摘要:

Observational studies have documented that women take a variety of medications during pregnancy. It is well known that pregnancy can induce changes in the plasma concentrations of some drugs. The use of mechanistic-based approaches to drug interactions has significantly increased our ability to predict clinically significant drug interactions and improve clinical care. This same method can also be used to improve our understanding regarding the effect of pregnancy on pharmacokinetics of drugs.Limited  studies  suggest  bioavailability  of  drugs  is  not  altered  during pregnancy. Increased plasma volume and protein binding changes can alter the apparent volume of distribution (Vd) of drugs. Through changes in Vdand clearance, pregnancy can cause increases or decreases in the terminal elimination half-life of drugs. Depending on whether a drug is excreted unchanged by the kidneys or which metabolic isoenzyme is involved in the metabolism of a drug can determine whether or not a change in dosage is needed during pregnancy. The renal excretion of unchanged drugs is increased during pregnancy. The metabolism of drugs catalysed by select cytochrome P450 (CYP) isoenzymes (i.e. CYP3A4, CYP2D6 and CYP2C9) and uridine diphosphate glucuronosyltransferase (UGT) isoenzymes (i.e. UGT1A4 and UGT2B7) are increased during pregnancy. Dosages of drugs predominantly metabolised by these isoenzymes or excreted by the kidneys unchanged may need to be increased during pregnancy in order to avoid loss of efficacy. In contrast, CYP1A2 and CYP2C19 activity is decreased during pregnancy, suggesting that dosage reductions may be needed to minimise potential toxicity of their substrates.There are limitations to the available data. This analysis is based primarily on observational studies, many including small numbers of women. For some isoenzymes, the effect of pregnancy on only one drug has been evaluated. The full-time course of pharmacokinetic changes during pregnancy is often not studied. The effect of pregnancy on transport proteins is unknown. Drugs eliminated by non-CYP or non-UGT pathways or multiple pathways will need to be evaluated individually. In conclusion, by evaluating the pharmacokinetic data of a variety of drugs during pregnancy and using a mechanistic-based approach, we can start to predict the effect of pregnancy for a large number of clinically used drugs. However, because of the limitations, more clinical, evidence-based studies are needed to fully elucidate the effects of pregnancy on the pharmacokinetics of drugs.

ISSN:0312-5963    

出版商:ADIS    

年代:2005

数据来源: ADIS

摘要:

Antimicrobials are among the most important and commonly prescribed drugs in the management of critically ill patients. Selecting the appropriate antimicrobial at the commencement of therapy, both in terms of spectrum of activity and dose and frequency of administration according to concentration or time dependency, is mandatory in this setting. Despite appropriate standard dosage regimens, failure of the antimicrobial treatment may occur because of the inability of the antimicrobial to achieve adequate concentrations at the infection site through alterations in its pharmacokinetics due to underlying pathophysiological conditions.According to the intrinsic chemicophysical properties of antimicrobials, hydrophilic antimicrobials (β-lactams, aminoglycosides, glycopeptides) have to be considered at much higher risk of inter- and intraindividual pharmacokinetic variations than lipophilic antimicrobials (macrolides, fluoroquinolones, tetracyclines, chloramphenicol, rifampicin [rifampin]) in critically ill patients, with significant frequent fluctuations of plasma concentrations that may require significant dosage adjustments. For example, underexposure may occur because of increased volume of distribution (as a result of oedema in sepsis and trauma, pleural effusion, ascites, mediastinitis, fluid therapy or indwelling post-surgical drainage) and/or enhanced renal clearance (as a result of burns, drug abuse, hyperdynamic conditions during sepsis, acute leukaemia or use of haemodynamically active drugs). On the other hand, overexposure may occur because of a drop in renal clearance caused by renal impairment. Care with all these factors whenever choosing an antimicrobial may substantially improve the outcome of antimicrobial therapy in critically ill patients. However, since these situations may often coexist in the same patient and pharmacokinetic variability may be unpredictable, the antimicrobial policy may further benefit from real-time application of therapeutic drug monitoring, since this practice, by tailoring exposure to the individual patient, may consequently be helpful both in improving the outcome of antimicrobial therapy and in containing the spread of resistance in the hospital setting.

