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在年轻健康志愿者自主呼吸和辅助通气期间,通过心率变异性和每搏输出量变异性检测中枢性低血容量。

Heart rate variability and stroke volume variability to detect central hypovolemia during spontaneous breathing and supported ventilation in young, healthy volunteers.

作者信息

Elstad Maja, Walløe Lars

机构信息

Department of Physiology, Institute of Basic Medical Sciences, University of Oslo, Blindern, 0317 Oslo, Norway.

出版信息

Physiol Meas. 2015 Apr;36(4):671-81. doi: 10.1088/0967-3334/36/4/671. Epub 2015 Mar 23.

Abstract

Cardiovascular oscillations exist in many different variables and may give important diagnostic and prognostic information in patients. Variability in cardiac stroke volume (SVV) is used in clinical practice for diagnosis of hypovolemia, but currently is limited to patients on mechanical ventilation. We investigated if SVV and heart rate variability (HRV) could detect central hypovolemia in spontaneously breathing humans: We also compared cardiovascular variability during spontaneous breathing with supported mechanical ventilation.Ten subjects underwent simulated central hypovolemia by lower body negative pressure (LBNP) with >10% reduction of cardiac stroke volume. The subjects breathed spontaneously and with supported mechanical ventilation. Heart rate, respiratory frequency and mean arterial blood pressure were measured. Stroke volume (SV) was estimated by ModelFlow (Finometer). Respiratory SVV was calculated by: 1) SVV% = (SVmax - SVmin)/SVmean during one respiratory cycle, 2) SVIntegral from the power spectra (Fourier transform) at 0.15-0.4 Hz and 3) SVV_norm = (√SVIntegral)/SVmean. HRV was calculated by the same methods.During spontaneous breathing two measures of SVV and all three measures of HRV were reduced during hypovolemia compared to baseline. During spontaneous breathing SVIntegral and HRV% were best to detect hypovolemia (area under receiver operating curve 0.81). HRV% ≤ 11% and SVIntegral ≤ 12 ml(2) differentiated between hypovolemia and baseline during spontaneous breathing.During supported mechanical ventilation, none of the three measures of SVV changed and two of the HRV measures were reduced during hypovolemia. Neither measures of SVV nor HRV were classified as a good detector of hypovolemia.We conclude that HRV% and SVIntegral detect hypovolemia during spontaneous breathing and both are candidates for further clinical testing.

摘要

心血管振荡存在于许多不同的变量中,可能为患者提供重要的诊断和预后信息。心搏量变异度(SVV)在临床实践中用于诊断血容量不足,但目前仅限于机械通气患者。我们研究了SVV和心率变异性(HRV)能否检测自主呼吸人群的中枢性血容量不足:我们还比较了自主呼吸与辅助机械通气时的心血管变异性。10名受试者通过下体负压(LBNP)模拟中枢性血容量不足,心搏量减少超过10%。受试者自主呼吸并接受辅助机械通气。测量心率、呼吸频率和平均动脉血压。心搏量(SV)通过ModelFlow(Finometer)估算。呼吸SVV通过以下方式计算:1)SVV% = 一个呼吸周期内(SVmax - SVmin)/SVmean,2)0.15 - 0.4 Hz功率谱(傅里叶变换)的SV积分,3)SVV_norm = (√SV积分)/SVmean。HRV通过相同方法计算。在自主呼吸过程中,与基线相比,血容量不足时SVV的两种测量方法和HRV的所有三种测量方法均降低。在自主呼吸过程中,SV积分和HRV%最能检测出血容量不足(受试者工作特征曲线下面积为0.81)。在自主呼吸过程中,HRV%≤11%且SV积分≤12 ml(2)可区分血容量不足和基线状态。在辅助机械通气期间,SVV的三种测量方法均未改变,血容量不足时HRV的两种测量方法降低。SVV和HRV的测量方法均未被归类为血容量不足的良好检测指标。我们得出结论,HRV%和SV积分可在自主呼吸过程中检测出血容量不足,两者均是进一步临床测试的候选指标。

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