P-1404. Trends and Disparities in Viral Load Suppression Among People Living with HIV in Three Texas Cities: A Decade-Long Retrospective Study

Abstract Background HIV/AIDS remains a significant public health challenge in the United States, especially in states with diverse populations such as Texas. This study examines viral load trends among people living with HIV in Houston, Dallas, and San Antonio over ten years. The aim is to investigate variations in viral load suppression among individuals living with HIV across different cities, considering demographic variables like age, gender, race/ethnicity, and socioeconomic status. Methods A retrospective study was conducted on people with HIV (PWH) from 2009 to 2019. Demographic data, clinical variables, and viral suppression status were analyzed across different groups using time-to-event analysis. Results The analysis revealed that being female was linked to a reduced hazard ratio for detectable viral load (HR: 0.89, 95% CI: 0.82 - 0., p = 0.005) after adjusting for other demographic factors (table 2). Additionally, younger age groups (18-29, 30-39, and 40-49) exhibited significantly higher hazard ratios compared to those aged 50 and above, indicating a higher risk of detectable viral load. Race/ethnicity emerged as a significant factor, with Non-Hispanic Black individuals displaying a higher hazard ratio compared to Non-Hispanic White individuals (HR: 1.35, 95% CI: 1.22 - 1.48, p < 0.001). Furthermore, Medicaid-insured individuals demonstrated higher risk of detectable viral load, consistent with both univariate and multivariate analyses. However, language preference did not significantly influence viral load detection status, as evidenced by the absence of a significant difference between English and Spanish speakers in the multivariate analysis. Conclusion Our research investigates disparities in achieving viral load suppression among individuals with HIV in Texas. Younger people seem to encounter challenges in maintaining viral suppression compared to older age groups. The influence of social determinants of health is highlighted by racial/ethnic disparities. While our study did not find a significant impact of language barriers on viral load detection, further exploration is needed to better comprehend these results. Disclosures Karen J. Vigil, MD, Gilead: speaker|theratechnologies: research|ViiV: Advisor/Consultant Mamta K. Jain, MD, MPH, Abbvie: Grant/Research Support|Gilead Sciences: Grant/Research Support|Laurent: Grant/Research Support

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.1579
Primary Topic
HIV, Drug Use, Sexual Risk
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-1404. Trends and Disparities in Viral Load Suppression Among People Living with HIV in Three Texas Cities: A Decade-Long Retrospective Study

Nicole E. Naiman, A L exander P Radunsky, Barbara Sieck Taylor, Karen J. Vigil et al.
Open Forum Infectious Diseases
HIV, Drug Use, Sexual Risk
article

P-1404. Trends and Disparities in Viral Load Suppression Among People Living with HIV in Three Texas Cities: A Decade-Long Retrospective Study

Nicole E. Naiman, A L exander P Radunsky, Barbara Sieck Taylor, Karen J. Vigil, Angie Garcia, Mamta K Jain, Lucia Cabrejos
article en

Abstract

Abstract Background HIV/AIDS remains a significant public health challenge in the United States, especially in states with diverse populations such as Texas. This study examines viral load trends among people living with HIV in Houston, Dallas, and San Antonio over ten years. The aim is to investigate variations in viral load suppression among individuals living with HIV across different cities, considering demographic variables like age, gender, race/ethnicity, and socioeconomic status. Methods A retrospective study was conducted on people with HIV (PWH) from 2009 to 2019. Demographic data, clinical variables, and viral suppression status were analyzed across different groups using time-to-event analysis. Results The analysis revealed that being female was linked to a reduced hazard ratio for detectable viral load (HR: 0.89, 95% CI: 0.82 - 0., p = 0.005) after adjusting for other demographic factors (table 2). Additionally, younger age groups (18-29, 30-39, and 40-49) exhibited significantly higher hazard ratios compared to those aged 50 and above, indicating a higher risk of detectable viral load. Race/ethnicity emerged as a significant factor, with Non-Hispanic Black individuals displaying a higher hazard ratio compared to Non-Hispanic White individuals (HR: 1.35, 95% CI: 1.22 - 1.48, p < 0.001). Furthermore, Medicaid-insured individuals demonstrated higher risk of detectable viral load, consistent with both univariate and multivariate analyses. However, language preference did not significantly influence viral load detection status, as evidenced by the absence of a significant difference between English and Spanish speakers in the multivariate analysis. Conclusion Our research investigates disparities in achieving viral load suppression among individuals with HIV in Texas. Younger people seem to encounter challenges in maintaining viral suppression compared to older age groups. The influence of social determinants of health is highlighted by racial/ethnic disparities. While our study did not find a significant impact of language barriers on viral load detection, further exploration is needed to better comprehend these results. Disclosures Karen J. Vigil, MD, Gilead: speaker|theratechnologies: research|ViiV: Advisor/Consultant Mamta K. Jain, MD, MPH, Abbvie: Grant/Research Support|Gilead Sciences: Grant/Research Support|Laurent: Grant/Research Support

Open Forum Infectious DiseasesVol. 12(Supplement_1)
The University of Texas at San Antonio Health Science Center (US), Southwestern Medical Center (US), Southwestern Medical Center (US), The University of Texas Southwestern Medical Center (US), The University of Texas Health Science Center at Houston (US)
Openalex Percentile: Top 98%
HIV, Drug Use, Sexual Risk
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.