Population pharmacokinetics of arbekacin in burn patients
The aim of this study was to estimate the pharmacokinetics (PK) of arbekacin in burn patients using a population–PK approach. Therapeutic drug monitoring data consisting of 126 plasma concentrations (including 17 values that were below the quantitation limit) from 47 burn patients were retrospective...
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Published in | European journal of clinical pharmacology Vol. 64; no. 6; pp. 599 - 603 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer-Verlag
01.06.2008
Springer Springer Nature B.V |
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Abstract | The aim of this study was to estimate the pharmacokinetics (PK) of arbekacin in burn patients using a population–PK approach. Therapeutic drug monitoring data consisting of 126 plasma concentrations (including 17 values that were below the quantitation limit) from 47 burn patients were retrospectively analyzed using a mixed effect method (
NONMEM
, ver. 6.0). Covariates, such as burn index, age, sex, among others, were tested on the basic one-compartment model. In the basic model, positive correlations of body weight (WT) and creatinine clearance (CLcr) on total clearance (CL) and volume of distributions (V) were assumed. In the final model, V increased with burn index (BI). The final model was:
;
. Between-subject variability in terms of CL and V were 35 and 39%, respectively. The CL of our burn patients was significantly greater than that reported in unburned patients, and V increased proportionally with increasing BI. |
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AbstractList | The aim of this study was to estimate the pharmacokinetics (PK) of arbekacin in burn patients using a population-PK approach. Therapeutic drug monitoring data consisting of 126 plasma concentrations (including 17 values that were below the quantitation limit) from 47 burn patients were retrospectively analyzed using a mixed effect method (NONMEM, ver. 6.0). Covariates, such as burn index, age, sex, among others, were tested on the basic one-compartment model. In the basic model, positive correlations of body weight (WT) and creatinine clearance (CLcr) on total clearance (CL) and volume of distributions (V) were assumed. In the final model, V increased with burn index (BI). The final model was: CL(L/h) = 3.18x WT/ 70 + 4.49x CLcr/120; V(L) = 27.5x WT/70 + 0.28x (BI-23.5). Between-subject variability in terms of CL and V were 35 and 39%, respectively. The CL of our burn patients was significantly greater than that reported in unburned patients, and V increased proportionally with increasing BI. The aim of this study was to estimate the pharmacokinetics (PK) of arbekacin in burn patients using a population-PK approach. Therapeutic drug monitoring data consisting of 126 plasma concentrations (including 17 values that were below the quantitation limit) from 47 burn patients were retrospectively analyzed using a mixed effect method (NONMEM, ver. 6.0). Covariates, such as burn index, age, sex, among others, were tested on the basic one-compartment model. In the basic model, positive correlations of body weight (WT) and creatinine clearance (CLcr) on total clearance (CL) and volume of distributions (V) were assumed. In the final model, V increased with burn index (BI). The final model was: CL(L/h) = 3.18x WT/ 70 + 4.49x CLcr/120; V(L) = 27.5x WT/70 + 0.28x (BI-23.5). Between-subject variability in terms of CL and V were 35 and 39%, respectively. The CL of our burn patients was significantly greater than that reported in unburned patients, and V increased proportionally with increasing BI.The aim of this study was to estimate the pharmacokinetics (PK) of arbekacin in burn patients using a population-PK approach. Therapeutic drug monitoring data consisting of 126 plasma concentrations (including 17 values that were below the quantitation limit) from 47 burn patients were retrospectively analyzed using a mixed effect method (NONMEM, ver. 6.0). Covariates, such as burn index, age, sex, among others, were tested on the basic one-compartment model. In the basic model, positive correlations of body weight (WT) and creatinine clearance (CLcr) on total clearance (CL) and volume of distributions (V) were assumed. In the final model, V increased with burn index (BI). The final model was: CL(L/h) = 3.18x WT/ 70 + 4.49x CLcr/120; V(L) = 27.5x WT/70 + 0.28x (BI-23.5). Between-subject variability in terms of CL and V were 35 and 39%, respectively. The CL of our burn patients was significantly greater than that reported in unburned patients, and V increased proportionally with increasing BI. The aim of this study was to estimate the pharmacokinetics (PK) of arbekacin in burn patients using a population-PK approach. Therapeutic drug monitoring data consisting of 126 plasma concentrations (including 17 values that were below the quantitation limit) from 47 burn patients were retrospectively analyzed using a mixed effect method (NONMEM, ver. 6.0). Covariates, such as burn index, age, sex, among others, were tested on the basic one-compartment model. In the basic model, positive correlations of body weight (WT) and creatinine clearance (CLcr) on total clearance (CL) and volume of distributions (V) were assumed. In the final