Martin G Kees, Iris K Minichmayr, Stefan Moritz, Stefanie Beck, Sebastian G Wicha, Frieder Kees, Charlotte Kloft, Thomas Steinke
{"title":"Population pharmacokinetics of meropenem during continuous infusion in surgical ICU patients.","authors":"Martin G Kees, Iris K Minichmayr, Stefan Moritz, Stefanie Beck, Sebastian G Wicha, Frieder Kees, Charlotte Kloft, Thomas Steinke","doi":"10.1002/jcph.600","DOIUrl":null,"url":null,"abstract":"<p><p>Continuous infusion of meropenem is a candidate strategy for optimization of its pharmacokinetic/pharmacodynamic profile. However, plasma concentrations are difficult to predict in critically ill patients. Steady-state concentrations of meropenem were determined prospectively during continuous infusion in 32 surgical ICU patients (aged 21-85 years, body weight 55-125 kg, APACHE II 5-29, measured creatinine clearance 22.7-297 mL/min). Urine was collected for the quantification of renal clearance of meropenem and creatinine. Cystatin C was measured as an additional marker of renal function. Population pharmacokinetic models were developed using NONMEM(®) , which described total meropenem clearance and its relationship with several estimates of renal function (measured creatinine clearance CLCR , Cockcroft-Gault formula CLCG , Hoek formula, 1/plasma creatinine, 1/plasma cystatin C) and other patient characteristics. Any estimate of renal function improved the model performance. The strongest association of clearance was found with CLCR (typical clearance = 11.3 L/h × [1 + 0.00932 × (CLCR - 80 mL/min)]), followed by 1/plasma cystatin C; CLCG was the least predictive covariate. Neither age, weight, nor sex was found to be significant. These models can be used to predict dosing requirements or meropenem concentrations during continuous infusion. The covariate CLCR offers the best predictive performance; if not available, cystatin C may provide a promising alternative to plasma creatinine. </p>","PeriodicalId":48908,"journal":{"name":"Journal of Clinical Pharmacology","volume":"56 3","pages":"307-15"},"PeriodicalIF":2.9000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/jcph.600","citationCount":"36","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Pharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/jcph.600","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2015/9/18 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 36
Abstract
Continuous infusion of meropenem is a candidate strategy for optimization of its pharmacokinetic/pharmacodynamic profile. However, plasma concentrations are difficult to predict in critically ill patients. Steady-state concentrations of meropenem were determined prospectively during continuous infusion in 32 surgical ICU patients (aged 21-85 years, body weight 55-125 kg, APACHE II 5-29, measured creatinine clearance 22.7-297 mL/min). Urine was collected for the quantification of renal clearance of meropenem and creatinine. Cystatin C was measured as an additional marker of renal function. Population pharmacokinetic models were developed using NONMEM(®) , which described total meropenem clearance and its relationship with several estimates of renal function (measured creatinine clearance CLCR , Cockcroft-Gault formula CLCG , Hoek formula, 1/plasma creatinine, 1/plasma cystatin C) and other patient characteristics. Any estimate of renal function improved the model performance. The strongest association of clearance was found with CLCR (typical clearance = 11.3 L/h × [1 + 0.00932 × (CLCR - 80 mL/min)]), followed by 1/plasma cystatin C; CLCG was the least predictive covariate. Neither age, weight, nor sex was found to be significant. These models can be used to predict dosing requirements or meropenem concentrations during continuous infusion. The covariate CLCR offers the best predictive performance; if not available, cystatin C may provide a promising alternative to plasma creatinine.
期刊介绍:
The Journal of Clinical Pharmacology (JCP) is a Human Pharmacology journal designed to provide physicians, pharmacists, research scientists, regulatory scientists, drug developers and academic colleagues a forum to present research in all aspects of Clinical Pharmacology. This includes original research in pharmacokinetics, pharmacogenetics/pharmacogenomics, pharmacometrics, physiologic based pharmacokinetic modeling, drug interactions, therapeutic drug monitoring, regulatory sciences (including unique methods of data analysis), special population studies, drug development, pharmacovigilance, womens’ health, pediatric pharmacology, and pharmacodynamics. Additionally, JCP publishes review articles, commentaries and educational manuscripts. The Journal also serves as an instrument to disseminate Public Policy statements from the American College of Clinical Pharmacology.