Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine

ISSN:
1432-1041
Keywords:
Key words Amlodipine ; Limited-sampling models ; Pharmacokinetics
Source:
Springer Online Journal Archives 1860-2000
Topics:
Chemistry and Pharmacology
Medicine
Notes:
Abstract Objective: Develop and validate limited-sampling strategy (LSS) models for estimating the area under the plasma concentration versus time curve (AUC) of amlodipine, using data from a bioequivalence study. Methods: Sixteen healthy volunteers received single 5-mg oral doses of amlodipine, as reference or test formulation, at a 14-day interval, in a randomized, crossover protocol. Plasma concentrations of amlodipine (n = 288), measured by mass spectrometry, were used to develop LSS models. Results: Linear regression analysis of the AUC0–72 and a “jack-knife” validation procedure revealed that LSS models based on two sampling times (12 h and 48 h) predict accurately (R2 = 0.99; bias〈0.01%; precision = 0.03%) the AUC0–72 of amlodipine for each formulation. Validation tests indicate that the 2-point LSS model developed for the reference formulation predicts accurately (R2〉0.90): (a) the individual AUC0–72 for the test formulation in the same group of volunteers; (b) the individual AUC0–72 for the same reference formulation in another bioequivalence study in Brazilian volunteers; (c) the average AUC0–72 reported in seven additional international studies performed under protocols similar to the present investigation; (d) the individual AUC0–72 corresponding to concentration data points provided by a first-order compartmental pharmacokinetic model, when the relative values of either the absorption rate (K abs) or the bioavailability (F) model parameters were set at 0.85 or 0.6, of their respective original values. Conclusions: The 2-point LSS models developed in the current study predict accurately the AUC of amlodipine under a variety of experimental conditions and, thus, may be valuable for exploring the relationships between the pharmacokinetics and pharmacodynamics of this calcium antagonist, at reduced costs of sample acquisition and analysis, and avoiding sampling at “unsociable” hours.
Type of Medium:
Electronic Resource
URL:
_version_ 1798295571337838592
autor Suarez-Kurtz, G.
Vicente, F. L.
Ponte, C. G.
Buy, V. L. M.
Struchiner, C. J.
autorsonst Suarez-Kurtz, G.
Vicente, F. L.
Ponte, C. G.
Buy, V. L. M.
Struchiner, C. J.
book_url http://dx.doi.org/10.1007/s002280050688
datenlieferant nat_lic_papers
hauptsatz hsatz_simple
identnr NLM202481352
issn 1432-1041
journal_name European journal of clinical pharmacology
materialart 1
notes Abstract Objective: Develop and validate limited-sampling strategy (LSS) models for estimating the area under the plasma concentration versus time curve (AUC) of amlodipine, using data from a bioequivalence study. Methods: Sixteen healthy volunteers received single 5-mg oral doses of amlodipine, as reference or test formulation, at a 14-day interval, in a randomized, crossover protocol. Plasma concentrations of amlodipine (n = 288), measured by mass spectrometry, were used to develop LSS models. Results: Linear regression analysis of the AUC0–72 and a “jack-knife” validation procedure revealed that LSS models based on two sampling times (12 h and 48 h) predict accurately (R2 = 0.99; bias〈0.01%; precision = 0.03%) the AUC0–72 of amlodipine for each formulation. Validation tests indicate that the 2-point LSS model developed for the reference formulation predicts accurately (R2〉0.90): (a) the individual AUC0–72 for the test formulation in the same group of volunteers; (b) the individual AUC0–72 for the same reference formulation in another bioequivalence study in Brazilian volunteers; (c) the average AUC0–72 reported in seven additional international studies performed under protocols similar to the present investigation; (d) the individual AUC0–72 corresponding to concentration data points provided by a first-order compartmental pharmacokinetic model, when the relative values of either the absorption rate (K abs) or the bioavailability (F) model parameters were set at 0.85 or 0.6, of their respective original values. Conclusions: The 2-point LSS models developed in the current study predict accurately the AUC of amlodipine under a variety of experimental conditions and, thus, may be valuable for exploring the relationships between the pharmacokinetics and pharmacodynamics of this calcium antagonist, at reduced costs of sample acquisition and analysis, and avoiding sampling at “unsociable” hours.
package_name Springer
publikationsjahr_anzeige 1999
publikationsjahr_facette 1999
publikationsjahr_intervall 8004:1995-1999
publikationsjahr_sort 1999
publisher Springer
reference 55 (1999), S. 651-657
schlagwort Key words Amlodipine
Limited-sampling models
Pharmacokinetics
search_space articles
shingle_author_1 Suarez-Kurtz, G.