model, V increased with burn index (BI). The final model was: $$ CL{\left( {L \mathord{\left/ {\vphantom {L h}} \right. \kern-\nulldelimiterspace} h} \right)} = 3.18x{WT} \mathord{\left/ {\vphantom {{WT} {70}}} \right. \kern-\nulldelimiterspace} {70} + 4.49x{CLcr} \mathord{\left/ {\vphantom {{CLcr} {120}}} \right. \kern-\nulldelimiterspace} {120} $$;$$ V{\left( L \right)} = 27.5x{WT} \mathord{\left/ {\vphantom {{WT} {70}}} \right. \kern-\nulldelimiterspace} {70} + 0.28x{\left( {BI - 23.5} \right)} $$. Between-subject variability in terms of CL and V were 35 and 39%, respectively. The CL of our burn patients was significantly greater than that reported in unburned patients, and V increased proportionally with increasing BI. [PUBLICATION ABSTRACT] The aim of this study was to estimate the pharmacokinetics (PK) of arbekacin in burn patients using a population–PK approach. Therapeutic drug monitoring data consisting of 126 plasma concentrations (including 17 values that were below the quantitation limit) from 47 burn patients were retrospectively analyzed using a mixed effect method (NONMEM, ver. 6.0). Covariates, such as burn index, age, sex, among others, were tested on the basic one-compartment model. In the basic model, positive correlations of body weight (WT) and creatinine clearance (CLcr) on total clearance (CL) and volume of distributions (V) were assumed. In the final model, V increased with burn index (BI). The final model was: ;. Between-subject variability in terms of CL and V were 35 and 39%, respectively. The CL of our burn patients was significantly greater than that reported in unburned patients, and V increased proportionally with increasing BI. The aim of this study was to estimate the pharmacokinetics (PK) of arbekacin in burn patients using a population–PK approach. Therapeutic drug monitoring data consisting of 126 plasma concentrations (including 17 values that were below the quantitation limit) from 47 burn patients were retrospectively analyzed using a mixed effect method ( NONMEM , ver. 6.0). Covariates, such as burn index, age, sex, among others, were tested on the basic one-compartment model. In the basic model, positive correlations of body weight (WT) and creatinine clearance (CLcr) on total clearance (CL) and volume of distributions (V) were assumed. In the final model, V increased with burn index (BI). The final model was: ; . Between-subject variability in terms of CL and V were 35 and 39%, respectively. The CL of our burn patients was significantly greater than that reported in unburned patients, and V increased proportionally with increasing BI. |
Author | Yim, Dong-Seok Kim, Jong Hyun Lah, Hyon-oh |
Author_xml | – sequence: 1 givenname: Jong Hyun surname: Kim fullname: Kim, Jong Hyun organization: Department of Surgery, Hangang Sacred Heart Hospital, College of Medicine, Hallym University – sequence: 2 givenname: Hyon-oh surname: Lah fullname: Lah, Hyon-oh organization: Department of Pharmacology, College of Medicine, The Catholic University of Korea – sequence: 3 givenname: Dong-Seok surname: Yim fullname: Yim, Dong-Seok email: yimds@catholic.ac.kr organization: Department of Pharmacology, College of Medicine, The Catholic University of Korea, Department of Pharmacology, The Catholic University of Korea |
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CitedBy_id | crossref_primary_10_1016_j_burns_2009_09_001 crossref_primary_10_1016_j_burns_2015_01_001 crossref_primary_10_1097_FTD_0000000000000678 crossref_primary_10_1128_AAC_00505_18 |
Cites_doi | 10.1097/00005373-197610000-00014 10.1093/jac/44.3.319 10.1016/S0305-4179(98)00058-8 10.1016/S0002-9610(96)00346-7 10.1016/j.biopha.2003.12.012 10.1093/jac/35.6.865 10.1128/AAC.00420-05 10.1093/clinids/14.2.458 10.1093/infdis/124.Supplement_1.S185 10.1128/AAC.34.5.792 10.1097/00005373-197610000-00013 10.1136/bmj.1.5906.477 |
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Keywords | Burn Population pharmacokinetics Arbekacin NONMEM Human Antibiotic Aminoglycoside Protein synthesis inhibitor Antibacterial agent |
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Snippet | The aim of this study was to estimate the pharmacokinetics (PK) of arbekacin in burn patients using a population–PK approach. Therapeutic drug monitoring data... The aim of this study was to estimate the pharmacokinetics (PK) of arbekacin in burn patients using a population-PK approach. Therapeutic drug monitoring data... |
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SubjectTerms | Adolescent Adult Aged Aged, 80 and over Anti-Infective Agents - pharmacokinetics Arbekacin Biological and medical sciences Biomedical and Life Sciences Biomedicine Body weight Burn patients Burn treatment Burns Burns - metabolism Creatinine Dibekacin - analogs & derivatives Dibekacin - pharmacokinetics Drug therapy Female Humans Male Medical sciences Metabolic Clearance Rate Middle Aged Models, Biological Pharmacokinetics Pharmacokinetics and Disposition Pharmacology Pharmacology. Drug treatments Pharmacology/Toxicology Quantitation Retrospective Studies Therapeutic drug monitoring Traumas. Diseases due to physical agents |
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Title | Population pharmacokinetics of arbekacin in burn patients |
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