Avvisi di avvertenza
Estensione di tempo QT
Effetti avversi del farmaco
Varianti ✨Per la valutazione computazionalmente intensiva delle varianti, scegli l'abbonamento standard a pagamento.
Aree di applicazione
Spiegazioni per i pazienti
Avvisi di avvertenza
La somministrazione di carbamazepina e itraconazolo deve essere evitata.
Diminuzione di itraconazolo e aumento delle concentrazioni di carbamazepinaMeccanismo: l' itraconazolo è un substrato e un inibitore del CYP3A4, la carbamazepina è un substrato e un induttore del CYP3A4. Questo può portare a mutue influenze farmacocinetiche.
Effetto: ci si può aspettare che le concentrazioni di itraconazolo siano significativamente ridotte e che la terapia possa persino fallire. Negli studi di interazione del produttore, la biodisponibilità di itraconazolo o idrossi-itraconazolo in combinazione con carbamazepina e altri potenti induttori enzimatici è stata ridotta del 60-90%. Nella combinazione, le concentrazioni di carbamazepina possono anche essere aumentate.
Misure: l'associazione deve essere evitata poiché la terapia con itraconazolo potrebbe non riuscire. Anche il produttore (itraconazolo) sconsiglia la combinazione. Si deve prendere in considerazione un anticonvulsivante alternativo (a seconda dell'indicazione per la carbamazepina, gabapentin potrebbe essere un'opzione); idealmente, la carbamazepina dovrebbe essere evitata 2 settimane prima di iniziare la terapia con itraconazolo.
La somministrazione di itraconazolo e alprazolam deve essere evitata.
Concentrazioni elevate di alprazolam - sedazione aumentata / prolungataMeccanismo: il metabolismo di alprazolam avviene in larga misura attraverso il sistema CYP epatico, in particolare tramite CYP3A4. L'itraconazolo è un potente inibitore di questo isoenzima, quindi l'inibizione della degradazione dell'alprazolam potrebbe portare ad un aumento della concentrazione di benzodiazepine.
Effetto: secondo le informazioni specialistiche svizzere per alprazolam, l'uso simultaneo di itraconazolo è controindicato. Uno studio con itraconazolo ha determinato un aumento significativo dell'AUC di una singola dose di alprazolam e un aumento dell'emivita di eliminazione.
Misure: la combinazione è da evitare. Se la terapia con benzodiazepine è indicata per l'ansiolisi, deve essere selezionata una benzodiazepina dall'itraconazolo, il cui metabolismo è meno fortemente mediato dal CYP3A4 (ad es. Lorazepam o oxazepam).
|Carbamazepina||1.12 [1.12,1.68] 1||1||1.12|
I cambiamenti nell'esposizione menzionati si riferiscono ai cambiamenti nella curva concentrazione plasmatica-tempo [AUC]. L'esposizione alla carbamazepina aumenta al 112%, se combinato con alprazolam (100%) e itraconazolo (112%). L'AUC è compresa tra 112% e 168% a seconda del
I parametri farmacocinetici della popolazione media sono utilizzati come punto di partenza per il calcolo delle singole variazioni di esposizione dovute alle interazioni.
La alprazolam ha un'elevata biodisponibilità orale [ F ] del 88%, motivo per cui i livelli plasmatici massimi [Cmax] tendono a cambiare poco durante un'interazione. L'emivita terminale [ t12 ] è di 11.7 ore e i livelli plasmatici costanti [ Css ] vengono raggiunti dopo circa 46.8 ore. Il legame proteico [ Pb ] è moderatamente forte al 70.2% e il volume di distribuzione [ Vd ] è di 50 litri nell'intervallo medio, Poiché la sostanza ha una bassa velocità di estrazione epatica di 0,9, lo spostamento dal legame proteico [Pb] nel contesto di un'interazione può aumentare l'esposizione. Il metabolismo avviene principalmente tramite CYP3A4.
