Literature DB >> 16443132

Clinical neurophysiologic monitoring and brain injury from cardiac arrest.

Matthew A Koenig1, Peter W Kaplan, Nitish V Thakor.   

Abstract

Electrophysiologic testing continues to play an important role in injury stratification and prognostication in patients who are comatose after cardiac arrest. As discussed previously, however, the adage about treating whole patients, not just the numbers, is relevant in this situation. EEG and SSEP can offer high specificity for discerning poor prognosis as long as they are applied to appropriate patient populations. As discussed previously, EEG and SSEP patterns change during the first hours to days after cardiac arrest and negative prognostic information should not be based solely on studies performed during the first 24 hours. Both electrophysiologic techniques also are susceptible to artifacts that may worsen the electrical patterns artificially and suggest a falsely poor prognosis. EEG is suppressed by anesthetic agents and hypothermia, both of which may produce ECS and burst suppression. Patients who experience respiratory arrest from a toxic ingestion of narcotics or barbiturates, in particular, may present with high-grade EEG patterns initially. Many patients also receive anesthetic medications at the time of tracheal intubation, which may linger beyond their normal half-life in patients who have hepatic or renal insufficiency or concurrent use of interacting medications. SSEP is much less susceptible to sedative anesthetic agents, but hypothermia is demonstrated to prolong evoked potential latencies. As therapeutic hypothermia becomes more common after cardiac arrest, the effect of temperature on electrophysiologic testing needs to be taken into account. The publications discussed previously also emphasize the need to adjust the prognostic value of electro-physiologic tests to the pretest probability of meaningful neurologic recovery in individual patients. Clearly, grade I EEG patterns and normal N20 potentials indicate a much better prognosis in patients who have a short du-ration of cardiac arrest, short duration of coma after resuscitation, and when the studies are performed within the first few days. In patients who remain in coma days after resuscitation and lack appropriate brainstem reflexes, however, even the most normal appearing electrophysiologic patterns do little to change the overall prognosis. Aside from prognostication, electrophysiologic testing holds great promise in defining the basic anatomy and physiology of coma emergence after cardiac arrest. In addition, quantitative EEG and automated evoked potentials have the potential to render these tools less subjective and arcane and more applicable for monitoring patients in the period during and immediately after resuscitation. Quantitative EEG also has great potential asa tool to define the time window for neuroprotective intervention and the means to track the response to such therapies in real time.

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Year:  2006        PMID: 16443132     DOI: 10.1016/j.ncl.2005.11.003

Source DB:  PubMed          Journal:  Neurol Clin        ISSN: 0733-8619            Impact factor:   3.806


  26 in total

1.  Prognosis after cardiac arrest and hypothermia: a new paradigm.

Authors:  Edgar A Samaniego; Suzanne Persoon; Christine A C Wijman
Journal:  Curr Neurol Neurosci Rep       Date:  2011-02       Impact factor: 5.081

Review 2.  Continuous EEG monitoring in the intensive care unit.

Authors:  Jeffrey D Kennedy; Elizabeth E Gerard
Journal:  Curr Neurol Neurosci Rep       Date:  2012-08       Impact factor: 5.081

Review 3.  Clinical Electroencephalography for Anesthesiologists: Part I: Background and Basic Signatures.

Authors:  Patrick L Purdon; Aaron Sampson; Kara J Pavone; Emery N Brown
Journal:  Anesthesiology       Date:  2015-10       Impact factor: 7.892

Review 4.  Justified use of painful stimuli in the coma examination: a neurologic and ethical rationale.

Authors:  Michael A Williams; Cynda H Rushton
Journal:  Neurocrit Care       Date:  2009-03-07       Impact factor: 3.210

5.  The human burst suppression electroencephalogram of deep hypothermia.

Authors:  M Brandon Westover; Shinung Ching; Vishakhadatta M Kumaraswamy; Seun Oluwaseun Akeju; Eric Pierce; Sydney S Cash; Ronan Kilbride; Emery N Brown; Patrick L Purdon
Journal:  Clin Neurophysiol       Date:  2015-01-16       Impact factor: 3.708

6.  The bispectral index and suppression ratio are very early predictors of neurological outcome during therapeutic hypothermia after cardiac arrest.

Authors:  David B Seder; Gilles L Fraser; Tracy Robbins; Laurel Libby; Richard R Riker
Journal:  Intensive Care Med       Date:  2009-10-22       Impact factor: 17.440

Review 7.  Post-anoxic vegetative state: imaging and prognostic perspectives.

Authors:  Mario Stanziano; Carolina Foglia; Andrea Soddu; Francesca Gargano; Michele Papa
Journal:  Funct Neurol       Date:  2011 Jan-Mar

8.  Changes in input strength and number are driven by distinct mechanisms at the retinogeniculate synapse.

Authors:  David J Lin; Erin Kang; Chinfei Chen
Journal:  J Neurophysiol       Date:  2014-05-21       Impact factor: 2.714

9.  Diffusion-weighted magnetic resonance imaging for predicting the clinical outcome of comatose survivors after cardiac arrest: a cohort study.

Authors:  Seung Pill Choi; Kyu Nam Park; Hae Kwan Park; Jee Young Kim; Chun Song Youn; Kook Jin Ahn; Hyeon Woo Yim
Journal:  Crit Care       Date:  2010-02-12       Impact factor: 9.097

10.  Coma due to cardiac arrest: prognosis and contemporary treatment.

Authors:  Donald W Marion
Journal:  F1000 Med Rep       Date:  2009-11-26
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