Quinidine pharmacokinetics in man: choice of a disposition model and absolute bioavailability studies

Physiologically-based pharmacokinetic modeling of quinidine to establish a CYP3A4, P-gp, and CYP2D6 drug-drug-gene interaction network

The antiarrhythmic agent quinidine is a potent inhibitor of cytochrome P450 (CYP) 2D6 and P-glycoprotein (P-gp) and is therefore recommended for use in clinical drug-drug interaction (DDI) studies. However, as quinidine is also a substrate of CYP3A4 and P-gp, it is susceptible to DDIs involving these proteins. Physiologically-based pharmacokinetic (PBPK) modeling can help to mechanistically assess the absorption, distribution, metabolism, and excretion processes of a drug and has proven its usefulness in predicting even complex interaction scenarios. The objectives of the presented work were to develop a PBPK model of quinidine and to integrate the model into a comprehensive drug-drug(-gene) interaction (DD(G)I) network with a diverse set of CYP3A4 and P-gp perpetrators as well as CYP2D6 and P-gp victims. The quinidine parent-metabolite model including 3-hydroxyquinidine was developed using pharmacokinetic profiles from clinical studies after intravenous and oral administration covering a broad dosing range (0.1-600 mg). The model covers efflux transport via P-gp and metabolic transformation to either 3-hydroxyquinidine or unspecified metabolites via CYP3A4. The 3-hydroxyquinidine model includes further metabolism by CYP3A4 as well as an unspecific hepatic clearance. Model performance was assessed graphically and quantitatively with greater than 90% of predicted pharmacokinetic parameters within two-fold of corresponding observed values. The model was successfully used to simulate various DD(G)I scenarios with greater than 90% of predicted DD(G)I pharmacokinetic parameter ratios within two-fold prediction success limits. The presented network will be provided to the research community and can be extended to include further perpetrators, victims, and targets, to support investigations of DD(G)Is.

The Challenge and Importance of Integrating Drug-Nutrient-Genome Interactions in Personalized Cardiovascular Healthcare

Despite the rich armamentarium of available drugs against different forms of cardiovascular disease (CVD), major challenges persist in their safe and effective use. These include high rates of adverse drug reactions, increased heterogeneity in patient responses, suboptimal drug efficacy, and in some cases limited compliance. Dietary elements (including food, beverages, and supplements) can modulate drug absorption, distribution, metabolism, excretion, and action, with significant implications for drug efficacy and safety. Genetic variation can further modulate the response to diet, to a drug, and to the interaction of the two. These interactions represent a largely unexplored territory that holds considerable promise in the field of personalized medicine in CVD. Herein, we highlight examples of clinically relevant drug–nutrient–genome interactions, map the challenges faced to date, and discuss their future perspectives in personalized cardiovascular healthcare in light of the rapid technological advances.

Physiologically-based Pharmacokinetic Modeling to Assess the Impact of CYP2D6-Mediated Drug-Drug Interactions on Tramadol and O-Desmethyltramadol Exposures via Allosteric and Competitive Inhibition

Tramadol is an opioid medication used to treat moderately severe pain. Cytochrome P450 (CYP) 2D6 inhibition could be important for tramadol, as it decreases the formation of its pharmacologically active metabolite, O‐desmethyltramadol, potentially resulting in increased opioid use and misuse. The objective of this study was to evaluate the impact of allosteric and competitive CYP2D6 inhibition on tramadol and O‐desmethyltramadol pharmacokinetics using quinidine and metoprolol as prototypical perpetrator drugs. A physiologically based pharmacokinetic model for tramadol and O‐desmethyltramadol was developed and verified in PK‐Sim version 8 and linked to respective models of quinidine and metoprolol to evaluate the impact of allosteric and competitive CYP2D6 inhibition on tramadol and O‐desmethyltramadol exposure. Our results show that there is a differentiated impact of CYP2D6 inhibitors on tramadol and O‐desmethyltramadol based on their mechanisms of inhibition. Following allosteric inhibition by a single dose of quinidine, the exposure of both tramadol (51% increase) and O‐desmethyltramadol (52% decrease) was predicted to be significantly altered after concomitant administration of a single dose of tramadol. Following multiple‐dose administration of tramadol and a single‐dose or multiple‐dose administration of quinidine, the inhibitory effect of quinidine was predicted to be long (≈42 hours) and to alter exposure of tramadol and O‐desmethyltramadol by up to 60%, suggesting that coadministration of quinidine and tramadol should be avoided clinically. In comparison, there is no predicted significant impact of metoprolol on tramadol and O‐desmethyltramadol exposure. In fact, tramadol is predicted to act as a CYP2D6 perpetrator and increase metoprolol exposure, which may necessitate the need for dose separation.

On the accuracy of calculation of the mean residence time of drug in the body and its volumes of distribution based on the assumption of central elimination

1. The steady state and terminal volumes of distribution, as well as the mean residence time of drug in the body (Vss, Vβ, and MRT) are the common pharmacokinetic parameters calculated using the drug plasma concentration-time profile (Cp(t)) following intravenous (iv bolus or constant rate infusion) drug administration. 2. These traditional calculations are valid for the linear pharmacokinetic system with central elimination (i.e. elimination rate being proportional to drug concentration in plasma). The assumption of central elimination is not valid in general, so that the accuracy of the traditional calculation of these parameters is uncertain. 3. The comparison of Vss, Vβ, and MRT calculated by the derived exact equations and by the commonly used ones was made considering a physiological model. It turned out that the difference between the exact and simplified calculations does not exceed 2%. 4. Thus the calculations of Vss, Vβ, and MRT, which are based on the assumption of central elimination, may be considered as quite accurate. Consequently it can be used as the standard for comparisons with kinetic and in silico models.

The corrected traditional equations for calculation of hepatic clearance that account for the difference in drug ionization in extracellular and intracellular tissue water and the corresponding corrected PBPK equation

The estimation of hepatic clearance, Clh, using in vitro data on metabolic stability of compound, its protein binding and blood–plasma equilibrium concentration ratio is commonly performed using well-stirred, parallel tube or dispersion models. It appears that for ionizable drugs there is a difference of the steady-state concentrations in extracelluar and intracellular water (at hepatocytes), where metabolism takes place. This occurs due to the different pH of extra- and intracellular water (7.4 and 7.0, respectively). The account of this fact leads to the novel equations for Clh . These equations include the additional parameter named ionization factor, FI, which is the ratio of the unionized drug fractions in plasma and intracellular tissue water (or the ratio of the unbound drug concentrations in intracellular tissue water and plasma at equilibrium). For neutral drugs FI = 1 and the novel equations coincide with the traditional ones. It is shown that the account of this factor may yield the calculated Clh up to 6.3-fold greater than that obtained by the traditional equations for the strong diprotic basic compounds, and up to 6.3-fold smaller for the strong diprotic acidic compounds. For triprotic acids and bases the difference could be as much as 15-fold. The account of pH difference between extra- and intracellular water also results in the change of the term commonly used to describe drug metabolic elimination rate in physiologically based pharmacokinetic (PBPK) equation. This consequently may lead to a noticeable change of drug concentration-time profiles in plasma and tissues. The effect of ionization factor is especially pronounced for the low-extraction ratio drugs. The examples of significant improvement in the prediction of hepatic clearance due to the account of ionization factor are provided. A more general equation for hepatic clearance, which accounts for ionization factor and possible drug uptake and efflux, is obtained.

