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Pharmacokinetic Variability (pharmacokinetic + variability)
Selected AbstractsApplication of pharmacokinetic modelling to the routine therapeutic drug monitoring of anticancer drugsFUNDAMENTAL & CLINICAL PHARMACOLOGY, Issue 4 2002Annick Rousseau Abstract Over the last 10 years, proofs of the clinical interest of therapeutic drug monitoring (TDM) of certain anticancer drugs have been established. Numerous studies have shown that TDM is an efficient tool for controlling the toxicity of therapeutic drugs, and a few trials have even demonstrated that it can improve their efficacy. This article critically reviews TDM tools based on pharmacokinetic modelling of anticancer drugs. The administered dose of anticancer drugs is sometimes adjusted individually using either a priori or a posteriori methods. The most frequent clinical application of a priori formulae concerns carboplatin and allows the computation of the first dose based on biometrical and biological data such as weight, age, gender, creatinine clearance and glomerular filtration rate. A posteriori methods use drug plasma concentrations to adjust the subsequent dose(s). Thus, nomograms allowing dose adjustment on the basis of blood concentration are routinely used for 5-fluorouracil given as long continuous infusions. Multilinear regression models have been developed, for example for etoposide, doxorubicin, carboplatin, cyclophosphamide and irinotecan, to predict a single exposure variable [such as area under concentration,time curve (AUC)] from a small number of plasma concentrations obtained at predetermined times after a standard dose. These models can only be applied by using the same dose and schedule as the original study. Bayesian estimation offers more flexibility in blood sampling times and, owing to its precision and to the amount of information provided, is the method of choice for ensuring that a given patient benefits from the desired systemic exposure. Unlike the other a posteriori methods, Bayesian estimation is based on population pharmacokinetic studies and can take into account the effects of different individual factors on the pharmacokinetics of the drug. Bayesian estimators have been used to determine maximum tolerated systemic exposure thresholds (e.g. for topotecan or teniposide) as well as for the routine monitoring of drugs characterized by a very high interindividual pharmacokinetic variability such as methotrexate or carboplatin. The development of these methods has contributed to improving cancer chemotherapy in terms of patient outcome and survival and should be pursued. [source] Smoking behaviour modulates pharmacokinetics of orally administered clopidogrelJOURNAL OF CLINICAL PHARMACY & THERAPEUTICS, Issue 4 2008A.-M. Yousef PhD Summary Background and objectives:, Clopidogrel is an important antiplatelet drug that is effective in preventing thrombotic events, especially for patients undergoing percutaneous coronary intervention. The therapeutic usefulness of clopidogrel has been limited by documented inter-individual heterogeneity in platelet inhibition, which may be attributable to known clopidogrel pharmacokinetic variability. The objective of this study was to assess the influence of smoking cigarettes and abnormal body weight on the pharmacokinetics of clopidogrel. Methods:, Seventy-six healthy adult male volunteers were selected randomly. Each subject received a single 75 mg oral dose of clopidogrel after overnight fast. Clopidogrel carboxylate plasma levels were measured and non-compartmental analysis was used to determine peak plasma concentration (Cmax), time to peak plasma concentration (Tmax), elimination half-life (t1/2e), and area under the curve (AUC0,,). Results:, One-third of volunteers were smokers (n = 27) and one-half had abnormal body weight (n = 39). Smokers had lower AUC0,, (smokers: 6·24 ± 2·32 ,g/h/mL vs. non-smokers: 8·93 ± 3·80 ,g/h/mL, P < 0·001) and shorter half-life (smokers: 5·46 ± 2·99 vs. non-smokers: 8·43 ± 4·26, P = 0·001). Smoking behaviour had no influence on Cmax (P = 0·3) and Tmax (P = 0·7). There was no statistically significant difference in Cmax, AUC0,,, Tmax and t1/2e between volunteers with abnormal body weight and normal body weight. However the difference in body weight of the two groups was relatively narrow (mean ± SE; 26·93 ± 0·16 vs. 23·11 ± 0·27). In general, the pharmacokinetic parameters were characterized by considerable inter-individual