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. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: Stroke. 2015 Oct 15;46(12):3532–3535. doi: 10.1161/STROKEAHA.115.010875

Prophylactic Antiepileptic Drug Use and Outcome in the Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) Study

Kevin N Sheth 1, Sharyl R Martini 2, Charles J Moomaw 3, Sebastian Koch 4, Mitchell S V Elkind 5, Gene Sung 6, Steven J Kittner 7, Michael Frankel 8, Jonathan Rosand 9, Carl D Langefeld 10, Mary E Comeau 10, Salina Waddy 11, Jennifer Osborne 3, Daniel Woo 3, for the ERICH Investigators
PMCID: PMC4659755  NIHMSID: NIHMS726522  PMID: 26470777

Abstract

Background and Purpose

The role of antiepileptic drug (AED) prophylaxis following intracerebral hemorrhage (ICH) remains unclear. This analysis describes prevalence of prophylactic AED use, as directed by treating clinicians, in a prospective ICH cohort and tests the hypothesis that it is associated with poor outcome.

Methods

Analysis included 744 ICH patients enrolled in the Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) study prior to November 2012. Baseline clinical characteristics and AED use were recorded in standardized fashion. ICH location and volume were recorded from baseline neuroimaging. We analyzed differences in patient characteristics by AED prophylaxis, and we used logistic regression to test whether AED prophylaxis was associated with poor outcome. The primary outcome was 3 month modified Rankin Scale score, with 4–6 considered poor outcome.

Results

AEDs were used for prophylaxis in 289 (39%) of the 744 subjects; of these, levetiracetam was used in 89%. Patients with lobar ICH, craniotomy, or larger hematomas were more likely to receive prophlyaxis. Although prophylactic AED use was associated with poor outcome in an unadjusted model (OR=1.40; 95% CI=1.04–1.88; p=0.03), this association was no longer significant after adjusting for clinical and demographic characteristics (OR=1.11; 95% CI=0.74–1.65; p=0.62).

Conclusions

We found no evidence that AED use (predominantly levetiracetam) is independently associated with poor outcome. A prospective study is required to assess for a more modest effect of AED use on outcome following ICH.

Keywords: Intracerebral hemorrhage, stroke, seizure, critical care

Introduction

Intracerebral hemorrhage (ICH) is the most devastating stroke subtype.1 There is continued uncertainty regarding several aspects of acute management, including evaluation and management of seizures and the utility of seizure prophylaxis.2 Although seizures are common after ICH, the role of prophylactic antiepileptic drugs (AED) is controversial. In patients with ICH, however, AED use has been associated with worse functional and cognitive outcome.3 Prior reports commonly used phenytoin, and data on other anticonvulsants are limited:3, 4 As such, NINDS has identified the impact and role of AED use after ICH as an important knowledge gap.5 This analysis was designed to test the hypothesis that prophylactic AED use is associated with worse functional outcome after ICH.

Methods

Source Sample, Seizure History, and AED Use

Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) study methods have been previously described.6 Case report forms and baseline interviews included prior seizure history and AED use prior to ICH onset; medications, doses, and durations of AED administration during the hospital stay; and whether the agent was given for prophylaxis or seizure treatment. AED administration was at the discretion of treating physicians.

In order to isolate the impact of prophylactic AED use on outcome, subjects were excluded for seizures in the acute setting, taking an AED appropriate for epilepsy during the two weeks prior to onset, and missing documentation. Subjects without Glasgow Coma Score (GCS) or location, volume, and intraventricular (IVH) presence from CT data were also excluded. Because poor outcome was defined as 3 month mRS score ≥4,3 patients with pre-onset mRS scores of 4 or 5, as well as those lost to follow up, were excluded.

Statistical Analysis

Demographic and clinical characteristics were tested for differences among ethnicities and AED prescription using Wilcoxon rank sum test and chi square tests for contingency tables. Univariate and multivariate logistic regression models estimated the odds ratio (OR) and 95% confidence interval (CI) for associations of AED use with patient characteristics and tested for association with poor outcome at 3 months. A stepwise logistic regression model (forward selection with backward elimination) was computed with entry and exit criteria of p=0.05. Collinearity and variance inflation diagnostics evaluated model assumptions.

Power analysis estimated the odds ratio for AED use and worse outcome detectable with 0.80 and 0.99 power, given our sample size7. Power analysis with type 1 error rate α=0.05 gives 0.80 power to detect worse outcome associated with AED prophylaxis at an OR=1.5 (an effect 15.6% of that previously reported3), and 0.99 power to detect an OR=2.0.

Results

Description of the analytic cohort

We analyzed data for the first 1143 ERICH study patients who presented to emergency departments at enrolling sites between 10/13/2010 and 10/30/2012. Cases were excluded for the following (not mutually exclusive) reasons: seizure in the acute setting (n=101), AED use during the two weeks prior to onset (n=37), missing documentation regarding AED in the acute setting (n=8), GCS unavailable (n=29), neuroimaging data unavailable (n=98), pre-onset mRS of 4 or 5 (n=29), and loss to follow up at 3 months (n=194). Overall, the exclusion criteria removed 399 ICH subjects, leaving 744 for this analysis. Baseline variables are presented in Table 1. Of the 289 subjects (39%) who received AED for prophylaxis, the vast majority (89%) received levetiracetam.

Table 1.

Demographic and Clinical Characteristics (n=744)

Patient characteristics n (%)

Age in years (mean ± SD) 60.5 ± 14.6

Female 307 (41.3%)

Race/Ethnicity
 White non-Hispanic 182 (24.5%)
 Black non-Hispanic 307 (41.3%)
 Hispanic 255 (34.3%)

ICH Location
 Lobar 207 (27.8%)
 Non-Lobar
  Deep (includes 11 primary IVH) 446 (59.9%)
  Cerebellum 55 (7.4%)
  Brainstem 36 (4.8%)

Admission GCS, mean ± SD 12.4 ± 3.7
 median (IQR) 15 (11–15)

Hematoma Volume (cc), mean ± SD 20.64 ± 24.95
 range 0–152.96
 median (IQR) 11.46 (4.11–27.11)

Presence of Intraventricular Hemorrhage 337 (45.3%)

Craniotomy 56 (7.5%)

Warfarin during 2 weeks prior to onset of ICH 67 (9.0%)

AED prophylaxis during hospital stay 289 (38.8%)

AED medications, N (% of 289)
 levetiracetam 248 (85.8%)
 phenytoin/fosphenytoin 31 (10.7%)
 levetiracetam & phenytoin 10 (3.5%)

There were important racial/ethnic differences in patient characteristics (Supplemental Table I): white patients were older (p=3.59×10−18), more commonly had lobar ICH (p=8.05×10−6), and were more likely to be on warfarin prior to ICH (p=1.32×10−5). Black patients had smaller hematoma volumes (p=0.02) and more frequent IVH (p=0.04). Craniotomy was more frequent in Hispanic patients (p=<0.001).

Correlates of AED use

Baseline characteristics differed between subjects who received AED prophylaxis and those who did not (Table 2). AED use was markedly higher in lobar ICH subjects (p=6.4×10−9) and in those with larger hematomas (p=3.3×10−9). Craniotomy was more common in patients who received AED (p=0.001). AED recipients had lower GCS at admission (p=0.03), but the difference (12.2 vs. 12.6) is not clinically significant. In contrast, there were no differences in AED prophylaxis across age, sex, and race/ethnicity. Using stepwise logistic regression, only loge hematoma volume (p=1.4×10−5, OR=1.38, 95% CI=1.19–1.59) and lobar/non-lobar dichotomy (p=2.8×10−5, OR=2.09, 95% CI=1.48–2.95) were significantly associated with AED prophylaxis (p<0.05).

Table 2.

Patient characteristics associated with AED prophylaxis.

Variable AED prophylaxis (n=289) No AED prophylaxis (n=455) p

Age, mean ± SD (median) 60.8 ± 15.3 (59) 60.4 ± 14.1 (58) 0.79

Female 121 (41.9%) 186 (40.9%) 0.79

Race/Ethnicity 0.11
 White non-Hispanic 82 (28.4%) 100 (22.0%)
 Black non-Hispanic 117 (40.5%) 190 (41.8%)
 Hispanic 90 (31.1%) 165 (36.3%)

Lobar ICH 115 (39.8%) 92 (20.2%) <0.001

Admission GCS, mean ± SD (median) 12.2 ± 3.8 (14) 12.6 ± 3.7 (15) 0.03

Hematoma volume (cc), mean ± SD (median) 25.8 ± 26.3 (16.8) 17.4 ± 23.5 (9.2) <0.001

Intraventricular Hemorrhage 140 (48.4%) 197 (43.3%) 0.17

Craniotomy 33 (11.4%) 23 (5.1%) 0.001

Warfarin before ICH 26 (9.0%) 41 (9.0%) 0.99

P-values for differences between groups are based on the nonparametric Wilcoxon rank sums test for continuous variables and contingency table chi square statistics for categorical variables.

AED use as a predictor of outcomes

Several baseline variables were associated with poor outcome in unadjusted models (Supplemental Table II). In particular, lower admission GCS strongly predicted poor 3 month outcome (OR=0.75, p=1.0×10−24). Older age (5-year OR=1.26, p=5.5×10−6) and female sex (OR=1.58, p=0.002) were also associated with poor outcome. Larger hematoma volume (loge volume OR=2.37, p=2.5×10−25), presence of IVH (OR=3.81, p=1.0×10−18), craniotomy (OR=3.08, p<0.001), and prophylactic AED use (OR=1.40, p=0.03), were each associated with worse outcome at three months. We found no differences in three-month outcome among the three ethnicities (p=0.30), or with regard to p. After adjusting for GCS, age, race/ethnicity, sex, loge-transformed hematoma volume, presence of IVH, and craniotomy, prophylactic AED use was no longer associated with 3 month outcome (Table 3, OR=1.11, p=0.62). In fact, the univariate association for prophylactic AED use (p=0.03, Supplemental Table II) was no longer significant in simpler models that controlled only for ICH volume (OR=0.95, p=0.78, 95% CI=0.68–1.33) or GCS at admission (OR=1.31, p=0.11, 95% CI=0.94–1.82). In the full model, age, sex, increasing hematoma volume, lobar ICH, presence of IVH, and low GCS at admission remained significant predictors of poor outcome at 3 months.

