Extensión de tiempo QT
Efectos adversos de las drogas
Variantes ✨Para la evaluación computacionalmente intensiva de las variantes, elija la suscripción estándar paga.
Áreas de aplicación
Explicaciones para pacientes
|Carbamazepina||1.1 [1.1,1.66] 1||1||1.1|
Los cambios en la exposición mencionados se refieren a cambios en la curva de concentración plasmática-tiempo [AUC]. La exposición a carbamazepina aumenta al 110%, cuando se combina con alprazolam (100%) y itraconazol (110%). El AUC está entre 110% y 166% dependiendo del
Los parámetros farmacocinéticos de la población media se utilizan como punto de partida para calcular los cambios individuales en la exposición debidos a las interacciones.
La alprazolam tiene una alta biodisponibilidad oral [ F ] del 88%, por lo que los niveles plasmáticos máximos [Cmax] tienden a cambiar poco durante una interacción. La vida media terminal [ t12 ] es de 11.7 horas y se alcanzan niveles plasmáticos constantes [ Css ] después de aproximadamente 46.8 horas. La unión a proteínas [ Pb ] es moderadamente fuerte al 70.2% y el volumen de distribución [ Vd ] es de 50 litros en el rango medio, Dado que la sustancia tiene una tasa de extracción hepática baja de 0,9, el desplazamiento de la unión a proteínas [Pb] en el contexto de una interacción puede aumentar la exposición. El metabolismo tiene lugar principalmente a través de CYP3A4..
La itraconazol tiene una biodisponibilidad oral media [ F ] del 55%, por lo que los niveles plasmáticos máximos [Cmax] tienden a cambiar con una interacción. La vida media terminal [ t12 ] es de 21 horas y se alcanzan niveles plasmáticos constantes [ Css ] después de aproximadamente 84 horas. La unión a proteínas [ Pb ] es muy fuerte al 99.8% y el volumen de distribución [ Vd ] es muy grande a 796 litros, por eso, con una tasa de extracción hepática media de 0,9, tanto el flujo sanguíneo hepático [Q] como un cambio en la unión a proteínas [Pb] son relevantes. El metabolismo tiene lugar principalmente a través de CYP3A4. y el transporte activo tiene lugar en particular a través de PGP.
La carbamazepina tiene una biodisponibilidad oral media [ F ] del 78%, por lo que los niveles plasmáticos máximos [Cmax] tienden a cambiar con una interacción. La vida media terminal [ t12 ] es de 20 horas y se alcanzan niveles plasmáticos constantes [ Css ] después de aproximadamente 80 horas. La unión a proteínas [ Pb ] es moderadamente fuerte al 77.2% y el volumen de distribución [ Vd ] es muy grande a 90 litros, Dado que la sustancia tiene una tasa de extracción hepática baja de 0,9, el desplazamiento de la unión a proteínas [Pb] en el contexto de una interacción puede aumentar la exposición. El metabolismo tiene lugar a través de CYP1A2, CYP2C8, CYP2C9 y CYP3A4, entre otros..
|Efectos serotoninérgicos a||0||Ø||Ø||Ø|
Clasificación: Según nuestro conocimiento, ni la alprazolam, itraconazol ni la carbamazepina aumentan la actividad serotoninérgica.
Recomendación: El riesgo de efectos secundarios anticolinérgicos como visión borrosa, confusión y temblor aumenta con esta terapia. Si es posible, se debe cambiar la terapia o se debe vigilar de cerca al paciente para detectar otros síntomas como Se controlan el estreñimiento, la midriasis y la vigilancia reducida.
Clasificación: Juntas, la carbamazepina (moderar) y la alprazolam (leve) aumentan la actividad anticolinérgica. Según nuestros hallazgos, la itraconazol no aumenta la actividad anticolinérgica.
Extensión de tiempo QT
Recomendación: Asegúrese de minimizar los factores de riesgo influibles. Las alteraciones electrolíticas, como los bajos niveles de calcio, potasio y magnesio, deben compensarse. Se debe usar la dosis efectiva más baja de itraconazol.
