Kadri Munaf, Shu Stanford, Holshouser Barbara, Deming Douglas, Hopper Andrew, Peverini Ricardo, Ashwal Stephen
Department of Pediatrics, Division of Neonatology, Loma Linda University School of Medicine, Loma Linda, CA, USA.
J Perinatol. 2003 Apr-May;23(3):181-5. doi: 10.1038/sj.jp.7210913.
Prediction of neurologic outcome is difficult in neonates with acute nervous system injury. Previous studies using proton magnetic resonance spectroscopy ((1)H-MRS) have been used to predict short-term neurologic outcome in neonates with a variety of neurologic insults. We were interested in determining the effectiveness of combining clinical evaluation and spectroscopy obtained at the time of injury in predicting neurologic outcome at 24 months.
We studied 33 neonates with acute central nervous system injury, 5.8+/-3.7 days of injury, owing to hypoxic-ischemic encephalopathy. Neonates were assessed using clinical variables (initial arterial pH, initial blood glucose, Sarnat score, electroencephalography) and spectroscopy (NAA/Cho, NAA/Cre, Cho/Cre, and lactate). Neonates were divided into two outcome groups: good/moderate and poor. Differences between the groups were assessed using chi(2) and t-test analyses. We analyzed the best predictors of outcome using discriminant analysis and calculated sensitivity, specificity, positive, and negative predictive values for each variable independently and in combination.
There were significant differences between the good/moderate and poor outcome for the Sarnat score, EEG, lactate, and NAA/Cho. Spectroscopy combined with clinical variables improved sensitivity, but not specificity for predicting outcome. The presence of lactate had the best individual predictive value. Combination of the clinical with the MRS variables had the highest predictive value.
Proton magnetic resonance spectroscopy done early after injury improves the ability to predict neurologic outcome at 24 months of age.
对于患有急性神经系统损伤的新生儿,预测其神经学转归具有挑战性。既往使用质子磁共振波谱((1)H-MRS)的研究已用于预测患有各种神经损伤的新生儿的短期神经学转归。我们感兴趣的是确定在损伤时结合临床评估和波谱分析来预测24个月时神经学转归的有效性。
我们研究了33例因缺氧缺血性脑病导致急性中枢神经系统损伤且损伤时间为5.8±3.7天的新生儿。使用临床变量(初始动脉血pH值、初始血糖、萨纳特评分、脑电图)和波谱分析(NAA/Cho、NAA/Cre、Cho/Cre和乳酸)对新生儿进行评估。将新生儿分为两个转归组:良好/中等和不良。使用卡方检验和t检验分析评估两组之间的差异。我们使用判别分析分析转归的最佳预测因素,并分别及联合计算每个变量的敏感性、特异性、阳性和阴性预测值。
萨纳特评分、脑电图、乳酸和NAA/Cho在良好/中等和不良转归之间存在显著差异。波谱分析与临床变量相结合提高了预测转归的敏感性,但未提高特异性。乳酸的存在具有最佳的个体预测价值。临床变量与MRS变量的联合具有最高的预测价值。
损伤后早期进行质子磁共振波谱分析可提高预测24个月龄时神经学转归的能力。