{"title":"新型氨基糖苷类药物、阿斯米星霉素和异帕霉素的群体药代动力学分析及贝叶斯预测方法对个体药物清除率的近似评价。","authors":"T Uematsu","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Pharmacokinetic data obtained from healthy subjects after a single i.v. infusion over 30 min of either astromicin (AST) or isepamicin (ISP), the newly developed aminoglycoside antibiotics, were analyzed by a computer program, NONMEM, together with those in patients having impaired renal functions of various degrees, which were cited from the literature. A two-compartment open model was utilized for the analysis, assuming that the total body clearance of drug (ClB) is linearly correlated with endogeneous creatinine clearance (Clcr). By the analysis, it was found that the body weight explains some part of interindividual variability in ClB of ISP, although it did not hold true in the case of AST. For each drug, the means and variances of ClB and the distribution volume of central compartment, and only the means of two intercompartmental constants (K12 and K21), all of which were obtained by the NONMEM analysis, were implemented in a Bayesian prediction program for a microcomputer. This, thus, clarified a point as to when blood sample should be collected in order to get the best prediction of individual ClB with the use of the above Bayesian program and the measurement of drug concentration in the sampled blood as a feedback information. For this purpose, the drug concentrations in plasma obtained in the multiple-dose study of each drug, in which the drug was administered in healthy subjects as i.v. infusion over 1 h every 12 h for 4.5 days, were used.(ABSTRACT TRUNCATED AT 250 WORDS)</p>","PeriodicalId":13817,"journal":{"name":"International journal of clinical pharmacology, therapy, and toxicology","volume":"31 12","pages":"606-10"},"PeriodicalIF":0.0000,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Population pharmacokinetic analysis of new aminoglycosides, astromicin and isepamicin, and evaluation of Bayesian prediction method for approximation of individual clearance of drug.\",\"authors\":\"T Uematsu\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Pharmacokinetic data obtained from healthy subjects after a single i.v. infusion over 30 min of either astromicin (AST) or isepamicin (ISP), the newly developed aminoglycoside antibiotics, were analyzed by a computer program, NONMEM, together with those in patients having impaired renal functions of various degrees, which were cited from the literature. A two-compartment open model was utilized for the analysis, assuming that the total body clearance of drug (ClB) is linearly correlated with endogeneous creatinine clearance (Clcr). By the analysis, it was found that the body weight explains some part of interindividual variability in ClB of ISP, although it did not hold true in the case of AST. For each drug, the means and variances of ClB and the distribution volume of central compartment, and only the means of two intercompartmental constants (K12 and K21), all of which were obtained by the NONMEM analysis, were implemented in a Bayesian prediction program for a microcomputer. This, thus, clarified a point as to when blood sample should be collected in order to get the best prediction of individual ClB with the use of the above Bayesian program and the measurement of drug concentration in the sampled blood as a feedback information. For this purpose, the drug concentrations in plasma obtained in the multiple-dose study of each drug, in which the drug was administered in healthy subjects as i.v. infusion over 1 h every 12 h for 4.5 days, were used.(ABSTRACT TRUNCATED AT 250 WORDS)</p>\",\"PeriodicalId\":13817,\"journal\":{\"name\":\"International journal of clinical pharmacology, therapy, and toxicology\",\"volume\":\"31 12\",\"pages\":\"606-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of clinical pharmacology, therapy, and toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of clinical pharmacology, therapy, and toxicology","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Population pharmacokinetic analysis of new aminoglycosides, astromicin and isepamicin, and evaluation of Bayesian prediction method for approximation of individual clearance of drug.
Pharmacokinetic data obtained from healthy subjects after a single i.v. infusion over 30 min of either astromicin (AST) or isepamicin (ISP), the newly developed aminoglycoside antibiotics, were analyzed by a computer program, NONMEM, together with those in patients having impaired renal functions of various degrees, which were cited from the literature. A two-compartment open model was utilized for the analysis, assuming that the total body clearance of drug (ClB) is linearly correlated with endogeneous creatinine clearance (Clcr). By the analysis, it was found that the body weight explains some part of interindividual variability in ClB of ISP, although it did not hold true in the case of AST. For each drug, the means and variances of ClB and the distribution volume of central compartment, and only the means of two intercompartmental constants (K12 and K21), all of which were obtained by the NONMEM analysis, were implemented in a Bayesian prediction program for a microcomputer. This, thus, clarified a point as to when blood sample should be collected in order to get the best prediction of individual ClB with the use of the above Bayesian program and the measurement of drug concentration in the sampled blood as a feedback information. For this purpose, the drug concentrations in plasma obtained in the multiple-dose study of each drug, in which the drug was administered in healthy subjects as i.v. infusion over 1 h every 12 h for 4.5 days, were used.(ABSTRACT TRUNCATED AT 250 WORDS)