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Clinical and genetic factors predicting Dravet syndrome in infants with SCN1A mutations

Valentina Cetica1, Sara Chiari1, Davide Mei1

  • 1From the Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories (V.C., S.C., D.M., E.P., C.M., D.P., R.G.), Neuroscience Department, A Meyer Children's Hospital, University of Florence; Department of Statistics, Computer Science and Applications (L.G.), University of Florence; Division of Child Neurology and Psychiatry Epilepsy and Clinical Neurophysiology Laboratory (A.F., F.S., R.G.), IRCCS Stella Maris Foundation, Pisa; Department of Neurosciences (N.S., M.T.), Neurology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome; Child Neuropsichiatry Fondazione Policlinico Universitario Agostino Gemelli (D.B., I.C.), Università Cattolica del Sacro Cuore, Rome; Child Neuropsychiatry Unit (N.Z., C.P.), Ospedali Riuniti, Ancona; and Department of Pediatric Neuroscience (T.G., F.R., G.A.), Foundation IRCCS Neurological Institute C. Besta, Milan, Italy.

Neurology
|February 17, 2017
PubMed

Insights

Early seizure onset in infants with SCN1A mutations predicts Dravet syndrome. Age at first seizure is a better predictor than mutation type for prognosis in these children.

Area of Science:

  • Genetics
  • Neurology
  • Pediatrics

Background:

  • SCN1A gene mutations are a leading cause of epilepsy in infants.
  • Dravet syndrome is a severe form of epilepsy often associated with SCN1A mutations.
  • Predicting the clinical course of SCN1A-related epilepsy is crucial for early intervention.

Purpose of the Study:

  • To investigate the prognostic value of initial clinical and genetic findings in infants with SCN1A mutations.
  • To differentiate between Dravet syndrome and milder epilepsy outcomes based on early indicators.

Main Methods:

  • Retrospective analysis of 182 SCN1A mutation carriers.
  • Clinical data included age/fever at first seizure, family history, and EEG findings.
  • Mutation types were analyzed alongside clinical data using ROC curves and predictive values.

Main Results:

  • Age at first seizure and frameshift mutations were associated with Dravet syndrome.
  • Seizure onset within the first 6 months predicted Dravet syndrome with 83.3% sensitivity and 76.6% specificity.
  • Risk of Dravet syndrome was 85% for onset at 0-6 months, decreasing to 51% for 6-12 months.

Conclusions:

  • Infant seizure onset age is a stronger predictor of Dravet syndrome than mutation type.
  • Early recognition and management of seizures in the first year may prevent progression to epileptic encephalopathy.
Abstract

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