Publications by authors named "Valeria Tirelli"

Background: The efficacy of long-term hepatitis B virus (HBV) treatment with tenofovir (TDF) in relation to lamivudine (LMV) resistance in HIV patients failing on LMV deserves further investigations.

Methods: HIV-HBV coinfected patients were selected, provided that LMV was included in the first highly active antiretroviral therapy regimen and TDF was subsequently introduced.

Results: Forty HIV-HBV patients were included, 25 had undetectable HBV DNA on LMV and 15 were failing on LMV treatment.

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Data from 197 patients for whom highly active antiretroviral therapy (HAART) failed, who started a new regimen chosen under the guide of resistance testing results interpreted by experts, were retrospectively studied, provided that at least 2 determinations of adherence and plasma drug concentrations were performed during the follow-up. Univariate and multivariable logistic regression analyses were conducted, using confirmed virologic response at week 24 as outcome measure (i.e.

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It is still controversial whether viral hepatitis co-infection can influence antiretroviral plasma drug concentrations and whether drug concentrations are correlated with liver enzyme elevations during highly active antiretroviral therapy. An analysis of data from a cohort of 220 human immunodeficiency virus (HIV)-infected patients was conducted. Univariate and multivariate logistic analyses were performed to identify predictors of plasma drug concentrations.

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Background: Homocysteinemia (Hcy) increase and risk factors in HIV-positive patients are not clear yet.

Methods: HIV-positive patients on stable highly active antiretroviral therapy (HAART) regimens for at least 6 months were enrolled in this cross-sectional study. Among other factors, vitamin B12, folate and length of exposure to protease inhibitors (PIs) were evaluated for their possible correlation with hyper-Hcy (>13 micromol/l in females; >15 micromol/l in males) by logistic regression analysis.

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Objective: To determine the impact of genotypic inhibitory quotient (GIQ) for lopinavir (LPV) in patients failing HAART with limited antiretroviral exposure.

Design: Retrospective analysis of a prospective trial.

Methods: Lopinavir GIQ was calculated as the ratio between the mean trough concentration (C(trough)) and the number of protease mutations using eight different HIV drug resistance mutation lists or algorithms.

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A prospective, randomized pilot trial was conducted in naive patients comparing three different combinations: zidovudine+lamivudine+lopinavir/ritonavir (arm A) versus tenofovir+lamivudine+efavirenz (arm B) versus tenofovir+didanosine+efavirenz (arm C). HIV-RNA slope (days 1, 3, 7, 14 and 28) was slower in arm C with respect to arm B (P < 0.0001).

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Correlates of immune reconstitution after highly active antiretroviral therapy (HAART) are not completely understood, in particular as far as viro-immunological discordant responses are concerned. HIV-positive patients on stable HAART for > or = 1 year were recruited. Viro-immunological responses were categorized according to positive or negative area under the curve (AUC) variations for HIV plasma viral load (pVL) and CD4+ T-cell counts measured at least every 4 months.

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This study aimed at identifying HIV-1 protease amino acid changes associated with protease inhibitor (PI) exposure and susceptibility. New amino acid substitutions were correlated with the number of experienced PIs, reaching statistical significance only for those at positions 3, 44, and 74. The correspondence multivariate model demonstrated that > or =3 experienced PIs and substitutions or mutations at positions 3, 46, 54, 73, 74, and 84 were correlated with PI cross-resistance, including resistance for lopinavir and amprenavir in this cohort of patients who were naive for these drugs.

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Background: HIV drug resistance (HDR) represents a crucial problem in antiretroviral therapy today. HDR mutations can accumulate, persist in the proviral genome and re-emerge, promoting further failure of rescue regimens. Resistance testing on the proviral genome has been suggested in order to detect the presence of archived resistance mutations and to guide drug prescription.

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