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As coronavirus disease 2019 (COVID-19) spreads across the world, the intensive care unit (ICU) community must prepare for the challenges associated with this pandemic. Providing an efficient care to the patients of the most severely affected category - intensive care unit (ICU) patients - has become one of the serious problems appearing in the COVID-19 pandemics. A typical patient's clinical portrait in ICU of COVID centers is very similar in different countries, however, the key to improve the treatment results for critically ill patients has not yet been found. Data on predictors of severe course in COVID-19 is limited. Knowledge of predictors of severe course of disease can lead to different selection of therapeutic strategy, determine the group of risk of patients for severe course of disease, and improve outcomes.
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The clinical disease (COVID-19) results in critical illness in about 5% of patients. The aim of the study is to identify predictors of the severe pneumonia caused by the SARS-CoV-2 virus, and to describe the clinical features of patients admitted to an ICU of the COVID-center of the Federal Research Clinical Center of Federal Medical & Biological Agency on the first day and in dynamics till discharge from the ICU or death.
The demographic and clinical data will be collected. Laboratory data (hemoglobin, lymphocytes, neutrophil to lymphocyte ratio, D-dimer level, IL-6, procalcitonin, glucose level, high-sensitive troponin Т, vitamin D level, signs of the presence of a secondary bacterial infection, immunogram and Instrumental data (CT-scan, Electrocardiography, echocardiography, arterial and venous ultrasound investigation) will be analysed.
This study is singlecentral observational trial.
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200 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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