Vicente, F. L.
Ponte, C. G.
Buy, V. L. M.
Struchiner, C. J.
shingle_author_2 Suarez-Kurtz, G.
Vicente, F. L.
Ponte, C. G.
Buy, V. L. M.
Struchiner, C. J.
shingle_author_3 Suarez-Kurtz, G.
Vicente, F. L.
Ponte, C. G.
Buy, V. L. M.
Struchiner, C. J.
shingle_author_4 Suarez-Kurtz, G.
Vicente, F. L.
Ponte, C. G.
Buy, V. L. M.
Struchiner, C. J.
shingle_catch_all_1 Suarez-Kurtz, G.
Vicente, F. L.
Ponte, C. G.
Buy, V. L. M.
Struchiner, C. J.
Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine
Key words Amlodipine
Limited-sampling models
Pharmacokinetics
Key words Amlodipine
Limited-sampling models
Pharmacokinetics
Abstract Objective: Develop and validate limited-sampling strategy (LSS) models for estimating the area under the plasma concentration versus time curve (AUC) of amlodipine, using data from a bioequivalence study. Methods: Sixteen healthy volunteers received single 5-mg oral doses of amlodipine, as reference or test formulation, at a 14-day interval, in a randomized, crossover protocol. Plasma concentrations of amlodipine (n = 288), measured by mass spectrometry, were used to develop LSS models. Results: Linear regression analysis of the AUC0–72 and a “jack-knife” validation procedure revealed that LSS models based on two sampling times (12 h and 48 h) predict accurately (R2 = 0.99; bias〈0.01%; precision = 0.03%) the AUC0–72 of amlodipine for each formulation. Validation tests indicate that the 2-point LSS model developed for the reference formulation predicts accurately (R2〉0.90): (a) the individual AUC0–72 for the test formulation in the same group of volunteers; (b) the individual AUC0–72 for the same reference formulation in another bioequivalence study in Brazilian volunteers; (c) the average AUC0–72 reported in seven additional international studies performed under protocols similar to the present investigation; (d) the individual AUC0–72 corresponding to concentration data points provided by a first-order compartmental pharmacokinetic model, when the relative values of either the absorption rate (K abs) or the bioavailability (F) model parameters were set at 0.85 or 0.6, of their respective original values. Conclusions: The 2-point LSS models developed in the current study predict accurately the AUC of amlodipine under a variety of experimental conditions and, thus, may be valuable for exploring the relationships between the pharmacokinetics and pharmacodynamics of this calcium antagonist, at reduced costs of sample acquisition and analysis, and avoiding sampling at “unsociable” hours.
1432-1041
14321041
Springer
shingle_catch_all_2 Suarez-Kurtz, G.
Vicente, F. L.
Ponte, C. G.
Buy, V. L. M.
Struchiner, C. J.
Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine
Key words Amlodipine
Limited-sampling models
Pharmacokinetics
Key words Amlodipine
Limited-sampling models
Pharmacokinetics
Abstract Objective: Develop and validate limited-sampling strategy (LSS) models for estimating the area under the plasma concentration versus time curve (AUC) of amlodipine, using data from a bioequivalence study. Methods: Sixteen healthy volunteers received single 5-mg oral doses of amlodipine, as reference or test formulation, at a 14-day interval, in a randomized, crossover protocol. Plasma concentrations of amlodipine (n = 288), measured by mass spectrometry, were used to develop LSS models. Results: Linear regression analysis of the AUC0–72 and a “jack-knife” validation procedure revealed that LSS models based on two sampling times (12 h and 48 h) predict accurately (R2 = 0.99; bias〈0.01%; precision = 0.03%) the AUC0–72 of amlodipine for each formulation. Validation tests indicate that the 2-point LSS model developed for the reference formulation predicts accurately (R2〉0.90): (a) the individual AUC0–72 for the test formulation in the same group of volunteers; (b) the individual AUC0–72 for the same reference formulation in another bioequivalence study in Brazilian volunteers; (c) the average AUC0–72 reported in seven additional international studies performed under protocols similar to the present investigation; (d) the individual AUC0–72 corresponding to concentration data points provided by a first-order compartmental pharmacokinetic model, when the relative values of either the absorption rate (K abs) or the bioavailability (F) model parameters were set at 0.85 or 0.6, of their respective original values. Conclusions: The 2-point LSS models developed in the current study predict accurately the AUC of amlodipine under a variety of experimental conditions and, thus, may be valuable for exploring the relationships between the pharmacokinetics and pharmacodynamics of this calcium antagonist, at reduced costs of sample acquisition and analysis, and avoiding sampling at “unsociable” hours.