differences (Cmax = 3·09 ± 0·99 ,g/mL, CV = 32%), (Tmax =0·76 ± 0·24 h, CV = 31·6%), (AUC0,, = 7·98 ± 3·58 ,g/h/mL, CV = 44·8%), and (t1/2e = 7·38 ± 4·10 h, CV = 55·6%). Conclusion:, Smoking is a significant factor affecting the pharmacokinetics of clopidogrel, following administration of a single 75 mg dose in healthy young volunteers. The study supports smoking-cessation recommendations. Further studies are required to evaluate the influence of smoking and body weight on the pharmacokinetics of the active metabolite of clopidogrel and on the clinical effects of any differences observed. [source] Individualized population pharmacokinetic model with limited sampling for cyclosporine monitoring after liver transplantation in clinical practiceALIMENTARY PHARMACOLOGY & THERAPEUTICS, Issue 10 2007P. LANGERS Summary Background, We recently developed and validated limited sampling models (LSMs) for cyclosporine monitoring after orthotopic liver transplantation based on individualized population pharmacokinetic models with Bayesian modelling. Aim, To evaluate LSM in practice, and to seek optimal balance between benefit and discomfort. Methods, In 30 stable patients, more than 6 months after orthotopic liver transplantation, previously switched from trough- to 2 h post-dose (C2)-monitoring, we switched to 3-monthly LSM 0,1,2,3 h-monitoring. During 18 months we evaluated dose, creatinine clearance, calculated area under the curve, intra-patient pharmacokinetic variability and ability to assess systemic exposure by several previously validated LSMs. Results, Within patients, there was variability of cyclosporine-area under the curve with the same dose (CV of 15%). Compared to C2-monitoring, there was no significant difference in dose (P = 0.237), creatinine clearance (P = 0.071) and number of rejections. Some models showed excellent correlation and precision with LSM 0,1,2,3 h comparing area under the curves (0,2 h: r2 = 0.88; 0,1,3 h: r2 = 0.91; 0,2,3 h: r2 = 0.92, all P < 0.001) with no difference in advised dose. Conclusions, The limited sampling model, with only trough- and 2-h sampling, yields excellent accuracy and assesses systemic exposure much better than C2 with less bias and greater precision. Considering the calculated intra-patient variability, more precision is redundant, so LSM 0,2 h seems the optimal way of cyclosporine-monitoring. [source] Impact of pharmacokinetics and pharmacogenetics on the efficacy of pranlukast in Japanese asthmaticsRESPIROLOGY, Issue 6 2009Koichiro ASANO ABSTRACT Background and objective: Wide inter-individual variability in therapeutic effects limits the efficacy of leukotriene (LT) receptor antagonists in the treatment of asthma. We have reported that genetic variability in the expression of LTC4 synthase is associated with responsiveness to pranlukast in Japanese asthmatic patients. However, the effects of pharmacokinetic variability are less well known. This was an analysis of the pharmacokinetics of pranlukast in a population of adult asthmatics, and its effect on clinical responses. Other factors that may be related to the therapeutic effects of pranlukast, including LTC4 synthase gene polymorphisms, were also investigated. Methods: The population pharmacokinetics of pranlukast was analysed in a one-compartment model, using data collected in 50 Japanese adults with moderate to severe asthma, who were treated with pranlukast, 225 mg bd for 4 days. In 32 of these patients, in whom the clinical response to pranlukast (increase in FEV1 after 4 weeks of treatment) was measured in a previous study, a combined pharmacokinetic and pharmacogenetic analysis was performed. Results: Using the population pharmacokinetic model, the estimated the mean oral clearance (CL/F) of pranlukast was 16.4 L/h, and the inter-individual variability was 30.1%. Univariate and multivariate analyses showed that LTC4 synthase polymorphisms, but not the CL/F of the drug, predicted an improvement in pulmonary function with pranlukast treatment (P < 0.05). Conclusions: There was marked inter-individual variability in the pharmacokinetics of pranlukast among adult asthmatics, but this had little impact on the clinical effectiveness of the drug. [source] Pharmacokinetics of riluzole: evidence for glucuronidation as a major metabolic pathway not associated with UGT1A1 genotypeBIOPHARMACEUTICS AND DRUG DISPOSITION, Issue 3 2008H. J. M. van Kan Abstract Pharmacokinetic studies of riluzole show a large inter-individual