Clasificación: La itraconazol puede prolongar potencialmente el tiempo QT y, si hay factores de riesgo, se pueden favorecer las arritmias del tipo torsades de pointes. No conocemos ningún potencial de prolongación del intervalo QT para alprazolam y carbamazepina.
Efectos secundarios generales
|Efectos secundarios||∑ frecuencia||alp||itr||car|
|Problema de coordinación||24.8 %||24.8↓||n.a.||n.a.|
|Deterioro de la memoria||24.3 %||24.3↓||n.a.||n.a.|
|Apetito incrementado||19.9 %||19.9↓||n.a.||n.a.|
Aumento de peso (14.9%): alprazolam
Náusea (14.4%): carbamazepina, itraconazol
Xerostomía (13.3%): carbamazepina, alprazolam
Vómitos (12.6%): carbamazepina, itraconazol
Dolor abdominal (2.9%): itraconazol
Diarrea (2.9%): itraconazol
Depresión (11.7%): alprazolam
Efecto rebote: alprazolam
Reduccion de la libido (10.2%): alprazolam
Reacciones alérgicas de la piel (10%): carbamazepina
Erupción (6%): itraconazol
Prurito (4%): itraconazol
Síndrome de Stevens-Johnson: carbamazepina, alprazolam
Necrolisis epidérmica toxica: carbamazepina
Nasofaringitis (9%): itraconazol
Infeccion de las vias respiratorias altas (8%): itraconazol
Sinusitis (4.5%): itraconazol
Edema pulmonar: itraconazol
Dolor de cabeza (6.1%): itraconazol
Confusión (6%): alprazolam
Visión borrosa (5.5%): carbamazepina
Edema periférico (5%): carbamazepina, itraconazol
Hipertensión (3%): itraconazol
Bloqueo auriculoventricular: carbamazepina
Insuficiencia cardiaca: itraconazol
Fiebre (2.5%): itraconazol
Leucopenia (2%): carbamazepina
Hepatitis colestásica: carbamazepina
Síndrome de los conductillos biliares evanescentes: carbamazepina
Insuficiencia hepática: alprazolam
Reacción de hipersensibilidad: carbamazepina, itraconazol
Nefritis tubulointersticial: carbamazepina
Pérdida de la audición: itraconazol
Con base en sus
Referencias de literatura
Abstract: The interaction between fluoxetine and carbamazepine was investigated in six normal, healthy male volunteers (aged 23 to 40 years). Subjects were given carbamazepine, 400 mg every morning, for 3 weeks. Venous carbamazepine blood samples were obtained at baseline and 1, 2, 4, 6, 8, 10, 12, and 24 hours after the morning dose. Fluoxetine, 20 mg every morning, was then coadministered with carbamazepine for 7 days. Venous carbamazepine blood samples were again obtained as described. Carbamazepine and carbamazepine-10,11-epoxide (CBZE) were assayed by HPLC. Addition of fluoxetine resulted in a significant increase in the area under the concentration-time curve of carbamazepine (105.93 +/- 18.05 micrograms/ml.hr versus 134.97 +/- 12.15 micrograms/ml.hr; t = 3.284; df = 5; p = 0.022) and CBZE (11.6 +/- 1.93 micrograms/ml.hr versus 15.2 +/- 2.4 micrograms/ml.hr; t = 2.805; df = 5; p = 0.038). Both oral and intrinsic clearance of carbamazepine was decreased significantly on fluoxetine addition (3.87 +/- 0.68 L/hr versus 2.98 +/- 0.26 L/hr; t = 3.025; df = 5; p = 0.029 and 17.90 +/- 4.9 L/hr versus 11.92 +/- 1.4 L/hr; t = 3.037; df = 5; p = 0.029, respectively). No significant changes were determined for fraction of absorbed dose, volume of distribution, absorption rate constant, and elimination rate constant. These findings suggest that fluoxetine can inhibit the metabolism of carbamazepine. Careful monitoring of patients is recommended when these two drugs are coadministered.