Interactions between grapefruit juice and cardiovascular drugs

Grapefruit juice can alter oral drug pharmacokinetics by different mechanisms. Irreversible inactivation of intestinal cytochrome P450 (CYP) 3A4 is produced by commercial grapefruit juice given as a single normal amount (e.g. 200-300 mL) or by whole fresh fruit segments. As a result, presystemic metabolism is reduced and oral drug bioavailability increased. Enhanced oral drug bioavailability can occur 24 hours after juice consumption. Inhibition of P-glycoprotein (P-gp) is a possible mechanism that increases oral drug bioavailability by reducing intestinal and/or hepatic efflux transport. Recently, inhibition of organic anion transporting polypeptides by grapefruit juice was observed in vitro; intestinal uptake transport appeared decreased as oral drug bioavailability was reduced. Numerous medications used in the prevention or treatment of coronary artery disease and its complications have been observed or are predicted to interact with grapefruit juice. Such interactions may increase the risk of rhabdomyolysis when dyslipidemia is treated with the HMG-CoA reductase inhibitors atorvastatin, lovastatin, or simvastatin. Potential alternative agents are pravastatin, fluvastatin, or rosuvastatin. Such interactions might also cause excessive vasodilatation when hypertension is managed with the dihydropyridines felodipine, nicardipine, nifedipine, nisoldipine, or nitrendipine. An alternative agent could be amlodipine. In contrast, the therapeutic effect of the angiotensin II type 1 receptor antagonist losartan may be reduced by grapefruit juice. Grapefruit juice interacting with the antidiabetic agent repaglinide may cause hypoglycemia, and interaction with the appetite suppressant sibutramine may cause elevated BP and HR. In angina pectoris, administration of grapefruit juice could result in atrioventricular conduction disorders with verapamil or attenuated antiplatelet activity with clopidrogel. Grapefruit juice may enhance drug toxicity for antiarrhythmic agents such as amiodarone, quinidine, disopyramide, or propafenone, and for the congestive heart failure drug, carvediol. Some drugs for the treatment of peripheral or central vascular disease also have the potential to interact with grapefruit juice. Interaction with sildenafil, tadalafil, or vardenafil for erectile dysfunction, may cause serious systemic vasodilatation especially when combined with a nitrate. Interaction between ergotamine for migraine and grapefruit juice may cause gangrene or stroke. In stroke, interaction with nimodipine may cause systemic hypotension. If a drug has low inherent oral bioavailability from presystemic metabolism by CYP3A4 or efflux transport by P-gp and the potential to produce serious overdose toxicity, avoidance of grapefruit juice entirely during pharmacotherapy appears mandatory. Although altered drug response is variable among individuals, the outcome is difficult to predict and avoiding the combination will guarantee toxicity is prevented. The elderly are at particular risk, as they are often prescribed medications and frequently consume grapefruit juice.

Disposition of the flavonoid quercetin in rats after single intravenous and oral doses

The pharmacokinetic and mean time tissue distribution parameters, after a single 50-mg/kg dose of quercetin administered as intravenous bolus, oral solution, and oral suspension, were determined using rat as an animal model. Following intravenous administration, the elimination rate constant and the elimination half-life were found to be 0.0062 min(-1) and 111 min, respectively. Examining the mean time tissue distribution parameters reflected a strong binding affinity of the drug molecules to both plasma and tissue proteins. In addition, the low permeability rate of drug molecules in the peripheral system was demonstrated. Following the oral administration of the drug, the extent of absorption was greater from solution than from suspension. Moreover, the solution showed a shorter Tmax and a higher Cmax than suspension. The absolute bioavailability for the solution was 0.275 and that for suspension was 0.162. The mean residence time (MRT) and the mean absorption time (MAT) were higher for suspension, reflecting the need for dissolving the drug in order to be absorbed. The mean (in-vivo) dissolution time (MDT(in-vivo)) was 34.5 min. Thus, an oral quercetin formulation that can readily form a drug solution in the gastrointestinal tract may enhance the absorption of the drug.

Prediction of hepatic clearance and availability by cryopreserved human hepatocytes: an application of serum incubation method

A novel and convenient method was established for the prediction of in vivo metabolic clearance in human liver. The present method applied the in vitro-in vivo extrapolation paradigm previously established in rats to the in vitro data obtained from cryopreserved human hepatocytes. Predicted hepatic availability and clearance were compared with the reported oral bioavailability and plasma clearance in humans for 14 clinically used drugs (naloxone, buspirone, verapamil, lidocaine, imipramine, metoprolol, timolol, antipyrine, diazepam, quinidine, caffeine, propranolol, diclofenac, and phenacetin). A large interindividual variation was observed in the intrinsic metabolic clearance among separate cryopreserved preparations from different subjects. The prediction generally resulted in a marked underestimation when the biologically based scaling factor (3.1 x 10(9) cells/kg) was used for the extrapolation of in vitro data (milliliters per minutes per cells) to in vivo value (milliliters per minutes per kilograms). Reasonably good in vitro-in vivo correlations were obtained with empirically calculated scaling factors, 8.5 x 10(9) (cells/kg) from 10 individual preparations and 10.8 x 10(9) (cells/kg) from pooled preparation of two selected lots, which were 3- to 4-fold larger than the biologically based scaling factor. These data suggested that the calibration of inherent interindividual variation of metabolic activities among different cryopreserved preparations of human hepatocytes to obtain the empirical scaling factor, which is applicable only to the preparation used, was an essential step for more reliable and quantitative prediction of in vivo metabolic activity in humans.

