https://www.socictopen.socict.org/files/original/b914981c8a16fcfee2f16b36d85fe50d.pdf f697004bfb505bc6157a29b260b39c5d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Clinical Characteristics and Predictors of Mortality in Patients with COVID-19 Infection Outside Intensive Care Creator An entity primarily responsible for making the resource Moledina SM, Maini AA, Gargan A, Harland W, Jenney H, Phillips G, Thomas K, Chauhan D, Fertleman M Description An account of the resource Saadiq M Moledina,* Alexander A Maini,* Alice Gargan, William Harland, Heloise Jenney, Georgina Phillips, Kate Thomas, Devkishan Chauhan, Michael Fertleman From the Cutrale Perioperative & Ageing Group, St Mary’s Hospital, Imperial College London, London, UK*These authors contributed equally to this workCorrespondence: Saadiq M MoledinaSt Mary’s Hospital, Imperial College London, Praed Street, Paddington, London W2 1NY, UKTel +44 02033126666Email smoledina1@doctors.org.ukBackground/Introduction: The coronavirus disease 2019 (COVID-19) pandemic has affected all aspects of inpatient hospital medicine with patients admitted from level 1 (general medical wards) to level 3 (intensive care). Often, there are subtle physiological differences in these cohorts of patients. In particular, in intensive care, patients tend to be younger and have increased disease severity. Data, to date, has combined outcomes from medical and intensive care cohorts, or looked exclusively at intensive care. We looked solely at the level 1 (medical) cohort to identify their clinical characteristics and predictors of outcome.Patients and Methods: This was a retrospective study of adult patients admitted to a central London teaching hospital with a diagnosis of COVID-19 from 23rd March to 7th April 2020 identified from the hospital electronic database. Any patients who required level 2 or 3 care were excluded.Results: A total of 229 patients were included for analysis. Increased age and frailty scores were associated with increased 30-day mortality. Reduced renal function and elevated troponin blood levels are also associated with poor outcome. Baseline observations showed that increased oxygen requirement was predictive for mortality. A trend of increased mortality with lower diastolic blood pressure was noted. Lymphopenia was not shown to be related to mortality.Conclusion: Urea and creatinine are the best predictors of mortality in the level 1 cohort. Unlike previous intensive care data, lymphopenia is not predictive of mortality. We suggest that these factors be considered when prognosticating and for resource allocation for the treatment and escalation of care for patients with COVID-19 infection.Keywords: COVID-19, mortality, frailty, ICU, renal dysfunction, lymphopenia Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource mortality, ICU, covid-19, Lymphopenia, Frailty, Renal dysfunction Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine (General)