Population pharmacokinetics of rosuvastatin: implications of renal impairment, race, and dyslipidaemia

ABSTRACT Objectives: To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function on its pharmacokinetic parameters. Methods: A population pharmacokinetic analysis of rosuvastatin in healthy volunteers, subjects wi...

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Published inCurrent medical research and opinion Vol. 24; no. 9; pp. 2575 - 2585
Main Authors Tzeng, Tsang-Bin, Schneck, Dennis W., Birmingham, Bruce K., Mitchell, Patrick D., Zhang, Harry, Martin, Paul D., Kung, Li-Pin
Format Journal Article
LanguageEnglish
Published England Informa UK Ltd 01.09.2008
Taylor & Francis
Informa Healthcare
Subjects
Online AccessGet full text
ISSN0300-7995
1473-4877
1473-4877
DOI10.1185/03007990802312807

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Abstract ABSTRACT Objectives: To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function on its pharmacokinetic parameters. Methods: A population pharmacokinetic analysis of rosuvastatin in healthy volunteers, subjects with dyslipidaemia, and renal failure patients was performed using non-linear mixed-effects modelling and a two-compartment pharmacokinetic model with simultaneous first- and zero-order absorption. Demographic covariates, dyslipidaemic state and renal function were evaluated for their impact on pharmacokinetic parameters by step-wise additions or deletions using the likelihood ratio test. Results: Typical pharmacokinetic parameters were estimated for a healthy white male subject. For example, apparent oral clearance (CL/F ) was estimated to be 257 L/h. Age, smoking status, weight, body surface area, and lean body mass had no significant effect on rosuvastatin pharmacokinetics. The model predicted that CL/F for subjects with creatinine clearance (CLCR ) of 30 mL/min (moderate renal impairment) and of 50 mL/min (mild renal impairment) was 17% and 9.7% lower, respectively, relative to subjects with CLCR of 94 mL/min, the data set median value. CL/F was reduced by 71.1% and 43.7% in subjects with dyslipidaemia and in Asian subjects, respectively. Conclusions: Reduction of CL/F of rosuvastatin is not considered clinically significant for patients with mild-to-moderate renal impairment. Rosuvastatin CL/F was reduced in subjects with dyslipidaemia, but it is important to realise that the safety/efficacy profile of rosuvastatin has been well established in this population. However, the potential for increased exposure in Asian subjects should be considered when initiating rosuvastatin treatment or increasing dose in this population.
AbstractList To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function on its pharmacokinetic parameters.OBJECTIVESTo build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function on its pharmacokinetic parameters.A population pharmacokinetic analysis of rosuvastatin in healthy volunteers, subjects with dyslipidaemia, and renal failure patients was performed using non-linear mixed-effects modelling and a two-compartment pharmacokinetic model with simultaneous first- and zero-order absorption. Demographic covariates, dyslipidaemic state and renal function were evaluated for their impact on pharmacokinetic parameters by step-wise additions or deletions using the likelihood ratio test.METHODSA population pharmacokinetic analysis of rosuvastatin in healthy volunteers, subjects with dyslipidaemia, and renal failure patients was performed using non-linear mixed-effects modelling and a two-compartment pharmacokinetic model with simultaneous first- and zero-order absorption. Demographic covariates, dyslipidaemic state and renal function were evaluated for their impact on pharmacokinetic parameters by step-wise additions or deletions using the likelihood ratio test.Typical pharmacokinetic parameters were estimated for a healthy white male subject. For example, apparent oral clearance (CL/F) was estimated to be 257 L/h. Age, smoking status, weight, body surface area, and lean body mass had no significant effect on rosuvastatin pharmacokinetics. The model predicted that CL/F for subjects with creatinine clearance (CLCR) of 30 mL/min (moderate renal impairment) and of 50 mL/min (mild renal impairment) was 17% and 9.7% lower, respectively, relative to subjects with CLCR of 94 mL/min, the data set median value. CL/F was reduced by 71.1% and 43.7% in subjects with dyslipidaemia and in Asian subjects, respectively.RESULTSTypical pharmacokinetic parameters were estimated for a healthy white male subject. For example, apparent oral clearance (CL/F) was estimated to be 257 L/h. Age, smoking status, weight, body surface area, and lean body mass had no significant effect on rosuvastatin pharmacokinetics. The model