| Autor: |
Luca F. Roggeveen, Tingjie Guo, Lucas M. Fleuren, Ronald Driessen, Patrick Thoral, Reinier M. van Hest, Ron A. A. Mathot, Eleonora L. Swart, Harm-Jan de Grooth, Bas van den Bogaard, Armand R. J. Girbes, Rob J. Bosman, Paul W. G. Elbers |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Critical Care, Vol 26, Iss 1, Pp 1-11 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1364-8535 |
| DOI: |
10.1186/s13054-022-04098-7 |
| Popis: |
Abstract Background Adequate antibiotic dosing may improve outcomes in critically ill patients but is challenging due to altered and variable pharmacokinetics. To address this challenge, AutoKinetics was developed, a decision support system for bedside, real-time, data-driven and personalised antibiotic dosing. This study evaluates the feasibility, safety and efficacy of its clinical implementation. Methods In this two-centre randomised clinical trial, critically ill patients with sepsis or septic shock were randomised to AutoKinetics dosing or standard dosing for four antibiotics: vancomycin, ciprofloxacin, meropenem, and ceftriaxone. Adult patients with a confirmed or suspected infection and either lactate > 2 mmol/L or vasopressor requirement were eligible for inclusion. The primary outcome was pharmacokinetic target attainment in the first 24 h after randomisation. Clinical endpoints included mortality, ICU length of stay and incidence of acute kidney injury. Results After inclusion of 252 patients, the study was stopped early due to the COVID-19 pandemic. In the ciprofloxacin intervention group, the primary outcome was obtained in 69% compared to 3% in the control group (OR 62.5, CI 11.4–1173.78, p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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