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Published on: November 13, 2016
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.
Objective:
To examine the prognostic ability of the combination of EEG and MRI in identifying patients with good outcome in postanoxic myoclonus (PAM) after cardiac arrest (CA).
Methods:
Adults with PAM who had an MRI within 20 days after CA were identified in 4 prospective CA registries. The primary outcome measure was coma recovery to command following by hospital discharge. Clinical examination included brainstem reflexes and motor activity. EEG was assessed for best background continuity, reactivity, presence of epileptiform activity, and burst suppression with identical bursts (BSIB). MRI was examined for presence of diffusion restriction or fluid-attenuated inversion recovery changes consistent with anoxic brain injury. A prediction model was developed using optimal combination of variables.
Results:
Among 78 patients, 11 (14.1%) recovered at discharge and 6 (7.7%) had good outcome (Cerebral Performance Category < 3) at 3 months. Patients who followed commands were more likely to have pupillary and corneal reflexes, flexion or better motor response, EEG continuity and reactivity, no BSIB, and no anoxic injury on MRI. The combined EEG/MRI variable of continuous background and no anoxic changes on MRI was associated with coma recovery at hospital discharge with sensitivity 91% (95% confidence interval [CI], 0.59-1.00), specificity 99% (95% CI, 0.92-1.00), positive predictive value 91% (95% CI, 0.59-1.00), and negative predictive value 99% (95% CI, 0.92-1.00).
Conclusions:
EEG and MRI are complementary and identify both good and poor outcome in patients with PAM with high accuracy. An MRI should be considered in patients with myoclonus showing continuous or reactive EEGs.
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