Sex-Dimorphic Associations of Prior Tuberculosis with Hypertension and Inflammatory Signature in People with HIV: a pilot study
Simweene, C. C.; Sibbenga, F.; Povia, J. P.; Masenga, S. K.
Show abstract
BackgroundPeople with HIV (PWH) experience an increased burden of cardiovascular disease (CVD), partly driven by chronic immune activation despite antiretroviral therapy (ART). Tuberculosis (TB), a frequent co-infection, may leave persistent inflammatory sequelae even after cure, potentially accelerating hypertension and cardiovascular risk. Evidence on long-term cardiometabolic consequences of prior TB in virally suppressed PWH, particularly sex-specific effects, remains limited. MethodsIn a pilot cross-sectional study of 318 PWH, we compared demographics, cardiovascular parameters, and a panel of circulating inflammatory biomarkers between those with and without a history of TB. Logistic regression was used to identify factors associated with TB history in the whole cohort and stratified by sex. ResultsIn the 31 participants (9.7%) with prior TB, univariate analysis identified significant associations with older age, hypertension, longer ART duration, and elevated IL-6 and soluble ST2. Hypertension was strongly associated with TB history in females (OR 4.41, 95% CI: 3.41 (1.57, 7.41) p=0.003) but not males. In multivariate models adjusted for clinical variables, longer ART duration remained an independent correlate in the full cohort. Sex-stratified multivariate analysis revealed that lower IFN-{gamma} was associated with TB history in males (AOR 0.99, p=0.048), while lower IL-5 was associated with TB history in females (AOR 0.99, p=0.042). ConclusionA history of TB is associated with hypertension in PWH, particularly among females, and is linked to sex-specific differences in residual inflammatory pathways. These findings suggest that prior TB may contribute to cardiovascular risk in a sex-disparate manner, warranting further investigation.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Hypertension among people living with HIV/AIDS in Cameroon: A cross-sectional analysis from Central Africa International Epidemiology Databases to Evaluate AIDS. 93%
- Increasing Numbers of Non-communicable Disease Co-morbidities: Major Risk Factors for Hospitalization among a Cohort of People with HIV and COVID-19 Coinfection 93%
- Observational study of effects of HIV Acquisition and Antiretroviral Treatment on Biomarkers of Systemic Immune Activation 93%
Similar papers in this journal
- Racial and ethnic disparities in COVID-19 disease incidence independent of comorbidities, among people with HIV in the US 93%
- Trends in diabetes incidence and associated risk factors among people living with HIV in the current treatment era, 2008-2018 93%
- Senescence-related cytokine levels are associated with HIV-1 serostatus and persistence 93%
Similar papers in this journal
- Chronotropic Incompetence among People with HIV Improves with Exercise Training in the Exercise for Healthy Aging Study 93%
- Impact of cannabis use on immune cell populations and the viral reservoir in people with HIV on suppressive antiretroviral therapy. 92%
- Prediction models for adverse drug reactions during tuberculosis treatment in Brazil 91%
Similar papers in this journal
- Proteomic and Genetic predictors and risk scores of cardiovascular diseases in persons living with HIV 93%
- Pathway-Specific Polygenic Risk Scores for Blood Pressure Traits in a West African Cohort 88%
- Nomogram-Based Prognostic Model to predict the High blood pressure in Children and Adolescents —— Finding from 342,736 individual in China 88%
Similar papers in this journal
- Unusual patterns of risk for diabetic retinopathy in the Mumbai slums: The Aditya Jyot Diabetic Retinopathy in Urban Mumbai Slums Study (AJ-DRUMSS) Report 3 91%
- Social support and ideal cardiovascular health in urban Jamaica: a cross-sectional study 91%
- Cardiovascular Risk Factors and Outcomes in COVID-19: Hospital-Based Prospective Study in India 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.