Austin Health

Title
Prevalence, risk factors, and prognosis of drug-resistant epilepsy in autoimmune encephalitis.
Publication Date
2022-07
Author(s)
Wesselingh, Robb
Broadley, James
Buzzard, Katherine
Tarlinton, David
Seneviratne, Udaya
Kyndt, Chris
Stankovich, Jim
Sanfilippo, Paul
Nesbitt, Cassie
D'Souza, Wendyl
Macdonell, Richard A L
Butzkueven, Helmut
O'Brien, Terence J
Monif, Mastura
Subject
Autoimmune encephalitis
Drug-resistant epilepsy
Electroencephalogram
Prognosis
Status epilepticus
Type of document
Journal Article
OrcId
0000-0001-6604-3968
DOI
10.1016/j.yebeh.2022.108729
Abstract
To evaluate the prevalence and biomarkers of drug-resistant epilepsy (DRE) in patients with autoimmune encephalitis (AIE). Sixty-nine patients with AIE were recruited retrospectively and electroencephalographies (EEGs) were reviewed using a standard reporting proforma. Associations between EEG biomarkers and DRE development at 12 months were examined using logistic regression modeling and were utilized to create a DRE risk score. Sixteen percent of patients with AIE developed DRE at 12-month follow-up. The presence of status epilepticus (SE) (OR 11.50, 95% CI [2.81, 51.86], p-value <0.001), temporal lobe focality (OR 9.90, 95% CI [2.60, 50.71], p-value 0.001) and periodic discharges (OR 19.12, 95% CI [3.79, 191.10], p-value 0.001) on the admission EEG were associated with the development of DRE at 12 months. These variables were utilized to create a clinically applicable risk score for the prediction of DRE development. Drug-resistant epilepsy is an infrequent complication of AIE. Electroencephalography changes during the acute illness can predict the risk of DRE at 12 months post-acute AIE. The identified EEG biomarkers provide the basis to generate a clinically applicable prediction tool which could be used to inform treatment, prognosis, and select patients for acute treatment trials.
Link
Citation
Epilepsy & behavior : E&B 2022; 132: 108729
Jornal Title
Epilepsy & behavior : E&B

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