从脉搏氧饱和度波形获取补偿储备指标的生理验证

IF 5.3 2区 医学 Q1 PHYSIOLOGY Physiology Pub Date : 2024-05-01 DOI:10.1152/physiol.2024.39.s1.1430
R. Roden, Kevin Webb, Wyatt W. Pruter, David Holmes, Clifton Haider, Michael Joyner, Timothy Curry
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Methods: Forty-nine healthy adults (25 females) underwent a graded LBNP protocol with the following 5-minute stages: -0, -15, -30, -45, -60, -70, -80, -90, and 100 mmHg, or until the onset of pre-syncopal symptoms (tolerance) was reached. Arterial waveforms were sampled using pulse oximetry (Massimo Radical 7). The CRM was calculated using a validated one-dimensional convolutional neural network. A brachial artery catheter was used to measure intraarterial pressure. A 3-lead ECG was used to measure heart rate. SpO2 was measured using pulse oximetry. Cardiac output and stroke volume were estimated using the photoplethysmographic volume-clamp. Data were binned for the last thirty seconds of each completed stage, and at tolerance. Fixed-effect linear mixed models with repeated measures were used to examine the association between CRM values and physiologic variables. A priori significance was set at P<0.05. Results: The median LBNP stage reached was 70 mmHg (Range: 45-100 mmHg). 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引用次数: 0

摘要

背景:代偿储备指标(CRM)为预测中枢性低血容量时心血管突然失代偿提供了一种新的血液动力学状态标记。CRM 以前是通过光电血压容积钳技术获得的动脉波形来计算的。然而,脉搏血氧仪的现场使用在研究和医学领域正变得越来越重要。为了提高 CRM 的现场适用性,本项目旨在通过应用下半身负压 (LBNP) 在模拟出血过程中验证脉搏氧饱和度得出的 CRM 值与生理数据的相对性。方法:49 名健康成人(25 名女性)接受了分级 LBNP 方案,其中包括以下 5 分钟阶段:-0、-15、-30、-45、-60、-70、-80、-90 和 100 mmHg,或直至出现晕厥前症状(耐受)。使用脉搏血氧仪(Massimo Radical 7)采样动脉波形。使用经过验证的一维卷积神经网络计算 CRM。使用肱动脉导管测量动脉内压。三导联心电图用于测量心率。使用脉搏血氧仪测量 SpO2。心输出量和每搏量通过光电血压体积钳进行估算。对每个完成阶段的最后三十秒和耐受时的数据进行分档。采用重复测量的固定效应线性混合模型来检验 CRM 值与生理变量之间的关联。先验显著性设定为 P<0.05。结果:达到的 LBNP 阶段中位数为 70 mmHg(范围:45-100 mmHg)。与基线相比,耐受时平均每搏量减少了 50±12% (P<0.001),心率增加了 65±27% (P<0.001),平均动脉压降低了 18±8% (P<0.001),收缩压降低了 21±7% (P<0.001),舒张压降低了 8±9% (P<0.001),脉压降低了 39±12% (P<0.001)。使用脉搏血氧仪获得的 CRM 与搏出量的减少(P<0.001)、心率的增加(P<0.001)以及收缩压(P=0.033)、舒张压(P=0.036)和脉压(P=0.002)的降低显著相关。CRM 与心输出量 ( P=0.421)、SpO2 ( P=0.408)或平均动脉压 ( P=0.214) 之间没有统计学意义。结论:使用脉搏血氧仪获得的 CRM 可能是一种有效、可靠的血液动力学状态标记,在现场应用前景广阔。未来的研究需要调查从手术室到战场等各种情况下的可行性和适用性。本文部分研究工作由美国国会医学研究计划(DM180240 号奖)和海军研究办公室(N00014-18-D-7001 和 N00014-19-C-2017 号奖)资助。本文是在 2024 年美国生理学峰会(American Physiology Summit 2024)上发表的摘要全文,仅提供 HTML 格式。本摘要没有附加版本或附加内容。生理学》未参与同行评审过程。
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Physiologic Validation of the Compensatory Reserve Metric Obtained From Pulse Oximetry Waveforms
Background: The compensatory reserve metric (CRM) provides a novel marker of hemodynamic status in prediction of sudden cardiovascular decompensation during central hypovolemia. The CRM has previously been calculated using arterial waveforms obtained from a photoplethysmographic volume-clamp technique. However, the in-field use of pulse oximetry is becoming more prominent in research and medicine. To improve in-field applicability of the CRM, this project aimed to validate pulse-oximetry derived CRM values relative to physiologic data during simulated hemorrhage through application of lower body negative pressure (LBNP). Methods: Forty-nine healthy adults (25 females) underwent a graded LBNP protocol with the following 5-minute stages: -0, -15, -30, -45, -60, -70, -80, -90, and 100 mmHg, or until the onset of pre-syncopal symptoms (tolerance) was reached. Arterial waveforms were sampled using pulse oximetry (Massimo Radical 7). The CRM was calculated using a validated one-dimensional convolutional neural network. A brachial artery catheter was used to measure intraarterial pressure. A 3-lead ECG was used to measure heart rate. SpO2 was measured using pulse oximetry. Cardiac output and stroke volume were estimated using the photoplethysmographic volume-clamp. Data were binned for the last thirty seconds of each completed stage, and at tolerance. Fixed-effect linear mixed models with repeated measures were used to examine the association between CRM values and physiologic variables. A priori significance was set at P<0.05. Results: The median LBNP stage reached was 70 mmHg (Range: 45-100 mmHg). Relative to baseline, at tolerance there was a 50±12% ( P<0.001) mean reduction in stroke volume, 65±27% ( P<0.001) increase in heart rate, 18±8% ( P<0.001) reduction in mean arterial pressure, 21±7% ( P<0.001) systolic blood pressure, 8±9% ( P<0.001) diastolic blood pressure, and 39±12% ( P<0.001) pulse pressure. The CRM obtained using pulse oximetry was significantly associated with a reduction in stroke volume ( P<0.001), increase in heart rate ( P<0.001), and reductions in systolic ( P=0.033), diastolic ( P=0.036), and pulse pressure ( P=0.002). There was no statistically significant association between CRM and cardiac output ( P=0.421), SpO2 ( P=0.408), or mean arterial pressure ( P=0.214). Conclusion: The CRM obtained using pulse oximetry may be a valid, reliable marker of hemodynamic status with promising in-field applications. Future studies warrant investigation of feasibility and applicability within various contexts ranging from the operating room to the battlefield. The presented work was funded in part by the Congressionally Directed Medical Research Program (Award No. DM180240) and Offce of Naval Research (Awards No. N00014-18-D-7001 and N00014-19-C-2017). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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Physiology
Physiology 医学-生理学
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