Utilising Retinal Phenotypes to Predict Cerebrovascular Disease and Detect Related Risk Factors in Multi-Ethnic

Ranjit J Injety1, Riddhi Shenoy2, Robert C Free3

  • 1School of Psychology and Vision Sciences, College of Life Sciences, University of Leicester, Leicester, UK, rji7@leicester.ac.uk.

Insights

Retinal imaging can detect cerebrovascular diseases (CBVDs) early. Examining ethnic variations in retinal features improves prediction and personalized treatment for CBVDs.

Area of Science:

  • Ophthalmology
  • Neurology
  • Vascular Biology

Background:

  • Cerebrovascular diseases (CBVDs) are a leading cause of death and disability.
  • Ethnic variations in CBVDs suggest unique risk factors.
  • Retinal imaging provides a non-invasive approach for early detection of risk factors.

Purpose of the Study:

  • To review the utility of retinal imaging in predicting CBVDs.
  • To emphasize the significance of ethnicity-specific approaches in CBVD detection.
  • To explore how racial differences in retinal phenotypes impact CBVD risk.

Main Methods:

  • Review of existing literature on retinal imaging and cerebrovascular diseases.
  • Analysis of studies reporting racial variations in retinal and vascular morphometrics.
  • Synthesis of data linking retinal phenotypes to CBVD risk across different ethnicities.

Main Results:

  • Retinal phenotypes are emerging as early indicators for CBVDs.
  • Significant racial differences exist in retinal and vascular morphometric characteristics.
  • These differences can influence the prediction accuracy of CBVDs.

Conclusions:

  • Retinal imaging is a valuable tool for the early detection of CBVDs.
  • Accounting for ethnicity-specific retinal features can enhance predictive models.
  • Personalized interventions for CBVDs can be developed by understanding ethnic variations in retinal characteristics.
Abstract