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Anesthetics and Outcome in Status Epilepticus: A Matched Two-Center Cohort Study

Overview
Journal CNS Drugs
Specialties Neurology
Pharmacology
Date 2016 Nov 30
PMID 27896706
Citations 22
Authors
Affiliations
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Abstract

Background: The use of anesthetics has been linked to poor outcome in patients with status epilepticus (SE). This association, however, may be confounded, as anesthetics are mostly administered in patients with more severe SE and critical illnesses.

Objective: To minimize treatment-selection bias, we assessed the association between continuously administered intravenous anesthetic drugs (IVADs) and outcome in SE patients by a matched two-center study design.

Methods: This cohort study was performed at the Johns Hopkins Bayview Medical Center, Baltimore, MD, USA and the University Hospital Basel, Basel, Switzerland. All consecutive adult SE patients from 2005 to 2013 were included. Odds ratios (ORs) for death and unfavorable outcome (Glasgow Outcome Score [GOS] 1-3) associated with administration of IVADs were calculated. To account for confounding by known outcome determinants (age, level of consciousness, worst seizure type, acute/fatal etiology, mechanical ventilation, and SE duration), propensity score matching and coarsened exact matching were performed in addition to multivariable regression models.

Results: Among 406 consecutive patients, 139 (34.2%) were treated with IVADs. Logistic regression analyses of the unmatched and matched cohorts revealed increased odds for death and unfavorable outcome in survivors who had received IVADs (unmatched: OR = 3.13, 95% confidence interval [CI] 1.47-6.60 and OR = 2.51, 95% CI 1.37-4.60; propensity score matched: OR = 3.29, 95% CI 1.35-8.05 and OR = 2.27, 95% CI 1.02-5.06; coarsened exact matched: OR = 2.19, 95% CI 1.27-3.78 and OR = 3.94, 95% CI 2.12-7.32).

Conclusion: The use of IVADs in SE is associated with death and unfavorable outcome in survivors independent of known confounders and using different statistical approaches. Randomized trials are needed to determine if these associations are biased by outcome predictors not yet identified and hence not accounted for in this study.

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