Predicting the final clinical phenotype after the first attack of optic neuritis.

BACKGROUND AND

OBJECTIVES

To evaluate the factors determining the final clinical phenotype after an initial isolated attack of optic neuritis (ON). ON could be an isolated event or the initial presentation of a chronic neuroimmunological condition.

METHODS

This was a retrospective analysis of patients presenting to University Hospitals Cleveland Medical Center for an initial, isolated attack of ON. Final clinical phenotypes were idiopathic ON, multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), myelin oligodendrocyte glycoprotein associated disease (MOGAD), or secondary ON (e.g. neurosarcoidosis). Several potential predictors at the time of initial presentation were compared among the different phenotypes to determine early predictors. Categorical variables were compared using Pearson χ2 or Fisher's exact test, and continuous variables were compared using independent t-test.

RESULTS

Sixty-four patients met criteria (average age 41.3 ± 13.3, 78.1% females). Average time to final diagnosis was 8.3 months, and average follow-up was 47 months. The final phenotypes were MS (22, 34%), idiopathic ON (14, 22%), MOGAD (11, 17%), NMOSD (10, 16%), and secondary ON (7, 11%). White race, unilateral ON, short segment hyperintensity on orbital MRI, classical demyelination on brain MRI, and not requiring PLEX were associated with MS. Older age, poor steroid responsiveness, and requiring PLEX were associated with NMOSD. African American race, bilateral ON, papillitis on fundoscopy, long segment hyperintensity on orbital MRI, and normal brain MRI were associated with MOGAD. Normal or thinned retinal nerve fiber layer on OCT, short segment hyperintensity on orbital MRI, and normal brain MRI were associated with idiopathic ON.

CONCLUSION

The final clinical phenotype may be predictable at the time of initial ON presentation. This requires a careful evaluation of patient demographics, treatment response, funduscopic findings, OCT, and orbital and brain MRIs. Utilizing early predictors in clinical practice could better inform prognosis and management decisions.