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E. Tallon1, O. Ebekozien2,3, J. Sanchez4, V. Staggs5,6, D. Ferro5, C.-R. Shyu1, M. Clements5
1University of Missouri-Columbia, Institute for Data Science and Informatics, Columbia, USA, 2T1D Exchange, Boston, USA, 3University of Mississippi, School of Population Health, Jackson, USA, 4University of Miami, Miami, USA, 5Children’s Mercy Hospital, Kansas City, USA, 6University of Missouri-Kansas City, Kansas City, USA
Introduction: Numerous studies have investigated the impact and increased severity of coronavirus disease 2019 (COVID-19) in adult patients with diabetes. However, findings from older adult patients cannot be generalized to affected children and young adults.
Objectives: In this nationwide retrospective cohort study, we examine whether race/ethnicity and other factors are associated with hospitalization and diabetic ketoacidosis (DKA) in pediatric and young adult patients with type 1 diabetes (T1D) and COVID-19 infection.
Methods: The de-identified COVID-19 patient dataset from the December 2020 release of Cerner Real-World DataTM contains longitudinal data for patients who received care at 87 US-based health systems between December 2019 and September 2020. We used a validated algorithm to identify patients with T1D. Analysis was limited to patients <27 years old with a positive laboratory test or billing code consistent with COVID-19 infection. Generalized linear mixed models were used to examine race/ethnicity, gender, HbA1c, body mass index (BMI), mean blood glucose, age, payer, and Elixhauser comorbidity score (ECS) as correlates of hospital admission and DKA.
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