variability of the drug's clearance and serum concentrations. Optimizing the individual dosage of riluzole may have the potential to improve the effect of riluzole treatment on survival of patients with amyotrophic lateral sclerosis (ALS). Limited data are available on the in vivo metabolic elimination of riluzole. From in vitro experiments, CYP1A2 seems to be mainly involved in riluzole clearance. However, in vitro studies suggest that formation of riluzole-glucuronide plays a role and may determine the drug's pharmacokinetic variability in patients to some extent. In the current study the formation of riluzole-glucuronide was examined in amyotrophic lateral sclerosis (ALS) patients. It also aimed at relating glucuronidation of riluzole to differential UGT1A1*28 genotypes. The formation of riluzole-glucuronide was confirmed in serum from a group of 14 ALS patients taking riluzole. Riluzole-glucuronide concentrations were positively associated with those of riluzole. In a separate group of 131 ALS patients taking riluzole, the UGT1A1*28 genotype was not associated with trough or peak serum concentrations of riluzole. This study provides evidence that the in vivo metabolic elimination of riluzole in ALS patients involves glucuronidation. The results do not indicate that glucuronidation of riluzole highly contributes to the drug's inter-individual pharmacokinetic variability. Copyright © 2007 John Wiley & Sons, Ltd. [source] Population pharmacokinetics of mycophenolic acid in children and young people undergoing blood or marrow and solid organ transplantationBRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 4 2010Lihua Zeng WHAT IS ALREADY KNOWN ABOUT THIS PROJECT? , Mycophenolate mofetil (MMF) is an immunosuppressant drug used for the treatment and prevention of graft vs. host disease in blood or marrow transplantation and acute graft rejection in solid organ transplantation. , Mycophenolic acid (MPA) pharmacokinetics have not been thoroughly studied in paediatric blood or marrow transplant recipients and guidance for optimal dosing of mycophenolic acid in children is lacking. , Mycophenolic acid exhibits considerable inter- and intra-patient pharmacokinetic variability in adults and paediatric transplant recipients. , The AUC of mycophenolic acid over a 12 h dose interval at steady-state is generally agreed to be the most reliable metric associated with the risk of acute rejection. , Population pharmacokinetic analysis can utilize concentration information from both intensive sampling and sparse sampling to provide pharmacokinetic parameter estimates, estimates of inter- individual and intra-individual variability in these parameters and allows patient characteristics explaining inter-individual variability to be quantified. WHAT THIS STUDY ADDS , This study is one of the first investigations in which a population pharmacokinetic modelling approach was applied to assess the pharmacokinetics of both intravenous and oral MMF in children and young people undergoing blood or marrow and solid organ transplantation. , Bodyweight and concomitant ciclosporin were found to influence MPA pharmacokinetics. , This study evaluated current dosing strategies and found that they may be suboptimal for children weighing less than 10 kg. AIMS To characterize the population pharmacokinetics of mycophenolic acid (MPA) and evaluate dose regimens using a simulation approach and accepted therapeutic drug monitoring targets in children and young people undergoing blood or marrow, kidney and liver transplantation. METHODS MPA concentration,time data were collected using an age specific sampling protocol over 12 h. Some patients provided randomly timed but accurately recorded blood samples. Total and unbound MPA were measured by HPLC. NONMEM was employed to analyze MPA pharmacokinetic data. Simulations (n= 1000) were conducted to assess the suitability of the MPA dose regimens to maintain total MPA AUC(0,12 h) within the range 30 and 60 mg l,1 h associated with optimal outcome. RESULTS A two-compartment pharmacokinetic model with first-order elimination best described MPA concentration,time data. Population mean estimates of MPA clearance, inter-compartmental clearance, volumes of distribution in the central and peripheral compartments, absorption rate constant and bioavailability were 6.42 l h,1, 3.74 l h,1, 7.24 l, 16.8 l, 0.39 h,1 and 0.48, respectively. Inclusion of bodyweight and concomitant ciclosporin reduced the inter-individual variability