Effect of grapefruit juice on the pharmacokinetics and pharmacodynamics of quinidine in healthy volunteers

A study was conducted to examine the effect of grapefruit juice on the disposition of quinidine sulfate and changes of QT intervals after oral administration to twelve healthy male volunteers. Participants received two oral doses of quinidine sulfate tablets (400 mg) with 240 mL of water or grapefruit juice, each separated by a 1-week washout period. Plasma samples for analysis of quinidine and its major metabolite, 3-hydroxyquinidine, were collected for a 24-hour period and analyzed by a high-performance liquid chromatography method. For pharmacodynamic data, the electrocardiograms (ECGs) were performed for 12 hours, and the recordings were marked for ECG interval at all blood collection time periods. There was no significant difference in pharmacokinetic parameters of quinidine when administered with grapefruit juice or water, except for time to maximum concentration (tmax), which was 1.6 hours after administration with water and 3.3 hours after administration with grapefruit juice. Administration with grapefruit juice also resulted in a 33% decrease in the area under the concentration-time curve (AUC) of 3-hydroxyquinidine compared with water, but did not increase the AUC of quinidine or change the ratio of AUC of 3-hydroxyquinidine to the AUC of quinidine. Pharmacodynamic parameters, including changes in the rate-corrected QT (QTc) interval, closely paralleled the pharmacokinetic data, in that administration with grapefruit juice led to delayed maximal effect on QTc and reduction in maximal effect. Administration with grapefruit juice therefore delays the absorption of quinidine and inhibits the metabolism of quinidine to 3-hydroxyquinidine.

Quantitative structure-pharmacokinetic relationships for systemic drug distribution kinetics not confined to a congeneric series

Many attempts have been made to describe quantitative structure-pharmacokinetic relationships within a congeneric series of drug molecules. The goal is to develop a predictive relationship that could predict in vivo results for other drugs within that series. These studies typically evaluate pharmacokinetic parameters that are reflective of both distribution and elimination processes. This work utilizes the results from 17 noncongeneric drugs reported in 18 pharmacokinetic studies. The objective was to determine if drug distribution parameters that were independent of elimination could be predicted from easily measured physicochemical parameters with a data base that included a wide variety of drugs that were not congeners of one another. Regression models utilizing a linear and a quadratic response surface were used to predict the various distribution parameters from physicochemical parameters, including molecular weight, intrinsic solubility, alcohol solubility, protein binding, and the distribution coefficient. Analogous to the extent of absorption, the extent of drug distribution can be predicted reasonably well by the probability that the drug will distribute into the peripheral system before being eliminated and by the volume of distribution at steady state. The duration of distribution, analogous to the rate of absorption, can be predicted by the mean transit time through the peripheral system the mean residence time of the drug in the peripheral system and the intrinsic mean residence time in the peripheral system. The ability to use statistical models to approximate drug distribution parameters without the constraints of working within a congeneric series provides some valuable opportunities.

Individual variation in first-pass metabolism

Individual variation in pharmacokinetics has long been recognised. This variability is extremely pronounced in drugs that undergo extensive first-pass metabolism. Drug concentrations obtained from individuals given the same dose could range several-fold, even in young healthy volunteers. In addition to the liver, which is the major organ for drug and xenobiotic metabolism, the gut and the lung can contribute significantly to variability in first-pass metabolism. Unfortunately, the contributions of the latter 2 organs are difficult to quantify because conventional in vivo methods for quantifying first-pass metabolism are not sufficiently specific. Drugs that are mainly eliminated by phase II metabolism (e.g. estrogens and progestogens, morphine, etc.) undergo significant first-pass gut metabolism. This is because the gut is rich in conjugating enzymes. The role of the lung in first-pass metabolism is not clear, although it is quite avid in binding basic drugs such as lidocaine (lignocaine), propranolol, etc. Factors such as age, gender, disease states, enzyme induction and inhibition, genetic polymorphism and food effects have been implicated in causing variability in pharmacokinetics of drugs that undergo extensive first-pass metabolism. Of various factors considered, age and gender make the least evident contributions, whereas genetic polymorphism, enzymatic changes due to induction or inhibition, and the effects of food are major contributors to the variability in first-pass metabolism. These factors can easily cause several-fold variations. Polymorphic disposition of imipramine and propafenone, an increase in verapamil first-pass metabolism by rifampicin (rifampin), and the effects of food on propranolol, metoprolol and propafenone, are typical examples. Unfortunately, the contributions of these factors towards variability are unpredictable and tend to be drug-dependent. A change in steady-state clearance of a drug can sometimes be exacerbated when first-pass metabolism and systemic clearance of a drug are simultaneously altered. Therefore, an understanding of the source of variability is the key to the optimisation of therapy.

Stochastic interpretation of linear pharmacokinetics: a linear system analysis approach

Linear drug disposition is most generally defined in terms of the superposition principle. This principle is explained on the molecular level by probability principles involving stochastic, independent kinetic behavior of drug molecules. A stochastic modeling approach is presented that is more general than pharmacokinetic models typically employed in stochastic approaches. First-order microscopic transfer rate constants (Kij) are not employed or assumed in the analysis. The approach is a linear system analysis approach that makes use of the simplest possible kinetic structure that enables a differentiation of the drug disposition into elimination and distribution components. This is done by applying stochastic principles in the context of the disposition decomposition analysis (DDA). The DDA approach in its linear form is a generalization of linear pharmacokinetic systems that assume a homogeneous sampling space. Disposition kinetics is partitioned into two kinetic spaces, a homogeneous sampling space, and a heterogeneous peripheral kinetic space. A structure differentiation beyond this is difficult to justify in common situations when only the parent drug is determined from a single iv sampling site. A stochastic independent molecule (SIM) model is formulated in the structure context of DDA. The model is employed to identify core relationships by isolating elementary stochastic building blocks of the disposition kinetics and absorption kinetics. It is shown how the stochastic building blocks of the SIM-DDA model are related to various mean time parameters. Residence probability functions and drug delivery probability functions provided by the approach appear useful for extending kinetic bioavailability concepts into a purely stochastic realm. The emphasis on transit time concepts enables a kinetic differentiation and a more intrinsic characterization than possible by the use of common residence time principles. Relationships are presented that link stochastic and kinetic elements. Formulas are presented for the practical calculations of the mean time parameters and stochastic functions presented. Practical examples are given of the concepts presented using data from several drugs.

