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Purpose: While tuberculosis remains a significant global health concern, prosthetic joint infections (PJIs) caused by members of the Mycobacterium tuberculosis complex are exceptionally rare. Our objective is to perform a retrospective search of new cases of this disease and analyze all cases available in the literature of tuberculous PJIs, aiming to detect factors that may influence patient outcomes. Methods: The ESGIAI and ESGMYC study groups were used to collect information on non-published cases of tuberculous prosthetic joint infections (PJIs). Additionally, a literature review of all published cases of tuberculous PJIs was conducted. All identified cases in the retrospective study and in the literature review were merged and included in the statistical analysis, involving both univariate and multivariate analyses. Results: Fifteen previously unreported cases of tuberculous prosthetic joint infections (PJIs) from four countries were detailed. Among them, ten patients were female, with a median age of 76 years. The hip was affected in 13 cases. Seven patients experienced co-infection with another microorganism. Treatment approaches varied, with 13 patients undergoing implant removal, one treated with DAIR (debridement, antibiotics, and implant retention), and one case was treated with an unknown treatment method. All patients received antibiotic therapy and achieved a cure. The literature review that was conducted detected 155 published cases. Univariate analysis revealed a statistical significance for previous tuberculosis, joint, and no importance of surgery for cure. Conclusions: Tuberculous prosthetic joint infection (PJI) is a rare condition, typically presenting as a localized chronic infection. Antibiotic treatment is essential for the management of these patients, but neither surgical treatment nor duration of treatment seems to have importance in the outcome. [ABSTRACT FROM AUTHOR]

Nucleoside reverse transcriptase inhibitor (NRTI)- and protease inhibitor (PI)-sparing antiretroviral regimens may be useful in selected human immune deficiency virus (HIV)-infected patients with resistance or intolerance to these drug classes. This was an observational prospective study of patients on suppressive antiretroviral therapy containing two NRTIs plus one ritonavir-boosted PI who switched to a dual regimen containing raltegravir plus etravirine. Patients were required not to have prior virological failure to raltegravir and to have efficacy of etravirine shown through the genotypic resistance assay in case of prior non-nucleoside reverse transcriptase inhibitor (NNRTI) virological failure. As a whole, 38 patients were enrolled. The mean duration of current regimen was 4.3 years, and the reason for simplification was toxicity in 29 patients and resistance to NRTIs in 9 patients. After switching, the percentage of patients with HIV RNA <20 copies/ml at week 48 was 81.6% in the intent-to-treat-exposed analysis. The switch led to a significant reduction in the mean serum triglyceride levels (−81.2 mg/dl), in the mean total cholesterol levels (−44.3 mg/dl), and in the prevalence of tubular proteinuria (−30.2%), with a significant increase in the mean phosphoremia (+0.52 mg/dl) and in both mean lumbar and femoral neck bone mineral density (+6.5% and +4.7%, respectively). Two patients (5.2%) had virological failure due to suboptimal adherence, and five subjects (13.1%) discontinued treatment due to adverse events. In our study, simplification to the dual-therapy raltegravir plus etravirine was associated with a good efficacy and tolerability, in addition to a favorable effect on kidney, bone, and serum lipids. [ABSTRACT FROM AUTHOR]

Background:The combination antiretroviral therapy (cART) has dramatically improved the life expectancy of patients with HIV infection, but may lead to several long-term metabolic abnormalities. However, data about the frequency of metabolic syndrome (MS) in HIV-infected people vary considerably across different observational studies. Methods:The prevalence of MS among HIV-infected patients was evaluated by a cross-sectional study conducted among subjects naive to cART or receiving the first antiretroviral regimen and referring to our Clinics from January 2015 to December 2015. The diagnosis of MS was made based on the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III), and International Diabetes Federation (IDF) criteria. Results:The study recruited 586 patients: 98 naive to cART and 488 under the first antiretroviral treatment. The prevalence of MS, according to NCEP-ATP III criteria, was significantly higher among treated patients than among naive ones (20.9% vs. 7.1%;p = 0.014). The most frequently reported components of MS among treated patients were high triglycerides (44.3%), low high-density lipoprotein cholesterol (41.1%), and hypertension (19.7%). On multivariate analysis, long duration of HIV infection, low nadir of CD4 lymphocytes, high body mass index, current use of one protease inhibitor, and long duration of cART were significantly associated with a higher risk of MS, while current use of one integrase inhibitor was significantly associated with a lower risk of MS. Conclusions:The non-negligible prevalence of MS among HIV-infected patients under cART requires a careful and periodic monitoring of its components, with particular attention to dyslipidemia and hypertension. [ABSTRACT FROM AUTHOR]

The field of tumor phylogenetics focuses on studying the differences within cancer cell populations. Many efforts are done within the scientific community to build cancer progression models trying to understand the heterogeneity of such diseases. These models are highly dependent on the kind of data used for their construction, therefore, as the experimental technologies evolve, it is of major importance to exploit their peculiarities. In this work we describe a cancer progression model based on Single Cell DNA Sequencing data. When constructing the model, we focus on tailoring the formalism on the specificity of the data. We operate by defining a minimal set of assumptions needed to reconstruct a flexible DAG structured model, capable of identifying progression beyond the limitation of the infinite site assumption. Our proposal is conservative in the sense that we aim to neither discard nor infer knowledge which is not represented in the data. We provide simulations and analytical results to show the features of our model, test it on real data, show how it can be integrated with other approaches to cope with input noise. Moreover, our framework can be exploited to produce simulated data that follows our theoretical assumptions. Finally, we provide an open source R implementation of our approach, called CIMICE, that is publicly available on BioConductor.