ISSN:0312-5963    

出版商:ADIS    

年代:2005

数据来源: ADIS

摘要:

The efficacy of HIV-1 protease inhibitors (PIs) as part of highly active antiretroviral therapy is now well established and has provided benefits to many patients with HIV infection. Atazanavir is a new azapeptide PI compound that was recently approved in the US and Europe. Atazanavir is recommended in combination with other antiretroviral agents for the treatment of HIV-1 infection.Atazanavir is rapidly absorbed and administration of a single dose of atazanavir with a light meal resulted in a 70% increase in area under the plasma concentration-time curve (AUC); therefore atazanavir should be taken with food. Atazanavir is 86% bound to human serum protein independently of concentration. Concentration in body fluids appeared to be lower than plasma concentration.Like other PIs, atazanavir is extensively metabolised by hepatic cytochrome P450 (CYP) 3A isoenzymes. The mean terminal elimination half-life in healthy volunteers was approximately 7 hours at steady state following administration of atazanavir 400mg daily with a light meal.When atazanavir 300mg was coadministered with ritonavir 100mg on a once-daily dosage regimen, atazanavir AUC from 0 to 24 hours and minimum plasma concentration were increased by 3- to 4-fold and approximately 10-fold, respectively, compared with atazanavir 300mg alone. Therefore, ritonavir boosted atazanavir regimen (ritonavir 100mg and atazanavir 300mg once daily) is increasingly favoured in some patients. Efavirenz, a potent CYP3A inducer, decreased atazanavir concentrations by 75% and, unexpectedly, tenofovir, a nucleotide reverse transcriptase inhibitor, decreased atazanavir concentrations by 25%.Average predose concentrations in HIV-infected patients who received atazanavir 400mg once daily were 273 ng/mL, which was believed to be several-fold higher than protein-binding corrected 50% inhibitory concentration of wild-type viruses. In HIV-infected patients who received once-daily ritonavir (100mg) boosted atazanavir (300mg), mean (±SD) trough concentration was 862 (±838) ng/mL.Several clinical trials showed the efficacy of atazanavir 400mg once daily with a nucleoside analogue backbone in antiretroviral-naive patients. The atazanavir 300/ritonavir 100mg once-daily combination coadministered with other antiretrovirals showed the efficacy of this strategy in patients receiving efavirenz or in moderately antiretroviral-experienced HIV-infected patients.Recommended once-daily doses of atazanavir taken with food are either 400mg or 300mg in combination with low dose ritonavir (100mg) in moderately antiretroviral-experienced patients. Major advantages of atazanavir to date are its simplicity of administration (once-daily administration) and its less undesirable effect on the lipid profiles in patients.

ISSN:0312-5963    

出版商:ADIS    

年代:2005

数据来源: ADIS

摘要:

BackgroundLean bodyweight (LBW) has been recommended for scaling drug doses. However, the current methods for predicting LBW are inconsistent at extremes of size and could be misleading with respect to interpreting weight-based regimens.ObjectiveThe objective of the present study was to develop a semi-mechanistic model to predict fat-free mass (FFM) from subject characteristics in a population that includes extremes of size. FFM is considered to closely approximate LBW. There are several reference methods for assessing FFM, whereas there are no reference standards for LBW.Patients and methodsA total of 373 patients (168 male, 205 female) were included in the study. These data arose from two populations. Population A (index dataset) contained anthropometric characteristics, FFM estimated by dual-energy x-ray absorptiometry (DXA – a reference method) and bioelectrical impedance analysis (BIA) data. Population B (test dataset) contained the same anthropometric measures and FFM data as population A, but excluded BIA data. The patients in population A had a wide range of age (18–82 years), bodyweight (40.7–216.5kg) and BMI values (17.1–69.9 kg/m2). Patients in population B had BMI values of 18.7–38.4 kg/m2. A two-stage semi-mechanistic model to predict FFM was developed from the demographics from population A. For stage 1 a model was developed to predict impedance and for stage 2 a model that incorporated predicted impedance was used to predict FFM. These two models were combined to provide an overall model to predict FFM from patient characteristics. The developed model for FFM was externally evaluated by predicting into population B.ResultsThe semi-mechanistic model to predict impedance incorporated sex, height and bodyweight. The developed model provides a good predictor of impedance for both males and females (r2= 0.78, mean error [ME] = 2.30 × 10−3, root mean square error [RMSE] = 51.56 [approximately 10% of mean]). The final model for FFM incorporated sex, height and bodyweight. The developed model for FFM provided good predictive performance for both males and females (r2= 0.93, ME = −0.77, RMSE = 3.33 [approximately 6% of mean]). In addition, the model accurately predicted the FFM of subjects in population B (r2= 0.85, ME = −0.04, RMSE = 4.39 [approximately 7% of mean]).ConclusionsA semi-mechanistic model has been developed to predict FFM (and therefore LBW) from easily accessible patient characteristics. This model has been prospectively evaluated and shown to have good predictive performance.

