Timeliness of Broad-Spectrum Antibiotic De-escalation and Mortality in Emergency Department Patients With Sepsis: A Retrospective Hierarchical Logistic Regression Study
Division
Far West
Hospital
Los Robles Hospital and Medical Center
Document Type
Manuscript
Publication Date
8-22-2025
Keywords
antibiotic de-escalation, broad-spectrum antibiotics, mortality after sepsis, narrow-spectrum antibiotics, severe sepsis
Disciplines
Bacterial Infections and Mycoses | Emergency Medicine | Medicine and Health Sciences | Pathological Conditions, Signs and Symptoms | Therapeutics
Abstract
Background Early initiation of broad-spectrum antibiotics (BSA) is a cornerstone of sepsis management; however, prolonged use without timely de-escalation to narrow-spectrum antibiotics (NSA) can contribute to adverse outcomes, including higher mortality and antimicrobial resistance. While intensive care unit (ICU) studies support the benefits of antibiotic de-escalation, its timing and impact in emergency department (ED) settings remain underexplored. Objective To examine the association between delayed de-escalation from BSA to NSA and in-hospital mortality among ED patients with sepsis, adjusting for the Charlson Comorbidity Index (CCI), age, and sex. Methods We conducted a retrospective multicenter cohort study of adult ED patients (≥18 years) hospitalized with sepsis between January 2021 and December 2023. All received empiric BSA followed by de-escalation to NSA. De-escalation timing was measured in 6-hour intervals starting 61 minutes after BSA initiation. Hierarchical binary logistic regression assessed associations with in-hospital mortality, controlling for CCI, age, and sex. Results Among 2,906 eligible patients, delayed de-escalation was independently associated with increased mortality (OR per 6-hour delay = 1.006; 95% CI, 1.001-1.012;
Publisher or Conference
Cureus
Recommended Citation
Farsani A, Thandi P, Htway Z. Timeliness of Broad-Spectrum Antibiotic De-escalation and Mortality in Emergency Department Patients With Sepsis: A Retrospective Hierarchical Logistic Regression Study. Cureus. 2025;17(8):e90728. Published 2025 Aug 22. doi:10.7759/cureus.90728