predicted that CL/F for subjects with creatinine clearance (CLCR) of 30 mL/min (moderate renal impairment) and of 50 mL/min (mild renal impairment) was 17% and 9.7% lower, respectively, relative to subjects with CLCR of 94 mL/min, the data set median value. CL/F was reduced by 71.1% and 43.7% in subjects with dyslipidaemia and in Asian subjects, respectively.Reduction of CL/F of rosuvastatin is not considered clinically significant for patients with mild-to-moderate renal impairment. Rosuvastatin CL/F was reduced in subjects with dyslipidaemia, but it is important to realise that the safety/efficacy profile of rosuvastatin has been well established in this population. However, the potential for increased exposure in Asian subjects should be considered when initiating rosuvastatin treatment or increasing dose in this population.CONCLUSIONSReduction of CL/F of rosuvastatin is not considered clinically significant for patients with mild-to-moderate renal impairment. Rosuvastatin CL/F was reduced in subjects with dyslipidaemia, but it is important to realise that the safety/efficacy profile of rosuvastatin has been well established in this population. However, the potential for increased exposure in Asian subjects should be considered when initiating rosuvastatin treatment or increasing dose in this population.
OBJECTIVES: To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function on its pharmacokinetic parameters. METHODS: A population pharmacokinetic analysis of rosuvastatin in healthy volunteers, subjects with dyslipidaemia, and renal failure patients was performed using non-linear mixed-effects modelling and a two-compartment pharmacokinetic model with simultaneous first- and zero-order absorption. Demographic covariates, dyslipidaemic state and renal function were evaluated for their impact on pharmacokinetic parameters by step-wise additions or deletions using the likelihood ratio test. RESULTS: Typical pharmacokinetic parameters were estimated for a healthy white male subject. For example, apparent oral clearance (CL/F) was estimated to be 257 L/h. Age, smoking status, weight, body surface area, and lean body mass had no significant effect on rosuvastatin pharmacokinetics. The model predicted that CL/F for subjects with creatinine clearance (CLCR) of 30 mL/min (moderate renal impairment) and of 50 mL/min (mild renal impairment) was 17% and 9.7% lower, respectively, relative to subjects with CLCR of 94 mL/min, the data set median value. CL/F was reduced by 71.1% and 43.7% in subjects with dyslipidaemia and in Asian subjects, respectively. CONCLUSIONS: Reduction of CL/F of rosuvastatin is not considered clinically significant for patients with mild-to-moderate renal impairment. Rosuvastatin CL/F was reduced in subjects with dyslipidaemia, but it is important to realise that the safety/efficacy profile of rosuvastatin has been well established in this population. However, the potential for increased exposure in Asian subjects should be considered when initiating rosuvastatin treatment or increasing dose in this population.
To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function on its pharmacokinetic parameters. A population pharmacokinetic analysis of rosuvastatin in healthy volunteers, subjects with dyslipidaemia, and renal failure patients was performed using non-linear mixed-effects modelling and a two-compartment pharmacokinetic model with simultaneous first- and zero-order absorption. Demographic covariates, dyslipidaemic state and renal function were evaluated for their impact on pharmacokinetic parameters by step-wise additions or deletions using the likelihood ratio test. Typical pharmacokinetic parameters were estimated for a healthy white male subject. For example, apparent oral clearance (CL/F) was estimated to be 257 L/h. Age, smoking status, weight, body surface area, and lean body mass had no significant effect on rosuvastatin pharmacokinetics. The model predicted that CL/F for subjects with creatinine clearance (CLCR) of 30 mL/min (moderate renal impairment) and of 50 mL/min (mild renal impairment) was 17% and 9.7% lower, respectively, relative to subjects with CLCR of 94 mL/min, the data set median value. CL/F was reduced by 71.1% and 43.7% in subjects with dyslipidaemia and in Asian subjects, respectively. Reduction of CL/F of rosuvastatin is not considered clinically significant for patients with mild-to-moderate renal impairment. Rosuvastatin CL/F was reduced in subjects with dyslipidaemia, but it is important to realise that the safety/efficacy profile of rosuvastatin has been well established in this population. However, the potential for increased exposure in Asian subjects should be considered when initiating rosuvastatin treatment or increasing dose in this population.
