Convertino Victor A, Howard Jeffrey T, Hinojosa-Laborde Carmen, Cardin Sylvain, Batchelder Paul, Mulligan Jane, Grudic Gregory Z, Moulton Steven L, MacLeod David B
*US Army Institute of Surgical Research, JBSA Fort Sam Houston, Texas; †Medical Research & Materiel Command, Fort Detrick, Maryland; ‡CliniMark, Denver; §Flashback Technologies Inc, Boulder; ∥University of Colorado, Aurora, Colorado; ¶Human Pharmacology & Physiology Lab, Duke University Medical Center, Durham, North Carolina.
Shock. 2015 Aug;44 Suppl 1:27-32. doi: 10.1097/SHK.0000000000000323.
Current monitoring technologies are unable to detect early, compensatory changes that are associated with significant blood loss. We previously introduced a novel algorithm to calculate the Compensatory Reserve Index (CRI) based on the analysis of arterial waveform features obtained from photoplethysmogram recordings. In the present study, we hypothesized that the CRI would provide greater sensitivity and specificity to detect blood loss compared with traditional vital signs and other hemodynamic measures. Continuous noninvasive vital sign waveform data, including CRI, photoplethysmogram, heart rate, blood pressures, SpO2, cardiac output, and stroke volume, were analyzed from 20 subjects before, during, and after an average controlled voluntary hemorrhage of ∼1.2 L of blood. Compensatory Reserve Index decreased by 33% in a linear fashion across progressive blood volume loss, with no clinically significant alterations in vital signs. The receiver operating characteristic area under the curve for the CRI was 0.90, with a sensitivity of 0.80 and specificity of 0.76. In comparison, blood pressures, heart rate, SpO2, cardiac output, and stroke volume had significantly lower receiver operating characteristic area under the curve values and specificities for detecting the same volume of blood loss. Consistent with our hypothesis, CRI detected blood loss and restoration with significantly greater specificity than did other traditional physiologic measures. Single measurement of CRI may enable more accurate triage, whereas CRI monitoring may allow for earlier detection of casualty deterioration.
目前的监测技术无法检测出与大量失血相关的早期代偿性变化。我们之前引入了一种新算法,通过分析从光电容积脉搏波记录中获得的动脉波形特征来计算代偿储备指数(CRI)。在本研究中,我们假设与传统生命体征和其他血流动力学指标相比,CRI在检测失血方面具有更高的敏感性和特异性。对20名受试者在平均约1.2L可控性自愿失血前、失血期间和失血后的连续无创生命体征波形数据进行了分析,这些数据包括CRI、光电容积脉搏波、心率、血压、血氧饱和度、心输出量和每搏输出量。随着失血量的逐渐增加,代偿储备指数呈线性下降33%,而生命体征无临床显著变化。CRI的曲线下面积为0.90,敏感性为0.80,特异性为0.76。相比之下,血压、心率、血氧饱和度、心输出量和每搏输出量在检测相同失血量时,曲线下面积值和特异性显著较低。与我们的假设一致,与其他传统生理指标相比,CRI在检测失血和恢复方面具有显著更高的特异性。单次测量CRI可能有助于更准确的分诊,而CRI监测可能允许更早地发现伤员病情恶化。