The University of Texas Southwestern Medical Center at Dallas, Department of Neurology and Neurosurgery, Dallas, Texas, USA.
University of Texas Houston McGovern Medical School, Department of Pulmonary and Critical Care Medicine, Houston, Texas, USA.
World Neurosurg. 2022 Aug;164:2-7. doi: 10.1016/j.wneu.2022.04.123. Epub 2022 May 4.
External ventricular drains (EVDs) provide a temporary egress for cerebrospinal fluid (CSF) in patients with symptomatic hydrocephalus following aneurysmal subarachnoid hemorrhage. Before EVD removal, a wean trial, which involves clamping the EVD, is typically attempted to ensure that CSF self-regulation is achieved. Automated infrared pupillometry (AIP) has been shown to detect early neurologic decline. We sought to explore the use of AIP to detect early EVD clamping trial failure.
This prospective observational pilot study enrolled aneurysmal subarachnoid hemorrhage patients before an EVD clamp trial. On initiating the clamp trial, nurses included hourly AIP assessment in documentation. Clamp trial outcome was based on neurologic examination and neuroimaging. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) models were constructed to explore computed tomography (CT) versus AIP as predictors of clamp trial outcome.
Among the 30 subjects enrolled, there were 38 clamping trials and 22 successful EVD removals. CT scan as a predictor of clamp trial was found to have a sensitivity of 68.8% and specificity of 89.5% (PPV = 84.6%, NPV = 77.3%). AIP assessment as a predictor of wean trial outcome was found to have a sensitivity of 58.3% and specificity of 100% (PPV = 100%, NPV = 63.2%).
The pilot study data support that Neurological Pupil index <3 is a potential indicator of early clamp trial failure, but a CT scan has a higher sensitivity and NPV for predicting successful EVD removal. This finding suggests the benefits of including AIP assessments during clamping trials.
在因颅内动脉瘤性蛛网膜下腔出血而出现症状性脑积水的患者中,外部脑室引流(EVD)为脑脊液(CSF)提供了临时出路。在移除 EVD 之前,通常会尝试进行 EVD 夹闭试验,以确保 CSF 自我调节得以实现。自动化红外瞳孔测量(AIP)已被证明可以检测早期神经功能下降。我们试图探索使用 AIP 来检测早期 EVD 夹闭试验失败。
本前瞻性观察性试点研究纳入了即将进行 EVD 夹闭试验的颅内动脉瘤性蛛网膜下腔出血患者。在开始夹闭试验时,护士将每小时的 AIP 评估纳入记录中。夹闭试验的结果基于神经检查和神经影像学。构建了灵敏度、特异性、阳性预测值(PPV)和阴性预测值(NPV)模型,以探索 CT 与 AIP 作为夹闭试验结果预测指标的效果。
在纳入的 30 例患者中,有 38 次夹闭试验和 22 次成功移除 EVD。CT 扫描作为夹闭试验的预测指标,其灵敏度为 68.8%,特异性为 89.5%(PPV=84.6%,NPV=77.3%)。AIP 评估作为夹闭试验结果的预测指标,灵敏度为 58.3%,特异性为 100%(PPV=100%,NPV=63.2%)。
试点研究数据支持,神经瞳孔指数(Neurological Pupil index,NPI)<3 可能是早期夹闭试验失败的指标,但 CT 扫描对预测成功移除 EVD 具有更高的灵敏度和 NPV。这一发现表明,在夹闭试验期间进行 AIP 评估可能具有益处。