ISSN:0312-5963    

出版商:ADIS    

年代:2005

数据来源: ADIS

摘要:

Background and objectivesGefitinib (IRESSA®, ZD1839), an epidermal growth factor receptor tyrosine kinase inhibitor, has been approved in several countries for the treatment of advanced non-small-cell lung cancer. Preclinical studies were conducted to determine the cytochrome P450 (CYP) isoenzymes involved in the metabolism of gefitinib and to evaluate the potential of gefitinib to cause drug interactions through inhibition of CYP isoenzymes. Based on these findings, three clinical studies were carried out to investigate pharmacokinetic drug interactionsin vivowith gefitinib.MethodsIn preclinical studies radiolabelled gefitinib was incubated with: (i) hepatic microsomal protein in the presence of selective CYP inhibitors; and (ii) expressed CYP enzymes. Human hepatic microsomal protein was incubated with selective CYP substrates in the presence of gefitinib. Clinical studies were all phase I, open-label, single-centre studies; two had a randomised, two-way crossover design and the third was nonrandomised. The first and second studies investigated the pharmacokinetics of gefitinib in the presence of a potent CYP3A4 inducer (rifampicin [rifampin]) or inhibitor (itraconazole) in healthy male volunteers. The third study investigated the effects that gefitinib had on the pharmacokinetics of metoprolol, a CYP2D6 substrate, in patients with solid tumours.ResultsThe results of preclinical studies demonstrated that CYP3A4 is involved in the metabolism of gefitinib and that gefitinib is a weak inhibitor of CYP2D6 activity. In clinical studies when gefitinib was administered in the presence of rifampicin, geometric mean (gmean) maximum concentration and area under the plasma concentration-time curve (AUC) were reduced by 65% and 83%, respectively; these changes were statistically significant. When gefitinib was administered in the presence of itraconazole, gmean AUC increased by 78% and 61% at gefitinib doses of 250 and 500mg, respectively; these changes also being statistically significant. Coadministration of metoprolol with gefitinib resulted in a 35% increase in the metoprolol area under plasma concentration-time curve from time zero to the time of the last quantifiable concentration; this change was not statistically significant. There was no apparent change in the safety profile of gefitinib as a result of coadministration with other agents.ConclusionsAlthough CYP3A4 inducers may reduce exposure to gefitinib, further work is required to define any resultant effect on the efficacy of gefitinib. Exposure to gefitinib is increased by coadministration with CYP3A4 inhibitors, but since gefitinib is known to have a good tolerability profile, a dosage reduction is not recommended. Gefitinib is unlikely to exert a clinically relevant effect on the pharmacokinetics of drugs that are dependent on CYP2D6-mediated metabolism for their clearance, but the potential to increase plasma concentrations should be considered if gefitinib is coadministered with CYP2D6 substrates that have a narrow therapeutic index or are individually dose titrated.

ISSN:0312-5963    

出版商:ADIS    

年代:2005

数据来源: ADIS

摘要:

BackgroundMycophenolate mofetil is the prodrug of mycophenolic acid (MPA) and is used as an immunosuppressant following renal, heart, lung and liver transplantation. Although MPA plasma concentrations have been shown to correlate with clinical outcome, there is considerable inter- and intrapatient pharmacokinetic variability. Consequently, it is important to study demographic and pathophysiological factors that may explain this variability in pharmacokinetics.ObjectiveThe aim of the study was to develop a population pharmacokinetic model for MPA following oral administration of mycophenolate mofetil, and evaluate relationships between patient factors and pharmacokinetic parameters.Patients and methodsPharmacokinetic data were obtained from a randomised concentration-controlled trial involving 140 renal transplant patients. Pharmacokinetic profiles were assessed on nine occasions during a 24-week period. Plasma samples for description of full 12-hour concentration-time profiles on the first three sampling days were taken predose and at 0.33, 0.66, 1.25, 2, 6, 8 and 12 hours after oral intake of mycophenolate mofetil. For the remaining six occasions, serial plasma samples were taken according to a limited sampling strategy predose and at 0.33, 0.66, 1.25 and 2 hours after mycophenolate mofetil administration. The resulting 6523 plasma concentration-time data were analysed using nonlinear mixed-effects modelling.ResultsThe pharmacokinetics of MPA were best described by a two-compartment model with time-lagged first-order absorption. The following population parameters were estimated: absorption rate constant (ka) 4.1h−1, central volume of distribution (V1) 91L, peripheral volume of distribution (V2) 237L, clearance (CL) 33 L/h, intercompartment clearance (Q) 35 L/h and absorption lag time 0.21h. The interpatient variability for ka, V1, V2and CL was 111%, 91%, 102% and 31%, respectively; estimates of the intrapatient variability for ka, V1and CL were 116%, 53% and 20%, respectively. For MPA clearance, statistically significant correlations were found with creatinine clearance, plasma albumin concentration, sex and ciclosporin daily dose (p < 0.001). For V1, significant correlations were  identified  with  creatinine  clearance  and  plasma  albumin  concentration (p < 0.001).ConclusionThe developed population pharmacokinetic model adequately describes the pharmacokinetics of MPA in renal transplant recipients. The identified correlations appear to explain part of the observed inter- and intrapatient pharmacokinetic variability. The clinical consequences of the observed correlations remain to be investigated.

ISSN:0312-5963    

出版商:ADIS    

年代:2005

数据来源: ADIS