Suchergebnisse

IntroductionIn a recent clinical trial (ACTG 5257), no difference in viral failure (VF) of a first‐line cART containing atazanavir/r (ATV/r) or darunavir/r (DRV/r) was found [1]. For the endpoint of discontinuation due to intolerance, the regimen with DRV/r was superior to that of ATV/r (49% of the stops of ATV/r were attributed to jaundice or hyperbilirubinemia). These and other intolerances to ATV/r remain a concern for clinicians.MethodsParticipants in the ICONA Foundation Study who started cART with 2NRTI+ ATV/r or DRV/r while ART‐naïve were included. Several endpoints were evaluated: confirmed VF>200 copies/mL after six months of therapy, discontinuation of DRV/r or ATV/r for any reasons or because of intolerance/toxicity (as reported by the treating physician) and the combined endpoint of VF or stop. Survival analysis with Kaplan–Meier curves and Cox regression model stratified by clinical site was used. Patients' follow‐up accrued from cART initiation to the date of the event or to the date of last available visit/viral load.Results894 patients starting 2NRTI+ATV/r and 686 2NRTI+DRV/r when ART‐naïve on average in 2011 (IQR: 2010–2012) were studied. Most common NRTIs used were FTC/TDF (84%) and ABC/3TC (12%). Median age was 40 years, 22% females, 44% heterosexuals. Patients starting ATV/r were more likely to be hepatitis B/C infected (2% and 14% vs 1% and 9%, p=0.001), they started one year earlier (2011 vs 2012, p=0.001), were more likely to be enrolled in sites located in the north of Italy (63% vs 54%, p=0.04), started cART less promptly after HIV diagnosis (5 vs 2 months, p=0.02) and less likely to have started TDF/FTC (83% vs 85%, p=0.02). By two years of cART, 9.8% (95% CI 7.6–12.0) of those starting ATV/r experienced discontinuation due to intolerance/toxicity vs 6.5% in DRV/r group (95% CI 4.2–8.8, p=0.04). After controlling for several potential confounders (age, gender, nation of birth, mode of HIV transmission, hepatitis co‐infection status, AIDS diagnosis, nucleoside pair started, baseline CD4 count and viral load and year of starting cART) the relative hazard (RH) for ATV/r vs DRV/r was 2.01 (95% CI 1.23, 3.28, p=0.005). There were no statistical differences detected for any of the other outcomes.ConclusionsAlthough unmeasured confounding cannot be ruled out, our results seem to be consistent with those of the ACTG 5257. When all cause discontinuations were considered, or the composite endpoint of treatment failure, there was no difference between ATV/r‐ and DRV/r‐based regimens.

IntroductionEmtricitabine/rilpivirine/tenofovir (EVP) is a fixed‐dose combination of antiretrovirals (ARV) approved by the European Medicines Agency in November 2011 and introduced in Italy in February 2013. It is a once‐a‐day single tablet and is licensed in Europe for use only in ARV‐naïve patients with a viral load (VL) ≤100,000 copies/mL.ObjectiveTo identify factors that may be associated with the use of EVP as first‐line regimen in HIV‐infected individuals starting cART from ARV‐naïve in Italy.MethodsClinical sites in ICONA Foundation Study in which ≥1 person had started EVP were selected for this analysis. From these we included all patients who started an EVP‐based cART regimen as well as those starting other cART regimens after the date of introduction of EVP at the site (after February 2013 in any case) and with a VL ≤100,000 copies/mL from ARV‐naïve. Characteristics at the time of starting cART were compared using chi‐square test and unadjusted and adjusted logistic regression analysis. Factors investigated included: gender, mode of HIV transmission, time from HIV diagnosis, CD4 count, nation of birth, AIDS, HCV‐status, age, CD8 count, VL, diabetes, smoking, total and HDL cholesterol, eGFR, blood glucose, level of education and employment and site location. Factors showing unadjusted associations with a p‐value of 10% or smaller, were retained in the multivariable model.ResultsWe identified 183 patients starting EVP and 173 starting the control regimen from 23 sites. The number of patients starting EVP included at each site ranged from 1 to 12 and the number of those starting the control regimen was similar. The most frequently used drugs in the concurrent group were: TDF (75%), FTC (74%), DRV (39%), ATV/r (26%), LPV/r (9%), EFV (13%) and RAL (14%). In univariable analysis, there were differences in median CD4 count (390 cells/mm3 in EVP versus 348 in controls, p=0.002), time from HIV diagnosis to starting cART (11 versus 3 months, p=0.001) and prevalence of students (6% versus 3%, p=0.07). No differences were observed for all other factors examined. The table shows estimates of the odds ratios (OR) for factors included in the multivariable model.ConclusionsCD4 count was higher in EVP‐treated patients compared to controls. Guidelines suggest avoiding initiation of EVP in presence of high VL, possibly explaining this residual difference in CD4. There was also a tendency to prescribe EVP to people with perceived lower adherence or hesitant to start or perhaps with a slow progressing disease.

