Skip to content

Using artificial intelligence to optimize antibiotic dosing in the treatment of sepsis

Using artificial intelligence to optimize antibiotic dosing in the treatment of sepsis - KI.SEP

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00032970
Enrollment
200
Registered
2023-11-02
Start date
2024-01-16
Completion date
Unknown
Last updated
2026-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

A41.9

Interventions

Group 1: Adult, critically ill patients with sepsis (as defined by sepsis 3) treated in the ICU during the enrollment period 01/2024 - 11/2025 and receiving piperacillin/tazobactam or meropenem as an

Sponsors

Universtitätsklinikum Knappschaftskrankenhaus Bochum
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: - Intensive care treatment - Inclusion within 72 h after diagnosis of sepsis (according to sepsis-3-definition) - Inclusion within 24 h after initiation of treatment with piperacillin/tazobactam or meropenem - Antibiotic treatment with meropenem or piperacillin/tazobactam.

Exclusion criteria

Exclusion criteria: - Refusal of study participation by patient/authorized representative - Pregnancyandbreastfeeding - Manifest anemia with hemoglobin value <8g/dl

Design outcomes

Primary

MeasureTime frame
Predict antibiotic serum concentration (ASC) of piperacillin/tazobactam or meropenem on day 1 therapy.

Secondary

MeasureTime frame
- Prediction of ASK of piperacillin/tazobactam or meropenem during the course of therapy on days 2,3,4,5,6,7 and 8. - Influence of ASC on 30-day mortality. - Influence of ASC on the course of the SOFA score (Delta-SOFA) - Occurrence of antibiotic resistance under therapy - Influence of ASC on the incidence of acute renal renal failure - Influence of ASC on the incidence of acute liver injury

Countries

Germany

Contacts

Public ContactTim Rahmel

Universitätsklinikum Knappschaftskrankenhaus Bochum

Tim.Rahmel@ruhr-uni-bochum.de+49 234 299 80025

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Apr 4, 2026