RESUMO
There is limited information describing features and outcomes of patients requiring hospitalization for COVID19 disease and still no treatments have clearly demonstrated efficacy. Demographics and clinical variables on admission, as well as laboratory markers and therapeutic interventions were extracted from electronic Clinical Records (eCR) in 4712 SARS-CoV2 infected patients attending 4 public Hospitals in Madrid. Patients were stratified according to age and stage of severity. Using multivariate logistic regression analysis, cut-off points that best discriminated mortality were obtained for each of the studied variables. Principal components analysis and a neural network (NN) algorithm were applied. A high mortality incidence associated to age >70, comorbidities (hypertension, neurological disorders and diabetes), altered vitals such as fever, heart rhythm disturbances or elevated systolic blood pressure, and alterations in several laboratory tests. Remarkably, analysis of therapeutic options either taken individually or in combination drew a universal relationship between the use of Cyclosporine A and better outcomes as also a benefit of tocilizumab and/or corticosteroids in critically ill patients. We present a large Spanish population-based study addressing factors influencing survival in current SARS CoV2 pandemic, with particular emphasis on the effectivity of treatments. In addition, we have generated an NN capable of identifying severity predictors of SARS CoV2. A rapid extraction and management of data protocol from eCR and artificial intelligence in-house implementations allowed us to perform almost real time monitoring of the outbreak evolution.
RESUMO
Influenza vaccination recommendations are traditionally met with low compliance by healthcare workers (HCWs). The aim of this study is to analyze influenza vaccination among HCWs following a vaccination strategy characterized by an increased effort to maximize the hospital vaccination rate. For this, 2009-2010 seasonal and pandemic influenza vaccination rates among 2739 HCWs at a tertiary university hospital were evaluated. The seasonal influenza vaccination rate was 26.7% (48.3% increase vs. 2008-2009, p=0.0000), and 14.8% in the case of pandemic influenza. HCWs with direct patient contact showed similar seasonal (25.7%) and pandemic (15.4%) influenza vaccination rates compared to the overall rates. Physician vaccination displayed the highest rate, showing significant differences vs. total rate (38.3%, p=0.0007 for seasonal, and 32.2%, p=0.0000 for pandemic influenza). The areas in which the vaccination strategy was most active reflected a significant increase (32.6%, p=0.0056 for seasonal, and 25.2%, p=0.0000 for pandemic influenza). It therefore appears that more active campaigns might increase influenza vaccination among HCWs.