Population pharmacokinetics of quinidine

1. Population pharmacokinetic parameters of quinidine were determined based on 260 serum drug concentration measurements in 60 patients treated for arrhythmias with quinidine sulphate or quinidine bisulphate (Kinidin duriles) orally. 2. Quinidine kinetics were best described by a two compartment model with zero order absorption from the gastrointestinal tract. The pharmacokinetics are influenced by severe heart or liver failure and renal function impairment. No effect was found for mild or moderate heart failure, for age, for body weight or for coadministration of nifedipine. 3. Population pharmacokinetic parameters of quinidine (assuming 100% bioavailability of oral quinidine sulphate) were: nonrenal clearance for patients without severe heart and liver failure 12.6 l h-1, reduction in patients with severe heart or liver failure to 6.8 l h-1, renal clearance (l h-1) related to creatinine clearance (ml min-1), proportionality constant 0.0566, volume of distribution of the central compartment 161 l, maximum serum drug concentration 1.4 h after administration of quinidine sulphate and 6.0 h after administration of quinidine bisulphate. 4. The results were validated by predicting the serum drug concentration in a separate group of 30 patients. The model reliably predicted both the population average and the variability of the serum concentration of quinidine. 5. Using Monte Carlo computer simulations, an a priori dosing regimen was derived that should maximize the proportion of patients having quinidine serum concentrations within the recommended range (2-5 mg l-1): initial dose of 600 mg quinidine sulphate in all patients, 3 h later first maintenance dose of quinidine bisulphate.(ABSTRACT TRUNCATED AT 250 WORDS)

Practical optimisation of antiarrhythmic drug therapy using pharmacokinetic principles

The optimisation of antiarrhythmic drug therapy is dependent on the definitions and methods of short term efficacy testing and the characteristics of those drugs used for rhythm disturbances. The choice of an initial antiarrhythmic drug dosage is highly empirical, and will remain so until the measurement of free concentrations, enantiomeric fractions and genetic phenotyping becomes routine. However, the clinician can devise an efficient initial dosage for efficacy testing procedures based on pharmacokinetic principles and disposition variables in the literature. In this regard, a nomogram for commonly used agents and dosages was constructed and is offered as a guide to accomplish this goal. Verification of the accuracy and usefulness of this nomogram in a prospective manner in patients with symptomatic tachyarrhythmias is still required. On a long term basis, dosage regimens can be modified by the use of pharmacokinetic principles and patient-specific target concentrations, in accordance with the methods used to monitor arrhythmia recurrence and drug-related side effects.

Comparative bioavailability characteristics of commercial quinidine polygalacturonate and sulfate tablets

This study compared the relative bioavailability characteristics of quinidine polygalacturonate (QP) and quinidine sulfate (QS) after oral administration of commercial tablets and a liquid form prepared from crushed tablets in 13 healthy adult male volunteers. Each subject received the following four single-dose treatments in a randomized, crossover manner with a one-week washout period between treatments: 400 mg QS liquid, two 200-mg QS tablets, 550 mg QP liquid, and two 275-mg QP tablets. All four treatments were equivalent in terms of the dose of quinidine base. Multiple serum samples and two 24-hour urine specimens were collected over 24 and 48 hours, respectively, and assayed for quinidine with a specific HPLC assay method. For the absorption and disposition parameters measured (maximum serum concentration, time to reach maximum concentration, area under the concentration-time curve [0-48 hours], absorption and elimination rate constants, absorption and elimination half-lives, apparent total body clearance, apparent volume of distribution, and dose fraction excreted in the urine) no significant differences were observed for any of the parameters among the four treatments (p greater than 0.05). The results of the present investigation demonstrated that QP and QS produced identical serum quinidine concentration-time curves when given in the form of a tablet or liquid. The clinical implications of these observations with respect to the dosing of QP are discussed.

Mean time parameters in pharmacokinetics. Definition, computation and clinical implications (Part II)

Part I of this article, which appeared in the previous issue of the Journal, covered the following topics: fundamental definitions, general mean time parameter relationships and mean time parameters of classical compartmental systems. It also offered a number of examples to clarify and illustrate the various concepts.

Comparison of disposition values obtained by two assay methods for quinidine gluconate in patients with ventricular tachycardia

Eight patients with previously untreated ventricular tachycardia, age 48.54 +/- 28.02 years (mean +/- SD), were enrolled in a protocol evaluating the disposition of quinidine gluconate as determined by two assay methods. Patients received two infusions of 5 mg/kg over 30 minutes separated by 20-30 (24.9 +/- 4.0) minutes of electrophysiologic testing. Blood samples were obtained at 0.17 hours and just prior to the second infusion, and then at 0.17, 0.25, 0.33, 1.0, 6.0, 12.0, and 24.0 hours after the second infusion. Paired serum samples were assayed for quinidine concentrations by fluorescence polarization immunoassay and high-performance liquid chromatography. The two assays compared well, with a linear regression equation of Y = 0.927X + 0.247 with a correlation coefficient of 0.985. With the exception of the beta elimination rate constant and beta distribution volume, t test comparison of disposition values demonstrated no significant difference. Differences in the estimates of the beta elimination rate constant reflected differences in the two methods and indicated that even though both assays were comparable, subtle differences in specificity could be reflected in significant differences in this variable.

Disposition of 3-hydroxyquinidine in patients receiving initial intravenous quinidine gluconate for electrophysiology testing of ventricular tachycardia

The formation rate constant and elimination rate constant for 3-hydroxyquinidine were determined in eight patients with ventricular tachycardia. These two parameters (mean +/- SD) were found to be 0.784 +/- 0.202 and 0.042 +/- 0.058 h-1, respectively. Coefficients of determination for the computer-generated line of best fit for serum concentration-time data were 0.986 +/- 0.008. Patients received two infusions of quinidine gluconate 5 mg/kg over 30 minutes separated by a 20-30 minute electrophysiologic testing period. Unbound and total 3-hydroxyquinidine concentrations were also determined. Among the eight patients, 3-hydroxyquinidine was 61.9 percent bound. Studies in healthy volunteers had shown 50 percent binding. Linear regression of unbound and total 3-hydroxyquinidine was described by the equation Y = 0.3814X-1.448, r = 0.813. Although half-lives of 3.5-12.4 hours had been reported in healthy volunteers, prolonged half-lives were observed in all but two of our arrhythmia patients.

Effect of cimetidine on quinidine bioavailability

Elevations in quinidine steady-state serum concentrations have been reported in patients who received cimetidine concurrently. Studies in normal volunteers have shown that areas under the serum concentration-time curve of orally administered quinidine are higher when quinidine is given during chronic cimetidine therapy as compared to under control conditions. The mechanism for this interaction is generally ascribed to decreased hepatic clearance as a consequence of enzyme inhibition. In this study, we show that cimetidine also decreases the bioavailable fraction of quinidine.

The pharmacokinetics and pharmacodynamics of quinidine and 3-hydroxyquinidine

1. The pharmacokinetics and pharmacodynamics of quinidine and 3-hydroxyquinidine based upon measurements of total and unbound serum concentrations were determined after a single dose (400 mg) and at steady state (200 mg every 6 h). 2. The oral clearance (7.6 +/- 1.9 vs 4.8 +/- 2.0 ml min-1 kg-1; P less than 0.05) and renal clearance (1.2 +/- 0.3 vs 0.63 +/- 0.25 ml min-1 kg-1; P less than 0.005) or quinidine were lower during steady state than after the single dose. 3. The area under the serum concentration vs time curve (AUC) of 3-hydroxyquinidine was greater at steady state than after the single dose (2.0 +/- 0.7 vs 3.0 +/- 0.6 mg l-1 h; P less than 0.05) and its renal clearance was less (3.0 +/- 1.1 vs 1.54 +/- 0.38 ml min-1 kg-1; P less than 0.05). 4. The slope of the relationship between quinidine concentration and change in QTc interval was greater at steady state (40.1 +/- 21.7 vs 72.2 +/- 41.7 ms/(mg l-1); P less than 0.05).