in CL from 54.3% to 31.6%. Children with a bodyweight of 10 kg receiving standard MPA dose regimens achieve an MPA AUC below the target range suggesting they may be at a greater risk of acute rejection. CONCLUSIONS The population pharmacokinetic model for MPA can be used to explore dosing guidelines for safe and effective immunotherapy in children and young people undergoing transplantation. [source] Vancomycin dosing assessment in intensive care unit patients based on a population pharmacokinetic/pharmacodynamic simulationBRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 2 2010Natalia Revilla WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT , Despite the frequent use of vancomycin in intensive care unit (ICU) patients, few studies aimed at characterizing vancomycin population pharmacokinetics have been performed in this critical population. , Population pharmacokinetics coupled with pharmacodynamic analysis, in order to optimize drug exposure and hence antibacterial effectiveness, has been little applied in these specific patients. WHAT THIS STUDY ADDS , Our population model characterized the pharmacokinetic profile of vancomycin in adult ICU patients, higher distribution volume values (V) being observed when the patient's serum creatinine (CrSe) was greater than 1 mg dl,1. , Age and creatinine clearance (CLcr) were identified as the main covariates explaining the pharmacokinetic variability in vancomycin CL. , Our pharmacokinetic/pharmacodynamic (PK/PD) simulation should aid clinicians to select initial vancomycin doses that will maximize the rate of response in the ICU setting, taking into account the patient's age and renal function as well as the susceptibility of Staphylococcus aureus. AIM To estimate the vancomycin pharmacokinetic profile in adult ICU patients and to assess vancomycin dosages for increasing the likelihood of optimal exposure. METHODS Five hundred and sixty-nine concentration,time data from 191 patients were analysed using a population pharmacokinetic approach (NONMENÔ). External model evaluation was made in 46 additional patients. The 24 h area under the concentration,time curve (AUC(0,24 h)) was derived from the final model. Minimum inhibitory concentration (MIC) values for S. aureus were obtained from the EUCAST database. AUC(0,24 h) : MIC , 400 was considered as PK/PD efficacy index. The probability of different dosages attaining the target considering different strains of S. aureus and patient subgroups was estimated with Monte Carlo simulation. RESULTS Vancomycin CL showed a significant dependence on patient age and renal function whereas CrSe > 1 mg dl,1 increased V more than twofold. For our representative ICU patient, 61 years, 73 kg, CrSe= 1.4 mg dl,1, measured CLCr= 74.7 ml min,1, the estimated values were CL = 1.06 ml min,1 kg,1 and V= 2.04 l kg,1. The cumulative fraction of response for a standard vancomycin dose (2 g day,1) was less than 25% for VISA strains, and 33% to 95% for susceptible S. aureus, depending on patient characteristics. CONCLUSIONS Simulations provide useful information regarding the initial assessment of vancomycin dosing, the conventional dosing regimen probably being suboptimal in adult ICU patients. A graphic approach provides the recommended dose for any selected probability of attaining the PK/PD efficacy target or to evaluate the cumulative fraction of response for any dosing regimen in this population. [source] Population pharmacokinetics of sirolimus in de novo Chinese adult renal transplant patientsBRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 1 2009Zheng Jiao WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT? , Sirolimus is an immunosuppressive agent used for the prophylaxis of renal allograft rejection. , Several conventional pharmacokinetic and population pharmacokinetic studies have been conducted to assess the pharmacokinetic characteristics of sirolimus in White or African-American recipients. WHAT THIS STUDY ADDS? , The population pharmacokinetics of sirolimus in Chinese adult renal transplant recipients was characterized for the first time. , New drug,drug interactions between herbal medicines and sirolimus were identified as the covariates on sirolimus clearance. AIMS This study was aimed at determining the population pharmacokinetics of sirolimus and identifying factors that explain pharmacokinetic variability in de novo Chinese adult renal transplant patients. METHODS Data were retrospectively extracted from a