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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Prognostic factors in acute encephalopathy with reduced subcortical diffusion
Naoko Hayashi1, Akihisa Okumura, Tetsuo Kubota
1Department of Pediatrics, Hekinan Municipal Hospital, Aichi, Japan. naokohayashi11@hotmail.com
Brain & Development
|December 20, 2011
Summary
Prolonged seizures and loss of consciousness within 24 hours predict poor outcomes in children with acute encephalopathy with reduced subcortical diffusion (AED). Early intervention strategies may be needed for severe AED cases.
Area of Science:
- Pediatric Neurology
- Neuroimaging
- Critical Care Medicine
Background:
- Acute encephalopathy with reduced subcortical diffusion (AED) encompasses a range of conditions, including typical and atypical acute encephalopathy with biphasic seizures and late reduced diffusion (AESD).
- Understanding prognostic factors is crucial for managing severe subtypes of AED.
Purpose of the Study:
- To identify prognostic factors associated with outcomes in children diagnosed with AED.
- To analyze the efficacy of treatments such as steroids and immunoglobulins.
Main Methods:
- Retrospective analysis of 33 children diagnosed with AED, characterized by widespread diffusion restriction in cortical and subcortical structures.
- Evaluation of clinical courses, laboratory data, MRI findings, and treatment responses.
Main Results:
- Multivariate analysis identified prolonged seizures at onset and loss of consciousness 24 hours after onset as significant predictors of poor outcome.
- Elevated levels of aspartate aminotransferase, alanine aminotransferase, and creatinine kinase were observed in the poor outcome group.
- Treatment with steroids and/or immunoglobulins did not demonstrate a significant improvement in outcomes.
Conclusions:
- Prolonged seizures and delayed loss of consciousness are early indicators of severe AED.
- Further prospective studies are warranted to investigate the efficacy of early interventions for AED based on these predictive factors.
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