169 research outputs found

    Mechanical performance of epoxy coated AR-glass fabric Textile Reinforced Mortar: Influence of coating thickness and formulation

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    The mechanical performance of epoxy coated AR-glass fabric reinforced composite is investigated. A three-stage manufacturing process is considered, which involves fabric surface functionalization, liquid coating deposition and long-term setting and finally fabric embedment in the mortar matrix. Two epoxy coatings are considered, which only differ by the hardening agent. However, coating thickness is significantly diverse as a result of modified viscosity during liquid deposition. Performance is assessed in uni-axial tension as well as in three-point bending and it is expressed in terms of strength curves, data dispersion, crack pattern and failure mechanism. Remarkably, despite being very similar, the analyzed coatings produce a significantly different performance, especially when data dispersion is incorporated and design limits are considered. Indeed, although both coatings are able to consistently deliver fabric rupture at failure, only the thinnest is associated with small data scattering and an almost plastic post-peak behavior in bending. The associated design elongation limit reaches the maximum allowed value according to the ICC guidelines. In fact, it appears that coating thickness plays a crucial role in determining mechanical performance and fabric flexibility. The proposed manufacturing process proves extremely effective at enhancing matrix-to-fabric adhesion and thereby prevent telescopic failure

    Antithrombin III in patients admitted to intensive care units: a multicenter observational study

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    INTRODUCTION: The administration of antithrombin III (ATIII) is useful in patients with congenital deficiency, but evidence for the other therapeutic indications of this drug is still uncertain. In Italy, the use of ATIII is very common in intensive care units (ICUs). For this reason we undertook an observational study to determine the pattern of use of ATIII in ICUs and to assess the outcome of patients given this treatment. METHODS: From 20 May to 20 July 2001 all consecutive patients admitted to ICUs in 20 Italian hospitals and treated with ATIII were enrolled. The following information was recorded from each patient: congenital deficiency, indication for use of ATIII, daily dose and duration of ATIII treatment, outcome of hospitalization (alive or dead). The outcome data of our observational study were compared with those reported in previously published randomized controlled trials (RCTs). RESULTS: Two hundred and sixteen patients were enrolled in the study. The clinical indications for using ATIII were sepsis (25.9%), disseminated intravascular coagulation (23.1%), and other clinical conditions (46.8%). At the end of the study, 65.3% of the patients were alive, 24.5% died and 10.2% were still in the hospital. Among the patients with sepsis (n = 56), 19 died during the observation period (33.9%; 95% confidence interval 22.1–47.5%). DISCUSSION: Our study described the pattern of use of ATIII in Italian hospitals and provided information on the outcome of the subgroup treated with sepsis. A meta-analysis of current data from RCTs, together with our findings, indicates that there is no sound basis for using this drug in ICU patients with sepsis

    Drug repositioning: auranofin as a prospective antimicrobial agent for the treatment of severe staphylococcal infections

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    Auranofin, (AF), a gold(I) complex in clinical use for the therapy of rheumatoid arthritis, is reported here to produce remarkable bactericidal effects in vitro against Staphylococcus sp. Noticeably, a similar antimicrobial action and potency are also noticed toward a few methicillin-resistant Staphylococcus aureus strains but not toward Escherichia coli. The time and concentration dependencies of the antimicrobial actions of AF have been characterized through recording time kill curves, and a concentration dependent profile highlighted. Overall, the present results point out that auranofin might be quickly and successfully repurposed for the treatment of severe bacterial infections due to resistant Staphylococci

    A calculator program for clinical application of the Bayesian method of predicting plasma drug levels

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    A pharmacokinetic program that allows individualization of drug dosage regimens through the Bayesian method is described. The program, which is designed for the Hewlett-Packard HP-41 CV calculator, is based upon the one-compartment open model with either instantaneous or zero-order absorption. Individualized estimation of the patient's kinetic parameters (clearance and volume of distribution) is performed by analyzing the plasma levels measured in the patient as well as considering the population data of the drug. After estimating the individual kinetic parameters by the Bayesian method, the program predicts the dosage regimen that will elicit the desired peak and trough plasma levels at steady state. For comparison purposes, the least-squares estimates for clearance and volume of distribution are calculated, and dosage prediction can also be made on the basis of the least-squares estimates. The least-squares estimates can be used to calculate population pharmacokinetic parameters according to the Standard Two-Stage method.Several examples of clinical use of the program are presented. The examples refer to patients with classic hemophilia who were treated with Factor VIII concentrates. In these patients, the Bayesian kinetic parameters of Factor VIII have been estimated through the calculator program. The Bayesian parameter estimates generated by the HP-41 have been compared with those determined by a Bayesian program (ADVISE) designed for microcomputers.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25858/1/0000421.pd

    Key performance indicators for monitoring the integrated care pathway in breast cancer: the E.Pic.A. project

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    Introduction: Due to its high incidence, evaluating performance of care delivered to breast cancer patients is a crucial issue. The multidisciplinary panel E.Pic.A. (Economic Appropriateness of an Integrated Care Pathway) defined a set of key performance indexes (KPIs) to evaluate economic waste in breast cancer healthcare interventions. Methods: The E.Pic.A. panel identified the principal KPIs that are crucial within the breast cancer care pathway to evaluate the performance of care. KPIs were defined taking into account their reliability, validity, usability and feasibility of measurement through the linkage between multiple routine healthcare data sources. Results: 7 KPIs were identified: 3 on instrumental diagnostics, 2 on surgery and 2 on treatment. The 3 KPIs regarding instrumental diagnostics are aimed at assessing the inappropriateness of diagnostic tests performed before and after the index surgery. The 2 KPIs regarding surgery measure the inappropriateness of possible repeated interventions considering the time elapsed from the index surgery. The 2 KPIs regarding oncologic therapy measure the inappropriateness about the administration time of adjuvant therapy and radiotherapy considering the time elapsed from the index surgery. Conclusion: E.Pic.A methodology could help to evaluate economic waste in healthcare interventions with the objective of redirecting resources to interventions with greater value
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