IntroductionPatients with diabetes mellitus admitted to hospital with COVID-19 have poorer outcomes. However, the drivers of poorer outcomes are not fully elucidated. We performed detailed characterization of patients with COVID-19 to determine the clinical and biochemical factors that may be drivers of poorer outcomes.Research design and methodsThis is a retrospective cohort study of 889 consecutive inpatients diagnosed with COVID-19 between March 9 and April 22, 2020 in a large London National Health Service Trust. Unbiased multivariate logistic regression analysis was performed to determine variables that were independently and significantly associated with increased risk of death and/or intensive care unit (ICU) admission within 30 days of COVID-19 diagnosis.Results62% of patients in our cohort were of non-white ethnic background and the prevalence of diabetes was 38%. 323 (36%) patients met the primary outcome of death/admission to the ICU within 30 days of COVID-19 diagnosis. Male gender, lower platelet count, advancing age and higher Clinical Frailty Scale (CFS) score (but not diabetes) independently predicted poor outcomes on multivariate analysis. Antiplatelet medication was associated with a lower risk of death/ICU admission. Factors that were significantly and independently associated with poorer outcomes in patients with diabetes were coexisting ischemic heart disease, increasing age and lower platelet count.ConclusionsIn this large study of a diverse patient population, comorbidity (ie, diabetes with ischemic heart disease; increasing CFS score in older patients) was a major determinant of poor outcomes with COVID-19. Antiplatelet medication should be evaluated in randomized clinical trials among high-risk patient groups.
Patients with diabetes mellitus admitted to hospital with COVID-19 caused by infection with the novel coronavirus (SARS-CoV-2) have poorer outcomes. However, the drivers for this are not fully elucidated. We performed a retrospective cohort study, including detailed pre-hospital and presenting clinical and biochemical factors of 889 patients diagnosed with COVID-19 in three constituent hospitals of a large London NHS Trust. 62% of patients with severe COVID-19 were of non-White ethnic backgrounds and the prevalence of diabetes was 38%. 323 (36%) patients met the primary outcome of death or admission to the intensive care unit (ICU) within 30 days of diagnosis. Male gender, advancing age and the Clinical Frailty Scale, an established measure of multimorbidity, independently predicted poor outcomes on multivariate analysis. Diabetes did not confer an independent risk for adverse outcomes in COVID-19, although patients with diabetes and ischaemic heart disease were at particular risk. Additional risk factors which significantly and independently associated with poorer outcomes in patients with diabetes were age, male gender and lower platelet count. Antiplatelet medication was associated with a lower risk of death/ICU admission and should be evaluated in randomised clinical trials amongst high risk patient groups.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.