Psychiatric clinical decision making in anti-NMDA receptor encephalitis

2021 ◽  
Author(s):  
◽  
Nicola Warren
2021 ◽  
Vol 26 (Supplement_1) ◽  
pp. e76-e78
Author(s):  
Mark Grinberg ◽  
Michelle Schneeweiss ◽  
Christopher Povolo ◽  
Jeyanth Inkaran ◽  
Kevin Jones

Abstract Primary Subject area Neurology Background Autoimmune Encephalitis (AE) is an emerging cause of epilepsy with numerous variants, including anti NMDA-receptor encephalitis, for which there is a detectable antibody. However, it is believed that there are many variants of AE for which an antibody has not yet been discovered. Objectives This study aimed to determine the differences in disease course of AE patients with and without detectable anti-NMDA receptor antibody. Design/Methods This retrospective analysis is part of a Canada-wide project aimed at evaluating the epidemiology and characteristics of AE. Cases with suspected AE were retrieved and screened by two independent reviewers against AE criteria. Those that met criteria were analyzed for trends and stratified into NMDA receptor antibody positive (NMDAr) and negative categories for inter-group analysis. Of 23 cases reviewed, 11 met criteria (aged 1-17 years, 27% males), of which 7 were NMDAr positive. Results The NMDAr subgroup was characterized by behavioural changes, focal seizures, and prodromal fever on presentation, whereas the receptor negative subset had a much higher variability of symptoms, without any distinctive patterns. On average, the NMDAr positive group showed an increase in white blood cell count on CSF analysis, and a slight increase in the proportion of patients presenting with supratentorial lesions on MRI. Both groups had abnormal findings on EEG. However, despite the lack of gross differences in findings, all of the NMDAr positive cases received IVIG (most with corticosteroids as well) while only 2 NMDAr negative patients received immunomodulatory therapy. At discharge 6/7 of the NMDAr patients had some form of residual movement disorder while the NMDAr negative group had more variable residual symptoms at discharge. Conclusion Our findings show that a high index of suspicion in the diagnosis of AE is required due to the indistinct distribution and variety in its presentation. Negative antibody findings should not rule out AE due to the possibility of unidentified antibodies. Future studies should explore why differences in treatment between the two groups exist, and if slight differences in presentation influence clinical decision-making.


Author(s):  
A Richard ◽  
T Zanos ◽  
F Dubeau ◽  
E de Villers-Sidani

Background: NMDA receptor encephalitis (NMDA-RE) is an autoimmune disorder caused by antibodies to the NR1-NR2B heterodimer of the NMDA receptor. Currently, disease status is tracked primarily by the presence of auto-antibodies in the cerebrospinal fluid (CSF) and serum. Using serological and CSF markers along with clinical parameters to track disease progress can be challenging since patient symptoms and disease progress can vary widely. Methods: EEGs were reviewed in a 31 year old male patient with proven NMDA-RE. EEG data were sampled from various times before and after diagnosis, as well as during various stages of treatment. All analyses were performed using Matlab (Mathworks). Results: We showed that using a simple 1/f model of spectral behaviour (Buzsaki and Draguhn, 2004), we could fit the power spectra of the raw data at various instances during routine EEGs. We have demonstrated that the values of specific fitting parameters vary in relationship to the patient’s clinical status across various stages of illness. Conclusions: The aim of this project was to explore the potential utility of EEG as a complement to the usual clinical metrics used in monitoring NMDA-RE. The analysis techniques presented here highlight the use of EEG as a practical, minimaly-invasive tool to monitor progress and potentially aid in clinical decision making.


2011 ◽  
Vol 20 (4) ◽  
pp. 121-123
Author(s):  
Jeri A. Logemann

Evidence-based practice requires astute clinicians to blend our best clinical judgment with the best available external evidence and the patient's own values and expectations. Sometimes, we value one more than another during clinical decision-making, though it is never wise to do so, and sometimes other factors that we are unaware of produce unanticipated clinical outcomes. Sometimes, we feel very strongly about one clinical method or another, and hopefully that belief is founded in evidence. Some beliefs, however, are not founded in evidence. The sound use of evidence is the best way to navigate the debates within our field of practice.


Sign in / Sign up

Export Citation Format

Share Document