On the dose dependency of cyclosporin A absorption and disposition in healthy volunteers

The pharmacokinetics of Cyclosporin A (CyA, Sandimmune) was studied in 12 healthy male volunteers after oral dosing of 350 mg, 700 mg, and 1400 mg as a drinking solution. Blood samples were collected over 96 hr and analyzed by high pressure liquid chromatography. Concentration data were evaluated with model-independent and model-based linear pharmacokinetic concepts. Individual CyA concentration-time profiles in whole blood were well described by a two-compartment open model with zero-order absorption for all three doses. Comparison of pharmacokinetic parameters across doses indicates that both absorption and disposition are dose-dependent. Nonlinear disposition is suggested by the significant increase of the terminal half-life from 8.9 +/- 4.9 hr to 11.9 +/- 4.9 hr (mean +/- SD) after a 350 mg and a 1400 mg dose, respectively. Changes in the metabolic activity of the liver with concentration might be responsible for this phenomenon. In addition, the modeling approach indicated that bioavailability decreases with increasing dose. Moreover, the dependence of the rate of CyA absorption (zero-order rate constant) versus dose was well described by a hyperbola. The limited solubility of the drug in the gastrointestinal tract might be responsible for this behavior. The lag time (0.2-0.8 hr) was independent of dose. This value is similar to the time of gastric emptying in fasting volunteers. The duration of absorption for 11 of 12 subjects was in the range 2.5-3.5 hr over all doses and agrees well with the small intestine transit time. Some subjects showed a marked secondary peak at one or two doses, which could be adequately fitted by a model with two successive zero-order inputs. This double-peak behavior was ascribed to the influence of the food on gastric emptying. Dose dependency of disposition and absorption counterbalance each other in the usual dose range. This leads to an almost proportional increase of area under the blood CyA concentration-time profile with increasing dose.

Theorems and implications of a model-independent elimination/distribution function decomposition of linear and some nonlinear drug dispositions. III. Peripheral bioavailability and distribution time concepts applied to the evaluation of distribution kinetics

Disposition decomposition analysis (DDA) is applied to evaluate the rate and extent of drug delivery from the sampling compartment to the peripheral system, i.e., peripheral bioavailability. Four parameters are introduced which are useful in quantifying peripheral bioavailability. The compounded peripheral bioavailability, F comp, is the ratio between the total compounded amount of drug transferred to the peripheral system and the injected dose, D. The AUC peripheral bioavailability, FAUC, is the ratio between the area under the amount vs. time curves for the peripheral system and the sampling compartment. The distribution time td, is the time following an i.v. bolus at which the net transfer of drug to the peripheral system reverses in direction. The maximum peripheral bioavailability, Fmax, is the maximum fraction of an i.v. bolus dose that is present in the peripheral system at any one time. Equations are derived which permit estimation of those parameters from drug concentrations in the sampling compartment. Simple algorithms and a computer program are provided for estimating Fcomp, FAUC, td, Fmax, and other parameters relevant to DDA for drugs that exhibit a linear polyexponential bolus response. Estimates of Ecomp, FAUC, td, and Fmax are presented for several drugs.

Application of moment analysis in assessing rates of absorption for bioequivalency studies

Moment analysis was utilized in the evaluation of equivalency between test and reference formulations with respect to the rate of absorption for four drugs having different pharmacokinetic characteristics. A confidence interval technique was applied to compare the three relevant absorption parameters, that is, peak plasma concentration (Cmax), time to peak plasma concentration (tmax), and mean absorption time (MAT). Equivalence in the absorption rate of drugs was found to be best evaluated by the combined use of MAT, tmax, and Cmax. Use of these parameters for assessing equivalency requires careful interpretation of the results of statistical analysis as well as appropriate consideration of efficacy and safety issues for individual drugs. In addition, the statistical moment method proves to be useful in the assessment of bioequivalency, particularly for drugs with multiple absorption maxima.

Quinidine and the identification of drugs whose elimination is impaired in subjects classified as poor metabolizers of debrisoquine

Quinidine and its diastereoisomer quinine were tested in vitro for their effect on the 4-hydroxylation of debrisoquine, the O-deethylation of phenacetin and the 1'-hydroxylation of bufuralol, by human liver microsomal samples; quinidine was studied for its effect on debrisoquine 4-hydroxylation in vivo. Quinidine was a potent inhibitor of the 4-hydroxylation of debrisoquine and the 1'-hydroxylation of bufuralol, with IC50 values of 0.7 and 0.2 microM, being around 100 times more potent in this respect than quinine. Very much higher (1000-fold) levels of quinidine were required to inhibit the O-deethylation of phenacetin, being rather less potent in this than quinine. Eight subjects were phenotyped for their debrisoquine oxidation status and found to be extensive metabolisers (EM). They were tested again after the co-administration of 50 mg of quinidine with the debrisoquine. The concomitant administration of quinidine increased the metabolic ratios (MRs) by a mean of 26-fold. The effects of quinidine at a dose of only 50 mg, on the metabolism of a new drug in EM subjects may prove a useful method of assessing the contribution of the debrisoquine 4-hydroxylase isozyme to the elimination of the drug tested.

Single pass mean residence time in peripheral tissues: a distribution parameter intrinsic to the tissue affinity of a drug

The single pass mean residence time in peripheral tissues, tp1, is a characteristic constant of linear pharmacokinetic systems and nonlinear systems with linear distribution kinetics. It is descriptive of distribution kinetics in such systems and is not dependent on elimination kinetics as are other related parameters, e.g., mean residence time in peripheral tissues, tp. Equations are derived which permit estimation of tp1 from experimental data for systems in which no peripheral elimination occurs. The type of data required are systemic drug levels resulting from iv administration. The probability density function for single pass residence time in peripheral tissues is derived. It is shown that tp1 is related to the amount of drug in the peripheral tissues at steady state according to (Ap)ss = CLdCsstp1, where CLd is the distribution clearance, and Css is the steady-state systemic drug level. Values of tp1 are presented for several drugs.