Abstract: Alprazolam is a short-acting triazolobenzodiazepine with anxiolytic and antidepressant properties. It has a half-life of 10-15 hours after multiple oral doses. Approximately 20% of an oral dose is excreted unchanged in the urine. The major urinary metabolites are alpha-OH alprazolam glucuronide and 3-HMB benzophenone glucuronide. The objective of this study was to characterize the reactivity of alprazolam and three metabolites in the Abbott ADx and TDx urinary benzodiazepine assays compared with the EMIT d.a.u. benzodiazepine assay. Alprazolam (at 300 ng/mL) gave an equivalent response as the 300 ng/mL low control (nordiazepam). alpha-OH alprazolam gave an equivalent response to this control between 300-500 ng/mL and 4-OH alprazolam between 500-1000 ng/mL. The 3-HMB benzophenone was not positive even at 10,000 ng/mL. The ADx screening assay was positive in 26 of 31 urine specimens collected from alprazolam-treated patients. All 31 of these specimens were confirmed positive for alpha-OH alprazolam by GC/MS after enzymatic hydrolysis and formation of a TMS derivative. For the TDx, 27 of 31 specimens were positive for benzodiazepines and all 31 were confirmed by GC/MS. All 5 of the negative ADx specimens and 4 of 5 TDx specimens contained 150-400 ng/mL of alpha-OH alprazolam. In conclusion, both the ADx and TDx urine benzodiazepine assays are acceptable screening assays for alprazolam use when the alpha-OH alprazolam concentration is greater than 400 ng/mL.
Abstract: Alprazolam, a triazolobenzodiazepine, is the first of this new class of benzodiazepine drugs to be marketed in the United States and Canada. It achieves peak serum levels in 0.7 to 2.1 hours and has a serum half-life of 12 to 15 hours. When given in the recommended daily dosage of 0.5 to 4.0 mg, it is as effective as diazepam and chlordiazepoxide as an anxiolytic agent. Its currently approved indication is for the treatment of anxiety disorders and symptoms of anxiety, including anxiety associated with depression. Although currently not approved for the treatment of depressive disorders, studies published to date have demonstrated that alprazolam compares favorably with standard tricyclic antidepressants. Also undergoing investigation is the potential role of alprazolam in the treatment of panic disorders. Alprazolam has been used in elderly patients with beneficial results and a low frequency of adverse reactions. Its primary side effect, drowsiness, is less than that produced by diazepam at comparable doses. Data on toxicity, tolerance, and withdrawal profile are limited, but alprazolam seems to be at least comparable to other benzodiazepines. Drug interaction data are also limited, and care should be exercised when prescribing alprazolam for patients taking other psychotropic drugs because of potential additive depressant effects.
Abstract: Six fasting male subjects (20-32 years of age) received an oral tablet and an IV 1.0-mg dose of alprazolam in a crossover-design study. Alprazolam plasma concentration in multiple samples during 36 h after dosing was determined by electron-capture gas-liquid chromatography. Psychomotor performance tests, digit-symbol substitution (DSS), and perceptual speed (PS) were administered at 0, 1.25, 2.25, 5.0, and 12.5 h. Sedation was assessed by the subjects and by an observer using the Stanford Sleepiness Scale and a Nurse Rating Sedation Scale (NRSS), respectively. Mean kinetic parameters after IV and oral alprazolam were as follows: volume of distribution (Vd) 0.72 and 0.84 l/kg; elimination half-life (t1/2) 11.7 and 11.8 h; clearance (Cl) 0.74 and 0.89 ml/min/kg. There were no significant differences between IV and oral alprazolam in Vd, t1/2, or area under the curve. The mean fraction absorbed after oral administration was 0.92. Performance on PS and DSS tests was impaired at 1.25 and 2.5 h, but had returned to baseline at 5.0 h for both treatments. Onset of sedation was rapid after IV administration and the average time of peak sedation was 0.48 h. Sedation scores were significantly lower during hour 1 after oral administration than after IV, but were not significantly different at later times. Alprazolam is fully available after oral administration and kinetic parameters are not affected by route of administration. With the exception of rapidity of onset, the pharmacodynamic profiles of IV and oral alprazolam are very similar after a 1.0-mg dose.
