9374 Gender Disparities In Endocrinology And Metabolism-Related Readmissions Following Covid-19 Hospitalization

Abstract Disclosure: N. Krueger: None. H. Alfar: None. A. Shaka: None. M. Seares: None. L. Lanka: None. H. Shaka: None. Gender Disparities in Endocrinology and Metabolism-related Readmissions Following COVID-19 Hospitalization Authors: Noelle Krueger, Jennifer Marie Seares, Hadeel Alfar, Lavanya Lanka, Abdultawab Shaka, Hafeez Shaka. Introduction: Coronavirus disease 2019 (COVID-19) is a viral disease responsible for the devastating pandemic that began at the end of 2019. It has been associated with an increased risk of a variety of endocrine disorders. In this study, we identified the causes, predictors, and gender disparities of 30-day and 90-day endocrinology and metabolism readmissions (EMR) after COVID-19 related hospitalizations utilizing National Readmissions Database (NRD) 2020. Methods: We utilized the National Readmission Database from 2020 to identify hospitalized adults with a principal diagnosis of COVID-19 infection. We included subjects who were readmitted within 30 days and 90 days after index admission. We excluded subjects with elective and traumatic admissions. We utilized a multivariate Cox regression model to identify independent predictors of readmission. Results: During the study period, there were 1,024,492 index hospitalizations with a primary diagnosis of COVID-19 infection in the 2020 NRD database, 644,903 (62.9%) were included for 30-day readmission analysis, and 418,122 (40.8%) were included for 90-day readmission analysis. Of these, 2496 (0.3%) and 2929 (0.7%) were EMR for 30 and 90 days respectively. The most common causes of EMR were hypo-osmolarity with electrolyte dysfunction (41.7%), Type 2 DM with complications (32.9%) and Type 1 DM with complications (6.5%). Cox regression analysis adjusting for confounders revealed that female sex was associated with higher odds of 30-day (aHR=1.21; 95% CI 1.079-1.364; p=0.001) and 90-day (aHR=1.13; 95% CI 1.028-1.258; p=0.001) EMR cases. Being discharged against medical advice was also strongly predictive of readmission in 30 days (aHR=2.06; 95% CI 1.412-2.999; p<0.001) Conclusion: Our study demonstrates that female gender and being discharged against medical advice carry higher odds of 30-day and 90-day EMR. Identifying risk factors and common causes of readmission may assist with lowering the burden of endocrinologic disorders in patients with COVID-19 infection. Presentation: 6/2/2024