Abstract 4361129: Beyond the Periphery: Coronary Endothelial Dysfunction as a Distinct Marker of Cardiovascular Risk in HIV

Background: People living with HIV (PLWH) have an increased risk of cardiovascular events compared to persons without HIV (PWoH), even with optimal control of their infection with antiretroviral therapy. Coronary endothelial dysfunction is a known early marker of atherosclerosis and a predictor of adverse cardiovascular outcomes, and prior studies have demonstrated that coronary endothelial function (CEF) is impaired in PLWH. While systemic endothelial function is often used as a surrogate for CEF, it remains unclear whether PLWH also demonstrate worse systemic endothelial dysfunction compared with PWoH. Research Question: How does systemic endothelial function differ between PLWH and PWoH? Is there an association between systemic endothelial function and CEF in PLWH? Methods: PLWH and PWoH controls without known coronary artery disease (CAD) were prospectively enrolled in a cross-sectional study. CEF was quantified using cardiac magnetic resonance imaging to measure change in coronary cross-sectional area (CSA) and coronary blood flow (CBF) in response to isometric handgrip exercise. Systemic endothelial function was measured by reactive hyperemia index (RHI) using peripheral arterial tonometry (EndoPAT) device. Differences in endothelial function were assessed using independent samples t-tests, with a two-sided p-value < 0.05 considered statistically significant. Results: Of the 158 participants, 94 were PLWH and 64 were age- and sex-matched controls. CEF was significantly reduced in PLWH compared to controls despite absence of CAD. The mean percent change in CSA was –0.78% (SD 8.30) in PLWH vs 9.07% (SD 9.78) in controls (p < 0.001), and the mean percent change in CBF was 3.85% (SD 15.85) vs 26.38% (SD 27.88), respectively (p < 0.001). In contrast, there was no significant difference in RHI between PLWH and controls (mean RHI: 2.07 [SD 0.81] vs 2.02 [SD 0.70], p = 0.85). Conclusion: PLWH demonstrated impaired CEF compared to PWoH while there was no difference in systemic endothelial function between the two groups. This potentially highlights the limitation of systemic vascular measures in detecting coronary-specific endothelial impairment in PLWH. These findings suggest the importance of targeted coronary assessments in evaluating cardiovascular risk in PLWH.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4361129
Primary Topic
HIV-related health complications and treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4361129: Beyond the Periphery: Coronary Endothelial Dysfunction as a Distinct Marker of Cardiovascular Risk in HIV

Yaa Kwapong, Allison G. Hays, Syed Bukhari, Michael Schär et al.
Circulation
HIV-related health complications and treatments
article

Abstract 4361129: Beyond the Periphery: Coronary Endothelial Dysfunction as a Distinct Marker of Cardiovascular Risk in HIV

Yaa Kwapong, Allison G. Hays, Syed Bukhari, Michael Schär, Damani A. Piggott, Kevin Sun, Bhavya Ancha
article en

Abstract

Background: People living with HIV (PLWH) have an increased risk of cardiovascular events compared to persons without HIV (PWoH), even with optimal control of their infection with antiretroviral therapy. Coronary endothelial dysfunction is a known early marker of atherosclerosis and a predictor of adverse cardiovascular outcomes, and prior studies have demonstrated that coronary endothelial function (CEF) is impaired in PLWH. While systemic endothelial function is often used as a surrogate for CEF, it remains unclear whether PLWH also demonstrate worse systemic endothelial dysfunction compared with PWoH. Research Question: How does systemic endothelial function differ between PLWH and PWoH? Is there an association between systemic endothelial function and CEF in PLWH? Methods: PLWH and PWoH controls without known coronary artery disease (CAD) were prospectively enrolled in a cross-sectional study. CEF was quantified using cardiac magnetic resonance imaging to measure change in coronary cross-sectional area (CSA) and coronary blood flow (CBF) in response to isometric handgrip exercise. Systemic endothelial function was measured by reactive hyperemia index (RHI) using peripheral arterial tonometry (EndoPAT) device. Differences in endothelial function were assessed using independent samples t-tests, with a two-sided p-value < 0.05 considered statistically significant. Results: Of the 158 participants, 94 were PLWH and 64 were age- and sex-matched controls. CEF was significantly reduced in PLWH compared to controls despite absence of CAD. The mean percent change in CSA was –0.78% (SD 8.30) in PLWH vs 9.07% (SD 9.78) in controls (p < 0.001), and the mean percent change in CBF was 3.85% (SD 15.85) vs 26.38% (SD 27.88), respectively (p < 0.001). In contrast, there was no significant difference in RHI between PLWH and controls (mean RHI: 2.07 [SD 0.81] vs 2.02 [SD 0.70], p = 0.85). Conclusion: PLWH demonstrated impaired CEF compared to PWoH while there was no difference in systemic endothelial function between the two groups. This potentially highlights the limitation of systemic vascular measures in detecting coronary-specific endothelial impairment in PLWH. These findings suggest the importance of targeted coronary assessments in evaluating cardiovascular risk in PLWH.

CirculationVol. 152(Suppl_3)
Johns Hopkins University (US)
Openalex Percentile: Top 53%
HIV-related health complications and treatments
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.