Hypogonadism and bone health in men with HIV.

The advent of new classes of antiretroviral drugs has improved the survival of people with HIV, and several ageing-related conditions, including hypogonadism and osteoporosis, have emerged. However, both are silent conditions, and are underestimated, underdiagnosed, and not adequately treated. Several factors, including the effects of the virus, antiretroviral therapy, lifestyle factors, and comorbidities, contribute to testicular dysfunction, which in turn has important effects on bone health. The prevalence of hypogonadism is approximately 20% among men with HIV, but extreme variability in the laboratory and clinical assessment of hypogonadism is reported. The prevalence of osteoporosis is 10-30%, but the poor quality of most studies does not allow definitive conclusions on clinical management. Nonetheless, the early and detailed evaluation of gonadal function and bone health is crucial for improving the quality of life of men with HIV.

Plasma HIV load and proviral DNA decreases after two standard antiretroviral regimens in HIV-positive patients naïve to antiretrovirals.

(i) To compare early decrease of HIV plasma viral load (pVL) after two standard combinations of highly active antiretroviral therapy (HAART). (ii) To evaluate variations of proviral HIV-DNA load on conditions of sustained pVL undetectability. Two different sub-studies of a multicentre prospective randomized controlled trial which compared two first-line HAART (i.e., zidovudine+lamivudine+lopinavir/ritonavir versus tenofovir+lamivudine+ efavirenz). Only patients enrolled at the coordinating centre (University of Brescia) were included in the two sub-studies. In the first sub-study, we calculated pVL decrease with respect to baseline at any of the following time-points: days 1, 3, 7, 14 and 28. Decreases of the pVL were compared between the two treatment groups. In the second sub-study, we analyzed variation of proviral HIV-DNA load in CD4+ T-cells from baseline to week 52 only in patients who maintained the same treatment regimen and had sustained undetectable pVL. In either studies, linear regression analysis was used to investigate what factors could influence variations of pVL and of proviral HIV-DNA load. (i) 64 patients were studied. A significant decrease of pVL was found from day 3 on, without statistically significant differences between the two study groups. However, after adjusting for possible confounders, tenofovir+lamivudine+efavirenz resulted to be associated with greater pVL decreases. (ii) 45 patients were studied. Mean proviral HIV-DNA load decreased from 1,610 (95%CI: 879-2,341) to 896 (95% CI 499-1,293) copies/10(6) cells (P=0.05). Linear regression analysis showed that the decrease of proviral DNA load during follow-up was independently and inversely correlated with age. Further studies are needed to compare pVL decay between antiretroviral regimens and assess whether proviral HIV-DNA load is a surrogate marker of treatment effectiveness.