Cytomegalovirus coinfection is associated with an increased risk of severe non-AIDS-defining events in a large cohort of HIV-infected patients.

BACKGROUND: Chronic cytomegalovirus (CMV) infection has been associated with immunosenescence and immunoactivation in the general population. In human immunodeficiency virus type 1 (HIV-1)-infected people, CMV coinfection, in addition to residual HIV replication and microbial translocation, has been proposed as a key factor in sustaining immune activation, even in individuals with a controlled HIV load. METHODS: Patients from the ICONA Study with at least 1 CMV immunoglobulin G (IgG) test available without active CMV disease were included in the analysis. AIDS-defining event or AIDS-related death and severe non-AIDS-defining event or non-AIDS-related death were taken as clinical progression end points. Independent predictors of CMV were identified by multivariable logistic regression. Probabilities of reaching the end points were estimated by survival analyses. RESULTS: A total of 6111 subjects were included, of whom 5119 (83.3%) were CMV IgG positive at baseline. Patients with CMV IgG positivity at baseline were more likely to develop a severe non-AIDS-defining event/non-AIDS-related death (adjusted hazard ratio [HR], 1.53 [95% confidence interval {CI}, 1.08-2.16]. In particular, CMV seropositivity was an independent risk factor for cardiovascular and cerebrovascular diseases (adjusted HR, 2.27 [95% CI, .97-5.32]). CONCLUSIONS: In our study population, CMV/HIV coinfection was associated with the risk of severe non-AIDS-defining events/non-AIDS-related death, especially with cardiovascular and cerebrovascular events, independently of other prognostic factors. This finding supports a potential independent role of CMV coinfection in vascular/degenerative organ disorders in HIV-infected subjects.

Viral tropism by geno2pheno as a tool for predicting CD4 decrease in HIV-1-infected naive patients with high CD4 counts.

OBJECTIVES: To investigate the value of tropism (determined by genotypic testing) to predict CD4 depletion in HIV-infected antiretroviral-naive patients with high CD4 counts. METHODS: Viral tropism was determined by geno2pheno (false positive rate = 10%) in 223 HIV-infected subjects naive to antiretrovirals with CD4 count ≥350 cells/µL and HIV-RNA >500 copies/mL enrolled in the ICONA Foundation Study for whom a stored plasma sample (baseline) was retrospectively tested. We monitored CD4 cell count and identified predictors of decline before antiretroviral therapy initiation, applying a mixed linear model with covariates (age, gender, tropism, HIV risk factor, calendar year of HIV infection, months from HIV diagnosis to baseline, hepatitis C virus status, CD4 and HIV-RNA at sample collection and duration of follow-up). RESULTS: Two hundred and twenty-three subjects met the eligibility criteria; 137 (61%) were male and the median age was 35 (31-40) years. Median follow-up was 16.4 (3.2-37.2) months. Median CD4 decrease during follow-up was -157 (-278 to -13) cells/µL. At baseline, 192 (86%) subjects were defined as harbouring R5 virus and 31 (14%) non-R5. Median CD4 count was 571 (458-729) cells/µL and median HIV-RNA was 4.08 (3.57-4.55) log(10) copies/mL. At multivariable analysis, a greater mean CD4 decrease was associated with non-R5 viral tropism (-159.9 ± 12.22, P = 0.0002) at baseline. Other significant covariates were female gender, older age, intravenous drug use, longer duration of follow-up, and higher CD4 cell count and higher HIV-RNA at sample collection. CONCLUSIONS: In patients with CD4 counts ≥350 cells/µL, non-R5 viral tropism by geno2pheno is predictive of CD4 decrease independent of their viral set point and CD4 counts.