University of Udine

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    Introduzione / Jentrade

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    «Cjâr De Mauro, tu tu riducis, ma crôt che ’l furlan al merte». Con queste parole, nel settembre 1975, Angelo Michele Pittana (Sedegliano, 1930 - Codroipo, 2005) dedicava all’amico Tullio De Mauro, all’epoca ancora scettico sulle potenzialità della lingua friulana, una copia della propria raccolta poetica "Semantiche dal flaut". La convinzione che la lingua friulana meritasse non soltanto impegno, ma anche affetto, e soprattutto intelligenza creativa e ispirata, ha accompagnato l’ingegnere friulano sin dagli anni della sua esperienza lavorativa in Svizzera, dove poté maturare il proprio interesse per le lingue meno diffuse. Da quel momento la sua attività di scrittore trovò modo di esprimersi in varie forme: in una produzione in versi e in prosa di originale fisionomia, nella traduzione e nel costante dialogo con altre letterature, in una vivace attività editoriale volta alla reciproca conoscenza tra diverse esperienze poetiche, in particolare tra quelle in friulano e quelle in romancio, e infine in una significativa attività di ricerca e riflessione lessicografica. Dai contributi raccolti nel volume, dedicati a ciascuno degli ambiti nei quali Pittana ha speso le proprie energie, emerge in modo limpido la personalità di uno dei protagonisti del rinnovamento letterario friulano negli anni Settanta e oltre

    Erratum: Software and computing for Run 3 of the ATLAS experiment at the LHC (The European Physical Journal C, (2025), 85, 3, (234), 10.1140/epjc/s10052-024-13701-w)

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    In this article, the following collaboration members were missing: John Apostolakis at CERN, Geneva, Switzerland Imran Latif at Physics Department, Brookhaven National Laboratory, Upton NY, USA Christian Lepore at Physics Department, Brookhaven National Laboratory, Upton NY, USA Mark Lukasczyk at Physics Department, Brookhaven National Laboratory, Upton NY, USA Mihaly Novak at CERN, Geneva, Switzerland Yingzi Wu at Physics Department, Brookhaven National Laboratory, Upton NY, USA Fedor Prokoshin, affiliated with an institute covered by a cooperation agreement with CERN, Geneva, Switzerland Andrey Sapronov, affiliated with an institute covered by a cooperation agreement with CERN, Geneva, Switzerlan

    HIV Oral Pre-exposure Prophylaxis Effectiveness, Adherence, and Discontinuation in an Italian Multicentric Access Program: ItaPrEP Study

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    Background. Italian oral pre-exposure prophylaxis (PrEP) implementation faced challenges until the drug reimbursement approval in 2023. National real-life data on effectiveness are lacking. This study aimed to report incidence rates (IR) of HIV and other sexually transmitted infections (STIs), along with probabilities and predictors of poor adherence and PrEP discontinuation. Methods. Prospective national cohort study (ItaPrEP) on oral PrEP users (PrUs) in eight Italian centers (September 2017–November 2023) that could partially provide free drug supplies. IRs of HIV and STIs, and Kaplan–Meier estimated probabilities of poor adherence and discontinuation were evaluated. Mixed-effect logistic models with random intercept on the center were used to explore the association between risk factors and poor adherence and discontinuation. Results. About 1758 PrUs were included, 98% MSM; five HIV seroconversions were observed with an IR 0.187/100 person-year follow-up (PYFU; 95% CI: 0.061–0.436). IR/100 PYFU were 13.1 (95%CI:11.7–14.5) for syphilis, 23.8 (95% CI: 22–25.7) for chlamydia, and 24.2 (95% CI: 22.4–26.1) for gonorrhea. The 2-year probability of poor adherence and discontinuation was 57.9% (95% CI: 54.8–61.0) and 37.1% (95% CI: 34.3–40.1), respectively. Chemsex and switching schedule were associated with poor adherence, unlike a high educational level. Age >40 years, free drug supplies, and laboratory monitoring were associated with a lower risk of discontinuation, while chemsex was associated with a higher risk. Conclusions. In this Italian oral PrEP program, the HIV incidence was lower than that observed in pivotal clinical trials in high-risk populations and close to that of observational real-life studies. Identifying fragile groups (youngest, low educational level, and chemsex users) and addressing barriers (free drugs and monitoring) are key to targeting strategies to improve oral PrEP implementation

    Pregnancy in patients with inherited myocardial disorders – A consensus document on preconception counseling and pregnancy management by the working group on myocardial and pericardial disorders of the Italian Society of Cardiology

