TY - JOUR
T1 - RESILIENCE (Retrospective Linkage Study of Autoimmune Encephalitis)
T2 - protocol for an Australian retrospective cohort study of outcomes in autoimmune encephalitis using data linkage techniques
AU - Halliday, Amy Jean
AU - Lambert, Katrina
AU - Bundell, Christine
AU - McLean-Tooke, Andrew
AU - Gillis, David
AU - Prain, Kerri M.
AU - Bryson, Greg
AU - Gillinder, Lisa
AU - Brown, David
AU - Ramanathan, Sudarshini
AU - Dale, Russell
AU - Brilot, Fabienne
AU - Jordan, Nerissa
AU - Lawn, Nicholas
AU - Lai, Alan
AU - Boyd, James
AU - Camacho, Ximena
AU - D'Souza, Wendyl
AU - Cook, Mark
AU - Dunne, John
AU - Gillinder, Lisa
AU - Seneviratne, Udaya
AU - Whitham, Emma
AU - Lawn, Nicholas
AU - Pang, Elaine
AU - Monif, Mastura
AU - Douglass, Saxon
AU - Butler, Ernest
AU - D'Souza, Wendyl
AU - Australian Adult Comprehensive Epilepsy Centres Consortium
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
KW - EPIDEMIOLOGY
KW - IMMUNOLOGY
KW - Neurology
UR - https://www.scopus.com/pages/publications/85211830504
U2 - 10.1136/bmjopen-2024-084664
DO - 10.1136/bmjopen-2024-084664
M3 - Article
C2 - 39638600
AN - SCOPUS:85211830504
SN - 2044-6055
VL - 14
JO - BMJ Open
JF - BMJ Open
IS - 12
M1 - e084664
ER -