Analysis of Angiographic Features in Hypertensive Patients Using OCT Angiography

Abstract Purpose: To evaluate retinal microvascular alterations in hypertensive patients using optical coherence tomography angiography (OCTA) and assess its role as a biomarker of target organ damage. Methods: This cross-sectional comparative study included 226 eyes of 113 individuals aged >18 years. OCTA parameters, such as foveal avascular zone (FAZ) area and parafoveal vessel density, were measured. Visual acuity, blood pressure, and duration of hypertension were recorded. Independent t -test and Pearson correlation were applied for analyses. Results: FAZ enlargement was observed in both superficial (0.43 ± 0.15 mm²) and deep (0.39 ± 0.16 mm²) plexuses. Deep FAZ area showed a significant negative correlation with systolic blood pressure ( r = −0.218, P = 0.020). Parafoveal vessel density was significantly reduced across all quadrants (temporal 45.54% ± 3.48%, nasal 42.30% ± 4.14%, inferior 47.24% ± 3.92%, superior 47.21% ± 4.24%), with weak but significant negative correlations with disease duration. Vessel density did not differ by retinopathy status. Conclusion: OCTA identifies early retinal microvascular changes in hypertensive patients, correlating with blood pressure and duration of disease. These findings support its role as a non-invasive biomarker for hypertensive vascular damage. Larger, controlled longitudinal studies are needed to confirm its predictive and clinical value.

Institutions

Publication Details

Journal
TNOA Journal of Ophthalmic Science and Research
Published
2025-10-01
DOI
https://doi.org/10.4103/tjosr.tjosr_135_25
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Angiographic Features in Hypertensive Patients Using OCT Angiography

TNOA Journal of Ophthalmic Science and Research
Retinal Imaging and Analysis
article

Analysis of Angiographic Features in Hypertensive Patients Using OCT Angiography

article en

Abstract

Abstract Purpose: To evaluate retinal microvascular alterations in hypertensive patients using optical coherence tomography angiography (OCTA) and assess its role as a biomarker of target organ damage. Methods: This cross-sectional comparative study included 226 eyes of 113 individuals aged >18 years. OCTA parameters, such as foveal avascular zone (FAZ) area and parafoveal vessel density, were measured. Visual acuity, blood pressure, and duration of hypertension were recorded. Independent t -test and Pearson correlation were applied for analyses. Results: FAZ enlargement was observed in both superficial (0.43 ± 0.15 mm²) and deep (0.39 ± 0.16 mm²) plexuses. Deep FAZ area showed a significant negative correlation with systolic blood pressure ( r = −0.218, P = 0.020). Parafoveal vessel density was significantly reduced across all quadrants (temporal 45.54% ± 3.48%, nasal 42.30% ± 4.14%, inferior 47.24% ± 3.92%, superior 47.21% ± 4.24%), with weak but significant negative correlations with disease duration. Vessel density did not differ by retinopathy status. Conclusion: OCTA identifies early retinal microvascular changes in hypertensive patients, correlating with blood pressure and duration of disease. These findings support its role as a non-invasive biomarker for hypertensive vascular damage. Larger, controlled longitudinal studies are needed to confirm its predictive and clinical value.

TNOA Journal of Ophthalmic Science and ResearchVol. 63(4)
Government Medical College (IN)
Good health and well-being
Openalex Percentile: Top 34%
Retinal Imaging and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.