Topography of MR lesions correlates with standardized EEG pattern in early comatose survivors after cardiac arrest
- PMID: 31982504
- DOI: 10.1016/j.resuscitation.2020.01.014
Topography of MR lesions correlates with standardized EEG pattern in early comatose survivors after cardiac arrest
Abstract
Aim: Multimodal prognostication in comatose patients after cardiac arrest (CA) is complicated by the fact that different modalities are usually not independent. Here we set out to systematically correlate early EEG and MRI findings.
Methods: 89 adult patients from a prospective register who underwent at least one EEG and one MRI in the acute phase after CA were included. The EEGs were characterized using pre-existent standardized categories (highly malignant, malignant, benign). For MRIs, the apparent diffusion coefficient (ADC) was computed in pre-defined regions. We then introduced a novel classification based on the topography of ADC reduction (MR-lesion pattern (MLP) 1: no lesion; MLP 2: purely cortical lesions; MLP 3: involvement of the basal ganglia; MLP 4 involvement of other deep grey matter regions).
Results: EEG background reactivity and EEG background continuity were strongly associated with a lower MLP value (p < 0.001 and p = 0.003 respectively). The EEG categories highly malignant, malignant and benign were strongly correlated with the MLP values (rho = 0.46, p < 0.001).
Conclusion: The MRI lesions are highly correlated with the EEG pattern. Our results suggest that performing MRI in comatose patients after CA with either highly malignant or with a benign EEG pattern is unlikely to yield additional useful information for prognostication, and should therefore be performed in priority in patients with intermediate EEG patterns ("malignant pattern").
Keywords: Cardiac arrest; Coma; EEG; Hypoxic ischemic encephalopathy; MRI; Prognostication.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.
Comment in
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Timing is everything: Combining EEG and MRI to predict neurological recovery after cardiac arrest.Resuscitation. 2020 Apr;149:240-242. doi: 10.1016/j.resuscitation.2020.02.006. Epub 2020 Feb 18. Resuscitation. 2020. PMID: 32084570 No abstract available.
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