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Optic neuritis: A South African hospital-based prospective study protocol.

Naseer Ally1, Hassan Dawood Alli1, Trishal Jeeva-Patel1

  • 1Division of Ophthalmology, Department of Neurosciences, University of the Witwatersrand, Johannesburg, South Africa.

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|June 10, 2022
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Summary

This study investigates optic neuritis in South Africa, highlighting differences in presentation and outcomes compared to other populations. It aims to improve understanding and develop predictive models for visual recovery in diverse patients.

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Area of Science:

  • Neuroscience
  • Ophthalmology
  • Immunology

Background:

  • Optic neuritis, an optic nerve inflammation, affects 1-5 per 100,000 annually.
  • Current research on optic neuritis predominantly features white patients from high-income nations.
  • Optic neuritis presentation and outcomes differ significantly between black and white populations.

Purpose of the Study:

  • To assess the clinical presentation and outcomes of optic neuritis in a South African cohort.
  • To investigate specific etiologies, clinical features, and radiological findings in South African optic neuritis patients.
  • To develop a predictive model for visual outcome in optic neuritis.

Main Methods:

  • Prospective, hospital-based cohort study in Johannesburg, South Africa.
  • Enrollment of patients from neurology and ophthalmology departments.
  • One-year follow-up with three-monthly visits; 5-year follow-up for NMOSD and MOGAD patients.

Main Results:

  • Data collection on specific etiologies, clinical presentation, and radiological findings.
  • Documentation of patient's disease course over one year.
  • Longitudinal follow-up for Neuromyelitis Optica Spectrum Disorders (NMOSD) and Myelin Oligodendrocyte Glycoprotein Associated Disorders (MOGAD) patients.

Conclusions:

  • This study is one of the few cohort investigations of optic neuritis in Sub-Saharan Africa.
  • Findings will provide crucial insights into the presentation, course, and outcome of optic neuritis in a diverse population.
  • Analysis will focus on creating a predictive model for favorable visual outcomes.