• J Emerg Med · Nov 2023

    Discharge Against Medical Advice After Hospitalization for Sepsis: Predictors, 30-Day Readmissions, and Outcomes.

    • Juan Ni, Zhen Lin, Qiqi Wu, Guannan Wu, Chen Chen, Binhai Pan, Beilei Zhao, Hedong Han, and Qin Wang.
    • Department of Respiratory and Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
    • J Emerg Med. 2023 Nov 1; 65 (5): e383e392e383-e392.

    BackgroundSepsis is a leading cause of death worldwide. However, little has been known concerning the status of discharge against medical advice (DAMA) in sepsis patients.ObjectiveTo identify factors associated with DAMA, evaluate the association of DAMA with 30-day unplanned readmission and readmitted outcomes after sepsis hospitalization.MethodsUsing the National Readmission Database, we identified sepsis patients who discharged routinely or DAMA in 2017. Multivariable models were used to identify factors related to DAMA, evaluate the association between DAMA and readmission, and elucidate the relationship between DAMA and outcomes in patients readmitted within 30 days.ResultsAmong 1,012,650 sepsis cases, patients with DAMA accounted for 3.88% (n = 39,308). The unplanned 30-day readmission rates in patients who discharged home and DAMA were 13.08% and 27.21%, respectively. Predictors of DAMA in sepsis included Medicaid, diabetes, smoking, drug abuse, alcohol abuse, and psychoses. DAMA was statistically significantly associated with 30-day (odds ratio [OR] 2.18, 95% confidence interval [CI] 2.09-2.28), 60-day (OR 1.98, 95% CI 1.90-2.06), and 90-day (OR 1.88, 95% CI 1.81-1.96) readmission. DAMA is also associated with higher mortality in patients readmitted within 30 days (OR 1.38, 95% CI 1.17-1.63), whereas there were no statistically significant differences in length of stay and costs between patients who discharged home or DAMA.ConclusionsDAMA occurs in nearly 3.88% of sepsis patients and is linked to higher readmission and mortality. Those at high risk of DAMA should be early identified to motivate intervention to avoid premature discharges and associated adverse outcomes.Copyright © 2023 Elsevier Inc. All rights reserved.

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