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https://www.selleckchem.com/products/dapansutrile.html The COVID-19 outbreak challenges the Spanish health system since March 2020. Some available therapies (antimalarials, antivirals, biological agents) were grounded on clinical case observations or basic science data. The aim of this study is to describe the characteristics and impact of different therapies on clinical outcomes in a cohort of severe COVID-19 patients. In this retrospective, single-center, observational study, we collected sequential data on adult patients admitted to Hospital Universitario Quironsalud Madrid. Eligible patients should have a microbiological (positive test on RT-PCR assay from a nasal swab) or an epidemiological diagnosis of severe COVID-19. Demographic, baseline comorbidities, laboratory data, clinical outcomes, and treatments were compared between survivors and non-survivors. We carried out univariate and multivariate logistic regression models to assess potential risk factors for in-hospital mortality. From March 10th to April 15th, 2020, 607 patients were included. Medir findings might entail relevant implications for the therapy of this disease and could boost the design of new clinical trials among subjects affected by severe COVID-19. Hospital Universitario Quironsalud Madrid. Own fundings for COVID-19 research. Hospital Universitario Quironsalud Madrid. Own fundings for COVID-19 research.Non-attendance of healthcare appointments impact individual health outcomes and the capacity and financial stability of clinics. While non-attendance of appointments has been associated with a variety of factors, interventions to increase attendance have had mixed success. The most widely used intervention, reminder systems like phone calls or text messages, generally improves attendance rates but is insufficient for many clinics as a sole intervention. This study of underresourced patients who did not attend appointments at two clinics for uninsured individuals describes the multifactorial,

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