Management of hepatitis B virus prophylaxis in patients treated with disease-modifying therapies for multiple sclerosis: a multicentric Italian retrospective study

Background: Patients with multiple sclerosis (MS) often receive disease-modifying therapies (DMTs) that can expose them to reactivation of potential occult hepatitis B virus (HBV) infection (pOBI). We aimed to evaluate the MS Centers behavior regarding HBV screening and prophylaxis in a large cohort of MS patients receiving anti-CD20 or cladribine. Methods: Retrospective, multicentric study recruiting Italian MS patients treated with rituximab, ocrelizumab and cladribine. Results: We included 931 MS patients from 15 centers. All but 38 patients performed a complete HBV screening. Patients' age > 50 years was significantly associated with no history of vaccination and HBsAb titres < 100 mIU at baseline (p < 0.001). No significant correlation was found between post-vaccination HBsAb titres and type of treatment (p = 0.5), pre-or post-therapy vaccination (p = 0.2) and number of previous DMTs (p = 0.2). Among pOBI patients (n = 53), 21 received antiviral prophylaxis, while only 13 had HBV DNA monitoring and 19 patients neither monitored HBV DNA nor received prophylaxis. Conclusions: Baseline HBV screening in patients receiving anti-CD20 and cladribine is a consolidated practice. Nonetheless, HBV vaccination coverage is still lacking in such population and age is a significant factor associated with low HBV protection. Rituximab, ocrelizumab and cladribine did not impair HBV vaccine response. Almost 35% of pOBI patients fail to receive HBVr prevention. Management of HBV prophylaxis could be improved in MS patients and further prospective studies are needed to assess the effectiveness of prophylactic strategies in such patients

A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease

Background: Mechanisms of myocardial ischemia in obstructive and non-obstructive coronary artery disease (CAD), and the interplay between clinical, functional, biological and psycho-social features, are still far to be fully elucidated. Objectives: To develop a machine-learning (ML) model for the supervised prediction of obstructive versus non-obstructive CAD. Methods: From the EVA study, we analysed adults hospitalized for IHD undergoing conventional coronary angiography (CCA). Non-obstructive CAD was defined by a stenosis < 50% in one or more vessels. Baseline clinical and psycho-socio-cultural characteristics were used for computing a Rockwood and Mitnitski frailty index, and a gender score according to GENESIS-PRAXY methodology. Serum concentration of inflammatory cytokines was measured with a multiplex flow cytometry assay. Through an XGBoost classifier combined with an explainable artificial intelligence tool (SHAP), we identified the most influential features in discriminating obstructive versus non-obstructive CAD. Results: Among the overall EVA cohort (n = 509), 311 individuals (mean age 67 ± 11 years, 38% females; 67% obstructive CAD) with complete data were analysed. The ML-based model (83% accuracy and 87% precision) showed that while obstructive CAD was associated with higher frailty index, older age and a cytokine signature characterized by IL-1β, IL-12p70 and IL-33, non-obstructive CAD was associated with a higher gender score (i.e., social characteristics traditionally ascribed to women) and with a cytokine signature characterized by IL-18, IL-8, IL-23. Conclusions: Integrating clinical, biological, and psycho-social features, we have optimized a sex- and gender-unbiased model that discriminates obstructive and non-obstructive CAD. Further mechanistic studies will shed light on the biological plausibility of these associations. Clinical trial registration: NCT02737982

The Sex-Specific Detrimental Effect of Diabetes and Gender-Related Factors on Pre-admission Medication Adherence Among Patients Hospitalized for Ischemic Heart Disease: Insights From EVA Study