Theorems and implications of a model-independent elimination/distribution function decomposition of linear and some nonlinear drug dispositions. II. Clearance concepts applied to the evaluation of distribution kinetics

The disposition decomposition approach is employed to derive clearance parameters descriptive of drug distribution kinetics. The name distribution clearance, CLd, is given to a characteristic constant of linear and some nonlinear pharmacokinetic systems. CLd is the clearance associated with the steady-state rate of drug transfer from the peripheral tissues to the systemic circulation. Also introduced is the elimination clearance, CLe, which is associated with the total drug transfer rate from the systemic circulation in linear systems. Estimates of CLd and CLe are presented for several drugs.

Intravenous quinidine: relations among concentration, tachyarrhythmia suppression and electrophysiologic actions with inducible sustained ventricular tachycardia

A computer simulation was used to devise quinidine sulfate infusions to produce pseudo-steady-state concentrations in the low (8 microM/liter) and high (14 microM/liter) therapeutic ranges, avoiding high peak concentrations. Using this infusion, efficacy and electrophysiologic actions of quinidine sulfate were assessed in 21 patients with sustained inducible ventricular tachycardia (VT) when concentrations were 12.6 +/- 11 microM/liter (mean +/- standard deviation) and 18 +/- 9 microM/liter. Although mean concentrations approximated target levels, there was substantial individual variation. A reciprocal linear relation (r = 0.8, p less than 0.01) was noted between resultant serum concentrations and drug-free ejection fraction (EF). Transient hypotension occurred early in 3 patients, 2 of whom had a normal left ventricular (LV) EF. No hemodynamic compromise was seen in patients with LVEFs of less than 30%. Induced VT was suppressed in 5 patients at low concentrations and in an additional 4 at high concentrations (total 9 of 21, 42%). Concentration-dependent changes in the ventricular effective refractory period of the beat induced by S3 paralleled antiarrhythmic efficacy. Independent of response or lack of response to intravenous quinidine, 17 patients received gradually increasing oral quinidine dosages adjusted to reproduce plasma levels that had been effective during intravenous administration, or to maximal well-tolerated dosage (if side effects occurred). VT was still inducible during oral treatment in 4 of 5 patients in whom VT had been suppressed during the intravenous infusion.(ABSTRACT TRUNCATED AT 250 WORDS)

Induction of quinidine metabolism and plasma protein binding by phenobarbital in dogs

Two porta-caval transposed mongrel dogs were studied for phenobarbital (PB) induction of quinidine disposition after separate quinidine infusions via normal intravenous route and via portal vein. The plasma concentrations of quinidine and of three metabolites measured (3-OH quinidine, quinidine N-oxide, quinidine 10,11-dihydrodiol) were quite similar between i.v. and portal vein infusions, suggesting that the liver extraction ratio for quinidine in dogs is very low. After PB pretreatment plasma quinidine concentrations at the end of a 10 hr infusion increased about twofold while the half-life decreased from a control value of about 16 hr to 6 hr. Plasma concentrations of the three major metabolites measured were also increased following PB treatment. Plasma protein binding for quinidine and two of its three measured metabolites (3-hydroxy quinidine and quinidine N-oxide) were increased after PB treatment. Pharmacokinetic analysis of the data showed a decrease in steady-state volume of distribution (Vdss) of quinidine from an average value of 153 L to 54 L after PB treatment, while the total clearance did not change (6.6 vs. 5.6 L/hr). This decrease in Vdss could be explained by an increase in plasma protein binding of quinidine after PB treatment. The unbound nonrenal clearance of quinidine was induced by PB treatment. The decrease in fraction free in plasma and increase in unbound nonrenal (hence total) clearance resulted in little or no change in total plasma clearance for quinidine. The formation rate constants calculated for two quinidine metabolites, 3-hydroxy quinidine and quinidine N-oxide, were increased after PB treatment, suggesting an induction in these two metabolic pathways. Only quinidine 10,11-dihydrodiol was found in the bile after quinidine infusion, and the biliary clearance of this metabolite was also induced after PB treatment.

Comparative disposition kinetics of two diastereomeric pairs of cinchona alkaloids in the dog

The comparative disposition kinetics of quinidine, quinine, cinchonine , and cinchonidine were investigated in five male, mongrel dogs after intravenous bolus injections of a 9.2-mmol/kg dose of each alkaloid base. Blood and plasma specimens were obtained at various times up to 6 h postdose and assayed for quinidine and quinine with a TLC-fluorometric procedure and for cinchonine and cinchonidine by HPLC. The plasma alkaloid concentration-time data were analyzed by weighted, nonlinear least-squares regression analysis to obtain the central compartment volume (Vc), disposition rate constants (alpha and beta), and corresponding half-life values (t1/2). Total body clearance (CL) and apparent volume of distribution (Vd) were estimated by nonparametric analysis. In this study, the highest plasma alkaloid concentrations were reached with quinidine and the lowest concentrations with the quinidine congener, cinchonine . The other congeneric pair, quinine and cinchonidine , exhibited plasma alkaloid concentrations that were comparable and intermediate to those of quinidine and cinchonine . With cinchonine and cinchonidine , the plasma and blood concentration-time curves were virtually superimposable. However, with quinidine and quinine, the plasma alkaloid concentrations of these diastereomers were approximately twice the corresponding blood concentrations. The total body clearance rate of quinidine was significantly slower than quinine and cinchonine clearance. No difference in clearance was observed between cinchonine and cinchonidine . The beta and t1/2 beta for quinidine were significantly smaller and larger, respectively, than the corresponding values obtained with the other alkaloids. No significant differences in alpha or Vc and Vd were found between and within the two diastereomeric pairs of alkaloids. The differences in disposition kinetics observed in this study were attributable to an interaction of stereochemical and 6'-methoxy group substitution effects.

Quinidine-induced rise in ajmaline plasma concentration

A high-performance liquid chromatographic method is described for the simultaneous determination of ajmaline and quinidine in human plasma. With 0.5 ml plasma sample of a ajmaline and quinidine, concentrations as low as 0.001 and 0.01 micrograms ml-1, respectively, could be detected and the technique could be used to investigate the effect of quinidine on the pharmacokinetics of ajmaline. Four healthy subjects were given oral ajmaline (50 mg) alone or in combination with quinidine sulphate (200 mg) on separate occasions. When ajmaline was administered alone, its plasma concentrations were less than 0.03 micrograms ml-1. Quinidine induced a marked increase to give a mean peak concentration of ajmaline which increased from 0.018 micrograms ml-1 after a single administration to 0.141 micrograms ml-1 in combination with quinidine. the area under the ajmaline concentration-time curves was increased 10 to 30-fold by the concurrent administration of quinidine. According to the one compartment open model, the absorption rate constant of ajmaline did not change appreciably, but the elimination rate constant was reduced to approximately 50% of the value in the absence of quinidine. The results indicate the existence of a significant interaction between oral ajmaline and quinidine.

