Factors associated with viremia in people living with HIV on antiretroviral therapy in Guatemala.

INTRODUCTION: Viral suppression prevents HIV transmission and disease progression, but socio-economic and clinical factors can hinder the goal of suppression. We evaluated factors associated with viral non suppression (VNS) and persistent viremia (PV) in people living with HIV (PLHIV) receiving antiretroviral therapy (ART) in Guatemala. METHODS: We conducted a cross sectional analysis using data from an ongoing cohort of PLHIV attending the largest HIV clinic in Guatemala. Univariable and multivariable analyses were conducted between PLHIV with viral suppression and detectable viremia. VNS was defined as most recent HIV RNA ≥ 200 copies/ml and PV as two consecutive HIV RNA ≥ 200 copies/ml. RESULTS: Of 664 participants, 13.3% had VNS and 7.1% had PV. In univariable analysis disaggregated by gender, low income, poor education, perceived difficulty attending healthcare, and alcohol use were associated with VNS in men while low CD4 at diagnosis, multiple prior ART regimens and treatment interruptions were significant in both genders. Multiple prior ART regimens (adjusted Odds Ratio (aOR) 2.82, [95% confidence interval (CI) 1.59, 4.99], p < 0.01), treatment interruptions (aOR 4.51, [95% CI 2.13, 9.58], p < 0.01), excessive alcohol consumption (aOR 2.56, [95% CI 1.18, 5.54], p < 0.05) perceived difficulty attending healthcare (aOR 2.07, [ 95% CI 1.25, 3.42], p < 0.01) and low CD4 at diagnosis (aOR 2.34, 95% [CI 1.30, 4.20], p < 0.01) were independently associated with VNS on multivariable regression. CONCLUSIONS: We conclude that socio-economic and clinical factors influence viral suppression in our cohort and vary between men and women. Gender specific approaches are necessary to achieve the 90% suppression goal.

Metabolic syndrome in people with HIV from Guatemala: analysis of components and risk factors.

BACKGROUND: People with HIV (PWH) in Latin America are at a greater risk of developing comorbidities due to the increasing burden of obesity and metabolic syndrome in the region. We explored the associations between social, cardiovascular and HIV-related risk factors with metabolic syndrome in PWH from Guatemala. METHODS: Cross-sectional study analyzing demographic, clinical and laboratory data from PWH. Metabolic syndrome diagnosis and components are defined by the harmonized Joint Scientific Statement criteria. Data were collected from July 2019 to March 2020 and analyzed using correlations and logistic regression. RESULTS: Median age was 39 years [IQR 31-48], 56.8% of participants were male and 31.5% (n = 266, 95% CI 0.28-0.34) had metabolic syndrome. Age (adjusted odds ratio (aOR): 1.03, 95% CI 1.02-1.05, p <0.001), urban dweller (aOR: 1.48, 95% CI 1.00-2.18, p = 0.049), low physical activity (aOR: 1.45, 95% CI 1.01-2.08, p = 0.046), hyperuricemia (aOR: 3.31, 95% CI 1.93-5.67, p <0.001), current CD4+ T cell count < 200 cells/mm3 (aOR: 1.96, 95% CI 1.19-3.23, p = 0.009), 6 months of efavirenz (aOR: 1.89, 95% CI 1.29-2.77, p = 0.001), and obesity (aOR: 37.0, 95% CI 7.70-178.2, p < 0.001) were independently associated with metabolic syndrome. CONCLUSIONS: Prevalence of metabolic syndrome in this study was high and driven mainly by social and cardiovascular risk factors such as age, urban dwelling, obesity, hyperuricemia and low physical activity. Efavirenz use and CD4 count were the only HIV-related factors associated with metabolic syndrome.