Population pharmacokinetics of vancomycin in Thai patients

Population pharmacokinetics of vancomycin in Thai adult patients was determined by non-linear mixed-effects approach using 319 vancomycin serum concentrations from 212 patients. The data were best fitted by a two-compartment model and it was used to examine the effect of patient characteristics on t...

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Main Authors: Tunggul Adi Purwonugroho, Suvatna Chulavatnatol, Yupaporn Preechagoon, Busba Chindavijak, Kumthorn Malathum, Pakwan Bunuparadah
Other Authors: Mahidol University
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Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/13728
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spelling th-mahidol.137282018-06-11T12:11:05Z Population pharmacokinetics of vancomycin in Thai patients Tunggul Adi Purwonugroho Suvatna Chulavatnatol Yupaporn Preechagoon Busba Chindavijak Kumthorn Malathum Pakwan Bunuparadah Mahidol University Universitas Jenderal Soedirman Khon Kaen University Biochemistry, Genetics and Molecular Biology Environmental Science Medicine Population pharmacokinetics of vancomycin in Thai adult patients was determined by non-linear mixed-effects approach using 319 vancomycin serum concentrations from 212 patients. The data were best fitted by a two-compartment model and it was used to examine the effect of patient characteristics on the vancomycin pharmacokinetics. In the final model, there was a linear relationship between vancomycin clearance, CL (L/h), and creatinine clearance calculated by Cockcroft-Gault equation, CLCr (mL/min): CL=0.044 × CLCr. Meanwhile, volume of central compartment, V 1 (L), was linearly related with the age (years old): V 1 =0.542 × Age. Intercompartment clearance (Q) and volume of peripheral compartment (V 2) was 6.95L/h and 44.2L, respectively. The interindividual variability for CL, V 1, Q, and V 2 was 35.78, 20.93, 39.50, and 57.27%, respectively. Whereas, the intraindividual variability was 4.51mg/L. Final model then was applied to predict serum vancomycin concentrations on validation group. Predictive performance revealed a bias of -1.43mg/L (95% CI: -5.82-2.99) and a precision of 12.2mg/L (95% CI: -1.60-26.16). In conclusion, population pharmacokinetic of vancomycin in Thai adult patients was developed. The model could be used to create vancomycin dosage regimen in the type of patient similar with the present study. Copyright 2012 Tunggul Adi Purwonugroho et al. 2018-06-11T04:36:50Z 2018-06-11T04:36:50Z 2012-05-21 Article The Scientific World Journal. Vol.2012, (2012) 10.1100/2012/762649 1537744X 2-s2.0-84861071962 https://repository.li.mahidol.ac.th/handle/123456789/13728 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84861071962&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Biochemistry, Genetics and Molecular Biology
Environmental Science
Medicine
spellingShingle Biochemistry, Genetics and Molecular Biology
Environmental Science
Medicine
Tunggul Adi Purwonugroho
Suvatna Chulavatnatol
Yupaporn Preechagoon
Busba Chindavijak
Kumthorn Malathum
Pakwan Bunuparadah
Population pharmacokinetics of vancomycin in Thai patients
description Population pharmacokinetics of vancomycin in Thai adult patients was determined by non-linear mixed-effects approach using 319 vancomycin serum concentrations from 212 patients. The data were best fitted by a two-compartment model and it was used to examine the effect of patient characteristics on the vancomycin pharmacokinetics. In the final model, there was a linear relationship between vancomycin clearance, CL (L/h), and creatinine clearance calculated by Cockcroft-Gault equation, CLCr (mL/min): CL=0.044 × CLCr. Meanwhile, volume of central compartment, V 1 (L), was linearly related with the age (years old): V 1 =0.542 × Age. Intercompartment clearance (Q) and volume of peripheral compartment (V 2) was 6.95L/h and 44.2L, respectively. The interindividual variability for CL, V 1, Q, and V 2 was 35.78, 20.93, 39.50, and 57.27%, respectively. Whereas, the intraindividual variability was 4.51mg/L. Final model then was applied to predict serum vancomycin concentrations on validation group. Predictive performance revealed a bias of -1.43mg/L (95% CI: -5.82-2.99) and a precision of 12.2mg/L (95% CI: -1.60-26.16). In conclusion, population pharmacokinetic of vancomycin in Thai adult patients was developed. The model could be used to create vancomycin dosage regimen in the type of patient similar with the present study. Copyright 2012 Tunggul Adi Purwonugroho et al.
author2 Mahidol University
author_facet Mahidol University
Tunggul Adi Purwonugroho
Suvatna Chulavatnatol
Yupaporn Preechagoon
Busba Chindavijak
Kumthorn Malathum
Pakwan Bunuparadah
format Article
author Tunggul Adi Purwonugroho
Suvatna Chulavatnatol
Yupaporn Preechagoon
Busba Chindavijak
Kumthorn Malathum
Pakwan Bunuparadah
author_sort Tunggul Adi Purwonugroho
title Population pharmacokinetics of vancomycin in Thai patients
title_short Population pharmacokinetics of vancomycin in Thai patients
title_full Population pharmacokinetics of vancomycin in Thai patients
title_fullStr Population pharmacokinetics of vancomycin in Thai patients
title_full_unstemmed Population pharmacokinetics of vancomycin in Thai patients
title_sort population pharmacokinetics of vancomycin in thai patients
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/13728
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