Your browser doesn't support javascript.
loading
Electroencephalographic outcomes and predictors of epilepsy in autoimmune encephalitis.
Jha, S; Mundlamuri, R C; Alladi, S; Mahadevan, Anita; Netravathi, M.
Afiliación
  • Jha S; Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore 560029, India. Electronic address: shreyashi.jha11@gmail.com.
  • Mundlamuri RC; Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore 560029, India. Electronic address: mundlamuri.ravi@yahoo.com.
  • Alladi S; Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore 560029, India. Electronic address: alladisuvarna@gmail.com.
  • Mahadevan A; Department of Neuropathology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India. Electronic address: anita_mahadevan@yahoo.com.
  • Netravathi M; Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore 560029, India. Electronic address: sundernetra@yahoo.co.in.
Seizure ; 121: 162-171, 2024 Oct.
Article en En | MEDLINE | ID: mdl-39182465
ABSTRACT

BACKGROUND:

An abnormal EEG is pivotal in diagnosis, exclusion of mimickers and prognosticating epilepsy in Autoimmune Encephalitis (AE). However, little is known about the short and long term electroencephalographic outcomes and predictors of epilepsy in AE. This study aims to describe the seizure characteristics and electrophysiological markers of various AE subtypes and assess the clinical and electrophysiological predictors of autoimmune epilepsy.

METHODS:

Clinical features and EEGs in 74 patients (acute phase=39 and post-acute phase defined after a minimum eight weeks after acute phase=35) of AE fulfilling the proposed criteria were reviewed in their respective acute phases and at six months follow-up.

RESULTS:

The mean age of presentation (N = 74, 45 females) was 21.8 (21.8 ± 17.0) years. 38 (51 %) patients were <18 years. Seizures were present in 55 (74 %) patients with poor response to ASMs (p = 0.039). 39 (52.7 %) EEGs were abnormal in acute phase. Anti-NMDAR AE had most frequently abnormal EEG (63.4 %). Poor background reactivity and theta range slowing were most common abnormalities. FIRDA, EDB and delta range slowing were seen in seropositive AE (P = 0.003). Mutism, psychiatric features and incontinence correlated with abnormal EEG (p = 0.013, p = 0.028 and p = 0.025). Background slowing and epileptiform discharges predicted worse cognitive scores at follow-up (p = 0.012). Eight (11.9 %) patients developed epilepsy. Status epilepticus at presentation (p = 0.009), seronegative status (p = 0.0020), delayed initiation of immunotherapy (p = 0.012), abnormal MRI (p = 0.003) and abnormal EEG (p = 0.004) at onset indicate development of autoimmune epilepsy

CONCLUSIONS:

FIRDA, EDB and delta range slowing with refractory seizures suggest AE. Epileptiform abnormalities, status epilepticus and seronegativity predict autoimmune epilepsy.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Electroencefalografía / Encefalitis / Epilepsia Límite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Male / Middle aged Idioma: En Revista: Seizure Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Electroencefalografía / Encefalitis / Epilepsia Límite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Male / Middle aged Idioma: En Revista: Seizure Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido