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Quantitative EEG improves prediction of Sturge-Weber syndrome in infants with port-wine birthmark
Affiliation:1. Kennedy Krieger Institute, Baltimore, MD, USA;2. Johns Hopkins University, Baltimore, MD, USA
Abstract:ObjectivePort-wine birthmark (PWB) is a common occurrence in the newborn, and general pediatricians, dermatologists, and ophthalmologists are often called on to make an assessment of risk for Sturge-Weber syndrome (SWS) due to workforce shortages in pediatric neurologists and MRI’s low sensitivity for SWS brain involvement in infants. We therefore aimed to develop a quantitative EEG (qEEG) approach to safely screen young infants with PWB for SWS risk and optimal timing of diagnostic MRI.MethodsForty-eight infants (prior to first birthday) underwent EEG recording. Signal processing methods compared voltage between left and right sides using a previously defined pipeline and diagnostic threshold. In this test sample, we compared sensitivity/specificity of the qEEG metric against MRI performed after the first birthday. We also used likelihood ratio testing to determine whether qEEG adds incremental information beyond topographical extent of PWB, another risk marker of brain involvement.ResultsqEEG helped predict SWS risk in the first year of life (p = 0.031), with a sensitivity of 50% and a specificity of 81%. It added about 40% incremental information beyond PWB extent alone (p = 0.042).ConclusionqEEG adds information to risk prediction in infants with facial PWB.SignificanceqEEG can be used to help determine whether to obtain an MRI in the first year of life. The data collected can assist in developing a predictive model risk calculator that incorporates both PWB extent and qEEG results, which can be validated and then employed in the community.
Keywords:Ischemia  Port-wine birthmark  Sturge-Weber syndrome  Quantitative EEG  Predictive model  Prognostic biomarker  Diagnostic biomarker  AUC"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0045"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  area under the curve  EEG"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0055"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  electroencephalogram  LR"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0065"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  likelihood ratio  KKI-SWSC"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0075"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Kennedy Krieger Institute Sturge-Weber Syndrome Center  LOOCV"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0085"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  leave-one-out cross-validation  NPV"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0095"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  negative predictive value  PPV"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0105"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  positive predictive value  PWB"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0115"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  port-wine birthmark  qEEG"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0125"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  quantitative electroencephalogram  STARD"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0135"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Standards for the Reporting of Diagnostic Accuracy Studies  SWS"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0145"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Sturge-Weber syndrome  SWS-NRS"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0155"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  SWS-neurological rating scale
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