ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

ISARIC Clinical Characterization Group, Esteban Garcia-Gallo, Laura Merson, Kalynn Kennon, Sadie Kelly, Barbara Wanjiru Citarella, Daniel Vidali Fryer, Sally Shrapnel, James Lee, Sara Duque, Yuli V. Fuentes, Valeria Balan, Sue Smith, Jia Wei, Bronner P. Gonçalves, Clark D. Russell, Louise Sigfrid, Andrew Dagens, Piero L. Olliaro, Joaquin Baruch, Christiana Kartsonaki, Jake Dunning, Amanda Rojek, Aasiyah Rashan, Abi Beane, Srinivas Murthy & Luis Felipe Reyes Nature Scientific Data DOI 10.1038/s41597-022-01534-9

Abstract: 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 comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use.

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Low flow rate alters haemostatic parameters in an ex-vivo extracorporeal membrane oxygenation circuit

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Nutrition adequacy, gastrointestinal, and hepatic function during extracorporeal membrane oxygenation in critically ill adults: A retrospective observational study.