Amikacin initial dosage in patients with hypoalbuminaemia: an interactive tool based on a population pharmacokinetic approach
To characterize amikacin population pharmacokinetics in patients with hypoalbuminaemia and to develop a model-based interactive application for amikacin initial dosage. A population pharmacokinetic model was developed using a non-linear mixed-effects modelling approach (NONMEM) with amikacin concent...
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Published in | Journal of antimicrobial chemotherapy Vol. 75; no. 8; pp. 2222 - 2231 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
01.08.2020
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Online Access | Get full text |
ISSN | 0305-7453 1460-2091 1460-2091 |
DOI | 10.1093/jac/dkaa158 |
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Abstract | To characterize amikacin population pharmacokinetics in patients with hypoalbuminaemia and to develop a model-based interactive application for amikacin initial dosage.
A population pharmacokinetic model was developed using a non-linear mixed-effects modelling approach (NONMEM) with amikacin concentration-time data collected from clinical practice (75% hypoalbuminaemic patients). Goodness-of-fit plots, minimum objective function value, prediction-corrected visual predictive check, bootstrapping, precision and bias of parameter estimates were used for model evaluation. An interactive model-based simulation tool was developed in R (Shiny and R Markdown). Cmax/MIC ratio, time above MIC and AUC/MIC were used for optimizing amikacin initial dose recommendation. Probabilities of reaching targets were calculated for the dosage proposed.
A one-compartment model with first-order linear elimination best described the 873 amikacin plasma concentrations available from 294 subjects (model development and external validation groups). Estimated amikacin population pharmacokinetic parameters were CL (L/h) = 0.525 + 4.78 × (CKD-EPI/98) × (0.77 × vancomycin) and V (L) = 26.3 × (albumin/2.9)-0.51 × [1 + 0.006 × (weight - 70)], where CKD-EPI is calculated with the Chronic Kidney Disease Epidemiology Collaboration equation. AMKdose is a useful interactive model-based application for a priori optimization of amikacin dosage, using individual patient and microbiological information together with predefined pharmacokinetic/pharmacodynamic (PKPD) targets.
Serum albumin, total bodyweight, estimated glomerular filtration rate (using the CKD-EPI equation) and co-medication with vancomycin showed a significant impact on amikacin pharmacokinetics. A powerful interactive initial dose-finding tool has been developed and is freely available online. AMKdose could be useful for guiding initial amikacin dose selection before any individual pharmacokinetic information is available. |
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AbstractList | To characterize amikacin population pharmacokinetics in patients with hypoalbuminaemia and to develop a model-based interactive application for amikacin initial dosage.
A population pharmacokinetic model was developed using a non-linear mixed-effects modelling approach (NONMEM) with amikacin concentration-time data collected from clinical practice (75% hypoalbuminaemic patients). Goodness-of-fit plots, minimum objective function value, prediction-corrected visual predictive check, bootstrapping, precision and bias of parameter estimates were used for model evaluation. An interactive model-based simulation tool was developed in R (Shiny and R Markdown). Cmax/MIC ratio, time above MIC and AUC/MIC were used for optimizing amikacin initial dose recommendation. Probabilities of reaching targets were calculated for the dosage proposed.
A one-compartment model with first-order linear elimination best described the 873 amikacin plasma concentrations available from 294 subjects (model development and external validation groups). Estimated amikacin population pharmacokinetic parameters were CL (L/h) = 0.525 + 4.78 × (CKD-EPI/98) × (0.77 × vancomycin) and V (L) = 26.3 × (albumin/2.9)-0.51 × [1 + 0.006 × (weight - 70)], where CKD-EPI is calculated with the Chronic Kidney Disease Epidemiology Collaboration equation. AMKdose is a useful interactive model-based application for a priori optimization of amikacin dosage, using individual patient and microbiological information together with predefined pharmacokinetic/pharmacodynamic (PKPD) targets.