La itraconazolo ha una biodisponibilità orale media [ F ] del 55%, motivo per cui i livelli plasmatici massimi [Cmax] tendono a cambiare con un'interazione. L'emivita terminale [ t12 ] è di 21 ore e i livelli plasmatici costanti [ Css ] vengono raggiunti dopo circa 84 ore. Il legame proteico [ Pb ] è molto forte al 99.8% e il volume di distribuzione [ Vd ] è molto grande a 796 litri, ecco perché, con una velocità di estrazione epatica media di 0,9, sono rilevanti sia il flusso sanguigno epatico [Q] che una variazione del legame proteico [Pb]. Il metabolismo avviene principalmente tramite CYP3A4 e il trasporto attivo avviene in particolare tramite PGP.
La carbamazepina ha una biodisponibilità orale media [ F ] del 78%, motivo per cui i livelli plasmatici massimi [Cmax] tendono a cambiare con un'interazione. L'emivita terminale [ t12 ] è di 20 ore e i livelli plasmatici costanti [ Css ] vengono raggiunti dopo circa 80 ore. Il legame proteico [ Pb ] è moderatamente forte al 77.2% e il volume di distribuzione [ Vd ] è molto grande a 90 litri, Poiché la sostanza ha una bassa velocità di estrazione epatica di 0,9, lo spostamento dal legame proteico [Pb] nel contesto di un'interazione può aumentare l'esposizione. Il metabolismo avviene tramite CYP1A2, CYP2C8, CYP2C9 e CYP3A4, tra gli altri.
|Effetti serotoninergici a||0||Ø||Ø||Ø|
Valutazione: Secondo le nostre conoscenze, né la alprazolam, itraconazolo né la carbamazepina aumentano l'attività serotoninergica.
|Kiesel & Durán b||1||Ø||Ø||+|
Raccomandazione: A scopo precauzionale, occorre prestare attenzione ai sintomi anticolinergici, soprattutto dopo aver aumentato la dose ea dosi nel range terapeutico superiore.
Valutazione: La carbamazepina ha solo un lieve effetto sul sistema anticolinergico. Il rischio di sindrome anticolinergica con questo farmaco è piuttosto basso se il dosaggio è nel range usuale. Secondo i nostri risultati, né la alprazolam né la itraconazolo aumentano l'attività anticolinergica.
Estensione di tempo QT
Raccomandazione: Assicurati che i fattori di rischio influenzabili siano ridotti al minimo. Disturbi elettrolitici come bassi livelli di calcio, potassio e magnesio devono essere compensati. Deve essere utilizzata la dose minima efficace di itraconazolo.
Valutazione: La itraconazolo può potenzialmente prolungare il tempo dell'intervallo QT e in presenza di fattori di rischio, possono essere preferite le aritmie di tipo torsioni di punta. Non conosciamo alcun potenziale di prolungamento dell'intervallo QT per alprazolam e carbamazepina.
Effetti collaterali generali
|Effetti collaterali||∑ frequenza||alp||itr||car|
|Problema di coordinamento||24.8 %||24.8↓||n.a.||n.a.|
|Compromissione della memoria||24.3 %||24.3↓||n.a.||n.a.|
|Aumento dell'appetito||19.9 %||19.9↓||n.a.||n.a.|
Aumento di peso (14.9%): alprazolam
Nausea (14.4%): carbamazepina, itraconazolo
Xerostomia (13.3%): alprazolam, carbamazepina
Vomito (12.6%): carbamazepina, itraconazolo
Dolore addominale (2.9%): itraconazolo
Diarrea (2.9%): itraconazolo
Depressione (11.7%): alprazolam
Effetto rimbalzo: alprazolam
Riduzione della libido (10.2%): alprazolam
Reazioni allergiche della pelle (10%): carbamazepina
Eruzione cutanea (6%): itraconazolo
Prurito (4%): itraconazolo
Sindrome di Stevens Johnson: alprazolam, carbamazepina
Necrolisi epidermica tossica: carbamazepina
Rinofaringite (9%): itraconazolo
Infezione delle vie respiratorie superiori (8%): itraconazolo
Sinusite (4.5%): itraconazolo
Edema polmonare: itraconazolo
Mal di testa (6.1%): itraconazolo
Confusione (6%): alprazolam
Visione offuscata (5.5%): carbamazepina
Edema periferico (5%): carbamazepina, itraconazolo
Ipertensione (3%): itraconazolo
Blocco atrioventricolare: carbamazepina
Insufficienza cardiaca: itraconazolo
Febbre (2.5%): itraconazolo
Leucopenia (2%): carbamazepina
Insufficienza epatica: alprazolam
Epatite colestatica: carbamazepina
Sindrome da scomparsa dei dotti biliari: carbamazepina
Reazione di ipersensibilità: carbamazepina, itraconazolo
Nefrite tubulointerstiziale: carbamazepina
Perdita dell'udito: itraconazolo
