Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30612
Title: Psychometric deficits in autoimmune encephalitis: A retrospective study from the Australian Autoimmune Encephalitis Consortium.
Austin Authors: Griffith, Sarah;Wesselingh, Robb;Broadley, James;O'Shea, Marie F ;Kyndt, Chris;Meade, Catherine;Long, Brian;Seneviratne, Udaya;Reidy, Natalie;Bourke, Robert;Buzzard, Katherine;D'Souza, Wendyl;Macdonell, Richard A L ;Brodtmann, Amy ;Butzkueven, Helmut;O'Brien, Terence J;Alpitsis, Rubina;Malpas, Charles B;Monif, Mastura
Affiliation: Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Alfred Centre, Melbourne, Vic., Australia..
Department of Neurology, Alfred Health, Alfred Centre, Melbourne, Vic., Australia..
Clinical Neuropsychology
Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Vic., Australia..
Department of Neurosciences, Eastern Health Clinical School, Box Hill Hospital, Monash University, Melbourne, Vic., Australia..
Department of Neurosciences, St Vincent's Hospital, Fitzroy, Vic., Australia..
Neuropsychology Unit, Monash Medical Centre, Monash Health, Clayton, Vic., Australia..
Department of Neurosciences, Monash Health, Clayton, Vic., Australia..
Department of Neurology, Melbourne Health, Parkville, Vic., Australia..
Department of Medicine, St Vincent's Hospital, The University of Melbourne, Fitzroy, Vic., Australia..
Neurology
Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Vic., Australia..
Issue Date: Aug-2022
Date: 2022
Publication information: European Journal of Neurology 2022; 29(8): 2355-2366
Abstract: Despite the rapid increase in research examining outcomes in autoimmune encephalitis (AE) patients, there are few cohort studies examining cognitive outcomes in this population. The current study aimed to characterise psychometric outcomes in this population, and explore variables that may predict psychometric outcomes. This retrospective observational study collected psychometric data from 59 patients across six secondary and tertiary referral centres in metropolitan hospitals in Victoria, Australia between January 2008 and July 2019. Frequency and pattern analysis were employed to define and characterize psychometric outcomes. Univariable logistic regression was performed to examine predictors of intact and pathological psychometric outcomes. Deficits in psychometric markers of executive dysfunction were the most common finding in this cohort, followed by deficits on tasks sensitive to memory. A total of 54.2% of patients were classified as having psychometric impairments across at least two cognitive domains. Twenty-nine patterns were observed, suggesting outcomes in AE are complex. None of the demographic data, clinical features or auxiliary examination variables were predictors of psychometric outcome. Cognitive outcomes in AE are complex. Further detailed and standardized cognitive testing, in combination with magnetic resonance imaging volumetrics and serum/cerebrospinal fluid biomarkers, is required to provide rigorous assessments of disease outcomes.
URI: https://ahro.austin.org.au/austinjspui/handle/1/30612
DOI: 10.1111/ene.15367
ORCID: https://orcid.org/0000-0002-7087-8703
https://orcid.org/0000-0003-0182-9702
https://orcid.org/0000-0001-6604-3968
https://orcid.org/0000-0001-9466-2862
Journal: European journal of neurology
PubMed URL: 35460305
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/35460305/
Type: Journal Article
Subjects: autoimmune diseases
autoimmune encephalitis
cognitive outcomes
neuropsychology
Appears in Collections:Journal articles

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