formal multicentre clinical trial, which was originally designed to evaluate the safety and efficacy of ciclosporin dose reduction and ciclosporin elimination in patients receiving sirolimus. All patients received 12-month treatment, i.e. induction therapy with ciclosporin, sirolimus and corticosteroids during the first 3 months followed by either ciclosporin dose reduction or ciclosporin discontinuation thereafter. Eight-hundred and four sirolimus trough blood concentrations (C0) from 112 patients were used to develop a population pharmacokinetic model using the nonmem program. A one-compartment model with first-order absorption and elimination was selected as the base model. The influence of demographic characteristics, biochemical and haematological indices, ciclosporin daily dose, ciclosporin C0 as well as other commonly used co-medications were explored. RESULTS The typical values with interindividual variability for apparent clearance (CL/F) and apparent volume of distribution (V/F) were 10.1 l h,1 (23.8%) and 3670 l (56.7%), respectively. The residual variability was 29.9%. CL/F decreased significantly with silymarin or glycyrrhizin co-therapy in hepatically impaired patients, and with increasing total cholesterol levels or ciclosporin C0. Moreover, CL/F increased nonlinearly with increasing sirolimus daily dose. The median parameter estimates from a nonparametric bootstrap procedure were comparable and within 5% of the estimates from nonmem. CONCLUSIONS These results provide important information for clinicians to optimize sirolimus regimens in Chinese renal transplant patients. [source] Minimal effect of MDR1 and CYP3A5 genetic polymorphisms on the pharmacokinetics of indinavir in HIV-infected patientsBRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 3 2007Caroline Solas What is already known about this subject ,,Before this study, few data were available on the potential effect of genetic variants of P-glycoprotein or the CYP3A5 enzyme on the pharmacokinetic variability of protease inhibitors (PI). ,,MDR1 C3435T polymorphism was often linked with the pharmacokinetic variability of nelfinavir. CYP3A5*3 polymorphism was linked with the pharmacokinetic variability of calcineurin inhibitors and was therefore strongly suspected of being one of the key factors in the pharmacokinetic variability of other CYP3A susbtrates. What this study adds ,,Our results showed that both MDR1 C3435T and CYP3A5*3 polymorphisms are involved in the pharmacokinetic variability of the absorption or elimination of indinavir, but probably jointly with other factors. ,,The potent CYP3A inhibitory effect of ritonavir may hide the variability linked to genetic differences in the CYP3A5 gene, thereby reducing the overall pharmacokinetic variability of the boosted protease inhibitor. ,,Genotyping MDR1 and/or CYP3A5 does not appear to be a clinically relevant factor in optimizing protease inhibitor boosted regimens. Aims The protease inhibitor indinavir is characterized by an important interindividual pharmacokinetic variability, which results from the actions of the metabolizing enzymes cytochrome P450 (CYP) 3A and the multidrug efflux pump P-glycoprotein (P-gp), encoded by MDR1. Using a population pharmacokinetic approach, we investigated the effect of several MDR1 and CYP3A5 polymorphisms on the pharmacokinetic parameters of indinavir in HIV-infected patients. Methods Twenty-eight patients receiving indinavir alone or together with ritonavir were included. Indinavir pharmacokinetics were studied over a 12 h interval. Genetic polymorphisms were assessed by real-time PCR assays and direct sequencing for MDR1 and by PCR-SSCP analysis for CYP3A5. Results The pharmacokinetics of indinavir were best described by a one-compartment model with first-order absorption. In the final model, the MDR1 C3435T genotype and ritonavir were identified as statistically significant covariates (P , 0.001) for the absorption rate constant (95% confidence interval on the difference between CC and CT genotype 0.37, 5.53) and for clearance (95% confidence interval on the difference 5.8, 26.2), respectively. Patients with the CYP3A5*3/*3 genotype receiving indinavir alone had a 31% decrease in the indinavir clearance rate compared with patients carrying the CYP3A5*1/*3 genotype. Conclusions The MDR1 C3435T genotype affects the absorption constant of indinavir suggesting that P-gp may be implicated in its pharmacokinetic variability. Through its inhibition of CYP3A