Researchers develop first-of-its-kind predictionmodel for newborn seizures
Researchers from the Neuroscience Center at Children's Hospital of Philadelphia have developed a prediction model that determines which newborn babies are likely to experience seizures in the Neonatal Intensive Care Unit . This model could be incorporated into routine care to help the clinical team decide which babies will need electroencephalograms and which babies can be safely managed in the Neonatal Care Unit without monitoring through EEGs.
Current guidelines suggest that newborns with HIE undergo four to five days of EEG monitoring to detect seizures. However, this approach is not always feasible, as many of these babies receive care in NICUs that do not have access to continuous EEG . Even NICUs in large health care networks often only have limited EEG resources, especially as the interpretation of EEG readings is time-intensive for the entire care team, including physicians and technologists.
Predicting which newborns will experience seizures is complex, and prior attempts to predict future seizures using clinical and EEG data have not yielded highly accurate results. To help address these issues, researchers at CHOP used data from a recently developed EEG reporting form that is used for all EEGs to build prediction models using machine learning methods.," first study author Jillian McKee, MD, Ph.D.
The researchers built their seizure prediction models based on standardized EEG features reported in the
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