Back to Search Start Over

RESILIENCE (Retrospective Linkage Study of Autoimmune Encephalitis): protocol for an Australian retrospective cohort study of outcomes in autoimmune encephalitis using data linkage techniques

Authors :
David Brown
Wendyl D’Souza
Mark Cook
Andrew McLean-Tooke
David Gillis
Udaya Seneviratne
James Boyd
John Dunne
Nicholas Lawn
Ximena Camacho
Christine Bundell
Nerissa Jordan
Sudarshini Ramanathan
Fabienne Brilot
Kerri M Prain
Elaine Pang
Katrina Lambert
Russell Dale
Lisa Gillinder
Emma Whitham
Saxon Douglass
Amy Jean Halliday
Greg Bryson
Alan Lai
Wendyl Jude D’Souza
Source :
BMJ Open, Vol 14, Iss 12 (2024)
Publication Year :
2024
Publisher :
BMJ Publishing Group, 2024.

Abstract

Introduction The autoimmune encephalitides (AE) are a heterogeneous group of neurological disorders with significant morbidity and healthcare costs. Despite advancements in understanding their pathophysiology, uncertainties persist regarding long-term prognosis and optimal management. This study aims to address these gaps, focusing on immunotherapeutic strategies, neoplastic associations and functional outcomes.Methods and analysis The Retrospective Linkage Study of Autoimmune Encephalitis project will use data linkage techniques to establish a retrospective 10-year population cohort of Australian patients with AE. Two cohorts will be analysed, the Reference Cohort (clinically confirmed AE cases obtained from hospital medical records, n=145) and the Operationally Defined Cohort (AE cases identified through administrative coding data, n≈5000). Univariate statistical methods will identify candidate coding elements for use in the operational case definition and multivariate models and evaluation methods used to identify and internally validate the optimal coding algorithms. The two study cohorts will be analysed separately due to the high likelihood of overlap. Primary outcomes include relapse rate, prevalence and control of epilepsy, cognitive disability, poor educational attainment, delayed tumour diagnosis and mortality. Statistical analyses, including random mixed-effects regression models, will assess treatment effects, covariates and outcomes.Ethics and dissemination This project has been approved by the leading investigators’ institutional Human Research Ethics Committee (HREC), the St Vincent’s Hospital Melbourne HREC, as well as the Australian Institute of Health and Welfare HREC and relevant jurisdictional HRECs where required. The dissemination of findings through peer-reviewed publications and patient advocacy channels will maximise the impact of this research.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
14
Issue :
12
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.8d5c5d421e6242b18659c4db36ae5538
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2024-084664