Personalized Dose Optimization of Amikacin Guided by Pharmacokinetic Modeling Software in Patients With Septic Shock
NCT ID: NCT04178148
Last Updated: 2025-12-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
180 participants
INTERVENTIONAL
2019-11-25
2022-12-02
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
NONE
Study Groups
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BestDose
Therapeutic drug optimization of amikacin using the BestDose software algorithm
Amikacin dose optimization
Therapeutic drug optimization of amikacin using the BestDose software algorithm
Control
No interventions assigned to this group
Interventions
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Amikacin dose optimization
Therapeutic drug optimization of amikacin using the BestDose software algorithm
Eligibility Criteria
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Inclusion Criteria
* The patient must be a member or beneficiary of a health insurance plan
* The patient has septic shock according to the SEPSIS-3 definition in the 24 hours preceding inclusion, regardless of the source of infection
* Patient having already received a first dose of amikacin in the 22 preceding hours
* Patient with an expectation of receiving at least 2 doses of amikacin
* Patient with available amikacin therapeutic drug monitoring
Exclusion Criteria
* The patient is pregnant, parturient or breastfeeding
* Patient has a contra-indication or an allergy to treatment by amikacin
* Patient is not expected to survive beyond 48 hours
18 Years
ALL
No
Sponsors
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Centre Hospitalier Universitaire de Nīmes
OTHER
Responsible Party
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Principal Investigators
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Claire Roger
Role: PRINCIPAL_INVESTIGATOR
CHU Nimes
Locations
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CHU de Nimes
Nîmes, , France
Countries
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References
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Garbez N, Mbatchi LC, Louart G, Wallis SC, Muller L, Lipman J, Roberts JA, Lefrant JY, Roger C. Micafungin Population PK Analysis in Healthy and Septic Pigs: Can the Septic Porcine Model Predict the Micafungin PK in Septic Patients? Pharm Res. 2021 Nov;38(11):1863-1871. doi: 10.1007/s11095-021-03137-2. Epub 2021 Nov 29.
Other Identifiers
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NIMAO/2018-02/CR-01
Identifier Type: -
Identifier Source: org_study_id
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