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    Cardiomyopathies are inherited cardiac disorders characterized by increased risk of heart failure and life-threatening arrhythmias leading to sudden cardiac death. The comprehension of the genetic foundation and the accessibility of genetic testing have significantly enhanced the identification of patients harbouring mutations linked to cardiomyopathy, even in the absence of a distinct phenotype, facilitating early diagnosis. However, the diagnosis at a young age carries the intrinsic problem of the possible disease transmission. Pre-conception counseling of mutation carriers is not always straightforward. Additionally, women with an overt phenotype may be at increased risk of morbidity and mortality during pregnancy and therefore the management of the disease and of the pregnancy needs to be extensively discussed. The present document of the Working Group on Myocardial and Pericardial Disorders of the Italian Society of Cardiology aims to guide physicians, nurses and allied health professionals involved in the care of patients with cardiomyopathy on clinical decision when facing a young woman with a cardiomyopathy, highlighting the gaps on knowledge and strengths for each cardiomyopathy. The importance of pre-pregnancy counseling to better guide the patients and prevent the negative effects of pregnancy on phenotypic expression and disease is also addressed

    Precision Daptomycin Dosing: Comparison of 3-, 2-, 1-, and 0-Concentration Sample Strategies

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    Background: Daptomycin is a once-daily lipopeptide antibiotic with a narrow therapeutic window. As higher doses (8–12 mg/kg) are increasingly used to treat resistant gram-positive infections, achieving therapeutic exposure while minimizing toxicity has become critical. Understanding daptomycin therapeutic drug monitoring (TDM) and what sampling strategy may be most precise and feasible are key to guiding appropriate dosing. The primary objective of this study was to ascertain the precision and bias of a mid-point sample area under the curve over 24-h (AUC24) determination compared to a peak and trough sample AUC24 determination using both simple calculation-based methods and a Bayesian model versus no TDM. Methods: Adult patients receiving daptomycin with at least three steady-state concentrations (peak, mid-point, trough) were included in this analysis. A previously published one-compartment population pharmacokinetic model was applied using Bayesian estimation (Monolix Suite 2024R1). AUC24 values were estimated using all three concentrations (AUCref), and then re-estimated using individual samples (peak, mid-point, or trough) or paired samples (peak + trough). Performance of each strategy was evaluated using regression analysis with the coefficient of determination for precision (R2) and mean bias. Results: The cohort included 210 patients (60% male) with a mean (range) age of 66 (18–91) years, body weight 78 (41–140) kg, and BMI 27 (14–51) kg/m2. A total of 880 daptomycin concentrations were analyzed in patients receiving a mean (range) daptomycin dose of 9 (5–17) mg/kg. The mean (range) AUC24 was 869 (385–1692) mg·h/L; only 45.7% of patients achieved the target range of 666 to 939 mg·h/L. A single mid-point sample had similar correlation to AUC24 (R2 = 0.57) as trough-only (R2 = 0.55), and greater precision than peak-only (R2 = 0.44). Bayesian estimation with two samples (peak + trough) provided the highest accuracy (R2 = 0.87) and lowest bias. Conclusions: A mid-interval sampling strategy offers a practical alternative to traditional TDM for daptomycin, enabling more consistent AUC estimation when full sampling is not feasible. A two-sample Bayesian approach remains the most accurate, supporting broader implementation of individualized daptomycin dosing

    Colchicine for Cardiovascular Prevention: Clarity Amidst the Confusion

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    The role of body composition, cardiometabolic parameters, and resting substrate oxidation in protecting against metabolic syndrome in adolescents with obesity

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    Purpose: The aetiology of metabolic syndrome (MetS) in young people involves a complex interplay between lifestyle, body composition, and cardiometabolic risk factors. The present study aimed to explore the relationships between anthropometric characteristics, body composition, cardiometabolic parameters and resting substrate metabolism in the development of MetS in severely adolescents with obesity. Methods: Seven hundred and thirty adolescents with obesity (mean age: 14.6 ± 2.1 years, BMI > 97th percentile for gender and age) were included in this study. Body composition analysis was obtained using tetrapolar bioelectrical impedance analysis (BIA), while resting substrate oxidation was measured using an indirect calorimeter. Results: MetS was present in 27% of the participants. Compared to those without MetS, adolescents with MetS had significantly higher body mass (+15 kg, p < 0.001), fat-free mass (FFM; +6 kg, p < 0.001), fat mass (+9 kg, p < 0.001), carbohydrate oxidation at rest (CHO; +0.02 g·min−1, p = 0.015), and Homeostasis Model Assessment for Insulin Resistance (HOMA-IR; +0.8, p < 0.001). In adjusted-univariate logistic regression, HOMA-IR (OR: 1.22; 95% CI: 1.12–1.34, p < 0.001) was associated with higher odds of MetS. Conversely, higher FFM percentage (OR: 0.96; 95% CI: 0.93–0.99, p = 0.003) and HDL cholesterol levels (OR: 0.83; 95% CI: 0.81–0.86, p = 0.003) were protective. Conclusion: In adolescents with severe obesity, resting carbohydrate oxidation and HOMA-IR emerged as independent risk factors for MetS, offering additional insight beyond conventional anthropometric and lipid indicators. Conversely, higher FFM and HDL cholesterol levels appeared to exert a protective effect. These findings underscore the importance of incorporating metabolic and body composition variables into MetS risk models and support the promotion of targeted interventions, such as endurance and resistance training, to address modifiable risk factors and reduce the likelihood of developing MetS

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