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Iron-rich transfusions and/or a compensatory increase in iron absorption ultimately result in iron loading in patients with β-thalassaemia. Hence, without iron chelation, iron accumulates relentlessly. Deferiprone has been shown to be capable of reducing the iron burden in patients with b-thalassaemia. However, there is wide interpatient variation in deferiprone-induced urinary iron excretion (UIE). We hypothesized that splenectomy and iron status might influence the pharmacokinetic profiles of deferiprone in patients with β-thalassaemia/haemoglobin E, and the present study was aimed at examining this hypothesis. Thirty-one patients with β-thalassaemia/haemoglobin E (20 splenecto-mized and 11 non-splenectomized patients) were enrolled in the study. After an overnight fast, the subjects received a single oral dose of deferiprone 25 mg/kg of body weight. Blood samples were collected pre-dosing and at 15, 30, 45, 60, 90, 120, 180, 240, 300, 360 and 480 minutes after dosing. Urine output was pooled and collected at 0–2, 2–4, 4–8, 8–12 and 12–24 hour intervals. Serum and urine concentrations of deferiprone and its metabolite deferiprone glucuronide were determined using a validated high-performance liquid chromatography method. Serum deferiprone-chelated iron and UIE were determined using a validated colourimetric method. No significant difference in the pharmacokinetic parameters of non-conjugated deferiprone was observed between splenectomized and non-splenectomized patients. However, the maximum serum concentration (Cmax) and the area under the serum concentration-time curve (AUC) from time zero to infinity (AUC∞) values of deferiprone glucuronide were significantly lower (both p < 0.05) in splenectomized patients (median 53.2µmol/L and 12 634 µmol · min/L, respectively) than in non-splenectomized patients (median 70.5 µmol/L and 20 601 mmol · min/L, respectively). The Cmax and the AUC from time zero to the time of the last measurable concentration (AUClast) values of serum deferiprone-chelated iron, as well as UIE, were significantly higher (p < 0.001) in splenectomized patients (median values 7.1 µmol/L, 1645 mmol · min/L and 77.1 mmol, respectively) than in non-splenectomized patients (median values 3.1 µmol/L, 545 mmol · min/L and 12.5 µmol, respectively). Urinary excretion of non-conjugated deferiprone and deferiprone glucuronide did not differ between the two groups. Further analyses using multiple linear regressions indicated that the iron profiles (non-transferrin-bound iron and ferritin) were significant predictors of the pharmacokinetic parameters of non-conjugated deferiprone, deferiprone-chelated iron and UIE. In addition, splenectomy status was identified as the strongest predictor of the AUClast of deferiprone-chelated iron and UIE. Both iron and splenectomy status have significant effects on the pharmacokinetics and iron chelation efficacy of deferiprone. A greater degree of iron overload in splenectomized patients results in alterations in pharmacokinetic parameters (the Cmax and AUC) of deferiprone glucuronide and deferiprone-chelated iron, as well as a significant increase in UIE.

Ethnic variability in the pharmacokinetics of organic anion transporting polypeptide (OATP) 1B1 substrates has been observed, but its basis is unclear. A previous study hypothesizes that, without applying an intrinsic ethnic variability in transporter activity, allele frequencies of transporters cannot explain observed ethnic variability in pharmacokinetics. However, this hypothesis contradicts the data collected from compounds that are OATP1B1 substrates but not breast cancer resistance protein (BCRP) substrates. The objective of this study is to evaluate a hypothesis that is physiologically reasonable and more consistent with clinical observations. We evaluated if allele frequencies of two transporters (OATP1B1 and BCRP) are key contributors to ethnic variability. In this hypothesis, the same genotype leads to the same activity independent of ethnicity, in contrast to the previous hypothesis of intrinsic ethnic variability in OATP1B1 activity. As a validation, we perform mechanistic pharmacokinetic modeling for SLCO1B1 (encoding OATP1B1) and ABCG2 (encoding BCRP) genotyped pharmacokinetic data from 18 clinical studies with healthy Caucasian and/or Asian subjects. Simulations based on the current hypothesis reasonably describe SLCO1B1 and ABCG2 genotyped pharmacokinetic time course data for five transporter substrates (atorvastatin, pitavastatin, pravastatin, repaglinide, and rosuvastatin) in Caucasian and Asian populations. This hypothesis covers the observations that can (e.g., ethnic differences in rosuvastatin pharmacokinetics) or cannot (e.g., lack of differences for pitavastatin pharmacokinetics) be explained by the previous hypothesis. It helps to characterize sources of ethnic variability and provides a foundation for predicting ethnic variability in transporter substrate pharmacokinetics.

