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Abstract The role of antiviral treatment in coronavirus disease 2019 hospitalized patients is controversial. To address this question, we analyzed simultaneously nasopharyngeal viral load and the National Early Warning Score 2 (NEWS‐2) using an effect compartment model to relate viral dynamics and the evolution of clinical severity. The model is applied to 664 hospitalized patients included in the DisCoVeRy trial (NCT04315948; EudraCT 2020‐000936‐23) randomly assigned to either standard of care (SoC) or SoC + remdesivir. Then we use the model to simulate the impact of antiviral treatments on the time to clinical improvement, defined by a NEWS‐2 score lower than 3 (in patients with NEWS‐2

Consumption of antimicrobials is an important driver of antimicrobial resistance. There is limited knowledge of the key determinants of antimicrobial prescribing behavior in hospitals. An understanding of these determinants is required for the successful design, adoption, and implementation of quality improvement interventions in Antimicrobial Stewardship Programs (ASP). This study aimed to describe the main factors that influence the doctor’s decision on antimicrobials prescribing and to identify the behaviors that drive physicians’ decision making. A structured web-based questionnaire focused on behavioral components of antimicrobial prescription was applied to the medical staff of three different departments—Internal Medicine, General Surgery, and Intensive Care Medicine—of a university hospital. All doctors agreed that inadequate use of antimicrobials increases AMR. A total of 77% of the surgeons and 100% of the internists and intensivists perceived antimicrobial prescription as a priority in the department. Full autonomy in antimicrobial prescription was preferred by internists (64%) but not by surgeons (18%) and intensivists (24%). Most physicians were keen to have ASP advice, but most did not want advice from colleagues of the same service. Almost all surgeons ask for advice when prescribing, but only 68% of the internists do it. Less than half of all physicians and only 25% of the surgeons felt free to prescribe contrary to guidelines. Most physicians, particularly in Intensive Care Medicine (94%), adopt the “wait and see” strategy when no microbiologic confirmation is available, but 27% of the surgeons start empirical therapy. In conclusion, the context of antimicrobial prescription, autonomy, and confidence in antimicrobial prescription demonstrated heterogeneity between the three departments and this should be considered when planning ASP.

Although antimicrobial consumption is considered the main driver of antimicrobial resistance (AMR), other factors probably have a significant but less studied impact. The study’s goal was to assess AMR drivers across different European countries and quantify their possible contributions using the latest data available. Using the ESAC-Net (European Surveillance of Antimicrobial Consumption Network) database, the ESVAC (European Surveillance of Veterinary Antimicrobial Consumption) database and the OECD (Organisation for Economic Cooperation and Development) information, a dataset including 23 European countries was created. Associations between AMR and potential contributing factors were assessed using bivariate correlation and multiple linear regression models for multivariable analyses. Factors associated with the AMR rate among European countries were human ambulatory consumption of antibiotics and per capita expenditure on health, meaning that the higher human ambulatory consumption of antibiotics and the lower the per capita expenditure on health, the higher the AMR. Both variables together explain 74% of AMR variation. Private expenditure on health in terms of % GDP (Gross Domestic Profit) was positively related to a higher AMR rate. In conclusion, considering antibiotic consumption as the most important factor contributing to AMR may be a deviant focus, as resistance transmission may be paramount for AMR levels. Low per capita expenditure on health, probably a surrogate of worse healthcare conditions and a high level of resistance transmission, has a strong correlation with the AMR rate. Increasing public expenditure on healthcare, to strengthen infection control structures and processes interventions, seems relevant to tackle antimicrobial resistance at the European scale.

Background: The COVID-19 pandemic poses novel challenges in antimicrobial consumption metrics and stewardship strategies. COVID-19 patients became the major cause of hospital admission during the first wave of the pandemic, often leading to an antimicrobial prescription upon admission or treatment for superinfections. The aim of this study was to understand how antimicrobial consumption was impacted at the beginning of the pandemic in a tertiary care hospital, a reference center for COVID-19. Materials and Methods: A retrospective before-and-after study was done. Descriptive statistics of discharges, patient-days, and antimicrobial use indicators (defined daily doses (DDD)/100 discharges, DDD/100 patient-days) for various groups were calculated for the first three months of the pandemic (March, April, and May 2020) as a quarterly value, and for each year in 2011–2019, and their annual percentage changes were used to estimate 95% confidence intervals. The indicators were compared to patient type (medical/surgical), type of admission (urgent/elective), and age groups using Spearman’s correlation coefficient. Results: Statistically significant increases occurred in 2020 for total antibacterials, macrolides, cephalosporins, amoxicillin/clavulanic acid, carbapenems, meropenem, and third-generation cephalosporins, while a reduction was seen in cefazolin/cefoxitin. A correlation was found between antibacterial consumption and patient or admission type. In 2020, unlike in pre-pandemic years, there was a different impact in DDD/100 discharges and DDD/100 patient-days due to increased lengths-of-stay and longer antimicrobial therapy. Conclusions: The COVID-19 pandemic led to an increase in antimicrobial consumption with a different impact in DDD/100 discharges and DDD/100 patient-days. This highlights the need to use both indicators simultaneously to better understand the causes of antimicrobial consumption variation and improve the design of effective antimicrobial stewardship interventions.