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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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http://dx.doi.org/10.1212/WNL.0000000000009610 | DOI Listing |
Neurocrit Care
August 2025
Paris Brain Institute, ICM, Sorbonne Université, Paris, France.
Continuous electroencephalographic (EEG) monitoring has become a standard of care in several contexts in the intensive care unit (ICU), especially for the management of refractory status epilepticus. ICU patients often present movement disorders that may be of epileptic or nonepileptic origin, and their correct identification is crucial for the diagnostic and therapeutic process. Video analysis is often insufficient to precisely detect or characterize movement disorders and the ICU environment is prone to many artifacts.
View Article and Find Full Text PDFBrain Sci
December 2024
Department of Medicine, Division of Neurology, Queen's University, Kingston, ON K7L 3N6, Canada.
Background/objectives: Cardiac arrest may cause significant hypoxic-ischemic injury leading to coma, seizures, myoclonic jerks, or status epilepticus. Mortality is high, but accurate prognostication is challenging. A multimodal approach is employed, in which electroencephalography (EEG) forms a key part with several recognised patterns of prognostic significance.
View Article and Find Full Text PDFClin Neurophysiol
January 2025
Epilepsy Center, Neurological Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA; Department of Neurology, Case Western Reserve University School of Medicine, Cleveland, OH, USA. Electronic address:
J Intensive Care Med
March 2025
Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Purpose: Myoclonus after anoxic brain injury is a marker of significant cerebral injury. Absent cortical signal (N20) on somatosensory evoked potentials (SSEPs) after cardiac arrest is a reliable predictor of poor neurological recovery when combined with an overall clinical picture consistent with severe widespread neurological injury. We evaluated a clinical question of if SSEP result could be predicted from other clinical and neurodiagnostic testing results in patients with post-anoxic myoclonus.
View Article and Find Full Text PDFResuscitation
May 2023
Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: