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首页> 外文期刊>Acta neurochirurgica.Supplement >Approximate entropy: a regularity statistic for assessment of intracranial pressure.
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Approximate entropy: a regularity statistic for assessment of intracranial pressure.

机译:近似熵:用于评估颅内压的规律性统计量。

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INTRODUCTION: Waveform analysis of ICP and mABP provideqs important information about cerebrovascular reactivity and intracranial compliance. Traditionally spectral analysis and correlation statistics have been used despite certain limitations. Approximate entropy (ApEn) is an established measure of system regularity; which can change with pathology. This study defines a novel method for application of ApEn to the ICP/mABP waveform, and reports changing ApEn with pathophysiology in the rodent brain. METHODS: Nine Sprague-Dawley rats were anesthetized for mABP, and ICP recording. Rats were exposed to 15 minutes hypotension (45-50 mmHg), followed by resuscitation, equilibration and infusion of a 500 ul subdural hematoma. Raw data, ApEn(RAW), and wave-period, ApEn(PERIOD), were assessed for stochastic fluctuations using ApEn (m = 2, r = 0.2 SD). Results were compared with the established parameters: standard deviation, harmonic transfer function, Pressure Reactivity Index and Correlation Coefficient. RESULTS: At baseline, ApEn(ABP-PERIOD) and ApEn(ICP-PERIOD) were 1.464 +/- 0.003, and 0.690 +/- 0.020 respectively, suggesting that random heart rate fluctuations are damped during transfer to the ICP waveform. ApEn(ICP-PERIOD) consistently rose during hypotension (ICP 7 +/- 2: ApEn(ICP-PERIOD) 1.086 +/- 0.074, p < 0.05) and after SDH infusion (ICP 35 +/- 12: ApEn(ICP-PERIOD) 1.24 +/- 0.03, p < 0.01). These values were closer to mABP and suggest enhanced transfer of random fluctuations. Significant changes in ApEn were seen in the absence of significant changes in other parameters. CONCLUSIONS: This study defines a system for analyzing the transfer of random fluctuations in mABP waveform to the ICP waveform. ApEn appears to be responsive to changes in intracranial compliance and/or cerebrovascular resistance, therefore more formal studies of the sensitivity and specificity of this novel measure are warranted. These initial findings suggest that ApEn may be a useful adjunct measure of the ICP waveform.
机译:引言:ICP和mABP的波形分析提供了有关脑血管反应性和颅内顺应性的重要信息。尽管有某些限制,但传统上还是使用频谱分析和相关统计。近似熵(ApEn)是系统规则性的既定度量;可以随病理改变。这项研究定义了一种将ApEn应用于ICP / mABP波形的新方法,并报告了随着啮齿动物脑部病理生理变化而改变ApEn的方法。方法:麻醉9只Sprague-Dawley大鼠的mABP并记录ICP。将大鼠暴露于15分钟的低血压(45-50 mmHg)中,然后进行复苏,平衡和输注500 ul硬膜下血肿。使用ApEn(m = 2,r = 0.2 SD)评估原始数据ApEn(RAW)和波动周期ApEn(PERIOD)的随机波动。将结果与确定的参数进行了比较:标准偏差,谐波传递函数,压力反应指数和相关系数。结果:在基线时,ApEn(ABP-PERIOD)和ApEn(ICP-PERIOD)分别为1.464 +/- 0.003和0.690 +/- 0.020,这表明在转移到ICP波形期间,随机心率波动得到了抑制。低血压期间(ICP 7 +/- 2:ApEn(ICP-PERIOD)1.086 +/- 0.074,p <0.05)和SDH输注后(ICP 35 +/- 12:ApEn(ICP-周期)1.24 +/- 0.03,p <0.01)。这些值更接近mABP,表明随机波动的传递增强。在其他参数没有显着变化的情况下,可以看到ApEn的显着变化。结论:本研究定义了一种用于分析mABP波形中的随机波动向ICP波形的转移的系统。 ApEn似乎对颅内顺应性和/或脑血管抵抗力的变化有反应,因此,需要对这种新方法的敏感性和特异性进行更正式的研究。这些初步发现表明,ApEn可能是ICP波形的有用辅助度量。

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