Estimation of the absorption rate constant for a drug subject to non-linear elimination: Comparison on non-linear regression and the Cmax, Tmax approach
{"title":"Estimation of the absorption rate constant for a drug subject to non-linear elimination: Comparison on non-linear regression and the Cmax, Tmax approach","authors":"Nobuyoshi Kaneniwa, Tomoo Funaki, Mitsuru Hiura","doi":"10.1016/0378-5173(86)90003-7","DOIUrl":null,"url":null,"abstract":"<div><p>A method was developed for calculating the absorption rate constant (k<sub>a</sub>) of drugs whose elimination involves a capacity-limited process. Pidgeon and Pitlick reported a method for calculating k<sub>a</sub> of drugs whose disposition obeys a first-order rate process. Their method obviates the need for large numbers of samples in the absorption phase and is less influenced by errors in data points prior to the maximum plasma concentration where the rate of change of concentration is rapid and error is likely. In the present study, a method for calculating the absorption rate constant of drugs whose elimination involves a capacity-limited process was designed based on Pidgeon and Pitlick's method, and the method was tested on theoretical data. On the comparison of k<sub>a</sub> obtained by nonlinear least-squares analysis with that obtained by the present method, the overall correlation for the fits obtained by non-linear least-squares analysis was superior. On the other hand, on the theoretical data (without error), the present method gave less percentage error in calculated k<sub>a</sub>, and a good correlation was obtained for the fits. Consequently, for the calculation of k<sub>a</sub> of drugs whose elimination involves Michaelis-Menten metabolism, the present method is convenient when relatively few sample points are available in the absorption phase.</p></div>","PeriodicalId":14187,"journal":{"name":"International Journal of Pharmaceutics","volume":"34 1","pages":"Pages 9-15"},"PeriodicalIF":5.3000,"publicationDate":"1986-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0378-5173(86)90003-7","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Pharmaceutics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0378517386900037","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
A method was developed for calculating the absorption rate constant (ka) of drugs whose elimination involves a capacity-limited process. Pidgeon and Pitlick reported a method for calculating ka of drugs whose disposition obeys a first-order rate process. Their method obviates the need for large numbers of samples in the absorption phase and is less influenced by errors in data points prior to the maximum plasma concentration where the rate of change of concentration is rapid and error is likely. In the present study, a method for calculating the absorption rate constant of drugs whose elimination involves a capacity-limited process was designed based on Pidgeon and Pitlick's method, and the method was tested on theoretical data. On the comparison of ka obtained by nonlinear least-squares analysis with that obtained by the present method, the overall correlation for the fits obtained by non-linear least-squares analysis was superior. On the other hand, on the theoretical data (without error), the present method gave less percentage error in calculated ka, and a good correlation was obtained for the fits. Consequently, for the calculation of ka of drugs whose elimination involves Michaelis-Menten metabolism, the present method is convenient when relatively few sample points are available in the absorption phase.
期刊介绍:
The International Journal of Pharmaceutics is the third most cited journal in the "Pharmacy & Pharmacology" category out of 366 journals, being the true home for pharmaceutical scientists concerned with the physical, chemical and biological properties of devices and delivery systems for drugs, vaccines and biologicals, including their design, manufacture and evaluation. This includes evaluation of the properties of drugs, excipients such as surfactants and polymers and novel materials. The journal has special sections on pharmaceutical nanotechnology and personalized medicines, and publishes research papers, reviews, commentaries and letters to the editor as well as special issues.