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首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >Quantitative EEG Parameters for Prediction of Outcome in Severe Traumatic Brain Injury: Development Study
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Quantitative EEG Parameters for Prediction of Outcome in Severe Traumatic Brain Injury: Development Study

机译：用于预测重症创伤性脑损伤的结果的定量脑电图参数：发展研究

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摘要

Monitoring of quantitative EEG (QEEG) parameters in the intensive care unit (ICU) can aid in the treatment of traumatic brain injury (TBI) patients by complementing visual EEG review done by an expert. We performed an explorative study investigating the prognostic value of 59 QEEG parameters in predicting the outcome of patients with severe TBI. Continuous EEG recordings were done on 28 patients with severe TBI in the ICU of Turku University Hospital. We computed a set of QEEG parameters for each patient, and correlated these to patient outcome, measured by dichotomized Glasgow Outcome Scale (GOS) at a follow-up visit between 6 and 12 months, using area under receiver operating characteristic curve (AUC) as a nonlinear correlation measure. For 17 of the 59 QEEG parameters (28.8%), the AUC differed significantly from 0.5, most of these parameters measured EEG power or variability. The best QEEG parameters for outcome prediction were alpha power (AUC = 0.87, P .01) and variability of the relative fast theta power (AUC = 0.84, P .01). The results of this study indicate that QEEG parameters provide useful information for predicting outcome in severe TBI. Novel QEEG parameters with potential in outcome prediction were found, the prognostic value of these parameters should be confirmed in later studies. The results also provide further evidence of the usefulness of parameters studied in preexisting studies.
机译：监测重症监护单元（ICU）中的定量EEG（QEEG）参数可以通过补充专家的视觉脑电图审查来帮助治疗创伤性脑损伤（TBI）患者。我们进行了探索性研究，调查59例QEEG参数预测严重TBI患者结果的预后价值。在图尔库大学医院ICU的28名严重TBI患者上进行了连续的EEG录音。我们计算了每位患者的一组QEEG参数，并将这些QEEG参数相关，并将这些结果相关联，通过二分辐射的Glasgow成果量表（GOS）在6至12个月的后续访问中，使用接收器操作特征曲线（AUC）的面积进行后续访问。非线性相关度量。对于59个QEEG参数（28.8％）中的17个，AUC的差异显着不同，这些参数大多数测量EEG功率或可变性。结果预测的最佳QEEG参数是α功率（AUC = 0.87，P <.01）和相对快速θ功率的可变性（AUC = 0.84，P <.01）。该研究的结果表明，QEEG参数提供了预测严重TBI的结果的有用信息。发现具有结果预测潜力的新型QEEG参数，应在后续研究中确认这些参数的预后值。结果还提供了进一步证明预先存在的研究中参数有用性的证据。

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