The half-life and metabolic clearance rale (MCR) of antipyrine and phenytoin were determined in 14 young [mean age: 28.8 ± 8.3 (SD) years] and in 14 elderly [mean age: 83.5 ±7.1 (SD) years] subjects and correlated with liver volume, which was determined by ultrasonic scanning, to see if an age-dependent difference in drug metabolism could be explained by a reduced liver weight with age. The size of the liver was smaller in the elderly subjects even when related to decreased body surface. A significant decrease in serum albumin in the elderly compared with the younger group was also noted. The half-life of antipyrine was significantly longer in the elderly than in the younger group, 756 ± 318 and 465 ± 110 minutes, respectively, and the MCR was correspondingly lower in the elderly even when calculated per litre of liver volume, 22.8 ± 7.8 and 36.3 ± 8.9ml/minute/L liver volume, respectively. No significant differences in the 2 age groups were found in half-life and total clearance of phenytoin, but a reduced free phenytoin clearance was demonstrated in the elderly (240 ± 92ml/minute/L liver volume) compared with the younger (325 ± 81 ml/minute/L liver volume) group. No significant correlation was found between liver volume and the half-life of antipyrine and phenytoin. However, a significant correlation was demonstrated between liver volume and MCR of antipyrine as well as between total and free clearance of phenytoin. No correlation was found between the half-lives of the 2 drugs, while a significant correlation existed between the clearance values. It is suggested that the age-dependent reduction in drug clearance is due not only to a smaller liver volume, but is also a result of a reduced capacity of the liver microsomes per unit of liver in the elderly. With regard to age-dependent changes in drug metabolism, the protein binding of the actual drug has to be taken into consideration.

The ability to deliver safe and effective moderate sedation is crucial to the ability to perform invasive procedures. Sedative drugs should have a quick onset of action, provide rapid and clear-headed recovery, and be easy to administer and monitor. A number of drugs have been demonstrated to provide effective sedation for outpatient procedures but since each agent has its own limitations, a thorough knowledge of the available drugs is required to choose the appropriate drug, dose and/or combination regimen for individual patients. Midazolam, propofol, ketamine and sevoflurane are the most frequently used agents, and all have a quick onset of action and rapid recovery. The primary drawback of midazolam is the potential for accumulation of the drug, which can result in prolonged sedation and a hangover effect. The anaesthetics propofol and sevoflurane have recently been used for sedation in procedures of short duration. Although effective, these agents require monitored anaesthesia care. Ketamine is an effective agent, particularly in children, but there is concern regarding emergence reactions. AQUAVAN® injection (fospropofol disodium), a phosphorylated prodrug of propofol, is an investigational agent possessing a unique and distinct pharmacokinetic and pharmacodynamic profile. Compared with propofol emulsion, AQUAVAN® is associated with a slightly longer time to peak effect and a more prolonged pharmacodynamic effect. Advances in the delivery of sedation, including the development of new sedative agents, have the potential to further improve the provision of moderate sedation for a variety of invasive procedures.

The renal handling of ceftazidime was studied in 8 patients with cystic fibrosis and 10 healthy controls. The renal clearance of ceftazidime (CLRcz) was measured after an intravenous single dose and during low and high plasma concentration steady-state infusions. The glomerular filtration rate (GFR) was simultaneously estimated by inulin clearance (CLinul). The average CLRcz (mean ± SD) was higher in cystic fibrosis patients (125 ± 20 ml/min/1.73m2) than in healthy controls (100 ± 9 ml/min/1.73m2) [p < 0.005]. Also CLinul (mean ± SD) was increased in cystic fibrosis patients (132 ± 30 ml/min/1.73m2) compared with healthy controls (103 ± 8 ml/min/1.73m2) [p < 0.02]. The mean renal clearance ratios of ceftazidime to inulin were close to unity after both the single dose and low and high dose steady-state infusions both in cystic fibrosis patients and in controls. These findings suggest that the glomerular filtration rate is the principal determinant of the elimination rate of ceftazidime. However, in all cystic fibrosis patients with a CLinul exceeding 125 ml/min/1.73m2 the clearance ratio was below unity, indicating tubular reabsorption of ceftazidime occurs in these individuals. The results demonstrate a higher but also more variable GFR in cystic fibrosis patients (74 to 174 ml/min/1.73m2), resulting in increased and accordingly variable ability to eliminate ceftazidime in cystic fibrosis. However, these pharmacokinetic changes are not large enough to call for special dosage considerations for ceftazidime in cystic fibrosis.

