Abstract
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.
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