Multimodal prognostication of autoimmune encephalitis: an Australian autoimmune encephalitis consortium study

Area of Science:

• Neurology
• Immunology
• Clinical Medicine

Background:

• Autoimmune encephalitis (AE) is a group of immune-mediated disorders affecting the central nervous system.
• Predicting long-term outcomes in AE is crucial for patient management and therapeutic strategies.

Purpose of the Study:

• To identify factors predicting favorable modified Rankin Scale (mRS) scores at 12 months post-diagnosis in AE patients.
• To evaluate predictors of a composite clinical-functional outcome, including mRS, drug-resistant epilepsy (DRE), and memory impairment, at 12 months.

Main Methods:

• Univariable and multivariable logistic regression analyses were employed.
• Predictors for favorable mRS (≤2) and a composite clinical-functional outcome were assessed at 12 months.

Main Results:

• Older age, T2/FLAIR hyperintensity on initial MRI, and first-line immunotherapy failure were associated with reduced odds of a favorable mRS.
• Anti-LGI1 antibody-mediated encephalitis predicted better 12-month mRS compared to other AE subtypes.
• Similar associations were observed for the composite outcome, with definite autoimmune limbic encephalitis predicting a poor outcome.

Conclusions:

• Older age, specific MRI findings, drug-resistant epilepsy, and immunotherapy failure are key predictors of worse clinical and functional outcomes in AE.
• Anti-LGI1 antibody encephalitis is associated with favorable outcomes, offering a potential prognostic indicator.
• These findings aid in identifying patients at risk for severe disease and guiding treatment decisions.