Influence of Renal Replacement Modalities on Amikacin Population Pharmacokinetics in Critically Ill Patients on Continuous Renal Replacement Therapy
Identifieur interne : 001C73 ( Main/Exploration ); précédent : 001C72; suivant : 001C74Influence of Renal Replacement Modalities on Amikacin Population Pharmacokinetics in Critically Ill Patients on Continuous Renal Replacement Therapy
Auteurs : Claire Roger [France, Australie] ; Steven C. Wallis [Australie] ; Laurent Muller [France] ; Gilbert Saissi [France] ; Jeffrey Lipman [Australie] ; Jean-Yves Lefrant [France] ; Jason A. Roberts [Australie]Source :
- Antimicrobial Agents and Chemotherapy [ 0066-4804 ] ; 2016.
Descripteurs français
- KwdFr :
- Amikacine (pharmacocinétique), Amikacine (usage thérapeutique), Antibactériens (pharmacocinétique), Antibactériens (usage thérapeutique), Clairance métabolique (), Femelle, Humains, Hémodiafiltration (), Hémofiltration (), Maladie grave, Mâle, Méthode de Monte-Carlo, Rein (métabolisme), Sujet âgé, Traitement substitutif de l'insuffisance rénale ().
- MESH :
- métabolisme : Rein.
- pharmacocinétique : Amikacine, Antibactériens.
- usage thérapeutique : Amikacine, Antibactériens.
- Clairance métabolique, Femelle, Humains, Hémodiafiltration, Hémofiltration, Maladie grave, Mâle, Méthode de Monte-Carlo, Sujet âgé, Traitement substitutif de l'insuffisance rénale.
English descriptors
- KwdEn :
- Aged, Amikacin (pharmacokinetics), Amikacin (therapeutic use), Anti-Bacterial Agents (pharmacokinetics), Anti-Bacterial Agents (therapeutic use), Critical Illness, Female, Hemodiafiltration (methods), Hemofiltration (methods), Humans, Kidney (metabolism), Male, Metabolic Clearance Rate (drug effects), Monte Carlo Method, Renal Replacement Therapy (methods).
- MESH :
- chemical , pharmacokinetics : Amikacin, Anti-Bacterial Agents.
- chemical , therapeutic use : Amikacin, Anti-Bacterial Agents.
- drug effects : Metabolic Clearance Rate.
- metabolism : Kidney.
- methods : Hemodiafiltration, Hemofiltration, Renal Replacement Therapy.
- Aged, Critical Illness, Female, Humans, Male, Monte Carlo Method.
Abstract
The objective of this study was to describe amikacin pharmacokinetics (PK) in critically ill patients receiving equal doses (30 ml/kg of body weight/h) of continuous venovenous hemofiltration (CVVH) and continuous venovenous hemodiafiltration (CVVHDF). Patients receiving amikacin and undergoing CVVH or CVVHDF were eligible. Population pharmacokinetic analysis and Monte Carlo simulation were undertaken using the Pmetrics software package for R. Sixteen patients (9 undergoing CVVH, 11 undergoing CVVHDF) and 20 sampling intervals were analyzed. A two-compartment linear model best described the data. Patient weight was the only covariate that was associated with drug clearance. The mean ± standard deviation parameter estimates were 25.2 ± 17.3 liters for the central volume, 0.89 ± 1.17 h−1 for the rate constant for the drug distribution from the central to the peripheral compartment, 2.38 ± 6.60 h−1 for the rate constant for the drug distribution from the peripheral to the central compartment, 4.45 ± 2.35 liters/h for hemodiafiltration clearance, and 4.69 ± 2.42 liters/h for hemofiltration clearance. Dosing simulations for amikacin supported the use of high dosing regimens (≥25 mg/kg) and extended intervals (36 to 48 h) for most patients when considering PK/pharmacodynamic (PD) targets of a maximum concentration in plasma (
Url:
DOI: 10.1128/AAC.00828-16
PubMed: 27270279
PubMed Central: 4958154
Affiliations:
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Le document en format XML
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<term>Amikacin (pharmacokinetics)</term>
<term>Amikacin (therapeutic use)</term>
<term>Anti-Bacterial Agents (pharmacokinetics)</term>
<term>Anti-Bacterial Agents (therapeutic use)</term>
<term>Critical Illness</term>
<term>Female</term>
<term>Hemodiafiltration (methods)</term>
<term>Hemofiltration (methods)</term>
<term>Humans</term>
<term>Kidney (metabolism)</term>
<term>Male</term>
<term>Metabolic Clearance Rate (drug effects)</term>
<term>Monte Carlo Method</term>
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<term>Amikacine (usage thérapeutique)</term>
<term>Antibactériens (pharmacocinétique)</term>
<term>Antibactériens (usage thérapeutique)</term>
<term>Clairance métabolique ()</term>
<term>Femelle</term>
<term>Humains</term>
<term>Hémodiafiltration ()</term>
<term>Hémofiltration ()</term>
<term>Maladie grave</term>
<term>Mâle</term>
<term>Méthode de Monte-Carlo</term>
<term>Rein (métabolisme)</term>
<term>Sujet âgé</term>
<term>Traitement substitutif de l'insuffisance rénale ()</term>
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<keywords scheme="MESH" type="chemical" qualifier="pharmacokinetics" xml:lang="en"><term>Amikacin</term>
<term>Anti-Bacterial Agents</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="therapeutic use" xml:lang="en"><term>Amikacin</term>
<term>Anti-Bacterial Agents</term>
</keywords>
