Literature DB >> 24882044

Should we treat patients with impaired consciousness and periodic patterns on EEG?

Kay Wei Ping Ng1, Hung Chew Wong2, Rahul Rathakrishnan3.   

Abstract

PURPOSE: The significance of periodic EEG patterns in patients with impaired consciousness is controversial. We aimed to determine if treating these patterns influences clinical outcome.
METHOD: We studied all patients who had periodic discharges on their EEG recordings from January 2007 to December 2009. Patients with clinical seizures within the preceding 24h, or with unequivocal electrographical seizure activity were excluded. Logistic regression was performed to analyze for factors associated with (a) mortality (b) functional status (c) resolution of EEG pattern.
RESULTS: Of the 4246 patients who had EEG, 111 (2.6%) had periodic EEG patterns. 64 met inclusion criteria. In adjusted analysis, higher mortality was associated with acute symptomatic etiology (OR 17.74, 95% CI 1.61-196.07, p=0.019), and presence of clinical seizures (OR 4.73, 95% CI 1.10-20.34, p=0.037). For each unit decrement of GCS, the odds of inpatient mortality and a poorer functional state on discharge increased by 23% (95% CI 7-37%, p=0.009) and 33% (95% CI 9-51%, p=0.011) respectively. Administration of abortive therapy was an independent risk factor for poorer functional status on discharge (adjusted OR 41.39, 95% CI 2.88-594.42, p=0.006), while patients with history of pre-existing cerebral disease appeared more likely to return to baseline functional status on discharge (unadjusted OR 5.00, 95% CI 1.40-17.86, p=0.013).
CONCLUSION: Treatment of periodic EEG patterns does not independently improve clinical outcome of patients with impaired conscious levels. Occurrence of seizures remote to the time of EEG and lower GCS scores independently predict poor prognoses.
Copyright © 2014 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anti-epileptic drugs; Coma; EEG; Epilepsy/seizure disorders; Prognosis

Mesh:

Year:  2014        PMID: 24882044     DOI: 10.1016/j.seizure.2014.04.015

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  1 in total

1.  Epileptiform abnormalities predict delayed cerebral ischemia in subarachnoid hemorrhage.

Authors:  J A Kim; E S Rosenthal; S Biswal; S Zafar; A V Shenoy; K L O'Connor; S C Bechek; J Valdery Moura; M M Shafi; A B Patel; S S Cash; M B Westover
Journal:  Clin Neurophysiol       Date:  2017-01-29       Impact factor: 3.708

  1 in total

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