏感性(0.86 vs. 0.78和0.71)和特异性(0.78 vs. 0.69和0.29)。此外,CRI是唯一具有血流动力学失代偿发生的平均预测概率的指标,该概率随着模拟出血水平的增加而逐渐增加。讨论:CRI在预测血流动力学失代偿方面具有优越的判别能力,可能有两个原因。首先,CRI更准确地预测了所有水平的模拟出血的血流动力学失代偿的发生,但特别是在低水平的出血。其次,CRI能够更好地区分高耐受性和低耐受性的参与者。结论:与既往研究一致,CRI对血流动力学失代偿的发生有较好的判别能力。对于那些发生即将发生的循环性休克风险最大的患者,确定血液动力学失代偿发生的最敏感和最具体的措施对于早期识别和实施挽救生命的干预措施至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictors of the Onset of Hemodynamic Decompensation During Progressive Central Hypovolemia: Comparison of the Peripheral Perfusion Index, Pulse Pressure Variability, and Compensatory Reserve Index
Introduction: As technological advances allow for the development of more sophisticated measurement of the mechanisms that contribute to compensation for loss of circulating blood volume such as hemorrhage, it is important to compare the discriminative ability of these new measures to standard vital signs and other new physiologic metrics of interest. The purpose of this study was to compare the discriminative ability of the following three measures to predict the onset of hemodynamic decompensation: peripheral perfusion index (PPI), pulse pressure variability (PPV), and the compensatory reserve index (CRI). Materials and Methods: There were 51 healthy participants who underwent a progressive simulated hemorrhage to induce central hypovolemia by lower body negative pressure (LBNP). The least-squares means and 95% confidence intervals for each measure were reported by LBNP level and stratified by tolerance status (high tolerance vs. low tolerance). Generalized estimating equations were used to perform repeated measures logistic regression analysis by regressing the onset of hemodynamic decompensation on each of the vital signs of interest. These probabilities were used to calculate sensitivity, specificity, and receiver-operating characteristic area under the curve (ROCAUC) for PPI, PPV, and CRI. Results: Compared with both PPV (ROCAUC = 0.79) and PPI (0.56), the CRI (0.90) had superior discriminative ability (P ⩽ 0.0001) to predict the onset of hemodynamic decompensation. This included higher sensitivity (0.86 vs. 0.78 and 0.71) and specificity (0.78 vs. 0.69 and 0.29) for the CRI compared with PPV and PPI, respectively. Further, CRI was the only measure with mean predicted probabilities of the onset of hemodynamic decompensation that progressively increased as the level of simulated hemorrhage increased. Discussion: There are two potential rationales for why the CRI had superior discriminative ability to predict hemodynamic decompensation. First, the CRI more accurately predicted the onset of hemodynamic decompensation at all levels of simulated hemorrhage, but especially at lower levels of hemorrhage. Second, the CRI was better able to differentiate high versus low tolerant participants. Conclusion: Consistent with previous research, the CRI had superior discriminative ability to predict the onset of hemodynamic decompensation. For those patients at greatest risk for developing impending circulatory shock, identifying the most sensitive and specific measures of the onset of hemodynamic decompensation is critical for both the early recognition and implementation of life-saving interventions.
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