Serum albumin, total bodyweight, estimated glomerular filtration rate (using the CKD-EPI equation) and co-medication with vancomycin showed a significant impact on amikacin pharmacokinetics. A powerful interactive initial dose-finding tool has been developed and is freely available online. AMKdose could be useful for guiding initial amikacin dose selection before any individual pharmacokinetic information is available. To characterize amikacin population pharmacokinetics in patients with hypoalbuminaemia and to develop a model-based interactive application for amikacin initial dosage.OBJECTIVESTo characterize amikacin population pharmacokinetics in patients with hypoalbuminaemia and to develop a model-based interactive application for amikacin initial dosage.A population pharmacokinetic model was developed using a non-linear mixed-effects modelling approach (NONMEM) with amikacin concentration-time data collected from clinical practice (75% hypoalbuminaemic patients). Goodness-of-fit plots, minimum objective function value, prediction-corrected visual predictive check, bootstrapping, precision and bias of parameter estimates were used for model evaluation. An interactive model-based simulation tool was developed in R (Shiny and R Markdown). Cmax/MIC ratio, time above MIC and AUC/MIC were used for optimizing amikacin initial dose recommendation. Probabilities of reaching targets were calculated for the dosage proposed.METHODSA population pharmacokinetic model was developed using a non-linear mixed-effects modelling approach (NONMEM) with amikacin concentration-time data collected from clinical practice (75% hypoalbuminaemic patients). Goodness-of-fit plots, minimum objective function value, prediction-corrected visual predictive check, bootstrapping, precision and bias of parameter estimates were used for model evaluation. An interactive model-based simulation tool was developed in R (Shiny and R Markdown). Cmax/MIC ratio, time above MIC and AUC/MIC were used for optimizing amikacin initial dose recommendation. Probabilities of reaching targets were calculated for the dosage proposed.A one-compartment model with first-order linear elimination best described the 873 amikacin plasma concentrations available from 294 subjects (model development and external validation groups). Estimated amikacin population pharmacokinetic parameters were CL (L/h) = 0.525 + 4.78 × (CKD-EPI/98) × (0.77 × vancomycin) and V (L) = 26.3 × (albumin/2.9)-0.51 × [1 + 0.006 × (weight - 70)], where CKD-EPI is calculated with the Chronic Kidney Disease Epidemiology Collaboration equation. AMKdose is a useful interactive model-based application for a priori optimization of amikacin dosage, using individual patient and microbiological information together with predefined pharmacokinetic/pharmacodynamic (PKPD) targets.RESULTSA one-compartment model with first-order linear elimination best described the 873 amikacin plasma concentrations available from 294 subjects (model development and external validation groups). Estimated amikacin population pharmacokinetic parameters were CL (L/h) = 0.525 + 4.78 × (CKD-EPI/98) × (0.77 × vancomycin) and V (L) = 26.3 × (albumin/2.9)-0.51 × [1 + 0.006 × (weight - 70)], where CKD-EPI is calculated with the Chronic Kidney Disease Epidemiology Collaboration equation. AMKdose is a useful interactive model-based application for a priori optimization of amikacin dosage, using individual patient and microbiological information together with predefined pharmacokinetic/pharmacodynamic (PKPD) targets.Serum albumin, total bodyweight, estimated glomerular filtration rate (using the CKD-EPI equation) and co-medication with vancomycin showed a significant impact on amikacin pharmacokinetics. A powerful interactive initial dose-finding tool has been developed and is freely available online. AMKdose could be useful for guiding initial amikacin dose selection before any individual pharmacokinetic information is available.CONCLUSIONSSerum albumin, total bodyweight, estimated glomerular filtration rate (using the CKD-EPI equation) and co-medication with vancomycin showed a significant impact on amikacin pharmacokinetics. A powerful interactive initial dose-finding tool has been developed and is freely available online. AMKdose could be useful for guiding initial amikacin dose selection before any individual pharmacokinetic information is available. |
Author | Lanao, José M Pérez-Blanco, Jonás Samuel Sáez Fernández, Eva María Calvo, M Victoria Martín-Suárez, Ana |
Author_xml | – sequence: 1 givenname: Jonás Samuel orcidid: 0000-0002-1232-1763 surname: Pérez-Blanco fullname: Pérez-Blanco, Jonás Samuel organization: Department of Pharmaceutical Sciences, University of Salamanca, Pharmacy Faculty, Campus Miguel de Unamuno, 37007 Salamanca, Spain, Institute for Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, Hospital Virgen de la Vega, Paseo de San Vicente, 58-182, 37007 Salamanca, Spain – sequence: 2 givenname: Eva María orcidid: 0000-0002-3669-1291 surname: Sáez Fernández fullname: Sáez Fernández, Eva María organization: Department of Pharmaceutical Sciences, University of Salamanca, Pharmacy Faculty, Campus Miguel de Unamuno, 37007 Salamanca, Spain, Institute for Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, Hospital Virgen de la Vega, Paseo de San Vicente, 58-182, 37007 Salamanca, Spain, Pharmacy Service, University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007 Salamanca, Spain – sequence: 3 givenname: M Victoria orcidid: 0000-0001-6343-3741 surname: Calvo fullname: Calvo, M Victoria organization: Department of Pharmaceutical Sciences, University of Salamanca, Pharmacy Faculty, Campus Miguel de Unamuno, 37007 Salamanca, Spain, Institute for Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, Hospital Virgen de la Vega, Paseo de San Vicente, 58-182, 37007 Salamanca, Spain, Pharmacy Service, University Hospital of Salamanca, Paseo de San Vicente, 58-182, 37007 Salamanca, Spain – sequence: 4 givenname: José M surname: Lanao fullname: Lanao, José M organization: Department of Pharmaceutical Sciences, University of Salamanca, Pharmacy Faculty, Campus Miguel de Unamuno, 37007 Salamanca, Spain, Institute for Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, Hospital Virgen de la Vega, Paseo de San Vicente, 58-182, 37007 Salamanca, Spain – sequence: 5 givenname: Ana surname: Martín-Suárez fullname: Martín-Suárez, Ana organization: Department of Pharmaceutical Sciences, University of Salamanca, Pharmacy Faculty, Campus Miguel de Unamuno, 37007 Salamanca, Spain, Institute for Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, Hospital Virgen de la Vega, Paseo de San Vicente, 58-182, 37007 Salamanca, Spain |
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CitedBy_id | crossref_primary_10_1128_aac_01452_22 crossref_primary_10_1016_j_ejps_2022_106219 crossref_primary_10_2217_pme_2022_0068 crossref_primary_10_3390_pharmaceutics13020264 |
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