https://socictopen.socict.org/files/original/8b89cb6d1fcc8349af7f0aeb7a14c7bf.pdf 6b0a605b0d173e3969c308ca4584923b 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 Fasting Plasma Glucose Level Independently Predicts the Mortality of Patients with Coronavirus Disease 2019 Infection: A Multicenter, Retrospective Cohort Study Creator An entity primarily responsible for making the resource Jae-Han Jeon, Jun Sung Moon, Donghwi Park, Min Cheol Chang, Jong-Moon Hwang, Sang Gyu Kwak Description An account of the resource Background Coronavirus disease 2019 (COVID-19) has become a global pandemic, which prompts a consensus for the necessity to seek risk factors for this critical disease. Risk factors affecting mortality of the disease remain elusive. Diabetes and hyperglycemia are known to negatively affect a host’s antiviral immunity. We evaluated the relationship between a history of diabetes, fasting plasma glucose (FPG) levels and mortality among severely ill patients with COVID-19. Methods This was a retrospective cohort study that assessed 106 adult inpatients (aged ≥18 years) from two tertiary hospitals in Daegu, South Korea. The participants were transferred to tertiary hospitals because their medical condition required immediate intensive care. The demographic and laboratory data were compared between COVID-19 patients who survived and those who did not. Results Compared with the survivor group, age, and the proportions of diabetes, chronic lung disease and FPG were significantly higher in the deceased group. In the Cox proportional hazards regression model for survival analysis, FPG level and age were identified as significant predictors of mortality (P68 years and FPG of 168 mg/dL, respectively. Among those without diabetes, high FPG remained a significant predictor of mortality (P Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, mortality, covid-19, Diabetes mellitus, Blood glucose Identifier An unambiguous reference to the resource within a given context 10.3803/EnM.2020.719 Source A related resource from which the described resource is derived Endocrinology and Metabolism Publisher An entity responsible for making the resource available Academya Publishing Co. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Diseases of the endocrine glands. Clinical endocrinology