首页> 外文期刊>The journal of trauma and acute care surgery >Is heart-rate complexity a surrogate measure of cardiac output before, during, and after hemorrhage in a conscious sheep model of multiple hemorrhages and resuscitation?
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Is heart-rate complexity a surrogate measure of cardiac output before, during, and after hemorrhage in a conscious sheep model of multiple hemorrhages and resuscitation?

机译:心率复杂性是一种在多种出血和复苏的有意识的绵羊模型中出血前,期间和后出现的心输出的替代衡量

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BACKGROUND: Despite its medical utility, continuous cardiac output (CO) monitoring remains a practical challenge on the battlefield and in the prehospital environment. Measuring a CO surrogate, perhaps heart-rate complexity (HRC), might be a viable solution when no direct monitoring of CO is available. Changes in HRC observed before and during hemorrhagic shock may be able to track the simultaneous changes in CO. The goal of this study was to test whether HRC is a surrogate measure of CO before, during, and after hemorrhage in a conscious sheep model of multiple hemorrhages and resuscitation. METHODS: HRC was derived from 100-Hz electrocardiograms of 10 sheep records, 3 hours to 4 hours long, using the method of sample entropy. A real-time detection algorithm was used to detect the R-R interval sequences for HRC calculations. All records contained 100-Hz recordings of pulmonary arterial blood flow using Doppler transit time (criterion standard CO). Gold CO and estimated HRC values were analyzed using overlaid time-synchronized waveform plots as well as Bland-Altman, regression, and four-quadrant analysis. RESULTS: Baseline CO varied from 3.0 L/min to 5.4 L/min, while posthemorrhage CO varied from 1.0 L/min to 1.8 L/min. Importantly, overlaid plots demonstrated an overall high similarity between CO and HRC waveforms before and during hemorrhage, but not during resuscitation. When the electrocardiogram quality was high, the correlation between CO and HRC within the first 45 minutes was greater than 0.75 (p < 0.0001; maximum r2, 0.972). Scatter plots also depicted high linearity before and during hemorrhage. Four-quadrant analysis showed that instantaneous changes between consecutive beat-to-beat HRC measurements followed CO measurements (100% concordance rate), while 5-minute time points yielded a 76.19% concordance rate. CONCLUSION: HRC has potential utility as a noninvasive tool for assessing the response of CO to life-threatening injuries such as hemorrhagic shock. However, further investigation and other animal models or human studies are needed.
机译:背景:尽管其医疗用途,但连续的心脏输出(CO)监测仍然是战场和在前环境中的实际挑战。衡量CO代理人,也许心率复杂性(HRC)可能是一种可行的CO直接监控时可行的解决方案。在出血休克之前和期间观察到的HRC的变化可能能够跟踪CO的同时变化。该研究的目标是测试HRC是否是在多个有意识的绵羊模型中出血之前,期间和之后的CO的替代衡量标准血液错误和复苏。方法:使用样品熵的方法,HRC从10羊记录的100-Hz心电图衍生自10羊记录,3小时至4小时。使用实时检测算法检测HRC计算的R-R间隔序列。所有记录含有使用多普勒传输时间(标准标准CO)的肺动脉血流100 Hz录制。使用覆盖时间同步波形图以及Bland-Altman,回归和四象限分析来分析Gold Co和估计的HRC值。结果:基线CO从3.0 L / min变化至5.4 L / min,而Posthemorrhage Co从1.0 L / min变化至1.8 L / min。重要的是,覆盖图在出血之前和期间的CO和HRC波形之间表现出总体高相似性,但在复苏期间没有。当心电图质量很高时,首次45分钟内的CO和HRC之间的相关性大于0.75(P <0.0001;最大R2,0.972)。散点图还在出血前和出血前和期间的高线性。四象限分析表明,连续节拍与击败HRC测量之间的瞬时变化遵循CO测量(100%的一致性率),而5分钟的时间点产生了76.19%的一致性率。结论:HRC具有潜在的效用作为一种非侵入性工具,用于评估CO对危及生命伤害等出血休克等造成危及生命的伤害。然而,需要进一步调查和其他动物模型或人类研究。

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