and P-gp, ritonavir could attenuate the pharmacokinetic variability linked to genetic differences, reducing significantly the interindividual variability of indinavir. However, genotyping MDR1 and/or CYP3A5 to optimize protease inhibitor boosted regimens does not seem clinically relevant. [source] Influence of CYP2C9 and CYP2C19 genetic polymorphisms on pharmacokinetics of gliclazide MR in Chinese subjectsBRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 1 2007Yifan Zhang What is already known about this subject ,,Gliclazide has been considered metabolized by CYP2C9. ,,Its modified release formulation, gliclazide MR, shows low pharmacokinetic variability in Whites but high variability in Chinese. What this study adds ,,The results of this study show that the pharmacokinetics of gliclazide MR are affected mainly by CYP2C19 genetic polymorphism instead of CYP2C9 genetic polymorphism. ,,CYP2C19 genetic polymorphism might be responsible for the high pharmacokinetic variability of gliclazide MR in Chinese. Aims To investigate the influence of CYP2C9 and CYP2C19 genetic polymorphisms on the pharmacokinetics of gliclazide modified release (MR) in healthy Chinese subjects. Methods In a single-dose pharmacokinetic study, 24 healthy male subjects with various CYP2C9 and CYP2C19 genotypes received an oral dose of 30 mg gliclazide MR and plasma was sampled for 72 h postdose. In a multiple-dose pharmacokinetic study, 17 other CYP2C9*1 homozygotes with various CYP2C19 genotypes received 30 mg gliclazide MR once daily for 6 days and plasma was sampled after the last dose. The plasma concentrations of gliclazide were measured using a validated LC/MS/MS method. CYP2C9 and CYP2C19 genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism analysis. Results In the single-dose study, no significant difference in any pharmacokinetic parameters was found in CYP2C9*1/*1, *1/*3 and *1/*13 subjects. In contrast, the AUC0,, of gliclazide was significantly increased by 3.4-fold [95% confidence interval (CI) 2.5, 4.7; P < 0.01] in CYP2C19 poor metabolizer (PM) subjects compared with CYP2C19*1 homozygotes. The half-life (t1/2) was prolonged from 15.1 to 44.5 h (P < 0.01). Similar differences were found in the multiple-dose study. The parameters of gliclazide AUCss, AUC0,, and Cmax were 3.4-fold (95% CI 2.9, 4.0), 4.5-fold (95% CI 3.8, 5.4) and 2.9-fold (95% CI 2.4, 3.4) increased (P < 0.01) in CYP2C19 PM subjects, respectively, compared with CYP2C19*1 homozygotes, and t1/2 was increased from 13.5 to 24.6 h (P < 0.01). Conclusions The pharmacokinetics of gliclazide MR are affected mainly by CYP2C19 genetic polymorphism instead of CYP2C9 genetic polymorphism. [source] Population pharmacokinetics of imatinib and the role of ,1 -acid glycoproteinBRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 1 2006N. Widmer Aims The aims of this observational study were to assess the variability in imatinib pharmacokinetics and to explore the relationship between its disposition and various biological covariates, especially plasma ,1 -acid glycoprotein concentrations. Methods A population pharmacokinetic analysis was performed using NONMEM based on 321 plasma samples from 59 patients with either chronic myeloid leukaemia or gastrointestinal stromal tumours. The influence of covariates on oral clearance and volume of distribution was examined. Furthermore, the in vivo intracellular pharmacokinetics of imatinib was explored in five patients. Results A one-compartment model with first-order absorption appropriately described the data, giving a mean (± SEM) oral clearance of 14.3 l h,1 (± 1.0) and a volume of distribution of 347 l (± 62). Oral clearance was influenced by body weight, age, sex and disease diagnosis. A large proportion of the interindividual variability (36% of clearance and 63% of volume of distribution) remained unexplained by these demographic covariates. Plasma ,1 -acid glycoprotein concentrations had a marked influence on total imatinib concentrations. Moreover, we observed an intra/extracellular ratio of 8, suggesting substantial uptake of the drug into the target cells. Conclusion Because of the high pharmacokinetic variability of imatinib and the reported relationships between its plasma concentration and efficacy and toxicity, the usefulness of therapeutic drug monitoring as an aid to optimizing therapy should be further investigated. Ideally, such an approach should take account of either circulating ,1 -acid glycoprotein concentrations