Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Macular Oxygen Saturation in Normal, Non-proliferative, and Proliferative Diabetic Retinopathy Subjects Using Visible Light Optical Coherence Tomography
Author Affiliations & Notes
  • Jingyu Wang
    Department of Ophthalmology, Johns Hopkins University, Baltimore, Maryland, United States
  • Andrew Baker
    Department of Ophthalmology, Boston Medical Center, Boston, Massachusetts, United States
  • Marissa Fiorello
    Department of Ophthalmology, Boston Medical Center, Boston, Massachusetts, United States
  • Steven Ness
    Department of Ophthalmology, Boston Medical Center, Boston, Massachusetts, United States
  • Ji Yi
    Department of Ophthalmology, Johns Hopkins University, Baltimore, Maryland, United States
    Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, United States
  • Footnotes
    Commercial Relationships   Jingyu Wang None; Andrew Baker None; Marissa Fiorello None; Steven Ness None; Ji Yi None
  • Footnotes
    Support  NIH R01NS108464, NIH R01EY032163
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 3355. doi:
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      Jingyu Wang, Andrew Baker, Marissa Fiorello, Steven Ness, Ji Yi; Macular Oxygen Saturation in Normal, Non-proliferative, and Proliferative Diabetic Retinopathy Subjects Using Visible Light Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2024;65(7):3355.

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

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Abstract

Purpose : Diabetic retinopathy (DR) is a leading cause of blindness worldwide, and ultimately is a vasculopathy in retina. While the macula is often impaired in DR, the macular blood oxygen saturation (sO2) in DR remains unexplored. This study aims to investigate and compare sO2 levels within microvasculature at macular region among individuals with normal retinas, non-proliferative diabetic retinopathy (NPDR), and proliferative diabetic retinopathy (PDR).

Methods : A cross-sectional study was conducted involving 46 eyes of 32 subjects divided into three groups: 16 eyes of 10 individuals with normal retinas, 18 eyes of 13 with NPDR, and 12 eyes of 9 with PDR. We utilized retinal oximetry of visible light optical coherence tomography (VIS-OCT) to measure the sO2 in macular vessels. The imaging protocol employed raster scanning with a sample density of 512*256, covering an area of 5 mm by 5 mm. We calculated the sO2 of arterioles (AsO2), venules (VsO2), the difference between arterioles and venules (A-V sO2=AsO2-VsO2). We collected the relevant clinical and demographic data. ANOVA and post-hoc tests were performed to assess differences in retinal sO2 among the three groups. Spearman correlation tests were used to correlate sO2 markers to clinical data such as central subfield thickness and macular volume.

Results : Figure 1 illustrates the statistical comparisons of sO2 among three groups. Significant variations were observed among the normal, NPDR, and PDR groups for AsO2, VsO2 and A-V sO2 with an increasing trend in VsO2 and a decreasing trend in A-V sO2. The correlation between VsO2 and macular volume was found to be significant.

Conclusions : This study provides insights into the macular sO2 changes among individuals with normal retinas, NPDR, and PDR. The observed differences may hold implications for understanding the pathophysiology of diabetic retinopathy and could contribute to the development of targeted interventions.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

Figure 1. Statistical comparisons among normal (abbreviated as H), NPDR and PDR groups. (a-c) AsO2, VsO2, A-VsO2. One-way ANOVA was performed first, then multiple comparison within groups was to calculate the p value. ns, not significant, p>0.05. *, p<0.05. **, p<0.01. ***, p<0.001 ****, p<0.0001.

Figure 1. Statistical comparisons among normal (abbreviated as H), NPDR and PDR groups. (a-c) AsO2, VsO2, A-VsO2. One-way ANOVA was performed first, then multiple comparison within groups was to calculate the p value. ns, not significant, p>0.05. *, p<0.05. **, p<0.01. ***, p<0.001 ****, p<0.0001.

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