Utility of Sparse Concentration Sampling for Citalopram in Elderly Clinical Trial Subjects

摘要: The objective of this study was to evaluate whether the disposition selective serotonin reuptake inhibitor, citalopram, could be robustly captured using 1 2 concentration samples per subject in 106 patients participating clinical trials. Nonlinear mixed-effects modeling used pharmacokinetic parameters describing citalopram's disposition. Both a prior established 2-compartment model and de novo 1-compartment were used. Covariates assessed concomitant medications, race, sex, age (22-93 years), weight. affecting separately then combined stepwise manner. Pharmacokinetic characteristics citalopram well sparse sampling design. Two covariates (age weight) had significant effect on clearance volume distribution both 1- models. Clearance decreased 0.23 L/h for every year increased 0.14 kilogram body It concluded that hyper-sparse designs are adequate support population analysis clinically treated populations. This is particularly valuable populations such as elderly, who not typically available studies.