Pharmacokinetics of quinidine and three of its metabolites in man

Disposition parameters of quinidine and three of its metabolism, 3-hydroxy quinidine, quinidine N-oxide, and quinidine 10,11-dihydrodiol, were determined in five normal healthy volunteers after prolonged intravenous infusion and multiple oral doses. The plasma concentrations of individual metabolites after 7 hr of constant quinidine infusion at a plasma quinidine level of 2.9 +/- (SD) 0.3 mg/L were: 3-hydroxy quinidine, 0.32 +/- 0.06 mg/L; quinidine N-oxide, 0.28 +/- 0.03 mg/L; and quinidine 10,11-dihydrodiol, 0.13 +/- 0.04 mg/L. Plasma trough levels after 12 oral doses of quinidine sulfate every 4 hr averaged: quinidine, 2.89 +/- 0.50 mg/L; 3-hydroxy quinidine, 0.83 +/- 0.36 mg/L; quinidine N-oxide, 0.40 +/- 0.13 mg/L; and quinidine 10,11-dihydrodiol, 0.38 +/- 0.08 mg/L. Relatively higher plasma concentrations of 3-hydroxy quinidine metabolite after oral dosing probably reflect first-pass formation of this quinidine metabolite. A two-compartment model for quinidine and a one-compartment model for each of the metabolites described the plasma concentration-time curves for both i.v. infusion and multiple oral doses. Mean (+/- SD) disposition parameters for quinidine from individual fits, after i.v. infusion were as follows: Vl, 0.37 +/- 0.09 L/kg; lambda 1, 0.094 +/- 0.009 min-1; lambda 2, 0.0015 +/- 0.0002 min-1; EX2, 0.013 +/- 0.002 min-1; clearance (ClQ), 3.86 +/- 0.83 ml/min/kg. Both plasma and urinary data were used to determine metabolic disposition parameters. Mean (+/- SD) values for the metabolites after i.v. quinidine infusion were as follows: 3-hydroxy quinidine: formation rate constant kmf, 0.0012 +/- 0.0005 min-1, volume of distribution, Vm, 0.99 +/- 0.47 L/kg; and elimination rate constant, kmu 0.0030 +/- 0.0002 min-1. Quinidine N-oxide: kmf, 0.00012 +/- 0.00003 min-1; Vm, 0.068 +/- 0.020 L/kg; and kmu, 0.0063 +/- 0.0008 min-1. Quinidine 10,11-dihydrodiol: kmf, 0.0003 +/- 0.0001 min-1; Vm, 0.43 +/- 0.29 L/kg; and kmu, 0.0059 +/- 0.0010 min-1. Oral absorption of quinidine was described by a zero order process with a bioavailability of 0.78. Concentration dependent renal elimination of 3-hydroxy quinidine was observed in two out of five subjects studied.

First-pass elimination. Basic concepts and clinical consequences

First-pass elimination takes place when a drug is metabolised between its site of administration and the site of sampling for measurement of drug concentration. Clinically, first-pass metabolism is important when the fraction of the dose administered that escapes metabolism is small and variable. The liver is usually assumed to be the major site of first-pass metabolism of a drug administered orally, but other potential sites are the gastrointestinal tract, blood, vascular endothelium, lungs, and the arm from which venous samples are taken. Bioavailability, defined as the ratio of the areas under the blood concentration-time curves, after extra- and intravascular drug administration (corrected for dosage if necessary), is often used as a measure of the extent of first-pass metabolism. When several sites of first-pass metabolism are in series, the bioavailability is the product of the fractions of drug entering the tissue that escape loss at each site. The extent of first-pass metabolism in the liver and intestinal wall depends on a number of physiological factors. The major factors are enzyme activity, plasma protein and blood cell binding, and gastrointestinal motility. Models that describe the dependence of bioavailability on changes in these physiological variables have been developed for drugs subject to first-pass metabolism only in the liver. Two that have been applied widely are the 'well-stirred' and 'parallel tube' models. Discrimination between the 2 models may be performed under linear conditions in which all pharmacokinetic parameters are independent of concentration and time. The predictions of the models are similar when bioavailability is large but differ dramatically when bioavailability is small. The 'parallel tube' model always predicts a much greater change in bioavailability than the 'well-stirred' model for a given change in drug-metabolising enzyme activity, blood flow, or fraction of drug unbound. Many clinically important drugs undergo considerable first-pass metabolism after an oral dose. Drugs in this category include alprenolol, amitriptyline, dihydroergotamine, 5-fluorouracil, hydralazine, isoprenaline (isoproterenol), lignocaine (lidocaine), lorcainide, pethidine (meperidine), mercaptopurine, metoprolol, morphine, neostigmine, nifedipine, pentazocine and propranolol. One major therapeutic implication of extensive first-pass metabolism is that much larger oral doses than intravenous doses are required to achieve equivalent plasma concentrations. For some drugs, extensive first-pass metabolism precludes their use as oral agents (e. g. lignocaine, naloxone and glyceryl trinitrate).(ABSTRACT TRUNCATED AT 400 WORDS)

Urinary excretion kinetics of intact quinidine and 3-OH-quinidine after oral administration of a single oral dose of quinidine gluconate in the fasting and non-fasting state

To obtain more precise urinary excretion data of intact quinidine (D) and its main metabolite, 3-OH-quinidine (DM), the specific HPLC method of Bonora et al has been used to follow its urinary excretion kinetics. In a cross-over study, 2 commercial dosage forms of quinidine gluconate, fast- and slow-release, were administered to 18 healthy subjects who had fasted for 10 hours in 3 treatments which were administered during the fasting period (T1), and before (T2) of after (T3) a standard breakfast. The urine was collected at fixed time intervals for 72 hours after the administration of a single dose (405 mg of quinidine base). The difference between the drug release characteristics of the two products was studied by analysing the cumulative amount of D and DM excreted as a function of time, and the time required to reach the maximum value for the urinary excretion rate of intact quinidine. A food effect could be noticed among treatments with the conventional fast-release dosage form when comparing the maximum values of the urinary excretion rate of D (T2 greater than T1). There was no significant difference in the percentage of drug absorbed from the 2 products, according to the data on the cumulative amount of D and DM. The parameters estimated for quinidine and the metabolite were: the apparent half-life of elimination, the urinary excretion rates and the time to reach a maximum value in the urinary excretion rate. The urinary excretion rate constant and the renal clearance were also quantified for quinidine by combining urinary parameters with the corresponding serum data previously reported.

