Quantitative EEG in relation to outcome after cardiac arrest


Quantitative EEG in relation to outcome after cardiac arrest


Hanan Hosnya¹, Mona Nadab¹, Ehab Shakerb², Amani Nawitob¹, Mohamed Seleemc, Rehab Hassana¹
Department of Clinical Neurophysiology¹, Neurology², Beni Suef Universitya, Cairo Universitya, National Heart Institute Hospitalc, Egypt


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Background: Quantitative EEG (QEEG) techniques have been utilized to evaluate hypoxic ischemic encephalopathy following cardiorespiratory arrest, however the use many new expensive software programs is limited by availability In this study we explored the value of common QEEG techniques as amplitude and frequency analysis in the assessment of a series of patients following cardiac arrest.
Methods:Forty patients who regained spontaneous circulation after cardiac arrest were recruited and classified into 2 groups according to outcome, group A (favorable outcome), and group B (unfavorable outcome). Methods: All patients were subjected to clinical assessment including Full Outline of Unresponsiveness (FOUR) scale, conventional EEG and QEEG at Day 1, 3, and 7 from restoration of spontaneous circulation. Results: Eighteen patients (45%) were discharged after recovery (favorable outcome) and twenty two patients (55%) died in hospital (unfavorable outcome). The survived patients had shorter resuscitation time and had higher scores using the FOUR scale. Conventional EEG data showed more patients in the unfavorable outcome group to have epileptiform discharges and poor background reactivity. QEEG showed increased mean amplitude and absolute delta power in patients with poor outcome while the absolute theta and alpha power was increased in the patients with good outcome.
Conclusion: Quantitative EEG using readily available software programs showed significant results when comparing patients with good outcome and those with poor outcome after resuscitation from cardiac arrest.


Keywords: Quantitative Electroencephalography; Cardiac arrest; hypoxic ischemic encephalopathy

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How to cite this article:
Pragalya A and Priya Iyer. Extraction of dopamine, serotonin, and gamma-aminobutyric acid from lactobacillus.spp and yeast. International Journal of Neuroscience Research, 2018; 2:8. DOI: 10.28933/ijnr-2018-08-0101.

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