The recent development of nucleoside analogues with antiviral activity has expanded the small but useful armamentarium for the treatment of certain viral diseases such as the human immunodeficiency virus, cytomegalovirus and others. Their intracellular site of action and need for sequential phosphorylation require that traditional pharmacokinetic parameters be used in conjunction with an understanding of intracellular metabolism when designing dosage regimens. This review summarises the available pharmacokinetic literature for zidovudine, didanosine, zalcitabine, aciclovir, ganciclovir, vidarabine and ribavirin. After oral administration, didanosine, aciclovir and ribavirin are <50% bioavailable and ganciclovir is <6% absorbed. In contrast, zidovudine and zalcitabine are >60% bioavailable, although zidovudine undergoes considerable and variable first-pass hepatic glucuronidation while zalcitabine has no first-pass effect. Zidovudine, zalcitabine and didanosine are absorbed rapidly in the fasted state, with peak plasma concentrations exceeding their respective in vitro antiretroviral inhibitory concentrations. All reviewed agents except ribavirin have a relatively short plasma half-life (≈0.5 to 4h), with each agent demonstrating a different intracellular enzymatic activation scheme. For example, the rate-limiting step for formation of zidovudine triphosphate is the conversion of the monophosphate to the diphosphate, while didanosine is ultimately converted to dideoxyadenosine triphosphate which has the longest intracellular half-life (≈12 to 24h) among these agents. These drugs are not highly protein bound and they distribute into tissues with an apparent volume of distribution at steady-state ranging from 0.3 to 1.2 L/kg. They vary in the extent to which they enter cerebrospinal fluid, ranging from a low of <25% for didanosine to a high of >70% of a concurrent plasma concentration for ribavirin and vidarabine. These agents also vary with regard to degree of renal excretion of the parent drug, with the lowest noted for vidarabine (1 to 3%) and the highest for zalcitabine (≈75%) and ganciclovir (>90%). With the increasing number of clinically useful nucleoside analogues, it is essential for the clinician to appreciate the subtle differences among these agents to ensure that optimal therapeutic outcomes may be attained with minimal toxicity.

Chronic kidney disease (CKD) may alter drug renal elimination but is also known for interacting with hepatic metabolism via multiple uremic components. However, few global models, considering the five major cytochromes, have been published, and none specifically address the decrease in cytochrome P450 (CYP450) activity. The aim of our study was to estimate the possibility of quantifying residual cytochrome activity as a function of filtration rate, according to the data available in the literature. For each drug in the DDI-predictor database, we collected available pharmacokinetic data comparing drug exposition in the healthy patient and in various stages of CKD, before building a model capable of predicting the variation of exposure according to the degree of renal damage. We followed an In vivo Mechanistic Static Model (IMSM) approach, previously validated for predicting change in liver clearance. We estimated the remaining fraction parameters at glomerular filtration rate (GFR) = 0 and the alpha value of GFR to 50% impairment for the 5 major cytochromes using a non-linear constrained regression using Matlab software. Thirty-one compounds had usable pharmacokinetic data, with 51 AUC ratios between healthy and renal impaired patients. The remaining CYP3A4 activity was estimated to be 0.4 when CYP2D6, 2C9, 2C19 and 1A2 activity was estimated to be 0.43; 1; 0.73 and 0.7, respectively. The alpha value was estimated to be at 6.62; 25; 9.8; 1.38 and 11.04 for each cytochrome. In comparison with published data, all estimates but one were correctly predicted in the range of 0.5–2. Our approach was able to describe the impact of CKD on metabolic elimination. Modelling this process makes it possible to anticipate changes in clearance and drug exposure in CKD patients, with the advantage of greater simplicity than approaches based on physiologically-based pharmacokinetic modelling. However, a precise estimation of the impact of renal failure is not possible with an IMSM approach due to the large variability of the published data, and thus should rely on specific pharmacokinetic modelling for narrow therapeutic margin drugs.

Vigabatrin is an inhibitor of γ-aminobutyric acid transaminase. The purpose of these analyses was to develop a population pharmacokinetics model to characterize the vigabatrin concentration–time profile for adults and children with refractory complex partial seizures (rCPS) and for children with infantile spasms (IS); to identify covariates that affect its disposition, and to enable predictions of systemic vigabatrin exposure for patients 1–12 months of age. Vigabatrin pharmacokinetic data from six randomized controlled clinical trials and one open-label study were analyzed using nonlinear mixed-effects modeling. Data collected from 349 adults with rCPS and 119 pediatric patients with rCPS or IS were used in the analyses. A two-compartment model with first-order elimination and transit-compartment absorption consisting of five transit compartments adequately described the vigabatrin concentration–time data for these adult and pediatric patient populations. An exponential error model was used to estimate inter-individual variability for the transit-rate constant (k tr) (24.2 %), elimination rate constant (k) (14.7 %) and apparent central volume of distribution (V c/F) (18 %). For the study of children with IS, inter-occasion variability was estimated for k tr (58.1 %) and relative bioavailability (F) (26.9 %). Covariate analysis indicated that age, creatinine clearance (CLCR), and body weight were important predictors of vigabatrin pharmacokinetic parameters. Vigabatrin apparent clearance increased with increasing CLCR, consistent with renal excretion (primary pathway of vigabatrin elimination). Rate of vigabatrin absorption was dependent on age. The rate was slower in younger patients, which resulted in a smaller predicted maximum concentration and longer predicted time to maximum concentrations. Vigabatrin V c/F, apparent inter-compartmental clearance between the central and peripheral compartment, and apparent peripheral volume of distribution were increased with greater patient body weights. Sex did not contribute significantly to vigabatrin pharmacokinetic variability. The model adequately described vigabatrin pharmacokinetic and enabled predictions of systemic exposures in pediatric patients 1–12 months of age.