Sulla base delle vostre
Abstract: Twelve patients receiving therapy with an azole agent (ketoconazole, itraconazole, and/or fluconazole) for systemic mycoses experienced drug interactions with rifampin, phenytoin, and/or carbamazepine resulting in substantial decreases in azole concentrations in serum. All four patients receiving azoles and concurrent phenytoin and/or carbamazepine failed to respond to treatment or suffered a relapse of their fungal infection. Four of five patients with cryptococcosis who received itraconazole and rifampin responded despite decreases in their serum itraconazole concentrations; synergy between itraconazole and rifampin was documented by in vitro analysis of inhibition and of killing of Cryptococcus neoformans isolates from all patients receiving this combination. In contrast, two patients with coccidioidomycosis failed to respond to itraconazole/rifampin. Moreover, two patients with cryptococcosis suffered a relapse or persistence of seborrheic dermatitis while receiving itraconazole/rifampin. The latter combination showed synergy in vitro in the inhibition of the mycelial phase of Coccidioides immitis and, to a lesser extent, of the pathogenic spherule phase of this fungus; synergy in the killing of C. immitis was not noted, nor was synergy seen against Malassezia furfur, the purported etiologic agent of seborrheic dermatitis. These findings illustrate several drug interactions that may affect clinical outcome and that must be considered in the management of antifungal therapy.
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: To assess the effect of itraconazole, a potent inhibitor of cytochrome P450 (CYP) 3A4, on the single oral dose pharmacokinetics and pharmacodynamics of alprazolam, the study was conducted in a double-blind randomized crossover manner with two phases of treatment with itraconazole-placebo or placebo-itraconazole. Ten healthy male subjects receiving itraconazole 200 mg/day or matched placebo orally for 6 days took an oral 0.8 mg dose of alprazolam on day 4 of each treatment phase. Plasma concentration of alprazolam was measured up to 48 h after alprazolam dosing, together with the assessment of psychomotor function by the Digit Symbol Substitution Test, Visual Analog Scale and Udvalg for kliniske undersøgelser side effect rating scale. Itraconazole significantly (P < 0.01) increased the area under the concentration-time curves from 0 h to infinity (252 +/- 47 versus 671 +/- 205 ng h/ml), decreased the apparent oral clearance (0.89 +/- 0.21 versus 0.35+/-0.10 ml/min per kg) and prolonged the elimination half-life (15.7 +/- 4.1 versus 40.3 +/- 13.5 h) of alprazolam. The test performed during itraconazole treatment showed significantly depressed psychomotor function. It is suggested that itraconazole, a potent CYP3A4 inhibitor, increases plasma concentration of alprazolam via its inhibitory effects on alprazolam metabolism. Thus, this study supports previous studies suggesting that CYP3A4 is the major enzyme catalyzing the metabolism of alprazolam. Enhanced side effects of alprazolam by itraconazole coadministration were probably reflected by these pharmacokinetic changes.
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: Cytochrome P450(CYP)3A4 is one of the CYP enzymes catalyzing oxidative metabolism, and involved in the metabolism of many drugs. Among benzodiazepines, alprazolam, triazolam, brotizolam and midazolam are mainly metabolished by CYP3A4, and quazepam, diazepam and flunitrazepam are partly metabolised by this enzyme. Azole antifungals, macrolide antibiotics, calcium antagonists and grapefruit juice inhibit CYP3A4 activity, while antiepileptics and rifampicin induce the activity. The drugs affecting CYP3A4 activity inhibit or induce the metabolism of the benzodiazepines metabolised by this enzyme, and induce side effects or reduce therapeutic effects of these drugs. Therefore, the combination of the two groups of drugs should be avoided, and if it is unavoidable the dose of benzodiazepines should be adjusted.