Abstract: A number of drugs inhibit the metabolism of carbamazepine catalyzed by cytochrome P450, sometimes resulting in carbamazepine intoxication. However, there is little information available concerning the identity of the specific isoforms of P450 responsible for the metabolism of this drug. This study addressed the role of CYP3A4 in the formation of carbamazepine-10,11-epoxide, the major metabolite of carbamazepine. Results of the study showed that: (1) purified CYP3A4 catalyzed 10,11-epoxidation; (2) cDNA-expressed CYP3A4 catalyzed 10,11-epoxidation (Vmax = 1730 pmol/min/nmol P450, Km = 442 microM); (3) the rate of 10,11-epoxidation correlated with CYP3A4 content in microsomes from sixteen human livers (r2 = 0.57, P < 0.001); (4) triacetyloleandomycin and anti-CYP3A4 IgG reduced 10,11-epoxidation to 31 +/- 6% (sixteen livers) and 43 +/- 2% (four livers) of control rates, respectively; and (5) microsomal 10,11-epoxidation but not phenol formation was activated 2- to 3-fold by alpha-naphthoflavone and progesterone and by carbamazepine itself (substrate activation). These findings indicate that CYP3A4 is the principal catalyst of 10,11-epoxide formation in human liver. Experiments utilizing a panel of P450 isoform selective inhibitors also suggested a minor involvement of CYP2C8 in liver microsomal 10,11-epoxidation. Epoxidation by CYP2C8 was confirmed in incubations of carbamazepine with cDNA-expressed CYP2C8. The role of CYP3A4 in the major pathway of carbamazepine elimination is consistent with the number of inhibitory drug interactions associated with its clinical use, interactions that result from a perturbation of CYP3A4 catalytic activity.
Abstract: No Abstract available
Abstract: BACKGROUND: St John's Wort is a popular herbal product used by approximately 7% of patients with epilepsy. Previous reports have described reductions in concentrations of CYP3A4 substrates indinavir and cyclosporine (INN, ciclosporin) associated with St John's Wort. OBJECTIVE: Our objective was to determine the effect of St John's Wort on steady state carbamazepine and carbamazepine-10,11-epoxide pharmacokinetics. METHODS AND SUBJECTS: Eight healthy volunteers (5 men; age range, 24-43 years) participated in this unblinded study. Subjects received 100 mg of carbamazepine twice daily for 3 days, 200 mg twice daily for 3 days, and then 400 mg once daily for 14 days. Blood samples were collected before and 1, 2, 4, 6, 8, 10, 12, and 24 hours after the dose on day 21. The subjects then took 300 mg of St John's Wort (0.3% hypericin standardized tablet) 3 times daily with meals and with carbamazepine for 14 days. On day 35, blood sampling was repeated. Plasma samples were analyzed for carbamazepine and carbamazepine-10,11-epoxide with HPLC. We compared carbamazepine and carbamazepine-10,11-epoxide noncompartmental pharmacokinetic parameter values before and after St John's Wort with a paired Student t test. RESULTS: We found no significant differences before or after the administration of St John's Wort in carbamazepine peak concentration (7.2 +/- 1 mg/L before versus 7.6 +/- 1.3 mg/L after), trough concentration (4.8 +/- 0.5 mg/L before versus 4.3 +/- 0.8 mg/L after), area under the plasma concentration-time curve (142.4 +/- 12.9 mg x h/L before versus 143.8 +/- 27.2 mg x h/L after), or oral clearance (2.8 +/- 0.3 L/h before versus 2.9 +/- 0.6 L/h after). Similarly, no differences were found in peak concentration (2 +/- 0.5 mg/L before versus 2.1 +/- 0.4 mg/L after), trough concentration (1.3 +/- 0.3 mg/L before versus 1.4 +/- 0.3 mg/L after), and area under the plasma concentration-time curve (37.5 +/- 7.4 mg x h/L before versus 41.9 +/- 10.3 mg x h/L after) of carbamazepine-10,11-epoxide. CONCLUSIONS: The results suggest that treatment with St John's Wort for 14 days did not further induce the clearance of carbamazepine.