Effect of food and an antacid on quinidine bioavailability

Two 200 mg quinidine sulfate tablets were administered to nine healthy male subjects in the fasting state, immediately after a balanced meal, and with 30 ml of aluminum hydroxide gel using a complete crossover design. Serum and urine samples were taken over 32 and 60 h, respectively. Quinidine concentrations were measured using a high-performance liquid chromatography assay specific for quinidine. Computer fitting of the data to several models indicated that a one-compartment model with zero-order absorption and a lag time best fit all the data. Quinidine elimination and urine pH were unaffected by the study conditions. While the maximum serum concentration (Cmax) and area under the serum concentration-time curve (AUC) were unaffected by administration of quinidine with food or antacid, there was a 44 per cent increase (p less than 0.10) in time to Cmax (tmax) following quinidine administration with food. Thus, while the extent of quinidine absorption was unaffected by food or the antacid used, the rate of quinidine absorption was significantly reduced by food as reported earlier.

Pharmacokinetics in man of a new antiarrhythmic drug, cibenzoline

The kinetics of cibenzoline (UP 339.01), a new antiarrhythmic drug, was studied after i.v. and oral administration to 5 healthy subjects. Cibenzoline levels in plasma and urine cibenzoline were measured by a GLC method. After i.v. administration, the total clearance was 826 ml . min-1. The fraction of cibenzoline excreted unchanged in the urine was 0.602 and it was correlated with the creatinine clearance. After i.v. and oral administration, the renal clearances were 499 ml . min-1 and 439 ml . min-1, and the half-lives were 4 h 01 min and 3 h 24 min, respectively. The differences were not significant. Availability by the oral route was 0.92, the maximum plasma concentration being observed at 1 h 36 min. The results were compared with those for other antiarrhythmic drugs.

Bioavailability of a commercial sustained-release quinidine tablet compared to oral quinidine solution

The bioavailability of quinidine sulfate after oral administration of a commercial sustained-release quinidine tablet was compared with that of oral quinidine sulfate solution in 18 normal subjects. Three hundred milligrams of each product was administered to each subject in standard cross-over fashion on separate occasions, with plasma quinidine levels measured for 46 h after each dose. Although peak plasma quinidine levels were lower, and occurred later, after tablet administration than after solution, analysis of the area under the plasma quinidine level-time curve (AUC) values for each product indicated that the products were equivalent, in terms of the extent of absorption, with the mean AUC (0-46 h) value for the tablet, 8744 . 4 ng x h ml-1, comparable to that of the solution, 9145 . 9 ng x h ml-1.

Serious bioavailability problems with a generic prolonged-release quinidine gluconate product

A recently marketed prolonged-release quinidine gluconate tablet was compared with the innovator's tablet in a single-dose bioavailability study with 12 healthy male subjects. The extent of absorption of quinidine from the new marketed product was only 50 per cent of the innovator's product. This finding, as well as projections of steady-state plasma concentrations to be expected during multiple-dose administration, indicated a bioequivalence problem with medically significant implications. The data obtained in this study resulted in a Class I recall of the less completely absorbed product by the U.S. Food and Drug Administration.

Bioavailability of quinidine in congestive heart failure

1 The oral bioavailability of quinidine was evaluated in eight patients with moderate to severe congestive heart failure. Each patient was given a 400 mg dose of quinidine gluconate by intravenous infusion and orally in solution. Serial plasma samples and total urine for drug analysis were collected for 24 and 48 h after drug administration, respectively. 2 When compared to control cardiac patients, the rate of quinidine absorption was slower in the heart failure patients. The mean value for the apparent absorption half-life and time to achieve peak plasma quinidine concentration was 38 +/- 18 min and 2.4 +/- 1.5 h respectively. The corresponding values observed in the control subjects were 18 +/- 6 min and 1.0 +/- 0.6 h. 3 The extent of quinidine absorption when evaluated by the AUC and urinary excretion methods was about 72% of the administered dose in the congestive heart failure patients. This value was similar to the extent of quinidine absorption (approximately 73%) observed in the control subjects. 5 When compared with non-heart failure cardiac patients, the results of this study suggest that patients with congestive heart failure may require smaller oral quinidine dosages to achieve therapeutic drug concentrations in the plasma or serum.

Bioavailability of 11 quinidine formulations adn pharmacokinetic variation in humans

The bioavailabilities of eight quinidine sulfate, two gluconate, and one polygalacturonate formulations were compared, with one of the sulfate formulations as a reference (R) in a panel of 24 volunteers, according to a design comprising duplicate 6 x 6 Latin squares in two subject groups. Only one gluconate formulation (H) gave a significantly lower (p less than 0.05) area under the curve from 0 to 30 hr (AUC30), 90% or R, which was not as significant as AUC infinity (94% of R). Formulation H also gave a significantly lower peak concentration (Cmax) and a longer time to peak concentration (tmax) and generally exhibited some characteristics of sustained-release product. In addition, one product (F) gave a significantly higher Cmax while another formulation (D) gave a longer tmax. The wide range of dissolution times obtained with these products with three test conditions was not reflected in the AUC, Cmax, or tmax values obtained, except the Formulation H was consistently the slowest to dissolve. The terminal rate constants, expressed as t 1/2, of the 24 subjects gave an overall mean of 7.49 +/- 0.77 hr and ranged from 6.24 +/- 0.28 to 0.49 +/- 0.90 hr in individuals. The estimated total body clearance, with the assumption that the oral bioavailability was 70%, gave an overall mean of 4.22 +/- 1.05 and ranged from 2.49 +/- 0.28 to 6.42 +/- 0.70 mg/min/kg in individuals, demonstrating the wide range of quinidine disposition even in healthy subjects; this finding is in agreement with recently published results.

The effect of quinidine and its metabolites on the electrocardiogram and systolic time intervals: concentration--effect relationships

1 A combined pharmacokinetic and pharmacodynamic model has been used to analyze the relationship between electrocardiographic (ECG) and systolic time intervals (STI) and changes in plasma concentration of quinidine after oral and i.v. doses in ten normal subjects. 2 The major effects of quinidine were on cardiac repolarization. Contrary to previous descriptions, we found no important change in the U wave, but the T wave was split into two peaks. The amplitude of these two peaks (T and T') was reduced, and the QT' peak and QT intervals were prolonged. The QT peak interval and systolic intervals did not change appreciably. There were small increases in the PQ and QRS intervals. 3 The effect of quinidine on the QT interval could be explained by a linear pharmacodynamic model. The equilibration between plasma and effect site had a half-time of 8 min. The slope of the pharmacodynamic model was 20.3 ms . mg 1(-1) after i.v. dosing and 33.5 ms . mg 1(-1) after oral dosing. 4 The difference in effect model slopes suggests pharmacologically active metabolites of quinidine are formed during absorption from the gut. 5 The total effect of a single oral dose of quinidine appears to be the same as the same dose given intravenously, even though only 70% of the oral dose reaches the systemic circulation as quinidine.