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: Anticholinergic Drug Scale (ADS) scores were previously associated with serum anticholinergic activity (SAA) in a pilot study. To replicate these results, the association between ADS scores and SAA was determined using simple linear regression in subjects from a study of delirium in 201 long-term care facility residents who were not included in the pilot study. Simple and multiple linear regression models were then used to determine whether the ADS could be modified to more effectively predict SAA in all 297 subjects. In the replication analysis, ADS scores were significantly associated with SAA (R2 = .0947, P < .0001). In the modification analysis, each model significantly predicted SAA, including ADS scores (R2 = .0741, P < .0001). The modifications examined did not appear useful in optimizing the ADS. This study replicated findings on the association of the ADS with SAA. Future work will determine whether the ADS is clinically useful for preventing anticholinergic adverse effects.
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: OBJECTIVES: To examine the longitudinal relationship between cumulative exposure to anticholinergic medications and memory and executive function in older men. DESIGN: Prospective cohort study. SETTING: A Department of Veterans Affairs primary care clinic. PARTICIPANTS: Five hundred forty-four community-dwelling men aged 65 and older with diagnosed hypertension. MEASUREMENTS: The outcomes were measured using the Hopkins Verbal Recall Test (HVRT) for short-term memory and the instrumental activity of daily living (IADL) scale for executive function at baseline and during follow-up. Anticholinergic medication use was ascertained using participants' primary care visit records and quantified as total anticholinergic burden using a clinician-rated anticholinergic score. RESULTS: Cumulative exposure to anticholinergic medications over the preceding 12 months was associated with poorer performance on the HVRT and IADLs. On average, a 1-unit increase in the total anticholinergic burden per 3 months was associated with a 0.32-point (95% confidence interval (CI)= 0.05-0.58) and 0.10-point (95% CI=0.04-0.17) decrease in the HVRT and IADLs, respectively, independent of other potential risk factors for cognitive impairment, including age, education, cognitive and physical function, comorbidities, and severity of hypertension. The association was attenuated but remained statistically significant with memory (0.29, 95% CI=0.01-0.56) and executive function (0.08, 95% CI=0.02-0.15) after further adjustment for concomitant non-anticholinergic medications. CONCLUSION: Cumulative anticholinergic exposure across multiple medications over 1 year may negatively affect verbal memory and executive function in older men. Prescription of drugs with anticholinergic effects in older persons deserves continued attention to avoid deleterious adverse effects.
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 184.108.40.206 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: This article reviews in vitro metabolic and in vivo pharmacokinetic drug-drug interactions of nine antifungal agents: six azoles (fluconazole, itraconazole, ketoconazole, miconazole, posaconazole, and voriconazole) and three echinocandins (anidulafungin, caspofungin, and micafungin). In in vitro interaction studies, itraconazole, ketoconazole, and miconazole were found to have higher inhibitory effects on cytochrome P450 (P450 or CYP) 3A4 and 3A5 activities than the other azoles or echinocandins did. Fluconazole, itraconazole, and voriconazole were relatively less potent inhibitors of CYP3A5 than of CYP3A4. The inhibitory effects of fluconazole, itraconazole, ketoconazole, and voriconazole against CYP3A4 and CYP3A5 seemed to be correlated with their dissociation constants for CYP51 (lanosterol 14α-demethylase) from Candida albicans. In in vivo pharmacokinetic studies, itraconazole was found to be a potent clinically important inhibitor of CYP3A4/5 substrates, and fluconazole and voriconazole increased the blood/plasma concentrations of not only CYP3A4/5 substrates but also CYP2C9 substrates. Miconazole was a potent inhibitor of all P450s investigated in vitro, although there are few detailed studies on the clinical significance of this except for CYP2C9. For the echinocandins, no marked inhibition of P450 activities, except for some inhibition of CYP3A4/5 activity, was observed in vitro. The blood/plasma concentrations of concomitant drugs were not markedly affected by coadministration of echinocandins in vivo, suggesting that echinocandins do not cause clinically significant interactions with drugs that are metabolized by P450s via the inhibition of metabolism. The differential effects of these antifungal agents on P450 activities must be considered when clinicians select antifungal agents for patients also receiving other drugs.
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.