Source record
TREWS sepsis early warning on the inpatient ward
El texto se muestra en inglés hasta que exista una traducción.
The source is Adams and colleagues, Nature Medicine, 21 July 2022, a prospective evaluation of TREWS across five hospitals. It reports that, among patients with sepsis identified before antibiotics, confirmation of the alert within 3 hours was associated with an adjusted absolute mortality difference of 3.3 percentage points (relative 18.7%) versus alerts not confirmed in that window. A companion paper reported a 1.85-hour shorter median time to the first antibiotic order for the same comparison. These are associations with how the alert was used, not a randomized trial.
- Source date
- 21 jul 2022 · Año 2022
- Evidence label
- Publicado
- Source type
- Artículo
Citation
Adams et al., Nature Medicine
Adams et al. Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis. Nature Medicine, 21 July 2022. https://www.nature.com/articles/s41591-022-01894-0
Key public facts
- TREWS was studied prospectively in emergency departments and wards at two academic and three community hospitals.
- A clinician confirms or dismisses the alert. The system does not itself diagnose sepsis.
- Among patients with sepsis identified before antibiotics, confirmation within 3 hours was associated with an adjusted absolute mortality difference of 3.3 percentage points (relative 18.7%) versus alerts not confirmed in that window.
- A companion paper reported a 1.85-hour shorter median time to the first antibiotic order for that same comparison.
- The paper reports associations with how the alert was used. It is not a randomized trial of the model.
Ficha para educación y lectura de mercado. No es consejo médico ni un aval.