or free imatinib concentrations. [source] Antifungal pharmacokinetics and pharmacodynamics: bridging from the bench to bedsideCLINICAL MICROBIOLOGY AND INFECTION, Issue 7 2009W. W. Hope Abstract This review considers a way in which experimental data can be used to identify safe and effective antifungal regimens for humans. The process begins with experimental models of invasive fungal infections that enable definition of optimal dosages and schedules of antifungal drug administration to be defined. These preclinical models also enable the identification of drug exposure targets that are associated with therapeutic outcomes of interest. Human pharmacokinetic variability results in a considerable range of drug exposures following the use of fixed antifungal drug regimens. This variability can be quantified using population pharmacokinetic modeling techniques. Monte Carlo simulation can then be used to simulate pharmacokinetic variability and thereby estimate the proportion of patients with a therapeutic outcome of interest. Effective and safe regimens can thus be studied appropriately in clinical settings. This approach can, and should, be used to optimize antifungal therapy for a large number of clinical scenarios. [source] Therapeutic drug monitoring of itraconazole and the relevance of pharmacokinetic interactionsCLINICAL MICROBIOLOGY AND INFECTION, Issue 2006A. Domínguez-Gil Hurlé Abstract A review of the pharmacological aspects of greatest relevance in relation to the monitoring of itraconazole serum levels is presented in this article. The main causes of pharmacokinetic variability, e.g., poor aqueous solubility, the presystemic first-pass effect with the involvement of transporters such as P-glycoprotein, the high extent of metabolism mediated by the CYP450 system and a high probability of pharmacological interactions, are documented and discussed. The pharmacokinetic,pharmacodynamic criteria used to optimise antibiotic therapy, as well as their application to antifungal drugs, are also discussed. Data concerning the breakpoints established for the minimum serum concentrations of itraconazole are included, and the most relevant justifications for drug monitoring are cited. [source] Review of select transplant subpopulations at high risk of failure from standard immunosuppressive therapyCLINICAL TRANSPLANTATION, Issue 5 2000Mark H Deierhoi Despite improvements in short-term graft and patient survival rates for solid organ transplants, certain subgroups of transplant recipients experience poorer clinical outcome compared to the general population. Groups including pediatrics, African-Americans, diabetics, cystic fibrosis patients, and pregnant women require special considerations when designing immunosuppressive regimens that optimize transplant outcomes. Problems specific to pediatric transplant recipients include altered pharmacokinetics of immunosuppressive drugs, such as cyclosporine (CsA) and tacrolimus (poor absorption, increased metabolism, rapid clearance), the need to restore growth post-transplantation, and a high incidence of drug-related adverse effects. African-Americans have decreased drug absorption and bioavailability, high immunologic responsiveness, and a high incidence of post-transplant diabetes mellitus. Diabetics and cystic fibrosis patients exhibit poor absorption of immunosuppressive agents, which may lead to underimmunosuppression and subsequent graft rejection. Pregnant women undergo physiologic changes that can alter the pharmacokinetics of immunosuppressives, thus requiring careful clinical management to minimize the risks of either under- or overimmunosuppression to mother and child. To achieve an optimal post-transplant outcome in these high-risk patients, the problems specific to each group must be addressed, and immunosuppressive therapy individualized accordingly. Drug formulation greatly impacts upon pharmacokinetics and the resultant level of immunosuppression. Thus, a formulation with improved absorption (e.g., CsA for microemulsion), higher bioavailability, and less pharmacokinetic variability may facilitate patient management and lead to more favorable outcomes, especially in groups demonstrating low and variable bioavailability. Other strategies aimed at improving transplant outcome include the use of higher immunosuppressive doses, different combinations of immunosuppressive agents, more frequent monitoring, and management of concurrent disease states. [source] | ||||||||||