Relationship between Retinal Microvasculature, Cardiovascular Risk and Silent Brain Infarction in Hypertensive

Rosa Forés1,2, Josep M Manresa1, Victor M López-Lifante1,3

  • 1Unitat de Suport a la Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), 08303 Mataró, Spain.

Insights

Artery-vein ratio (AVR) and cardiovascular risk scores (REGICOR) can help predict silent brain infarction (SBI) in hypertensive patients. Combining these assessments improves the detection of SBI in this population.

Area of Science:

  • Ophthalmology and Cardiovascular Medicine
  • Neuroimaging and Public Health

Background:

  • Silent brain infarction (SBI) is a significant risk factor for cerebrovascular events.
  • Hypertension is a major risk factor for both SBI and cardiovascular disease.
  • Early detection of SBI is crucial for timely intervention and stroke prevention.

Purpose of the Study:

  • To evaluate the predictive role of artery-vein ratio (AVR) and REGICOR cardiovascular risk scores for silent brain infarction (SBI).
  • To assess the combined utility of AVR and REGICOR in identifying middle-aged hypertensive patients at risk for SBI.

Main Methods:

  • Cross-sectional study involving 695 hypertensive patients aged 50-70 years (ISSYS project).
  • Retinal artery-vein ratio (AVR) measured using VesselMap 2 software; abnormal AVR defined as <0.66.
  • REGICOR cardiovascular risk score calculated for all participants; SBI detected via MRI.

Main Results:

  • Abnormal AVR (OR=4.45) and high REGICOR score (OR=3.16) were independently associated with SBI.
  • The combination of abnormal AVR and a high REGICOR score showed a significantly increased odds ratio (OR=13.07) for SBI.
  • Logistic regression analysis confirmed the predictive value of both AVR and REGICOR for SBI.

Conclusions:

  • Artery-vein ratio assessment, particularly in hypertensive patients with high cardiovascular risk (REGICOR score), aids in detecting silent brain infarction.
  • Integrating retinal vascular parameters with established cardiovascular risk scores offers a promising approach for identifying individuals susceptible to SBI.
Abstract

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