ABSTRACT Objectives: To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function on its pharmacokinetic parameters. Methods: A population pharmacokinetic analysis of rosuvastatin in healthy volunteers, subjects with dyslipidaemia, and renal failure patients was performed using non-linear mixed-effects modelling and a two-compartment pharmacokinetic model with simultaneous first- and zero-order absorption. Demographic covariates, dyslipidaemic state and renal function were evaluated for their impact on pharmacokinetic parameters by step-wise additions or deletions using the likelihood ratio test. Results: Typical pharmacokinetic parameters were estimated for a healthy white male subject. For example, apparent oral clearance (CL/F ) was estimated to be 257 L/h. Age, smoking status, weight, body surface area, and lean body mass had no significant effect on rosuvastatin pharmacokinetics. The model predicted that CL/F for subjects with creatinine clearance (CLCR ) of 30 mL/min (moderate renal impairment) and of 50 mL/min (mild renal impairment) was 17% and 9.7% lower, respectively, relative to subjects with CLCR of 94 mL/min, the data set median value. CL/F was reduced by 71.1% and 43.7% in subjects with dyslipidaemia and in Asian subjects, respectively. Conclusions: Reduction of CL/F of rosuvastatin is not considered clinically significant for patients with mild-to-moderate renal impairment. Rosuvastatin CL/F was reduced in subjects with dyslipidaemia, but it is important to realise that the safety/efficacy profile of rosuvastatin has been well established in this population. However, the potential for increased exposure in Asian subjects should be considered when initiating rosuvastatin treatment or increasing dose in this population.
Objectives: To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function on its pharmacokinetic parameters. Methods: A population pharmacokinetic analysis of rosuvastatin in healthy volunteers, subjects with dyslipidaemia, and renal failure patients was performed using non-linear mixed-effects modelling and a two-compartment pharmacokinetic model with simultaneous first- and zero-order absorption. Demographic covariates, dyslipidaemic state and renal function were evaluated for their impact on pharmacokinetic parameters by step-wise additions or deletions using the likelihood ratio test. Results: Typical pharmacokinetic parameters were estimated for a healthy white male subject. For example, apparent oral clearance (CL/F ) was estimated to be 257 L/h. Age, smoking status, weight, body surface area, and lean body mass had no significant effect on rosuvastatin pharmacokinetics. The model predicted that CL/F for subjects with creatinine clearance (CLCR ) of 30 mL/min (moderate renal impairment) and of 50 mL/min (mild renal impairment) was 17% and 9.7% lower, respectively, relative to subjects with CLCR of 94 mL/min, the data set median value. CL/F was reduced by 71.1% and 43.7% in subjects with dyslipidaemia and in Asian subjects, respectively. Conclusions: Reduction of CL/F of rosuvastatin is not considered clinically significant for patients with mild-to-moderate renal impairment. Rosuvastatin CL/F was reduced in subjects with dyslipidaemia, but it is important to realise that the safety/efficacy profile of rosuvastatin has been well established in this population. However, the potential for increased exposure in Asian subjects should be considered when initiating rosuvastatin treatment or increasing dose in this population.
Author Mitchell, Patrick D.
Schneck, Dennis W.
Zhang, Harry
Birmingham, Bruce K.
Tzeng, Tsang-Bin
Martin, Paul D.
Kung, Li-Pin
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  fullname: Tzeng, Tsang-Bin
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  givenname: Dennis W.
  surname: Schneck
  fullname: Schneck, Dennis W.