Abstract: Itraconazole (ITZ) is a potent inhibitor of CYP3A in vivo. However, unbound plasma concentrations of ITZ are much lower than its reported in vitro Ki, and no clinically significant interactions would be expected based on a reversible mechanism of inhibition. The purpose of this study was to evaluate the reasons for the in vitro-in vivo discrepancy. The metabolism of ITZ by CYP3A4 was studied. Three metabolites were detected: hydroxy-itraconazole (OH-ITZ), a known in vivo metabolite of ITZ, and two new metabolites: keto-itraconazole (keto-ITZ) and N-desalkyl-itraconazole (ND-ITZ). OHITZ and keto-ITZ were also substrates of CYP3A4. Using a substrate depletion kinetic approach for parameter determination, ITZ exhibited an unbound K(m) of 3.9 nM and an intrinsic clearance (CLint) of 69.3 ml.min(-1).nmol CYP3A4(-1). The respective unbound Km values for OH-ITZ and keto-ITZ were 27 nM and 1.4 nM and the CLint values were 19.8 and 62.5 ml.min(-1).nmol CYP3A4(-1). Inhibition of CYP3A4 by ITZ, OH-ITZ, keto-ITZ, and ND-ITZ was evaluated using hydroxylation of midazolam as a probe reaction. Both ITZ and OH-ITZ were competitive inhibitors of CYP3A4, with unbound Ki (1.3 nM for ITZ and 14.4 nM for OH-ITZ) close to their respective Km. ITZ, OH-ITZ, keto-ITZ and ND-ITZ exhibited unbound IC50 values of 6.1 nM, 4.6 nM, 7.0 nM, and 0.4 nM, respectively, when coincubated with human liver microsomes and midazolam (substrate concentration < Km). These findings demonstrate that ITZ metabolites are as potent as or more potent CYP3A4 inhibitors than ITZ itself, and thus may contribute to the inhibition of CYP3A4 observed in vivo after ITZ dosing.
Abstract: OBJECTIVE: Our objective was to evaluate the effect of the CYP3A5 genotype on the pharmacokinetics and pharmacodynamics of alprazolam in healthy volunteers. METHODS: Nineteen healthy male volunteers were divided into 3 groups on the basis of the genetic polymorphism of CYP3A5. The groups comprised subjects with CYP3A5*1/*1 (n=5), CYP3A5*1/*3 (n=7), or CYP3A5*3/*3 (n=7). After a single oral 1-mg dose of alprazolam, plasma concentrations of alprazolam were measured up to 72 hours, together with assessment of psychomotor function by use of the Digit Symbol Substitution Test, according to CYP3A5 genotype. RESULTS: The area under the plasma concentration-time curve for alprazolam was significantly greater in subjects with CYP3A5*3/*3 (830.5+/-160.4 ng . h/mL [mean+/-SD]) than in those with CYP3A5*1/*1 (599.9+/-141.0 ng . h/mL) (P=.030). The oral clearance of alprazolam was also significantly different between the CYP3A5*1/*1 group (3.5+/-0.8 L/h) and CYP3A5*3/*3 group (2.5+/-0.5 L/h) (P=.036). Although a trend was noted for the area under the Digit Symbol Substitution Test score change-time curve (area under the effect curve) to be greater in subjects with CYP3A5*3/*3 (177.2+/-84.6) than in those with CYP3A5*1/*1 (107.5+/-44), the difference did not reach statistical significance (P=.148). CONCLUSIONS: The CYP3A5*3 genotype affects the disposition of alprazolam and thus influences the plasma levels of alprazolam.
