0000000001111650
AUTHOR
Thomas Maitre
Are moxifloxacin and levofloxacin equally effective to treat XDR tuberculosis?
International audience; Background: Moxifloxacin retains partial activity against some fluoroquinolone-resistant mutants of Mycobacterium tuberculosis. Levofloxacin is presumed to be as active as moxifloxacin against drug-susceptible tuberculosis and to have a better safety profile.Objectives: To compare the in vivo activity of levofloxacin and moxifloxacin against M. tuberculosis strains with various levels of fluoroquinolone resistance.Methods: BALB/c mice were intravenously infected with 106M. tuberculosis H37Rv and three isogenic mutants: GyrA A90V, GyrB E540A and GyrB A543V. Treatment with 50 or 100 mg/kg levofloxacin and 60 or 66 mg/kg moxifloxacin was given orally every 6 h, for 4 we…
Emergence des pathologies pulmonaires non infectieuses chez les patients vivant avec le virus de l’immunodéficience humaine (VIH) : étude sur la base nationale des données du PMSI de 2007 à 2013
Introduction Une modification de l’epidemiologie des pathologies respiratoires a ete constatee chez les patients infectes par le VIH depuis la mise en place des therapies antiretrovirales. Les objectifs de notre travail sont de determiner la prevalence francaise des pathologies respiratoires chez les personnes infectees par le VIH et d’evaluer le risque que represente l’infection par le VIH dans la survenue de pathologies respiratoires non infectieuses. Methodes A partir de la base nationale de donnees du Programme de medicalisation des systemes d’information (PMSI), nous avons calcule la prevalence hospitaliere d’un panel de pathologies respiratoires chez les patients infectes par le VIH h…
ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing como…
Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study
Invasive mechanical ventilation; COVID-19; Critical care Ventilación mecánica invasiva; COVID-19; Cuidado crítico Ventilació mecànica invasiva; COVID-19; Atenció crítica Background Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods This is a multin…
Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19
Abstract Background We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admiss…
Association of country income level with the characteristics and outcomes of critically ill patients hospitalized with acute kidney injury and COVID-19
Introduction Acute kidney injury (AKI) has been identified as one of the most common and significant problems in hospitalized patients with COVID-19. However, studies examining the relationship between COVID-19 and AKI in low- and low-middle income countries (LLMIC) are lacking. Given that AKI is known to carry a higher mortality rate in these countries, it is important to understand differences in this population. Methods This prospective, observational study examines the AKI incidence and characteristics of 32,210 patients with COVID-19 from 49 countries across all income levels who were admitted to an intensive care unit during their hospital stay. Results Among patients with COVID-19 ad…
The value of open-source clinical science in pandemic response
International audience