Background: Sex and gender-related factors have been under-investigated as relevant determinants of health outcomes across non-communicable chronic diseases. Poor medication adherence results in adverse clinical outcomes and sex differences have been reported among patients at high cardiovascular risk, such as diabetics. The effect of diabetes and gender-related factors on medication adherence among women and men at high risk for ischemic heart disease (IHD) has not yet been fully investigated.Aim: To explore the role of sex, gender-related factors, and diabetes in pre-admission medication adherence among patients hospitalized for IHD.Materials and Methods: Data were obtained from the Endocrine Vascular disease Approach (EVA) (ClinicalTrials.gov Identifier: NCT02737982), a prospective cohort of patients admitted for IHD. We selected patients with baseline information regarding the presence of diabetes, cardiovascular risk factors, and gender-related variables (i.e., gender identity, gender role, gender relations, institutionalized gender). Our primary outcome was the proportion of pre-admission medication adherence defined through a self-reported questionnaire. We performed a sex-stratified analysis of clinical and gender-related factors associated with pre-admission medication adherence.Results: Two-hundred eighty patients admitted for IHD (35% women, mean age 70), were included. Around one-fourth of the patients were low-adherent to therapy before hospitalization, regardless of sex. Low-adherent patients were more likely diabetic (40%) and employed (40%). Sex-stratified analysis showed that low-adherent men were more likely to be employed (58 vs. 33%) and not primary earners (73 vs. 54%), with more masculine traits of personality, as compared with medium-high adherent men. Interestingly, women reporting medication low-adherence were similar for clinical and gender-related factors to those with medium-high adherence, except for diabetes (42 vs. 20%, p = 0.004). In a multivariate adjusted model only employed status was associated with poor medication adherence (OR 0.55, 95%CI 0.31–0.97). However, in the sex-stratified analysis, diabetes was independently associated with medication adherence only in women (OR 0.36; 95%CI 0.13–0.96), whereas a higher masculine BSRI was the only factor associated with medication adherence in men (OR 0.59, 95%CI 0.35–0.99).Conclusion: Pre-admission medication adherence is common in patients hospitalized for IHD, regardless of sex. However, patient-related factors such as diabetes, employment, and personality traits are associated with adherence in a sex-specific manner

COVID-19 R0: Magic Number or Conundrum?

There is an increasing concern about COVID-19 worldwide. [...

Appropriateness of antibiotic prescription for targeted therapy of infections caused by multidrug-resistant bacteria: Assessment of the most common improper uses in a tertiary hospital in Southern Italy

A huge proportion of antibiotic therapies for infections caused by multidrug-resistant bacteria (MDR) are inappropriate. In this study, we described the most common causes of inappropriateness of definitive antibiotic regimes in a large university hospital in southern Italy and we evaluated the impact on microbial eradication, length of stay, 30-day readmission and mortality. We retrospectively assessed 45 patients who received a definitive antibiotic therapy after isolation of multidrug-resistant Staphylococcus aureus, Enterococcus spp., Enterobacteriaceae, Pseudomonas aeruginosa and Acinetobacter spp. strains between 2014 and 2015. From the literature, we set a series of criteria to retrospectively determine the appropriateness of the therapy. In all, 61% of the prescribed antibiotic regimes were found to be inappropriate, especially due to incorrect drug dosage. It emerged that meropenem was the antibiotic most frequently inappropriately used. In 46% of infections caused by MDR but not extended-spectrum β-lactamase-producing Enterobacteriaceae, carbapenems were inappropriately administered. Microbial eradication was achieved in 87% of the appropriate therapy group compared to 31% of the inappropriate therapy group (chi-square=6.750, p<0.027). No statistically significant association was found between inappropriate therapy and the length of stay (chi-square=3.084, p=0.101) and 30-day readmission (p=0.103). Definitive antibiotic therapy in infections caused by multidrug-resistant bacteria in a large university hospital is often inappropriate, especially due to the drug dosing regimen, particularly in the case of meropenem and colistin. This inappropriateness has a significant impact on post-treatment microbial eradication in specimens collected after antibiotic therapy

