Goeral Katharina, Urlesberger Berndt, Giordano Vito, Kasprian Gregor, Wagner Michael, Schmidt Lisa, Berger Angelika, Klebermass-Schrehof Katrin, Olischar Monika
Division of Neonatology, Intensive Care and Neuropediatrics, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria.
Neonatology. 2017;112(3):193-202. doi: 10.1159/000468976. Epub 2017 Jul 14.
Few data have been published on the combined use of amplitude-integrated electroencephalography (aEEG) and near-infrared spectroscopy (NIRS) for outcome prediction in neonates cooled for hypoxic-ischemic encephalopathy (HIE).
Our aim was to evaluate the predictive values and the most powerful predictive combinations of single aEEG and NIRS parameters and the respective cut-off values with regard to short-term outcomes in HIE II.
aEEG and NIRS were prospectively studied at the Medical University of Vienna in the first 102 h of life with regard to magnetic resonance imaging (MRI). Thirty-two neonates diagnosed with HIE II treated with hypothermia were investigated. The measurement period was divided into 6-h epochs. According to MRI, 2 outcome groups were defined and predictive values of aEEG parameters, regional cerebral oxygen saturation (rScO2), and the additional value of both methods combined were studied. Receiver operating curves (ROC) were obtained and area under the curve (AUC) values were calculated. ROC were then used to detect the optimal cut-off points, sensitivity, specificity, positive predictive values, and negative predictive values.
At all time epochs, combined parameter scores were more predictive than single parameter scores. The highest AUC were observed between 18 and 60 h of cooling for the aEEG summation score (0.72-0.84) and for (background pattern + seizures) × rScO2 (0.79-0.85). At 42-60 h sensitivity was similar between those 2 scores (87.5-90.0%), but the addition of NIRS to aEEG led to an increase in specificity (from 52.4-59.1% to 72.7-90.5%).
In HIE II, aEEG and NIRS are important predictors of short-term outcome. The combination of both methods improves prognostication. The highest predictive abilities were observed between 18 and 60 h of cooling.
关于联合应用振幅整合脑电图(aEEG)和近红外光谱(NIRS)对缺氧缺血性脑病(HIE)新生儿进行亚低温治疗的预后预测,目前发表的数据较少。
我们的目的是评估单一aEEG和NIRS参数的预测价值、最有效的预测组合以及各自的截断值对HIE II短期预后的影响。
维也纳医科大学对32例诊断为HIE II并接受亚低温治疗的新生儿在出生后102小时内进行了aEEG和NIRS的前瞻性研究,并与磁共振成像(MRI)结果进行对比。测量期分为6小时时段。根据MRI结果定义了2个预后组,并研究了aEEG参数、局部脑氧饱和度(rScO2)的预测价值以及两种方法联合应用的附加价值。绘制了受试者工作特征曲线(ROC)并计算曲线下面积(AUC)值。然后用ROC检测最佳截断点、敏感性、特异性、阳性预测值和阴性预测值。
在所有时段,联合参数评分比单一参数评分更具预测性。在降温18至60小时期间,aEEG总和评分(0.72 - 0.84)以及(背景模式 + 癫痫发作)×rScO2(0.79 - 0.85)的AUC最高。在42至60小时时,这两个评分的敏感性相似(87.5 - 90.0%),但将NIRS与aEEG联合应用可提高特异性(从52.4 - 59.1%提高到72.7 - 90.5%)。
在HIE II中,aEEG和NIRS是短期预后的重要预测指标。两种方法联合应用可改善预后评估。在降温18至60小时期间预测能力最高。