Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/28763
Title: Electroclinical biomarkers of autoimmune encephalitis.
Austin Authors: 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
Affiliation: Neurology
Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, Victoria 3050, Australia
Department of Neurosciences, Monash Health, Clayton Road, Clayton, Victoria 3168, Australia
Department of Immunology, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Burnett Building, 89 Commercial Road, Melbourne, Victoria 3004, Australia
Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, Victoria 3004, Australia
Department of Neurosciences, Building D - Daly Wing, Level 5, St Vincent's Hospital, Fitzroy, Victoria 3065, Australia
Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, Victoria 3004, Australia
Department of Neuroscience, Eastern Health, Level 2, 5 Arnold Street, Box Hill, Victoria 3128, Australia
Barwon Neurology, Level 2, Kardinia House, Bellerine Street, Geelong, Victoria 3220, Australia
Issue Date: Mar-2022
Date: 2022-01-29
Publication information: Epilepsy & Behavior 2022; 128: 108571
Abstract: To evaluate the utility of electroencephalography (EEG) changes as diagnostic and prognostic biomarkers in acute autoimmune encephalitis (AIE). One hundred and thirty-one patients with AIE were recruited retrospectively across 7 hospitals. Clinical data were collected during admission and at 12 months. EEGs were reviewed using a standard reporting proforma. Associations between EEG biomarkers, AIE subtypes, and clinical outcomes were assessed using logistic regression modeling. Presence of superimposed fast activity (OR 34.33; 95% CI 3.90, 4527.27; p < 0.001), fluctuating EEG abnormality (OR 6.60; 95% CI 1.60, 37.59; p = 0.008), and hemispheric focality (OR 28.48; 95% CI 3.14, 3773.14; p < 0.001) were significantly more common in N-methyl-d-aspartate receptor (NMDAR) antibody-associated patients with AIE compared to other AIE subtypes. Abnormal background rhythm was associated with a poor mRS (modified Rankin score) at discharge (OR 0.29; 95% CI 0.10, 0.75; p = 0.01) and improvement in mRS at 12 months compared with admission mRS (3.72; 95% CI 1.14, 15.23; p = 0.04). We have identified EEG biomarkers that differentiate NMDAR AIE from other subtypes. We have also demonstrated EEG biomarkers that are associated with poor functional outcomes.
URI: https://ahro.austin.org.au/austinjspui/handle/1/28763
DOI: 10.1016/j.yebeh.2022.108571
Journal: Epilepsy & Behavior : E&B
PubMed URL: 35101840
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/35101840/
Type: Journal Article
Subjects: Autoimmune encephalitis
Biomarker
EEG
LGI-1
NMDA
Appears in Collections:Journal articles

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