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Published in: Neurocritical Care 2/2021

01-10-2021 | Subarachnoid Hemorrhage | Original work

Electroencephalography, Hospital Complications, and Longitudinal Outcomes After Subarachnoid Hemorrhage

Authors: India A. Lissak, Joseph J. Locascio, Sahar F. Zafar, Riana L. Schleicher, Aman B. Patel, Thabele Leslie-Mazwi, Christopher J. Stapleton, Matthew J. Koch, Jennifer A. Kim, Kasey Anderson, Jonathan Rosand, M. Brandon Westover, W. Taylor Kimberly, Eric S. Rosenthal

Published in: Neurocritical Care | Issue 2/2021

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Abstract

Background

Following non-traumatic subarachnoid hemorrhage (SAH), in-hospital delayed cerebral ischemia is predicted by two chief events on continuous EEG (cEEG): new or worsening epileptiform abnormalities (EAs) and deterioration of cEEG background frequencies. We evaluated the association between longitudinal outcomes and these cEEG biomarkers. We additionally evaluated the association between longitudinal outcomes and other in-hospital complications.

Methods

Patients with nontraumatic SAH undergoing ≥ 3 days of cEEG monitoring were enrolled in a prospective study evaluating longitudinal outcomes. Modified Rankin Scale (mRS) was assessed at discharge, and at 3- and 6-month follow-up time points. Adjusting for baseline severity in a cumulative proportional odds model, we modeled the mRS ordinally and measured the association between mRS and two forms of in-hospital cEEG deterioration: (1) cEEG evidence of new or worsening epileptiform abnormalities and (2) cEEG evidence of new background deterioration. We compared the magnitude of these associations at each time point with the association between mRS and other in-hospital complications: (1) delayed cerebral ischemia (DCI), (2) hospital-acquired infections (HAI), and (3) hydrocephalus. In a secondary analysis, we employed a linear mixed effects model to examine the association of mRS over time (dichotomized as 0–3 vs. 4–6) with both biomarkers of cEEG deterioration and with other in-hospital complications.

Results

In total, 175 mRS assessments were performed in 59 patients. New or worsening EAs developed in 23 (39%) patients, and new background deterioration developed in 24 (41%). Among cEEG biomarkers, new or worsening EAs were independently associated with mRS at discharge, 3, and 6 months, respectively (adjusted cumulative proportional odds 4.99, 95% CI 1.60–15.6; 3.28, 95% CI 1.14–9.5; and 2.71, 95% CI 0.95–7.76), but cEEG background deterioration lacked an association. Among hospital complications, DCI was associated with discharge, 3-, and 6-month outcomes (adjusted cumulative proportional odds 4.75, 95% CI 1.64–13.8; 3.4; 95% CI 1.24–9.01; and 2.45, 95% CI 0.94–6.6), but HAI and hydrocephalus lacked an association. The mixed effects model demonstrated that these associations were sustained over longitudinal assessments without an interaction with time.

Conclusion

Although new or worsening EAs and cEEG background deterioration have both been shown to predict DCI, only new or worsening EAs are associated with a sustained impairment in functional outcome. This novel finding raises the potential for identifying therapeutic targets that may also influence outcomes.
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Metadata
Title
Electroencephalography, Hospital Complications, and Longitudinal Outcomes After Subarachnoid Hemorrhage
Authors
India A. Lissak
Joseph J. Locascio
Sahar F. Zafar
Riana L. Schleicher
Aman B. Patel
Thabele Leslie-Mazwi
Christopher J. Stapleton
Matthew J. Koch
Jennifer A. Kim
Kasey Anderson
Jonathan Rosand
M. Brandon Westover
W. Taylor Kimberly
Eric S. Rosenthal
Publication date
01-10-2021
Publisher
Springer US
Published in
Neurocritical Care / Issue 2/2021
Print ISSN: 1541-6933
Electronic ISSN: 1556-0961
DOI
https://doi.org/10.1007/s12028-020-01177-x

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