June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
High-density OCT Analysis Detects Photoreceptor Thinning Prior to Hydroxychloroquine Retinal Toxicity Diagnosis
Author Affiliations & Notes
  • Matt Trinh
    University of New South Wales, Sydney, New South Wales, Australia
    Centre for Eye Health Ltd, Kensington, New South Wales, Australia
  • Saiyeththeya Nanthapoopan
    Centre for Eye Health Ltd, Kensington, New South Wales, Australia
    University of New South Wales, Sydney, New South Wales, Australia
  • Lina Shen
    Centre for Eye Health Ltd, Kensington, New South Wales, Australia
    University of New South Wales, Sydney, New South Wales, Australia
  • David Alonso-Caneiro
    Queensland University of Technology Contact Lens and Visual Optics Laboratory, Kelvin Grove, Queensland, Australia
  • Michael Kalloniatis
    Deakin University Faculty of Health, Geelong, Victoria, Australia
    University of New South Wales, Sydney, New South Wales, Australia
  • Lisa Nivison-Smith
    Centre for Eye Health Ltd, Kensington, New South Wales, Australia
    University of New South Wales, Sydney, New South Wales, Australia
  • Footnotes
    Commercial Relationships   Matt Trinh None; Saiyeththeya Nanthapoopan None; Lina Shen None; David Alonso-Caneiro None; Michael Kalloniatis None; Lisa Nivison-Smith None
  • Footnotes
    Support  NHMRC grant 1174385 and the Australian Research Training Program scholarship
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 3423. doi:
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      Matt Trinh, Saiyeththeya Nanthapoopan, Lina Shen, David Alonso-Caneiro, Michael Kalloniatis, Lisa Nivison-Smith; High-density OCT Analysis Detects Photoreceptor Thinning Prior to Hydroxychloroquine Retinal Toxicity Diagnosis. Invest. Ophthalmol. Vis. Sci. 2023;64(8):3423.

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

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Abstract

Purpose : Diagnosis of Hydroxychloroquine (HCQ) retinal toxicity currently relies upon qualitative assessment of optical coherence tomography (OCT) outer retinal thinning. This study uses quantitative, high-density OCT cluster analysis to examine whether photoreceptor changes occur prior to HCQ retinal toxicity diagnosis.

Methods : Sixty-seven participants using HCQ and 134 participants not using HCQ were included in the study, propensity-score matched by age, sex, and refraction. All participants had normal macular health. One eligible eye per participant was randomly selected for study. Two graders blinded to participants’ group status manually segmented the outer plexiform and outer nuclear layers’ OCT borders, including Henle’s fibre layer (OPL/HFL/ONL). High-density gridwise thicknesses of the OPL/HFL/ONL were custom extracted then clustered between groups to reveal topographic differences.

Results : Comparing participants using HCQ versus not using HCQ, there was one cluster (C−1) of significantly thinned OPL/HFL/ONL (−1.6 [−2.76, −0.44] µm, P < 0.01) with small effect size (−0.25; Figure). The cluster of thinned OPL/HFL/ONL was primarily localised to the nasal quadrant (81.89% nasal versus 1% temporal quadrant area, P < 0.0001), and equally distributed in the superior and inferior quadrants (17.11% versus 17.56% respectively, P = 0.87).

Conclusions : Photoreceptor thinning prior to formal diagnosis of HCQ toxicity can be detected using quantitative, high-density OCT cluster analysis. This suggests current qualitative assessment of photoreceptor integrity in clinical practice may be inadequate for detection of HCQ retinal toxicity, and further implementation of quantitative measures could assist early detection.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

Figure. OPL/HFL/ONL topography between HCQ-usage versus non-HCQ-usage groups. Cluster differences (µm) presented graphically (left) and topographically (right). Z-score below x-axis. Significance: ** P < 0.01. Clusters labelled by rank/magnitude of difference from zero, i.e., C0 = no significant difference from zero. Image in right eye format and scale at bottom right.

Figure. OPL/HFL/ONL topography between HCQ-usage versus non-HCQ-usage groups. Cluster differences (µm) presented graphically (left) and topographically (right). Z-score below x-axis. Significance: ** P < 0.01. Clusters labelled by rank/magnitude of difference from zero, i.e., C0 = no significant difference from zero. Image in right eye format and scale at bottom right.

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