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Predictors of subclinical atherosclerosis in HIV

BACKGROUND: Cardiovascular disease is a major cause of morbidity and mortality in people with HIV. The detection of subclinical atherosclerosis through vascular ultrasound allows us to identify patients at an increased risk of cardiovascular disease as a primary prevention strategy; this test is not...

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Autores principales: Fernández Soto, Julia, Romero-Jiménez, Manuel J., Alarcón García, José Carlos, Bonet Estruch, Elena, Sánchez Ramos, José Luís, Castaño López, Miguel Ángel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832619/
https://www.ncbi.nlm.nih.gov/pubmed/36627565
http://dx.doi.org/10.1186/s12879-022-07976-1
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author Fernández Soto, Julia
Romero-Jiménez, Manuel J.
Alarcón García, José Carlos
Bonet Estruch, Elena
Sánchez Ramos, José Luís
Castaño López, Miguel Ángel
author_facet Fernández Soto, Julia
Romero-Jiménez, Manuel J.
Alarcón García, José Carlos
Bonet Estruch, Elena
Sánchez Ramos, José Luís
Castaño López, Miguel Ángel
author_sort Fernández Soto, Julia
collection PubMed
description BACKGROUND: Cardiovascular disease is a major cause of morbidity and mortality in people with HIV. The detection of subclinical atherosclerosis through vascular ultrasound allows us to identify patients at an increased risk of cardiovascular disease as a primary prevention strategy; this test is not routine. Our objective is to identify predictors of subclinical atherosclerosis in a population with HIV. METHODS: People with HIV infection were selected for primary prevention and underwent carotid and femoral ultrasound to detect atheromatous plaques. Logistic regression analysis including vascular risk factors was performed to predict the presence of atherosclerosis. RESULTS: One hundred eighty-three patients were included, 54% of whom were smokers; the mean duration of HIV infection was 9.52 years, and all patients were undergoing antiretroviral treatment. Subclinical atherosclerosis was present in 62.29% of the patients; 83.32% had plaque in the carotid territory, 57.93% in the femoral territory and 25.6% in both vascular territories. Compared to those without atherosclerosis, patients with atherosclerosis were on average 5.35 years older (53.86 vs. 48.51, p < 0.001) and had a higher prevalence of smoking (63.23% vs. 39.12%, p = 0.020) and a CD4/CD8 ratio below 0.7 (44.23% vs. 29.02%, p = 0.043). A CD4/CD8 ratio lower than 0.3 was always associated with subclinical atherosclerosis (95% confidence interval (CI): 83.9–100%). The inclusion of smoking, the CD4/CD8 ratio and age in the logistic regression analysis led to a diagnostic yield of 72% measured by the area under the receiving operator characteristic (ROC) curve (95% CI: 64–80%). CONCLUSIONS: Tobacco use, age and a CD4/CD8 ratio below 0.7 allow prediction of the presence of subclinical atherosclerosis in primary prevention. A CD4/CD8 ratio below 0.3 was a diagnostic indicator of atherosclerosis in HIV patients undergoing primary prevention in our sample.
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spelling pubmed-98326192023-01-12 Predictors of subclinical atherosclerosis in HIV Fernández Soto, Julia Romero-Jiménez, Manuel J. Alarcón García, José Carlos Bonet Estruch, Elena Sánchez Ramos, José Luís Castaño López, Miguel Ángel BMC Infect Dis Research BACKGROUND: Cardiovascular disease is a major cause of morbidity and mortality in people with HIV. The detection of subclinical atherosclerosis through vascular ultrasound allows us to identify patients at an increased risk of cardiovascular disease as a primary prevention strategy; this test is not routine. Our objective is to identify predictors of subclinical atherosclerosis in a population with HIV. METHODS: People with HIV infection were selected for primary prevention and underwent carotid and femoral ultrasound to detect atheromatous plaques. Logistic regression analysis including vascular risk factors was performed to predict the presence of atherosclerosis. RESULTS: One hundred eighty-three patients were included, 54% of whom were smokers; the mean duration of HIV infection was 9.52 years, and all patients were undergoing antiretroviral treatment. Subclinical atherosclerosis was present in 62.29% of the patients; 83.32% had plaque in the carotid territory, 57.93% in the femoral territory and 25.6% in both vascular territories. Compared to those without atherosclerosis, patients with atherosclerosis were on average 5.35 years older (53.86 vs. 48.51, p < 0.001) and had a higher prevalence of smoking (63.23% vs. 39.12%, p = 0.020) and a CD4/CD8 ratio below 0.7 (44.23% vs. 29.02%, p = 0.043). A CD4/CD8 ratio lower than 0.3 was always associated with subclinical atherosclerosis (95% confidence interval (CI): 83.9–100%). The inclusion of smoking, the CD4/CD8 ratio and age in the logistic regression analysis led to a diagnostic yield of 72% measured by the area under the receiving operator characteristic (ROC) curve (95% CI: 64–80%). CONCLUSIONS: Tobacco use, age and a CD4/CD8 ratio below 0.7 allow prediction of the presence of subclinical atherosclerosis in primary prevention. A CD4/CD8 ratio below 0.3 was a diagnostic indicator of atherosclerosis in HIV patients undergoing primary prevention in our sample. BioMed Central 2023-01-10 /pmc/articles/PMC9832619/ /pubmed/36627565 http://dx.doi.org/10.1186/s12879-022-07976-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fernández Soto, Julia
Romero-Jiménez, Manuel J.
Alarcón García, José Carlos
Bonet Estruch, Elena
Sánchez Ramos, José Luís
Castaño López, Miguel Ángel
Predictors of subclinical atherosclerosis in HIV
title Predictors of subclinical atherosclerosis in HIV
title_full Predictors of subclinical atherosclerosis in HIV
title_fullStr Predictors of subclinical atherosclerosis in HIV
title_full_unstemmed Predictors of subclinical atherosclerosis in HIV
title_short Predictors of subclinical atherosclerosis in HIV
title_sort predictors of subclinical atherosclerosis in hiv
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832619/
https://www.ncbi.nlm.nih.gov/pubmed/36627565
http://dx.doi.org/10.1186/s12879-022-07976-1
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