Department of Neurobiology and Developmental Sciences, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Division of Pediatric Neurology, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas; Department of Neurology, Indiana University School of Medicine, Riley Hospital for Children at IU Health, Indianapolis, Indiana.
Pediatr Neurol. 2024 Feb;151:84-89. doi: 10.1016/j.pediatrneurol.2023.11.016. Epub 2023 Dec 1.
The Hammersmith Infant Neurological Examination (HINE) is a standardized assessment that identifies early signs of cerebral palsy (CP). In practice, the clinician performs this assessment in its entirety, yielding a global score. This study aimed to investigate the individual HINE subscores and "asymmetries" as predictive indicators of CP.
In this retrospective nested case-control study, a pediatric neurologist performed the HINE on a cohort of three- to four-month-old former neonatal intensive care unit infants. The infants' neurodevelopmental outcomes were determined by chart review when they were aged two to three years. We performed univariate and multivariable logistic regression analyses to yield the accuracy of the global HINE score, HINE subscores, and "asymmetries" in classifying infants with and without CP.
Of the 108 infants on whom HINE was performed, 50 were either discharged due to normal developmental progress or were lost to follow-up. Of the remaining 58 subjects, 17 had CP and 41 did not. Receiver operator characteristic (ROC) curves of univariate models yielded the following area under the curve (AUC) scores: global HINE score (AUC = 0.75), "reflexes and reactions" (AUC = 0.80), "cranial nerve function" (AUC = 0.76), "asymmetries" (AUC = 0.75), and "movements" (AUC = 0.71). The ROC for our multivariable model (AUC = 0.91) surpassed the global HINE score's predictive value for CP.
The weighted combination of HINE subscores and "asymmetries" outperforms the global HINE score in predicting CP. These findings suggest the need for revisiting HINE, but further validation with a larger dataset is required.
汉密尔顿婴儿神经检查(HINE)是一种标准化评估方法,可识别脑瘫(CP)的早期迹象。在实践中,临床医生会完整地进行此项评估,得出一个总体评分。本研究旨在探讨 HINE 各个子项和“不对称性”作为 CP 预测指标的作用。
在这项回顾性巢式病例对照研究中,儿科神经科医生对曾在新生儿重症监护病房接受治疗的 3 至 4 个月大的婴儿进行 HINE 检查。通过对这些婴儿 2 至 3 岁时的图表回顾,确定他们的神经发育结果。我们进行了单变量和多变量逻辑回归分析,以确定 HINE 总体评分、子项和“不对称性”在区分有无 CP 的婴儿方面的准确性。
在接受 HINE 检查的 108 名婴儿中,50 名因正常发育进程而出院或失访。在其余的 58 名婴儿中,17 名患有 CP,41 名没有。单变量模型的受试者工作特征(ROC)曲线得出以下曲线下面积(AUC)评分:HINE 总体评分(AUC=0.75)、“反射和反应”(AUC=0.80)、“颅神经功能”(AUC=0.76)、“不对称性”(AUC=0.75)和“运动”(AUC=0.71)。多变量模型的 ROC(AUC=0.91)超过了 HINE 总体评分对 CP 的预测价值。
HINE 子项和“不对称性”的加权组合在预测 CP 方面优于 HINE 总体评分。这些发现表明需要重新审视 HINE,但需要更大的数据集进行进一步验证。