<keywords scheme="MESH" qualifier="drug effects" xml:lang="en"><term>Metabolic Clearance Rate</term>
</keywords>
<keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Kidney</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Hemodiafiltration</term>
<term>Hemofiltration</term>
<term>Renal Replacement Therapy</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Rein</term>
</keywords>
<keywords scheme="MESH" qualifier="pharmacocinétique" xml:lang="fr"><term>Amikacine</term>
<term>Antibactériens</term>
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<term>Critical Illness</term>
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<keywords scheme="MESH" xml:lang="fr"><term>Clairance métabolique</term>
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<term>Hémodiafiltration</term>
<term>Hémofiltration</term>
<term>Maladie grave</term>
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<front><div type="abstract" xml:lang="en"><p>The objective of this study was to describe amikacin pharmacokinetics (PK) in critically ill patients receiving equal doses (30 ml/kg of body weight/h) of continuous venovenous hemofiltration (CVVH) and continuous venovenous hemodiafiltration (CVVHDF). Patients receiving amikacin and undergoing CVVH or CVVHDF were eligible. Population pharmacokinetic analysis and Monte Carlo simulation were undertaken using the Pmetrics software package for R. Sixteen patients (9 undergoing CVVH, 11 undergoing CVVHDF) and 20 sampling intervals were analyzed. A two-compartment linear model best described the data. Patient weight was the only covariate that was associated with drug clearance. The mean ± standard deviation parameter estimates were 25.2 ± 17.3 liters for the central volume, 0.89 ± 1.17 h<sup>−1</sup>
for the rate constant for the drug distribution from the central to the peripheral compartment, 2.38 ± 6.60 h<sup>−1</sup>
for the rate constant for the drug distribution from the peripheral to the central compartment, 4.45 ± 2.35 liters/h for hemodiafiltration clearance, and 4.69 ± 2.42 liters/h for hemofiltration clearance. Dosing simulations for amikacin supported the use of high dosing regimens (≥25 mg/kg) and extended intervals (36 to 48 h) for most patients when considering PK/pharmacodynamic (PD) targets of a maximum concentration in plasma (<italic>C</italic>
<sub>max</sub>
)/MIC ratio of ≥8 and a minimal concentration of ≤2.5 mg/liter at the end of the dosing interval. The mean clearance of amikacin was 1.8 ± 1.3 liters/h by CVVHDF and 1.3 ± 1 liters/h by CVVH. On the basis of simulations, a strategy of an extended-interval high loading dose of amikacin (25 mg/kg every 48 h) associated with therapeutic drug monitoring (TDM) should be the preferred approach for aminoglycoside treatment in critically ill patients receiving continuous renal replacement therapy (CRRT). (This study is a substudy of a trial registered at ClinicalTrials.gov under number NCT01403220.)</p>
</div>
</front>
</TEI>
<affiliations><list><country><li>Australie</li>
<li>France</li>
</country>
<region><li>Languedoc-Roussillon</li>
<li>Occitanie (région administrative)</li>
</region>
<settlement><li>Nîmes</li>
</settlement>
</list>
<tree><country name="France"><region name="Occitanie (région administrative)"><name sortKey="Roger, Claire" sort="Roger, Claire" uniqKey="Roger C" first="Claire" last="Roger">Claire Roger</name>
</region>
<name sortKey="Lefrant, Jean Yves" sort="Lefrant, Jean Yves" uniqKey="Lefrant J" first="Jean-Yves" last="Lefrant">Jean-Yves Lefrant</name>
<name sortKey="Muller, Laurent" sort="Muller, Laurent" uniqKey="Muller L" first="Laurent" last="Muller">Laurent Muller</name>
<name sortKey="Saissi, Gilbert" sort="Saissi, Gilbert" uniqKey="Saissi G" first="Gilbert" last="Saissi">Gilbert Saissi</name>
</country>
<country name="Australie"><noRegion><name sortKey="Roger, Claire" sort="Roger, Claire" uniqKey="Roger C" first="Claire" last="Roger">Claire Roger</name>
</noRegion>
<name sortKey="Lipman, Jeffrey" sort="Lipman, Jeffrey" uniqKey="Lipman J" first="Jeffrey" last="Lipman">Jeffrey Lipman</name>
<name sortKey="Lipman, Jeffrey" sort="Lipman, Jeffrey" uniqKey="Lipman J" first="Jeffrey" last="Lipman">Jeffrey Lipman</name>
<name sortKey="Lipman, Jeffrey" sort="Lipman, Jeffrey" uniqKey="Lipman J" first="Jeffrey" last="Lipman">Jeffrey Lipman</name>
<name sortKey="Roberts, Jason A" sort="Roberts, Jason A" uniqKey="Roberts J" first="Jason A." last="Roberts">Jason A. Roberts</name>
<name sortKey="Roberts, Jason A" sort="Roberts, Jason A" uniqKey="Roberts J" first="Jason A." last="Roberts">Jason A. Roberts</name>
<name sortKey="Roberts, Jason A" sort="Roberts, Jason A" uniqKey="Roberts J" first="Jason A." last="Roberts">Jason A. Roberts</name>
<name sortKey="Roberts, Jason A" sort="Roberts, Jason A" uniqKey="Roberts J" first="Jason A." last="Roberts">Jason A. Roberts</name>
<name sortKey="Wallis, Steven C" sort="Wallis, Steven C" uniqKey="Wallis S" first="Steven C." last="Wallis">Steven C. Wallis</name>
</country>
</tree>
</affiliations>
</record>
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