1 Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge , Cambridge, United Kingdom .
2 Section of Surgery, Rady Faculty of Health Sciences, University of Manitoba , Winnipeg, Canada .
J Neurotrauma. 2018 Dec 1;35(23):2803-2811. doi: 10.1089/neu.2017.5603. Epub 2018 Oct 4.
The purpose of this study was to provide validation of intracranial pressure (ICP) derived continuous indices of cerebrovascular reactivity against the lower limit of autoregulation (LLA). Utilizing an intracranial hypertension model within white New Zealand rabbits, ICP, transcranial Doppler (TCD), laser Doppler flowmetry (LDF), and arterial blood pressure were recorded. Data were retrospectively analyzed in a cohort of 12 rabbits with adequate signals for interrogating the LLA. We derived continuous indices of cerebrovascular reactivity: PRx (correlation between ICP and mean arterial pressure [MAP]), PAx (correlation between pulse amplitude of ICP [AMP] and MAP), and Lx (correlation between LDF-based cerebral blood flow [CBF] and cerebral perfusion pressure [CPP]). LLA was derived via piecewise linear regression of CPP versus LDF or CPP versus systolic flow velocity (FVs) plots. We then produced error bar plots for PRx, PAx, and Lx against 2.5 mm Hg bins of CPP, to display the relationship between these indices and the LLA. We compared the CPP values at clinically relevant thresholds of PRx and PAx, to the CPP defined at the LLA. Receiver operating curve (ROC) analysis was performed for each index across the LLA using 2.5 mm Hg bins for CPP. The mean LLA was 51.5 ± 8.2 mm Hg. PRx and PAx error bar plots demonstrate that each index correlates with the LLA, becoming progressively more positive below the LLA. Similarly, CPP values at clinically relevant thresholds of PRx and PAx were not statistically different from the CPP derived at the LLA. Finally, ROC analysis indicated that PRx and PAx predicted the LAA, with areas under the curve (AUCs) of 0.795 (95% confidence interval [CI]: 0.731-0.857, p < 0.0001) and 0.703 (95% CI: 0.631-0.775, p < 0.0001), respectively. Both PRx and PAx generally agree with LLA within this experimental model of intracranial hypertension. Further analysis of clinically used indices of autoregulation across the LLA within pure arterial hypotension models is required.
本研究旨在验证颅内压(ICP)衍生的脑血管反应性连续指标与自动调节下限(LLA)的相关性。通过在新西兰白兔的颅内高压模型中记录 ICP、经颅多普勒(TCD)、激光多普勒血流计(LDF)和动脉血压,对数据进行回顾性分析。在 12 只具有足够信号以检测 LLA 的兔子的队列中进行了数据分析。我们得出了脑血管反应性的连续指标:PRx(ICP 与平均动脉压 [MAP] 之间的相关性)、PAx(ICP 脉搏幅度 [AMP] 与 MAP 之间的相关性)和 Lx(基于 LDF 的脑血流 [CBF] 与脑灌注压 [CPP] 之间的相关性)。LLA 通过 CPP 与 LDF 或 CPP 与收缩期血流速度(FVs)图的分段线性回归得出。然后,我们根据 CPP 产生了 PRx、PAx 和 Lx 与 2.5mmHg CPP -bin 的误差条图,以显示这些指标与 LLA 的关系。我们比较了 PRx 和 PAx 的临床相关阈值下的 CPP 值与 LLA 定义的 CPP 值。使用 2.5mmHg CPP-bin 对每个指数进行 ROC 分析。对于 LLA 上的每个指数,绘制 PRx 和 PAx 的平均 LLA 为 51.5±8.2mmHg。PRx 和 PAx 的误差条图表明,每个指数与 LLA 相关,在 LLA 以下呈逐渐正相关。同样,PRx 和 PAx 的临床相关阈值下的 CPP 值与 LLA 定义的 CPP 值无统计学差异。最后,ROC 分析表明 PRx 和 PAx 预测了 LAA,曲线下面积(AUCs)分别为 0.795(95%置信区间 [CI]:0.731-0.857,p<0.0001)和 0.703(95%CI:0.631-0.775,p<0.0001)。在颅内高压的这个实验模型中,PRx 和 PAx 通常与 LLA 一致。需要在纯动脉低血压模型中对 LLA 范围内的临床使用的自动调节指数进行进一步分析。