Achievement of therapeutic antibiotic exposures using Bayesian dosing software in critically unwell children and adults with sepsis
An erratum to this article was published (Intensive Care Med, May 2024 ↗)
Authors' conclusion
Dosing software may reduce the time to achieve target antibiotic exposures.
Study context
- Population
- Children and adults with sepsis in 3 adult intensive care unit (ICUs) and 1 PICU
- Participants
- 175 antibiotic courses
- Comparison
- ID-ODS™ Bayesian dosing software vs pre-intervention dosing
- Phase 1n = 123reference
- Phase 2n = 52
- Primary endpoint
- Time to target antibiotic exposure
Methodological detailsmulticentre, pre-post design
- Multicentre
- Pre-post design
Primary result
As reported in the abstract
Time to achieve target exposures, all patients
P = 0.45
Further findings
Time to target exposure (subgroup: courses failing target within 24 h; 61 courses, 54 participants)
P < 0.01
| Outcome | HR (95% CI) | P value | |
|---|---|---|---|
| Subtherapeutic antibiotic exposure (same subgroup) · 96 h | 0.02 (0.01–0.05) | P < 0.01 | |
| 0.050.21520Hazard ratio (log scale) |
- Time to target exposure (subgroup: courses failing target within 24 h; 61 courses, 54 participants): subgroup n = 36 in Phase 1, n = 18 in Phase 2
In-hospital mortality
- No difference observed
Original publication
Achievement of therapeutic antibiotic exposures using Bayesian dosing software in critically unwell children and adults with sepsis. Intensive Care Med. Published 13 March 2024. doi:10. 1007/ s00134-024-07353-3
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