Abstract
BACKGROUND: Diagnosis of multiple sclerosis (MS) may sometimes be ascertained at the time of optic neuritis (ON) but other times require the advent of new disease activity.
OBJECTIVES: The aim of this study was to examine the predictive value of optical coherence tomography (OCT) and visual evoked potential (VEP) measurements of the non-symptomatic, fellow eye of ON patients, for conversion to MS.
METHODS: This is a prospective cohort study in patients with acute ON. OCT thickness measurements of peripapillary retinal nerve fiber layer (pRNFL) and macular ganglion cell layer-inner plexiform layer (GCLIPL), and multifocal (mf) VEP and full-field (ff) VEP, were performed. Univariate and multivariate Cox regression examined the value of predictors for the conversion to MS.
RESULTS: A total of 79 unilateral, acute ON patients, with no MS diagnosis or prior demyelination, were included. Of which, 28 patients developed MS during follow-up. Inferonasal GCLIPL, mean GCLIPL, and pRNFL thickness significantly predicted MS development in multivariate analysis (hazard ratio (HR) = 0.922-0.939, p = 0.0172-0.021). MfVEP mean latency (HR = 1.052, p = 0.006) only predicted MS conversion in univariate analysis. No significant predictive value was shown for the other parameters (p > 0.2).
CONCLUSION: While both mfVEP and OCT are useful tools in the evaluation of acute ON patients, only OCT measurements of fellow eyes may serve as an independent predictor of MS development.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Multiple Sclerosis Journal |
| Vol/bind | 27 |
| Udgave nummer | 3 |
| Sider (fra-til) | 391-400 |
| Antal sider | 10 |
| ISSN | 1352-4585 |
| DOI | |
| Status | Udgivet - mar. 2021 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Predictive value of optical coherence tomography, multifocal visual evoked potentials, and full-field visual evoked potentials of the fellow, non-symptomatic eye for subsequent multiple sclerosis development in patients with acute optic neuritis'. Sammen danner de et unikt fingeraftryk.Citationsformater
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