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Author Spotlight: A Unique Mouse Model of Asphyxia-Induced Cardiac Arrest
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Inter-predictability of Neuroprognostic Modalities After Cardiac Arrest
Tapan Kavi1, Masoom Desai2, Furkan M Yilmaz1
1Neurology, Cooper Neurological Institute, Cooper University Hospital, Camden, USA.
Cureus
|July 2, 2019
Summary
Non-reactive electroencephalograms (EEG) and absent somatosensory evoked potentials (SSEP) are strong predictors of poor outcomes after cardiac arrest. These neuroprognostic tests show moderate inter-predictability, supporting a multi-modal approach.
Area of Science:
- Neurology
- Critical Care Medicine
- Neurophysiology
Background:
- Multi-modal neuro-prognostication after cardiac arrest is resource-intensive.
- Challenges exist in under-resourced settings for comprehensive prognostication.
- Inter-predictability of prognostic tests requires further investigation.
Purpose of the Study:
- To determine the inter-predictability and correlation of prognostic tests in post-cardiac arrest patients.
- To assess the relationship between EEG, SSEP, and MRI findings.
- To evaluate the predictive value of individual modalities for poor neurological outcome.
Main Methods:
- Retrospective study of 50 post-cardiac arrest patients.
- Data collection included clinical, radiological, and neurophysiological findings.
- Chi-square testing analyzed correlations between diagnostic modalities.
Main Results:
- Non-reactive EEG predicted absent N20 SSEP with 79% accuracy; absent N20 SSEP predicted non-reactive EEG with 87% accuracy.
- Absent N20 SSEP and non-reactive EEG showed 78% and 72% predictive value for anoxic brain injury on MRI, respectively.
- Individual modalities (absent N20 SSEP, non-reactive EEG, MRI anoxic injury) strongly predicted poor outcome (mRS > 4).
Conclusions:
- Neuroprognostication can be influenced by self-fulfilling prophecy.
- Lack of absolute correlation between modalities underscores the value of a multi-modal approach.
- Individual tests are highly predictive, but combined assessment is crucial.
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