Abstract: Itraconazole (ITZ) is metabolized in vitro to three inhibitory metabolites: hydroxy-itraconazole (OH-ITZ), keto-itraconazole (keto-ITZ), and N-desalkyl-itraconazole (ND-ITZ). The goal of this study was to determine the contribution of these metabolites to drug-drug interactions caused by ITZ. Six healthy volunteers received 100 mg ITZ orally for 7 days, and pharmacokinetic analysis was conducted at days 1 and 7 of the study. The extent of CYP3A4 inhibition by ITZ and its metabolites was predicted using this data. ITZ, OH-ITZ, keto-ITZ, and ND-ITZ were detected in plasma samples of all volunteers. A 3.9-fold decrease in the hepatic intrinsic clearance of a CYP3A4 substrate was predicted using the average unbound steady-state concentrations (C(ss,ave,u)) and liver microsomal inhibition constants for ITZ, OH-ITZ, keto-ITZ, and ND-ITZ. Accounting for circulating metabolites of ITZ significantly improved the in vitro to in vivo extrapolation of CYP3A4 inhibition compared to a consideration of ITZ exposure alone.
Abstract: PURPOSE: The objective is to confirm if the prediction of the drug-drug interaction using a physiologically based pharmacokinetic (PBPK) model is more accurate. In vivo Ki values were estimated using PBPK model to confirm whether in vitro Ki values are suitable. METHOD: The plasma concentration-time profiles for the substrate with coadministration of an inhibitor were collected from the literature and were fitted to the PBPK model to estimate the in vivo Ki values. The AUC ratios predicted by the PBPK model using in vivo Ki values were compared with those by the conventional method assuming constant inhibitor concentration. RESULTS: The in vivo Ki values of 11 inhibitors were estimated. When the in vivo Ki values became relatively lower, the in vitro Ki values were overestimated. This discrepancy between in vitro and in vivo Ki values became larger with an increase in lipophilicity. The prediction from the PBPK model involving the time profile of the inhibitor concentration was more accurate than the prediction by the conventional methods. CONCLUSION: A discrepancy between the in vivo and in vitro Ki values was observed. The prediction using in vivo Ki values and the PBPK model was more accurate than the conventional methods.
Abstract: BACKGROUND: Roughly 20% of patients in hospital have impaired kidney function. This is frequently overlooked because of the creatinine-blind range in which early stages of renal failure are often hidden. Chronic kidney disease is divided into 5 stages (CKD 1 to 5). METHODS: Selective literature search. RESULTS: Methotrexate, enoxaparin and metformin are examples of drugs that should no longer be prescribed if the glomerular filtration rate (GFR) is 60 mL/min or less. With antidiabetic (e.g. glibenclamide), cardiovascular (e.g. atenolol) or anticonvulsive (e.g. gabapentin) drugs, the advice is to use alternative preparations such as gliquidone, metoprolol or carbamazepine which are independent of kidney function. Drug dose adjustment should be considered with antimicrobial (e.g. ampicillin, cefazolin), antiviral (e.g. aciclovir, oseltamivir) and, most recently, also for half of all chemotherapeutic and cytotoxic drugs in patients with impaired kidney function (with e.g. cisplatin, for instance, but not with paclitaxel). CONCLUSION: Decisions concerning drug dose adjustment must be based on the pharmacokinetics but this is an adequate prerequisite only in conjunction with the pharmacodynamics. There are two different dose adjustment rules: proportional dose reduction according to Luzius Dettli, and the half dosage rule according to Calvin Kunin. The latter leads to higher trough concentrations but is probably more efficient for anti-infective therapy.
Abstract: Carbamazepine is a widely prescribed antiepileptic drug. Owing to the lack of an intravenous formulation, its absolute bioavailability, absolute clearance, and half-life in patients at steady state have not been determined. We developed an intravenous, stable-labeled (SL) formulation in order to characterize carbamazepine pharmacokinetics in patients. Ninety-two patients received a 100-mg infusion of SL-carbamazepine as part of their morning dose. Blood samples were collected up to 96 hours after drug administration. Plasma drug concentrations were measured with liquid chromatography-mass spectrometry, and concentration-time data were analyzed using a noncompartmental approach. Absolute clearance (l/hr/kg) was significantly lower in men (0.039 ± 0.017) than in women (0.049 ± 0.018; P = 0.007) and in African Americans (0.039 ± 0.017) when compared with Caucasians (0.048 ± 0.018; P = 0.019). Half-life was significantly longer in men than in women as well as in African Americans as compared with Caucasians. The absolute bioavailability was 0.78. Sex and racial differences in clearance may contribute to variable dosing requirements and clinical response.
