Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study
Our data suggest that patients who are at low risk of developing shock and possible sepsis had similar rates of mortality in the 1-hour vs. > 1-hour and 3-hour vs. > 3-hour time to antibiotic administration groups. Thus, a more lenient time to antibiotic administration could allow for more detailed evaluations and judicious administration of antibiotics without impacting patient mortality. Patients with probable sepsis had lower mortality if antibiotics were administered within 1 h from triage, regardless of risk of shock. Additional prospective studies are required to validate these findings and guide optimal antibiotic timing in patients with suspected sepsis.
Authors
- Kai Zheng (ORCID: https://orcid.org/0000-0002-2939-0669)
- Shamim Nemati (ORCID: https://orcid.org/0000-0002-0520-4948)
- James S. Ford
- Gabriel Wardi (ORCID: https://orcid.org/0000-0002-4845-0217)
- Allison Donahue
- Aaron Boussina (ORCID: https://orcid.org/0000-0003-0944-5906)
- Atul Malhotra (ORCID: https://orcid.org/0000-0002-9509-1827)
- Xiaolei Lu (ORCID: https://orcid.org/0000-0002-0953-9219)
- Ben Gross (ORCID: https://orcid.org/0009-0008-5811-8016)
Institutions
- University of California, Irvine (US)
- University of California System (US)
- University of California San Diego (US)
Publication Details
- Journal
- Critical Care
- Published
- 2025-07-14
- DOI
- https://doi.org/10.1186/s13054-025-05493-6
- Citations
- 5
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.77
Funders
- National Science Foundation
- National Institutes of Health
- National Institute of General Medical Sciences
- National Institute of Allergy and Infectious Diseases
- U.S. National Library of Medicine