June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Multiple sclerosis associates reduced retinal fractal dimension
Author Affiliations & Notes
  • Carolina Bernal-Morales
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Siegfried Wagner
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Mario Cortina-Borja
    University College London Institute of Child Health, London, London, United Kingdom
  • Alastair K Denniston
    University of Birmingham, Birmingham, Birmingham, United Kingdom
    University Hospitals Birmingham NHS Foundation Trust, Birmingham, Birmingham, United Kingdom
  • Jugnoo Rahi
    University College London Institute of Child Health, London, London, United Kingdom
    Great Ormond Street Hospital for Children NHS Foundation Trust, London, London, United Kingdom
  • Robbert Struyven
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
    Institute of Ophthalmology, University College London, London, London, United Kingdom
  • Emanuele Trucco
    University of Dundee, Dundee, Dundee, United Kingdom
  • Muthu Rama Krishnan Mookiah
    University of Dundee, Dundee, Dundee, United Kingdom
  • Axel Petzold
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
    UCL Queen Square Institute of Neurology, London, London, United Kingdom
  • Pearse Andrew Keane
    Institute of Ophthalmology, University College London, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Footnotes
    Commercial Relationships   Carolina Bernal-Morales None; Siegfried Wagner None; Mario Cortina-Borja None; Alastair Denniston None; Jugnoo Rahi None; Robbert Struyven None; Emanuele Trucco None; Muthu Rama Krishnan Mookiah None; Axel Petzold None; Pearse Keane Apellis, DeepMind, Code C (Consultant/Contractor), Roche, Novartis, BitFount, Heidelberg Engineering, Topcon, Allergan, Bayer, Code F (Financial Support), Big Picture Medical, Code I (Personal Financial Interest)
  • Footnotes
    Support  Fight for Sight and Alzheimer’s Research UK
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 1579 – A0368. doi:
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      Carolina Bernal-Morales, Siegfried Wagner, Mario Cortina-Borja, Alastair K Denniston, Jugnoo Rahi, Robbert Struyven, Emanuele Trucco, Muthu Rama Krishnan Mookiah, Axel Petzold, Pearse Andrew Keane; Multiple sclerosis associates reduced retinal fractal dimension. Invest. Ophthalmol. Vis. Sci. 2022;63(7):1579 – A0368.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To evaluate the association between multiple sclerosis (MS) and retinal fractal dimension (FD), a retinal vascular geometric index of complexity.

Methods : A retrospective cohort study with data from 96,992 patients, of which 250 had multiple sclerosis seen at a tertiary ophthalmic institution in London, United Kingdom. Retinal fractal dimension was extracted from macular-centered colour fundus photographs using the Vascular Assessment and Measurement Platform for Images of the Retina. Multivariable linear regression evaluated the association between retinal FD and multiple sclerosis adjusting for age, sex, hypertension and diabetes mellitus.

Results : Patients with multiple sclerosis were younger (61.6 +/- 12.8 years of age versus 68.2 +/-12.5, p<0.001) and more likely to be female (72.4% versus 50.9%, p<0.001) but less likely to be diabetic (32.4% versus 47.5%, p<0.001) or hypertensive (73.6% versus 80.1%, p<0.001). Retinal FD was similar regardless of MS status (non-MS: 1.511+/- 0.032 versus MS: 1.514 +/- 0.032, p=0.23). After adjustment for age, sex, hypertension and diabetes mellitus, retinal fractal dimension was reduced in patients with MS (b -0.0043, 95% confidence interval: -0.008, -0.0006, p=0.024).

Conclusions : Retinal FD is reduced in people with MS. It remains unclear whether FD may be related to disease severity and therapeutics and further work should characterize its role in dynamic disease modelling.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

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