Abstract: To facilitate therapeutic monitoring of antiepileptic drugs (AEDs) by healthcare professionals for patients with epilepsy (PWE), we applied a GC-MS assay to measure three AEDs: carbamazepine (CBZ), phenytoin (PHT) and valproic acid (VPA) levels concurrently in one dried blood spot (DBS), and validated the DBS-measured levels to their plasma levels. 169 PWE on either mono- or polytherapy of CBZ, PHT or/and VPA were included. One DBS, containing ∼15 µL of blood, was acquired for the simultaneous measurement of the drug levels using GC-MS. Simple Deming regressions were performed to correlate the DBS levels with the plasma levels determined by the conventional immunoturbimetric assay in clinical practice. Statistical analyses of the results were done using MedCalc Version 18.104.22.168 and SPSS 21. DBS concentrations (Cdbs) were well-correlated to the plasma concentrations (Cplasma): r=0.8381, 0.9305 and 0.8531 for CBZ, PHT and VPA respectively, The conversion formulas from Cdbs to plasma concentrations were [0.89×CdbsCBZ+1.00]µg/mL, [1.11×CdbsPHT-1.00]µg/mL and [0.92×CdbsVPA+12.48]µg/mL respectively. Inclusion of the red blood cells (RBC)/plasma partition ratio (K) and the individual hematocrit levels in the estimation of the theoretical Cplasma from Cdbs of PHT and VPA further improved the identity between the observed and the estimated theoretical Cplasma. Bland-Altman plots indicated that the theoretical and observed Cplasma of PHT and VPA agreed well, and >93.0% of concentrations was within 95% CI (±2SD); and similar agreement (1∶1) was also found between the observed Cdbs and Cplasma of CBZ. As the Cplasma of CBZ, PHT and VPA can be accurately estimated from their Cdbs, DBS can therefore be used for drug monitoring in PWE on any of these AEDs.
Abstract: The aim of the present study was to investigate the distribution ofvariantsand, as well as their effect on carbamazepine pharmacokinetic properties, in 40 epileptic pediatric patients on carbamazepine treatment. Genotyping was conducted using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), and allele-specific (AS)-PCR methods, and steady-state carbamazepine plasma concentrations were determined by high performance liquid chromatography (HPLC). Theandpolymorphisms were found at frequencies of 17.5 and 0.0%, respectively. After dose adjustment, there was a difference in daily dose incarriers compared to non carriers [mean ± standard deviation (SD): 14.19 ± 5.39. 15.46 ± 4.35 mg/kg;= 0.5]. Dose-normalized serum concentration of carbamazepine was higher in(mean ± SD: 0.54 ± 0.18 vs. 0.43 ± 0.11 mg/mL,= 0.04), and the observed correlation between weight-adjusted carbamazepine dose and carbamazepine concentration after dose adjustment was significant only innon carriers (r = 0.52,= 0.002). However, the population pharmacokinetic analysis failed to demonstrate any significant effect ofpolymorphism on carbamazepine clearance [CL L/h = 0.215 + 0.0696*SEX+ 0.000183*DD]. The results indicated that thepolymorphism might not be of clinical importance for epilepsy treatment in pediatric populations.
