2016
DOI: 10.1007/s40262-016-0428-x
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Amikacin in Critically Ill Patients: A Review of Population Pharmacokinetic Studies

Abstract: This review highlights the different population pharmacokinetic models for amikacin developed in critically ill patients over the past decades and proposes relevant information for clinicians and researchers. To optimize amikacin dosage, this review points out the relevant covariates according to the target population. In a population of critically ill patients, dose optimization mainly depends on creatinine clearance and total body weight. New pharmacokinetic population studies could be considered, with new c… Show more

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Cited by 59 publications
(49 citation statements)
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“…Amikacin has been used for many years to treat severe infections in critically ill patients . We reviewed one case‐control study that compared an ECMO group with matched critically ill patients not on ECMO (Table ).…”
Section: Resultsmentioning
confidence: 99%
“…Amikacin has been used for many years to treat severe infections in critically ill patients . We reviewed one case‐control study that compared an ECMO group with matched critically ill patients not on ECMO (Table ).…”
Section: Resultsmentioning
confidence: 99%
“…As a result, septic patients have greater Vd values of hydrophilic drugs [10,11]. This altered Vd has been well-documented for amikacin and is associated with albumin plasma concentration, extracellular water body ratio, oxygen ratio, sepsis, cholecystitis, cirrhosis, as well as total body weight [34,35].…”
Section: Discussionmentioning
confidence: 99%
“…TDM of amikacin aims to minimize risks of toxicity and maximize therapeutic efficacy . Since only a limited number of blood concentrations can be ethically obtained from hospitalized pediatric patients, the PopPK approach using nonlinear mixed‐effect modeling to obtain PK parameters is an ideal tool for PK analysis in this population …”
Section: Discussionmentioning
confidence: 99%
“…According to previous pharmacological studies and our own data, a one‐compartment PK model with first‐order elimination adequately described amikacin PK . Use of more complex models (eg two‐compartment models) did not improve the data fit and was therefore not further pursued.…”
Section: Methodsmentioning
confidence: 98%