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  givenname: Bruce K.
  surname: Birmingham
  fullname: Birmingham, Bruce K.
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  surname: Mitchell
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  email: tsang-bin.tzeng@astrazeneca.com
BackLink https://www.ncbi.nlm.nih.gov/pubmed/18674408$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1177/009127002401102876
10.1016/S0149-2918(03)80316-8
10.1046/j.1365-2125.2003.01720.x
10.1016/j.amjcard.2006.08.051
10.1016/S1570-0232(02)00088-0
10.1016/S0009-9236(02)17633-8
10.1177/009127002401382722
10.1007/s00228-002-0508-8
10.1046/j.1365-2125.2002.01688.x
10.1007/s00228-003-0573-7
10.1177/009127002401102731
10.1016/S0021-9150(00)80175-6
10.1016/j.clpt.2004.03.010
10.1159/000180580
10.1016/j.clpt.2005.06.013
10.2165/00129784-200404020-00005
10.1016/S0149-2918(03)80336-3
10.1016/S0149-2918(03)80214-X
10.1016/j.clpt.2003.12.014
10.1016/S0149-2918(03)80089-9
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  doi: 10.1177/009127002401102876
– ident: CIT0009
  doi: 10.1016/S0149-2918(03)80316-8
– ident: CIT0012
  doi: 10.1046/j.1365-2125.2003.01720.x
– ident: CIT0022
  doi: 10.1016/j.amjcard.2006.08.051
– ident: CIT0003
  doi: 10.1016/S1570-0232(02)00088-0
– ident: CIT0011
  doi: 10.1016/S0009-9236(02)17633-8
– ident: CIT0014
  doi: 10.1177/009127002401382722
– ident: CIT0013
  doi: 10.1007/s00228-002-0508-8
– volume: 21
  start-page: 187
  year: 2005
  ident: CIT0017
  publication-title: J Clin Ther Med
– ident: CIT0018
  doi: 10.1046/j.1365-2125.2002.01688.x
– ident: CIT0006
  doi: 10.1007/s00228-003-0573-7
– ident: CIT0001
  doi: 10.1177/009127002401102731
– ident: CIT0019
  doi: 10.1016/S0021-9150(00)80175-6
– volume-title: NONMEM Users’ Guide-Part V: Introductory Guide. NONMEM Project Group C255 University of California at San Francisco
  year: 1991
  ident: CIT0005
– ident: CIT0021
  doi: 10.1016/j.clpt.2004.03.010
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  doi: 10.1159/000180580
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Snippet ABSTRACT Objectives: To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal...
Objectives: To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function...
To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function on its...
OBJECTIVES: To build the structural model of pharmacokinetics for rosuvastatin and evaluate the impact of demographic characteristics including renal function...
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StartPage 2575
SubjectTerms Adolescent
Adult
Aged
Aged, 80 and over
Chromatography, High Pressure Liquid
Continental Population Groups
Covariates
Dyslipidaemia
Dyslipidemias - drug therapy
Dyslipidemias - metabolism
Fluorobenzenes - pharmacokinetics
Fluorobenzenes - therapeutic use
Humans
Hydroxymethylglutaryl-CoA Reductase Inhibitors - pharmacokinetics
Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use
Kidney - physiopathology
Middle Aged
Population pharmacokinetics
Pyrimidines - pharmacokinetics
Pyrimidines - therapeutic use
Race
Renal impairment
Rosuvastatin
Rosuvastatin Calcium
Sulfonamides - pharmacokinetics
Sulfonamides - therapeutic use
Tandem Mass Spectrometry
Title Population pharmacokinetics of rosuvastatin: implications of renal impairment, race, and dyslipidaemia
URI https://www.tandfonline.com/doi/abs/10.1185/03007990802312807
https://www.ncbi.nlm.nih.gov/pubmed/18674408
https://www.proquest.com/docview/207986892
https://www.proquest.com/docview/69599017
Volume 24
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