Academic Neurosurgical Unit, University of Cambridge Clinical School, Department of Clinical Neurosciences, Addenbrooke's Hospital, Cambridge, United Kingdom.
Neurosurgery. 2012 Oct;71(4):853-61. doi: 10.1227/NEU.0b013e3182675b42.
It has been postulated that the Gosling pulsatility index (PI) assessed with transcranial Doppler (TCD) has a diagnostic value for noninvasive estimation of intracranial pressure (ICP) and cerebral perfusion pressure (CPP).
To revisit this hypothesis with the use of a database of digitally stored signals from a cohort of head-injured patients.
We analyzed prospectively collected data of patients admitted to the Cambridge Neuroscience critical care unit who had continuous recordings of arterial blood pressure, ICP, and cerebral blood flow velocities (FVs) using TCD. PI was calculated (FVsys-FVdia)/FVmean over each recording session. Statistical analysis was performed using Spearman rank correlation, receiver-operator-characteristics methods, and modeling of a nonlinear PI-ICP/CPP graph.
Seven hundred sixty-two recorded daily sessions from 290 patients were analyzed with a total recording time of 499.9 hours. The correlation between PI and ICP was 0.31 (P<.001) and for PI and CPP -0.41 (P<.001). The 95% prediction interval of ICP values for a given PI was more than ±15 mm Hg and for CPP more than ±25 mm Hg. The diagnostic value of PI to assess ICP area under the curve ranged from 0.62 (ICP>15 mm Hg) to 0.74 (ICP>35 mm Hg). For CPP, the area under the curve ranged from 0.68 (CPP<70 mm Hg) to 0.81 (CPP<50 mm Hg). Probability charts for elevated ICP/lowered CPP depending on PI were created.
Overall, the value of TCD-PI to assess ICP and CPP noninvasively is very limited. However, extreme values of PI can still potentially be used in support of a decision for invasive ICP monitoring.
已有研究提出,经颅多普勒(TCD)检测的鹅颈征搏动指数(PI)具有诊断价值,可无创性评估颅内压(ICP)和脑灌注压(CPP)。
利用头部受伤患者的数据库中数字存储的信号,重新验证这一假说。
我们分析了剑桥神经科学重症监护病房连续记录动脉血压、ICP 和经颅多普勒(TCD)脑血流速度(FV)的患者前瞻性采集的数据。在每次记录期间计算(FVsys-FVdia)/FVmean 的 PI。使用 Spearman 秩相关、受试者工作特征(ROC)方法和非线性 PI-ICP/CPP 图的建模进行统计分析。
共分析了 290 例患者的 762 个记录日,总记录时间为 499.9 小时。PI 与 ICP 之间的相关性为 0.31(P<.001),PI 与 CPP 之间的相关性为-0.41(P<.001)。对于给定的 PI,ICP 值的 95%预测区间超过±15mmHg,对于 CPP 值超过±25mmHg。PI 评估 ICP 的曲线下面积(AUC)范围为 0.62(ICP>15mmHg)至 0.74(ICP>35mmHg)。对于 CPP,AUC 范围为 0.68(CPP<70mmHg)至 0.81(CPP<50mmHg)。创建了基于 PI 的升高 ICP/降低 CPP 的概率图。
总体而言,TCD-PI 评估 ICP 和 CPP 的无创价值非常有限。然而,PI 的极值仍有可能被用于支持进行有创 ICP 监测的决策。