June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Dynamic ocular blood flow metrics are altered in diabetes and diabetic retinopathy patients
Author Affiliations & Notes
  • Avigyan Sinha
    Vasoptic Medical Inc., Columbia, Maryland, United States
  • Jayanth Kandukuri
    Vasoptic Medical Inc., Columbia, Maryland, United States
  • Wen-Hsiang Lee
    Bascom Palmer Eye Institute, University of Miami, Miami, Florida, United States
  • Elizabeth Crocco
    Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, Florida, United States
  • Rajesh Garg
    Comprehensive Diabetes Center, University of Miami Miller School of Medicine, Miami, Florida, United States
  • Rishav Sapahia
    Bascom Palmer Eye Institute, University of Miami, Miami, Florida, United States
  • Carlos Mendoza-Santiesteban
    Bascom Palmer Eye Institute, University of Miami, Miami, Florida, United States
  • William Smiddy
    Bascom Palmer Eye Institute, University of Miami, Miami, Florida, United States
  • Maja Kostic
    Bascom Palmer Eye Institute, University of Miami, Miami, Florida, United States
  • Barry S. Baumel
    Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, United States
  • Delia Cabrera DeBuc
    Bascom Palmer Eye Institute, University of Miami, Miami, Florida, United States
  • Abhishek Rege
    Vasoptic Medical Inc., Columbia, Maryland, United States
  • Footnotes
    Commercial Relationships   Avigyan Sinha Vasoptic Medical Inc., USA, Code C (Consultant/Contractor); Jayanth Kandukuri Vasoptic Medical Inc., USA, Code E (Employment); Wen-Hsiang Lee None; Elizabeth Crocco None; Rajesh Garg None; Rishav Sapahia None; Carlos Mendoza-Santiesteban None; William Smiddy None; Maja Kostic None; Barry Baumel None; Delia DeBuc None; Abhishek Rege Vasoptic Medical Inc., USA, Code E (Employment), Vasoptic Medical Inc., USA, Code O (Owner), Vasoptic Medical Inc., USA, Code P (Patent)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 2689. doi:
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      Avigyan Sinha, Jayanth Kandukuri, Wen-Hsiang Lee, Elizabeth Crocco, Rajesh Garg, Rishav Sapahia, Carlos Mendoza-Santiesteban, William Smiddy, Maja Kostic, Barry S. Baumel, Delia Cabrera DeBuc, Abhishek Rege; Dynamic ocular blood flow metrics are altered in diabetes and diabetic retinopathy patients. Invest. Ophthalmol. Vis. Sci. 2023;64(8):2689.

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

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Abstract

Purpose : To identify ocular blood flow (OBF) based metrics that can discriminate between eyes with mild-to-moderate nonproliferative diabetic retinopathy (DR), eyes of healthy controls (HC), and eyes with other clinical conditions like diabetes mellitus without retinopathy (DM) and mild cognitive impairment (MCI).

Methods : OBF data was collected at a frame rate of 82 Hz for a duration of 6 seconds from each of thirty-four patients (68 eyes) using the XyCAM RI (Vasoptic Medical, Inc., MD, USA). Neuropsychological exams were used to determine normal or impaired cognitive function. Obtained OBF data contained pulsatile waveforms of blood flow velocity indices (BFVi), that were averaged within several short arterial and venous segments along the perimeter of the optic disc, and then used to compute various dynamic OBF metrics, as described in Fig. 1. One-way ANOVA was used to compare means of various patient groups (p<0.05).

Results : Table 1 shows statistical significance of mean dynamic OBF metrics between pairs of patient groups comprising 8 HC, 12 DM, 5 DR, and 9 MCI patients. In both arterial and venous segments, Heart Rate Adjusted (HRA) Dip BFVi was significantly different (p < 0.05) between diabetic groups (DM and DR) and non-diabetic groups (HC and MCI), but discrimination between DR and DM groups was provided by Fractional Time-to-Rise (TtRf) in arterial segments. Mean RI and Mean PI for DR group were statistically higher than HC groups but statistically lower than MCI group.

Conclusions : Our preliminary results indicate that dynamic OBF metrics obtained using XyCAM RI may help identify early pathophysiology associated with diabetes and diabetic retinopathy. A larger clinical trial is needed to assess its diagnostic potential in the clinic.

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

 

 

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