Predictive value of electroencephalogram, event-related potential, and general movements quality assessment in neurodevelopmental outcome of high-risk infants.

Objective: The objective of the study is to investigate the predictive value of electroencephalogram (EEG), event-related potential (ERP), and general movements (GMs) quality assessment in the neurodevelopmental outcome of high-risk infants at one year old.

Methods: EEG and ERP were performed in high-risk infants at four weeks old, and GMs quality was evaluated once at 4 weeks and once at 12 weeks. The Gesell score was used to assess neurodevelopment outcome at one year old. A comparative analysis of the effects of EEG, GMs, EEG + ERP, and EEG + ERP + GMs was used to predict high-risk neonatal neurodevelopmental outcome.

Results: Of 71 high-risk infants at the age of one year, 3 (4.23%) had cerebral palsy, 14 (19.72%) had psychomotor retardation, and 54 (76.05%) were normal. The sensitivity, specificity, positive predictive value, and negative predictive value of EEG + ERP + GMs method were 90.00%, 95.08%, 75.00%, and 98.31%, respectively, and these indexes were the highest among the four methods (EEG, GMs, EEG + ERP, and EEG + ERP + GMs). The kappa statistic for the reliability of predicting neurodevelopmental outcome of high risk newborns by the EEG + ERP + GMs method was substantial at 0.785, while the other three methods obtained relatively low Kappa values (0.599, 0.586, and 0.712, respectively).

Conclusions: The combination of EEG, ERP, and GMs quality assessment can greatly improve the prediction of neurodevelopmental outcome of high-risk newborns.