PT  - JOURNAL ARTICLE
AU  - Isabelle Beuchat
AU  - Adithya Sivaraju
AU  - Edilberto Amorim
AU  - Emily J. Gilmore
AU  - Vincent Dunet
AU  - Andrea O. Rossetti
AU  - M. Brandon Westover
AU  - Liangge Hsu
AU  - Benjamin M. Scirica
AU  - Danuzia Silva
AU  - Kathleen Tang
AU  - Jong Woo Lee
TI  - MRI–EEG correlation for outcome prediction in postanoxic myoclonus
AID  - 10.1212/WNL.0000000000009610
DP  - 2020 Jul 28
TA  - Neurology
PG  - e335--e341
VI  - 95
IP  - 4
4099  - http://n.neurology.org/content/95/4/e335.short
4100  - http://n.neurology.org/content/95/4/e335.full
SO  - Neurology2020 Jul 28; 95
AB  - 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.ADC=apparent diffusion coefficient; AUC=area under the receiver operating characteristic curve; BSIB=burst suppression with identical bursts; CA=cardiac arrest; CI=confidence interval; CPC=Cerebral Performance Category; PAM=postanoxic myoclonus; TTM=targeted temperature management; WLST=withdrawal of life-sustaining treatment