Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability
Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability
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DOI：
10.3389/fphys.2019.00865
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发表时间：
2019-07-09
影响因子：
4
通讯作者：
Claassen, Jurgen A. H. R.
中科院分区：
文献类型：
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作者：
Sanders, Marit L.;Elting, Jan Willem J.;Claassen, Jurgen A. H. R.
描述动态大脑自动调节（DCA）的参数可重复性有限。在一项国际多中心研究中，我们评估了多种分析方法对DCA重现性的影响。14个参与中心分析了75名健康受试者的重复测量结果，包括5分钟的血压自发波动和脑血流速度信号，基于他们通常的分析方法。DCA方法根据输出类型分为三大类：(1)传递函数分析（TFA）；(2)自调节指数（ARI）；(3)相关系数。只有低频（LF）波段的TFA增益在大约一半的增益估计中显示出良好的再现性，定义为类内相关系数（ICC）为>.6。其他DCA指标都没有很好的再现性。对于tfa样和ari样方法，ICCs低于替代数据（p < 0.05）。对于tfa样方法，极LF波段（增益0.38 +/- 0.057，期0.17 +/- 0.13）的ICCs低于LF波段(增益0.59 +/- 0.078，期0.39 +/- 0.11,p
Parameters describing dynamic cerebral autoregulation (DCA) have limited reproducibility. In an international, multi-center study, we evaluated the influence of multiple analytical methods on the reproducibility of DCA. Fourteen participating centers analyzed repeated measurements from 75 healthy subjects, consisting of 5 min of spontaneous fluctuations in blood pressure and cerebral blood flow velocity signals, based on their usual methods of analysis. DCA methods were grouped into three broad categories, depending on output types: (1) transfer function analysis (TFA); (2) autoregulation index (ARI); and (3) correlation coefficient. Only TFA gain in the low frequency (LF) band showed good reproducibility in approximately half of the estimates of gain, defined as an intraclass correlation coefficient (ICC) of >0.6. None of the other DCA metrics had good reproducibility. For TFA-like and ARI-like methods, ICCs were lower than values obtained with surrogate data (p < 0.05). For TFA-like methods, ICCs were lower for the very LF band (gain 0.38 +/- 0.057, phase 0.17 +/- 0.13) than for LF band (gain 0.59 +/- 0.078, phase 0.39 +/- 0.11, p