IntroductionThe aim of this study was to analyze the likelihood and the predictors of discontinuation of first‐line regimen in the late HAART era.MethodologyAn observational multi‐center analysis of HIV‐positive patients enrolled in ICONA. Patients eligible were those starting a first‐line HAART after 1 January 2008. Discontinuation was defined as stop and/or switch of at least one drug of the regimen. All causes of discontinuation, as reported by the treating physician, were evaluated and cumulative risk of stopping was investigated according to age, gender, co‐morbidity, years since starting HAART, immuno‐virological status, third drug and backbone of the first regimen. Kaplan Meier (KM) analysis and Cox proportional hazards model were used for the outcome discontinuation of ≥1 drug regardless of the reason. For the KM estimates a competing risk approach was used to estimate the contribution of each of the reasons over time to the cumulative risk of stopping over time.ResultsData of 1759 patients who started first HAART and had at least one month of clinical follow‐up were analyzed. The overall discontinuation risk was 33% over a median follow‐up of 12 months. The likelihood of discontinuation by KM was 27% by one year (95% CI 25–29) and 41% by two years (95% CI 38–44). Main reason for stopping at least one drug in regimen was simplification (10%), followed by intolerance (7%), toxicity (5%), failure (2%) and other causes (8%). Estimates of the cumulative risk of discontinuation of ≥1 drug over time and according to reason are shown in Figure 1. In a multivariable Cox model independent predictors of discontinuation regardless of the reason were: longer time from HIV diagnosis to date of starting HAART (hazard ratio [HR] 0.96; 95% CI 0.93–1.00; p=0.039), regimens containing ZDV/3TC (HR 2.86; 95% CI 1.42–5.76; p=0.003 vs TDF/FTC) and an NNRTI‐based regimen (HR 2.47; 95% CI 0.91–6.72; p=0.07 vs regimens not NNRTI‐based).ConclusionsIn a previously reported analysis of the ICONA data [1], the overall risk of discontinuation of first‐line HAART was 36% with 21% due to intolerance/toxicity. In this updated analysis, the main reason for stopping is simplification (accounting for 32% of stops), reflecting the recent changes in recommendations aimed to minimize drug toxicity, enhancing adherence and quality of life.