Table 3.

Multivariable predictors of poor 3 month outcome (mRS≥4 vs. mRS<4)

Predictor Variables Odds Ratio 95% Confidence Interval p1

AED use 1.11 0.74–1.65 0.61

Ethnicity 0.65
 Hispanic 1.17 0.70–1.95
 Non-Hispanic Black 1.19 0.71–2.00

Female 1.60 1.08–2.36 0.02

Age 1.07 1.05–1.08 <0.001

Hematoma Volume1 2.39 1.94–2.95 <0.001

Lobar 0.31 0.19–0.51 <0.001

IVH Presence 2.17 1.46–3.22 <0.001

Admission GCS 0.81 0.76–0.87 <0.001
1

P-value, odds ratio (OR) and 95% confidence interval (CI) are from the multivariate logistic regression model. ICH volume is modeled as natural log(volume+1), with the OR corresponding to a change of one on the log scale. The OR for age of onset is for a change of 5.

Discussion

Our analysis of a large prospective observational ICH study does not support the hypothesis that AED prophylaxis, predominantly with the use of levetiracetam, is independently associated with poor outcome at three months. Despite recent American Heart Association/American Stroke Association guidelines,8 our observations suggest that AED prophylaxis following ICH is common. Our finding that AED use was no longer associated with poor outcome in univariate analysis after controlling for hematoma volume or admission GCS provides indirect evidence that patients with more severe ICH may preferentially receive AED prophylaxis. In Battey et al., when the cohort was restricted to patients surviving through day 5, any association between AED exposure and poor outcome disappeared.9 This also raises the possibility of confounding by indication, and makes adjustment for factors associated with poor outcome in ICH essential.9 Predictors of poor outcome in this analysis—advanced age, increasing hematoma volume, and low admission GCS—mirror other studies.10

In prior reports examining the association of AED prophylaxis with poor outcome, phenytoin was the predominant medication prescribed3,4,11. Fever and adverse cognitive effects were commonly observed3 and may mediate the relationship between phenytoin and poor outcome.12 Our study—the largest of its kind to date—is powered to detect effect sizes one seventh of those previously reported.3, 4 Another report also found no association between levetiracetam use and poor outcome, although the number of subjects was small and short-term seizure recurrence was the endpoint.11 Levetiracetam has been associated with improved outcome in a small observational analysis of ICH.13 In contrast to earlier reports in which phenytoin was the predominant AED used, use of levetiracetam does not appear to be associated with poor outcome.

There are potential limitations of this analysis. First, because of the high mortality of ICH, there is the possibility of survival bias. The ERICH methodology reduces this bias by employing a “hot pursuit” method whereby sites screen and enroll patients within 48 hours of admission. Secondly, we did not employ cEEG; future studies examining the role of AED use may focus on identification of subclinical seizures. Evidence from this study indicates that any adverse effect of AED use on outcome is likely small and of little clinical impact, although the role of AED would best be confirmed by a randomized controlled trial. Finally, patients lost to follow up are a limitation to this analysis, though their ICH severity (volume, initial GCS) and frequency of AED use was less common.

In conclusion, we found that prophylactic AED use, predominantly with the use of levetiracetam, is not associated with poor outcome in ICH after adjusting for hematoma volume or GCS at admission. Our data suggest that AEDs are used by experienced vascular neurologists and neurocritical care specialists in about 40% of patients with ICH.

Supplementary Material

Supplemental Table

Acknowledgments

Sources of Funding

This study is supported by a grant from the National Institute of Neurological Disorders and Stroke (NINDS: U-01-NS069763).

Footnotes

Disclosures

Kevin Sheth – NINDS, American Heart Association

Sharyl Martini – none

Charles Moomaw – NINDS

Sebastian Koch – NINDS

Mitchell Elkind – NINDS, Dr. Elkind receives research support from NINDS and has received honoraria from Boehringer-Ingelheim, Inc. and BMS-Pfizer Partnership for participation in advisory boards related to anticoagulants and stroke

Gene Sung – NINDS

Steven Kittner – NINDS

Michael Frankel – NINDS

Jonathan Rosand – NINDS

Carl Langefeld – NINDS

Mary Comeau – NINDS

Salina Waddy – NINDS

Jennifer Osborne – NINDS

Daniel Woo – NINDS

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