MRI-EEG correlation for outcome prediction in postanoxic myoclonus: A multicenter study

Isabelle Beuchat1, Adithya Sivaraju1, Edilberto Amorim1

  • 1From the Department of Clinical Neuroscience, Neurology Service (I.B., A.O.R.), and Department of Diagnostic and Interventional Radiology (V.D.), Lausanne University Hospital and University of Lausanne, Switzerland; Division of Clinical Neurophysiology and Comprehensive Epilepsy Center (A.S., E.J.G.), Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Neurology (E.A., M.B.W.), Massachusetts General Hospital, Harvard Medical School, Boston; and Departments of Radiology (L.H.), Medicine/Cardiology (B.S., D.S.), and Neurology (I.B., K.T., J.W.L.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA.

Neurology
|June 3, 2020
PubMed
Abstract

Insights

Combining EEG and MRI accurately predicts outcomes in patients with postanoxic myoclonus (PAM) after cardiac arrest (CA). Continuous EEG background and no anoxic brain injury on MRI indicate a good prognosis.

Area of Science:

  • Neurology
  • Neuroimaging
  • Critical Care Medicine

Background:

  • Postanoxic myoclonus (PAM) following cardiac arrest (CA) presents a significant challenge in predicting patient outcomes.
  • Early and accurate prognostication is crucial for guiding clinical management and patient care decisions.

Purpose of the Study:

  • To evaluate the combined prognostic capability of electroencephalography (EEG) and magnetic resonance imaging (MRI) in identifying patients with good outcomes in PAM.
  • To develop a predictive model utilizing EEG and MRI findings for improved outcome prediction in PAM patients.

Main Methods:

  • A prospective study involving 78 adult patients with PAM who underwent MRI within 20 days of CA.
  • EEG analysis included background continuity, reactivity, epileptiform activity, and burst suppression with identical bursts (BSIB).
  • MRI assessment focused on diffusion restriction and fluid-attenuated inversion recovery (FLAIR) changes indicative of anoxic brain injury.

Main Results:

  • Only 14.1% of patients recovered to follow commands at discharge, with 7.7% achieving good outcome (Cerebral Performance Category < 3) at 3 months.
  • Patients with good outcomes exhibited preserved brainstem reflexes, motor activity, continuous and reactive EEG, absence of BSIB, and no anoxic MRI changes.
  • The combination of continuous EEG background and absence of anoxic MRI changes demonstrated high sensitivity (91%) and specificity (99%) for predicting coma recovery.

Conclusions:

  • EEG and MRI are complementary tools for accurately predicting both good and poor outcomes in patients with PAM.
  • An MRI is recommended for patients with myoclonus exhibiting continuous or reactive EEGs to enhance prognostic accuracy.

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