IntroductionPREVALEAT II (PREmature VAscular LEsions and Antiretroviral Therapy II) is an ongoing multicenter, longitudinal cohort study aimed to the evaluation of cardiovascular (CV) risk in advanced HIV‐infected antiretroviral (ARV) naïve patients starting their first antiretroviral therapy (ART).Patients and methodsAll consecutive naïve patients with CD4 cell count<200/mL starting any PI/r‐based or NNRTI‐based + 2 NRTIs regimen from January 2010 to January 2013 in the participant centres were enrolled. At baseline and after 3 (T1), 6 (T2) and 12 (T3) months patients were subjected to epi‐aortic vessels ultrasonography and brachial artery flow mediated dilation (FMD). Viral load, CD4+ cell count, serum lipid values, serum glucose, endothelial activation (ICAM‐1 and VCAM‐1) and inflammatory markers (IL‐6 and hsCRP) values were recorded at the same time. Data about independent risk factors for HIV infection and CV disease are taken at time 0. We enrolled 94 patients: 81% males, 87% caucasians, 40% smokers, 8.2% HCV co‐infected and 3.5% with lipodystrophy; 33% of them were homosexuals, 12% drug addicts; 23% were AIDS at presentation. Statistical data analysis has been conducted by the χ2 nonparametric method.ResultsIn Table 1 it is reported the percentage of patients with pathologic values, moreover, at T3, 60.46% showed undetectable viraemia and 69.77% had CD4 + > 200.ConclusionsOur data evidence at baseline has a relevant deterioration of CV conditions in terms of ultrasonographic data, FMD, inflammation and cytokine markers among advanced naïves. During follow‐up epi‐aortic lesions tend to worsen but not significantly, percentage of pathologic FMD remains stable. Regarding markers of endothelial activation ICAM‐1 significantly worsens during the period of observation; also VCAM‐1 has a trend towards the worsening while not significantly. Conversely, a significant improvement was observed for the markers of inflammation D‐dimers and high sensitivity C‐reactive protein (hsCRP). IL‐6 improved but not significantly. Serum lipid profile shows an increase of HDLc and total cholesterol, but not of LDLc. In conclusion, after a twelve‐month follow‐up period, CV risk of the patients remains high. ARV therapy seems in fact to improve only non‐specific and poor sensitive inflammation biomarkers and HDLc; markers of endothelial activations tend to worsen, intima‐media ultrasonography and FMD do not show relevant modifications. Further data are warranted to better understand the role of the different ARV regimens.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) ; Human immunodeficiency virus type 1 (HIV-1) was discovered in the early 1980s when the virus had already established a pandemic. For at least three decades the epidemic in the Western World has been dominated by subtype B infections, as part of a sub-epidemic that traveled from Africa through Haiti to United States. However, the pattern of the subsequent spread still remains poorly understood. Here we analyze a large dataset of globally representative HIV-1 subtype B strains to map their spread around the world over the last 50years and describe significant spread patterns. We show that subtype B travelled from North America to Western Europe in different occasions, while Central/Eastern Europe remained isolated for the most part of the early epidemic. Looking with more detail in European countries we see that the United Kingdom, France and Switzerland exchanged viral isolates with non-European countries than with European ones. The observed pattern is likely to mirror geopolitical landmarks in the post-World War II era, namely the rise and the fall of the Iron Curtain and the European colonialism. In conclusion, HIV-1 spread through specific migration routes which are consistent with geopolitical factors that affected human activities during the last 50 years, such as migration, tourism and trade. Our findings support the argument that epidemic control policies should be global and incorporate political and socioeconomic factors. ; info:eu-repo/semantics/publishedVersion

Human immunodeficiency virus type 1 (HIV-1) was discovered in the early 1980s when the virus had already established a pandemic. For at least three decades the epidemic in the Western World has been dominated by subtype B infections, as part of a sub-epidemic that traveled from Africa through Haiti to United States. However, the pattern of the subsequent spread still remains poorly understood. Here we analyze a large dataset of globally representative HIV-1 subtype B strains to map their spread around the world over the last 50 years and describe significant spread patterns. We show that subtype B travelled from North America to Western Europe in different occasions, while Central/Eastern Europe remained isolated for the most part of the early epidemic. Looking with more detail in European countries we see that the United Kingdom, France and Switzerland exchanged viral isolates with non-European countries than with European ones. The observed pattern is likely to mirror geopolitical landmarks in the post-World War II era, namely the rise and the fall of the Iron Curtain and the European colonialism. In conclusion, HIV-1 spread through specific migration routes which are consistent with geopolitical factors that affected human activities during the last 50 years, such as migration, tourism and trade. Our findings support the argument that epidemic control policies should be global and incorporate political and socioeconomic factors.

Human immunodeficiency virus type 1 (HIV-1) was discovered in the early 1980s when the virus had already established a pandemic. For at least three decades the epidemic in the Western World has been dominated by subtype B infections, as part of a sub-epidemic that traveled from Africa through Haiti to United States. However, the pattern of the subsequent spread still remains poorly understood. Here we analyze a large dataset of globally representative HIV-1 subtype B strains to map their spread around the world over the last 50 years and describe significant spread patterns. We show that subtype B travelled from North America to Western Europe in different occasions, while Central/Eastern Europe remained isolated for the most part of the early epidemic. Looking with more detail in European countries we see that the United Kingdom, France and Switzerland exchanged viral isolates with non-European countries than with European ones. The observed pattern is likely to mirror geopolitical landmarks in the post-World War II era, namely the rise and the fall of the Iron Curtain and the European colonialism. In conclusion, HIV-1 spread through specific migration routes which are consistent with geopolitical factors that affected human activities during the last 50 years, such as migration, tourism and trade. Our findings support the argument that epidemic control policies should be global and incorporate political and socioeconomic factors.