Microbiota and hepatitis C virus in the era of direct-acting antiviral agents

: The gut microbiota plays a fundamental role in Hepatitis C Virus (HCV)-related liver disease. Indeed, HCV infection alters the gut microbiota, whereas intestinal dysbiosis induces an underlying inflammatory state. This status may lead to liver disease progression. The advent of direct acting antivirals (DAAs) was a turning point in the history of HCV infection, which enhances the chances of recovery. Beyond the elimination of the virus, DAA therapy can affect the gut microbiota of the HCV patient. The study of the gut microbiota in the patient with HCV-related liver disease could be the first step in understanding the etiopathogenesis of hepatopathy thereby opening the way to new therapeutic opportunities. Herein we evaluate current knowledge regarding the gut microbiota in patients with HCV infection and the impact of DAA therapy

Randomized study on provisional stenting with sirolimus-eluting stent vs. bare metal stent for the treatment of true coronary bifurcations. the PROSUMER (PROvisional with sirolimus-eluting vs. bare metal stents in truE bifuRcations) study

Percutaneous treatment of coronary bifurcations with stent implantation is still a matter of debate. Despite the implementation of numerous techniques to stent both branches, none has shown clinical and angiographic superiority to the main branch (MB) stent technique with provisional T-stenting of the side branch (SB) in case of dissection or residual severe disease.In addition, concerns have been raised about safety of drug-eluting stents (DES) because of the greater late and very late stent thrombosis and mortality as compared to bare metal stents (BMS). Also, technical characteristics of stents (i.e. high radial force, favorable vessel wall covering percentage and larger patency of SBs) seem to be crucial factors in case of provisional T-stenting strategy. To address these issues,we designed the PROSUMER (PROvisional with sirolimus-eluting vs. bare metal stents in truE bifuRcations) study in order to prospectively and randomly compare the safety and efficacy of sirolimus-eluting stent (SES) vs. a BMS in case of treatment of true coronary bifurcation lesions with provisional T-stenting. The study was designed as a prospective, single-center pilot trial, and included consecutive angina patients with a de novo true coronary artery bifurcation lesion (Medina classifications 1,1,1 or 1,0,1 or 0,1,1) who were allocated to SES or a novel BMS.In conclusion, the PROSUMER study is a prospective and randomized investigation that shows that a BMS with favorable characteristics for bifurcations is a good alternative to SES when the provisional stenting technique is applied, thus suggesting that stent design and technical features are crucial factors in case of provisional stenting of coronary bifurcations. These findings, however, should be considered hypothesis-generating and other larger trials are needed to identify the best option for treating coronary bifurcations

Monoclonal antibodies for mild-to-moderate COVID-19 in multiple sclerosis: A case series

We reported on five people with MS, using immunodepleting disease modifying treatments (anti-CD20 monoclonal antibodies and sphingosine-one-phosphate modulators) and with reduced COVID-19 vaccine response, who had mild-to-moderate symptomatic COVID-19, and were treated with anti-SARS-CoV-2 monoclonal antibodies. In particular, we showed the possibility to use monoclonal antibodies to speed-up recovery from COVID-19 in MS, in the absence of any COVID-19 residuals or MS changes (e.g., relapses or disability)

ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots

Human-like trajectory generation and footstep planning represent challenging problems in humanoid robotics. Recently, research in computer graphics investigated machine-learning methods for character animation based on training human-like models directly on motion capture data. Such methods proved effective in virtual environments, mainly focusing on trajectory visualization. This paper presents ADHERENT, a system architecture integrating machine-learning methods used in computer graphics with whole-body control methods employed in robotics to generate and stabilize human-like trajectories for humanoid robots. Leveraging human motion capture locomotion data, ADHERENT yields a general footstep planner, including forward, sideways, and backward walking trajectories that blend smoothly from one to another. Furthermore, at the joint configuration level, ADHERENT computes data-driven whole-body postural reference trajectories coherent with the generated footsteps, thus increasing the human likeness of the resulting robot motion. Extensive validations of the proposed architecture are presented with both simulations and real experiments on the iCub humanoid robot, thus demonstrating ADHERENT to be robust to varying step sizes and walking speeds