1432-1041
14321041
Springer
shingle_catch_all_3 Suarez-Kurtz, G.
Vicente, F. L.
Ponte, C. G.
Buy, V. L. M.
Struchiner, C. J.
Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine
Key words Amlodipine
Limited-sampling models
Pharmacokinetics
Key words Amlodipine
Limited-sampling models
Pharmacokinetics
Abstract Objective: Develop and validate limited-sampling strategy (LSS) models for estimating the area under the plasma concentration versus time curve (AUC) of amlodipine, using data from a bioequivalence study. Methods: Sixteen healthy volunteers received single 5-mg oral doses of amlodipine, as reference or test formulation, at a 14-day interval, in a randomized, crossover protocol. Plasma concentrations of amlodipine (n = 288), measured by mass spectrometry, were used to develop LSS models. Results: Linear regression analysis of the AUC0–72 and a “jack-knife” validation procedure revealed that LSS models based on two sampling times (12 h and 48 h) predict accurately (R2 = 0.99; bias〈0.01%; precision = 0.03%) the AUC0–72 of amlodipine for each formulation. Validation tests indicate that the 2-point LSS model developed for the reference formulation predicts accurately (R2〉0.90): (a) the individual AUC0–72 for the test formulation in the same group of volunteers; (b) the individual AUC0–72 for the same reference formulation in another bioequivalence study in Brazilian volunteers; (c) the average AUC0–72 reported in seven additional international studies performed under protocols similar to the present investigation; (d) the individual AUC0–72 corresponding to concentration data points provided by a first-order compartmental pharmacokinetic model, when the relative values of either the absorption rate (K abs) or the bioavailability (F) model parameters were set at 0.85 or 0.6, of their respective original values. Conclusions: The 2-point LSS models developed in the current study predict accurately the AUC of amlodipine under a variety of experimental conditions and, thus, may be valuable for exploring the relationships between the pharmacokinetics and pharmacodynamics of this calcium antagonist, at reduced costs of sample acquisition and analysis, and avoiding sampling at “unsociable” hours.
1432-1041
14321041
Springer
shingle_catch_all_4 Suarez-Kurtz, G.
Vicente, F. L.
Ponte, C. G.
Buy, V. L. M.
Struchiner, C. J.
Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine
Key words Amlodipine
Limited-sampling models
Pharmacokinetics
Key words Amlodipine
Limited-sampling models
Pharmacokinetics
Abstract Objective: Develop and validate limited-sampling strategy (LSS) models for estimating the area under the plasma concentration versus time curve (AUC) of amlodipine, using data from a bioequivalence study. Methods: Sixteen healthy volunteers received single 5-mg oral doses of amlodipine, as reference or test formulation, at a 14-day interval, in a randomized, crossover protocol. Plasma concentrations of amlodipine (n = 288), measured by mass spectrometry, were used to develop LSS models. Results: Linear regression analysis of the AUC0–72 and a “jack-knife” validation procedure revealed that LSS models based on two sampling times (12 h and 48 h) predict accurately (R2 = 0.99; bias〈0.01%; precision = 0.03%) the AUC0–72 of amlodipine for each formulation. Validation tests indicate that the 2-point LSS model developed for the reference formulation predicts accurately (R2〉0.90): (a) the individual AUC0–72 for the test formulation in the same group of volunteers; (b) the individual AUC0–72 for the same reference formulation in another bioequivalence study in Brazilian volunteers; (c) the average AUC0–72 reported in seven additional international studies performed under protocols similar to the present investigation; (d) the individual AUC0–72 corresponding to concentration data points provided by a first-order compartmental pharmacokinetic model, when the relative values of either the absorption rate (K abs) or the bioavailability (F) model parameters were set at 0.85 or 0.6, of their respective original values. Conclusions: The 2-point LSS models developed in the current study predict accurately the AUC of amlodipine under a variety of experimental conditions and, thus, may be valuable for exploring the relationships between the pharmacokinetics and pharmacodynamics of this calcium antagonist, at reduced costs of sample acquisition and analysis, and avoiding sampling at “unsociable” hours.
1432-1041
14321041
Springer
shingle_title_1 Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine
shingle_title_2 Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine
shingle_title_3 Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine
shingle_title_4 Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine
sigel_instance_filter dkfz
geomar
wilbert
ipn
albert
fhp
source_archive Springer Online Journal Archives 1860-2000
timestamp 2024-05-06T09:38:19.269Z
titel Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine
titel_suche Limited-sampling strategy models for estimating the area under the plasma concentration–time curve for amlodipine
topic V
WW-YZ
uid nat_lic_papers_NLM202481352