Abstract: Transporters in proximal renal tubules contribute to the disposition of numerous drugs. Furthermore, the molecular mechanisms of tubular secretion have been progressively elucidated during the past decades. Organic anions tend to be secreted by the transport proteins OAT1, OAT3 and OATP4C1 on the basolateral side of tubular cells, and multidrug resistance protein (MRP) 2, MRP4, OATP1A2 and breast cancer resistance protein (BCRP) on the apical side. Organic cations are secreted by organic cation transporter (OCT) 2 on the basolateral side, and multidrug and toxic compound extrusion (MATE) proteins MATE1, MATE2/2-K, P-glycoprotein, organic cation and carnitine transporter (OCTN) 1 and OCTN2 on the apical side. Significant drug-drug interactions (DDIs) may affect any of these transporters, altering the clearance and, consequently, the efficacy and/or toxicity of substrate drugs. Interactions at the level of basolateral transporters typically decrease the clearance of the victim drug, causing higher systemic exposure. Interactions at the apical level can also lower drug clearance, but may be associated with higher renal toxicity, due to intracellular accumulation. Whereas the importance of glomerular filtration in drug disposition is largely appreciated among clinicians, DDIs involving renal transporters are less well recognized. This review summarizes current knowledge on the roles, quantitative importance and clinical relevance of these transporters in drug therapy. It proposes an approach based on substrate-inhibitor associations for predicting potential tubular-based DDIs and preventing their adverse consequences. We provide a comprehensive list of known drug interactions with renally-expressed transporters. While many of these interactions have limited clinical consequences, some involving high-risk drugs (e.g. methotrexate) definitely deserve the attention of prescribers.
Abstract: The accurate estimation of "in vivo" inhibition constants () of inhibitors and fraction metabolized () of substrates is highly important for drug-drug interaction (DDI) prediction based on physiologically based pharmacokinetic (PBPK) models. We hypothesized that analysis of the pharmacokinetic alterations of substrate metabolites in addition to the parent drug would enable accurate estimation of in vivoandTwenty-four pharmacokinetic DDIs caused by P450 inhibition were analyzed with PBPK models using an emerging parameter estimation method, the cluster Newton method, which enables efficient estimation of a large number of parameters to describe the pharmacokinetics of parent and metabolized drugs. For each DDI, two analyses were conducted (with or without substrate metabolite data), and the parameter estimates were compared with each other. In 17 out of 24 cases, inclusion of substrate metabolite information in PBPK analysis improved the reliability of bothandImportantly, the estimatedfor the same inhibitor from different DDI studies was generally consistent, suggesting that the estimatedfrom one study can be reliably used for the prediction of untested DDI cases with different victim drugs. Furthermore, a large discrepancy was observed between the reported in vitroand the in vitro estimates for some inhibitors, and the current in vivoestimates might be used as reference values when optimizing in vitro-in vivo extrapolation strategies. These results demonstrated that better use of substrate metabolite information in PBPK analysis of clinical DDI data can improve reliability of top-down parameter estimation and prediction of untested DDIs.
Abstract: BACKGROUND: Anticholinergic drugs put elderly patients at a higher risk for falls, cognitive decline, and delirium as well as peripheral adverse reactions like dry mouth or constipation. Prescribers are often unaware of the drug-based anticholinergic burden (ACB) of their patients. This study aimed to develop an anticholinergic burden score for drugs licensed in Germany to be used by clinicians at prescribing level. METHODS: A systematic literature search in pubmed assessed previously published ACB tools. Quantitative grading scores were extracted, reduced to drugs available in Germany, and reevaluated by expert discussion. Drugs were scored as having no, weak, moderate, or strong anticholinergic effects. Further drugs were identified in clinical routine and included as well. RESULTS: The literature search identified 692 different drugs, with 548 drugs available in Germany. After exclusion of drugs due to no systemic effect or scoring of drug combinations (n = 67) and evaluation of 26 additional identified drugs in clinical routine, 504 drugs were scored. Of those, 356 drugs were categorised as having no, 104 drugs were scored as weak, 18 as moderate and 29 as having strong anticholinergic effects. CONCLUSIONS: The newly created ACB score for drugs authorized in Germany can be used in daily clinical practice to reduce potentially inappropriate medications for elderly patients. Further clinical studies investigating its effect on reducing anticholinergic side effects are necessary for validation.