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OBJECTIVES: To explore 48 week safety and efficacy of treatment simplification to atazanavir/ritonavir + lamivudine in HIV-infected patients with virological suppression on a stable atazanavir/ritonavir-based standard triple regimen. METHODS: This was a single-arm pilot study, enrolling 40 patients on atazanavir/ritonavir + two nucleos(t)ide reverse transcriptase inhibitors (NRTIs), without previous treatment failure, with HIV-RNA <50 copies/mL for >3 months and CD4 >200 cells/mm(3). At baseline, patients were switched to 300/100 mg of atazanavir/ritonavir + 300 mg of lamivudine once daily. Laboratory parameters, atazanavir plasma levels, self-reported adherence, quality of life, neurocognitive performance, bone composition and body fat distribution were monitored. Virological failure was defined as HIV-RNA >50 copies/mL on two consecutive determinations or a single level >1000 copies/mL. RESULTS: After 48 weeks, 4/40 (10%) regimen discontinuations occurred: 1 death (brain haemorrhage), 1 study withdrawal (inadequate atazanavir plasma levels), 1 re-induction with two NRTIs due to pregnancy and 1 virological failure without development of resistance. Seven moderate to severe adverse events were recorded (including four renal colics, possibly treatment-related) in six patients. At week 48, increases in total (mean change +17 mg/dL, P = 0.001), high-density lipoprotein (+6 mg/dL, P < 0.001) and low-density lipoprotein (+8 mg/dL, P = 0.052) cholesterol were observed. The glomerular filtration rate improved (+7 mL/min/1.73 m(2), P < 0.001), as did scores exploring self-reported physical and mental health (+11, P = 0.009 and +13, P < 0.001 on a 0-100 scale), neuropsychological performance (-1 pathological task, P = 0.002) and total bone mineral density (+0.03 g/cm(2), P = 0.026). There were no significant changes in CD4 cell count, bilirubin, atazanavir plasma levels, adherence and body fat distribution over time. CONCLUSIONS: Simplification to ata

One of the important questions in biological evolution is to know if certain changes along protein coding genes have contributed to the adaptation of species. This problem is known to be biologically complex and computationally very expensive. It, therefore, requires efficient Grid or cluster solutions to overcome the computational challenge. We have developed a Grid-enabled tool (gcodeml) that relies on the PAML (codeml) package to help analyse large phylogenetic datasets on both Grids and computational clusters. Although we report on results for gcodeml, our approach is applicable and customisable to related problems in biology or other scientific domains.

M Lauriola1, R Murri3, M Massella4, M Mirra4, S Donnini4, V Fragola4, J Ivanovic5, M Pavoni6, G Mancini2, R Bucciardini41Department of Social and Developmental Psychology, 2Department of Infectious and Tropical Diseases, University of Rome “La Sapienza”, Rome, Italy; 3Catholic University of “Sacro Cuore”, Rome, Italy; 4Istituto Superiore di Sanità, Rome, Italy; 5National Institute for Infectious Diseases Lazzaro Spallanzani, Rome, Italy; 6Ospedale Civile Santa Maria delle Croci, Ravenna, ItalyObjectives: The Italian National Institute of Health Quality of Life – Core Evaluation Form (ISSQoL-CEF) is a specific questionnaire measuring health-related quality of life for human immunodeficiency virus-infected people in the era of highly active antiretroviral therapy. The main goal of this study was to examine the construct validity of this questionnaire by confirmation of its hypothesized dimensional structure.Methods: Baseline quality of life data from four clinical studies were collected and a confirmatory factor analysis of the ISSQoL-CEF items was carried out. Both first-order and secondorder factor models were tested: Model 1 with nine correlated first-order factors; Model 2 with three correlated second-order factors (Physical, Mental, and Social Health); Model 3 with two correlated second-order factors (Physical and Mental/Social Health); Model 4 with only one second-order factor (General Health).Results: A total of 261 patients were surveyed. Model 1 had a good fit to the data. Model 2 had an acceptable fit to the data and it was the best of all hierarchical models. However, Model 2 fitted the data worse than Model 1.Conclusions: The findings of in this study, consistent with the results of previous study, pointed out the construct validity of the ISSQoL-CEF.Keywords: confirmatory factor analysis, HRQoL, patient-reported outcomes