Predictive Value of Clinical and EEG Features in the Diagnosis of Stroke and Hypoxic Ischemic Encephalopathy in Neonates With Seizures | Zendy

Mubeen F. Rafay | Zendy; Miguel A. Cortez | Zendy; Gabrielle A. deVeber | Zendy; Cherrie Tan-Dy | Zendy; Amna AlFutaisi | Zendy; Woojin Yoon | Zendy; Shafagh Fallah | Zendy; Aideen M. Moore | Zendy

Open Access

Predictive Value of Clinical and EEG Features in the Diagnosis of Stroke and Hypoxic Ischemic Encephalopathy in Neonates With Seizures

Author(s) -

Mubeen F. Rafay,

Miguel A. Cortez,

Gabrielle A. deVeber,

Cherrie Tan-Dy,

Amna AlFutaisi,

Woojin Yoon,

Shafagh Fallah,

Aideen M. Moore

Publication year - 2009

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.109.547281

Subject(s) - medicine , stroke (engine) , electroencephalography , encephalopathy , univariate analysis , pediatrics , retrospective cohort study , neuroimaging , multivariate analysis , predictive value of tests , cohort , predictive value , anesthesia , psychiatry , mechanical engineering , engineering

In neonates, the differentiation of stroke and hypoxic ischemic encephalopathy (HIE) is important. Neuroimaging presents technical challenges in unstable neonates, resulting in frequently delayed or missed diagnosis of stroke. Differentiating clinical and electroencephalographic (EEG) features would assist physicians in the timely diagnosis. We sought to determine, in neonates with seizures, clinical and EEG features that differentiate stroke and HIE.

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