Intervallo QT lungo
Reazione avversa da farmaco (ADR)
Varianti ✨Per l'analisi computazionale dettagliata delle varianti, si prega di selezionare l'abbonamento standard a pagamento.
Informazioni dei farmaci per i pazienti
Si raccomanda il monitoraggio della fluoxetina e diazepam.
Possibili concentrazioni di diazepam aumentate - sedazione aumentata / prolungataMeccanismo: la fluoxetina è un inibitore degli isoenzimi CYP CYP2C19 e CYP3A4.
Effetto: la maggiore esposizione al diazepam può essere associata a un aumento delle reazioni avverse (ad es. Sonnolenza, vertigini). In un piccolo studio (6 volontari sani) la combinazione ha mostrato un aumento dell'esposizione e dell'emivita, nonché una ridotta clearance del diazepam e di un metabolita attivo. Tuttavia, le capacità psicomotorie dei soggetti non erano compromesse.
Misure: monitorare clinicamente la tollerabilità (ad es. Aumento della sedazione, vertigini), selezionare una dose di diazepam inferiore se necessario. Le benzodiazepine alternative possono essere lorazepam o oxazepam, che non sono metabolizzate dagli enzimi CYP.
|Diazepam||1.37 [1.07,1.56] 1||1.37|
|Fluoxetina||1 [0.42,19.68] 1,2||1|
I cambiamenti riportati in seguito all'esposizione corrispondono ai cambiamenti nell'area sottesa alla curva concentrazione plasmatica-tempo [ AUC ]. L'esposizione alla diazepam è aumentata del 137%, quando è co-somministrata con la fluoxetina (137%). L' AUC è compreso tra lo 107% e il 156% in base al
I parametri farmacocinetici della popolazione media sono utilizzati come punto di partenza per calcolare i cambiamenti del singolo individuo esposto alle interazioni farmacologiche
La diazepam ha una significativa biodisponibilità [ F ] orale pari al 76%, perciò attraverso un'interazione farmacologica la concentrazione plasmatica massima [Cmax] tende a cambiare di poco. L'emivita [ t12 ] del farmaco è piuttosto lunga in 36 ore e concentrazioni plasmatiche allo stato stazionario [Css] si raggiungono dopo più di 144 ore. Il legame proteico [ Pb ] è forte al 97% e il volume di distribuzione [ Vd ] è molto grande in 83 litri. Dato che il farmaco ha un basso tasso di estrazione epatico, lo spiazzamento del legame alle proteine plasmatiche [Pb] porta ad un aumento all'esposizione farmacologica. Tra l'altro, il metabolismo avviene rispettivamente attraverso gli enzimi CYP2B6, CYP2C19 e CYP3A4..
La fluoxetina ha una significativa biodisponibilità [ F ] orale pari al 60%, perciò attraverso un'interazione farmacologica la concentrazione plasmatica massima [Cmax] tende a cambiare di poco. L'emivita [ t12 ] del farmaco è di 24 ore e la concentrazione allo stato stazionario [Css] si raggiunge dopo circa 96 ore. Il legame proteico [ Pb ] è moderatamente forte al 94.5% e il volume di distribuzione [ Vd ] è molto grande in 2275 litri, per cui, con un significativo tasso di estrazione epatico dello 0.33, hanno importanza sia il flusso ematico a livello del fegato [Q] sia le variazioni di legame alle proteine plasmatiche [Pb]. Tra l'altro, il metabolismo avviene rispettivamente attraverso gli enzimi CYP2C19, CYP2C9, CYP2D6 e CYP3A4..
|Effetti serotoninergici a||2||Ø||++|
Avvertenze: Per precauzione, si dovrebbe porre particolare attenzione ai sintomi causati da una sovrastimolazione serotoninergica, soprattutto se viene aumentato il dosaggio del farmaco e/o si supera l'intervallo terapeutico.
Valutazione: La fluoxetina modula il sistema serotoninegico in modo limitato. Il rischio di sindrome serotoninergica è basso se viene rispettato il corretto dosaggio. Sulla base dei dati a nostra disposizione, la diazepam non potenzia l'attività serotoninergica.
|Kiesel & Durán b||2||+||+|
Avvertenze e precauzioni: Per precauzione, si dovrebbe porre attenzione ai sintomi di tipo anticolinergico, soprattutto se il dosaggio è stato aumentato oppure se è al di sopra dell'intervallo terapeutico.
Valutazione: La diazepam e la fluoxetina possiedono soltanto limitati effetti anticolinergici. Il rischio di sindrome anticolinergica è molto basso se si rispettano i dosaggi abituali.
Intervallo QT lungo
Avvertenze: Si prega di essere certi di minimizzare al minimo i fattori di rischio. Gli squilibri elettrolitici come un basso livello di calcio, potassio e magnesio dovrebbero essere adeguatamente compensati. La fluoxetina, quindi, dovrebbe essere usata a bassi dosaggi terapeutici.
Valutazione: La fluoxetina potrebbe causare un prolungamento dell'intervallo QT e se presenti specifici fattori di rischio anche aritimie a torsioni di punta. Non è noto se la diazepam sia potenzialmente in grado di prolungare l'intervallo QT
Effetti collaterali generali
|Effetti collaterali||∑ frequenza||dia||flu|
|Perdita di appetito||10.4 %||n.a.||10.4|
Xerostomia (8%): fluoxetina
Tremore (8%): fluoxetina
Vertigini (7.4%): diazepam, fluoxetina
Convulsioni: diazepam, fluoxetina
Eruzione cutanea: diazepam
Eritema multiforme: fluoxetina
Visione offuscata: fluoxetina
Effetto hangover: diazepam
Effetto rimbalzo: diazepam
Depressione respiratoria: diazepam
Tempo di sanguinamento prolungato: fluoxetina
Reazione anafilattica: fluoxetina
Abbiamo valutato il rischio individuale di effetti indesiderati in base alle risposte fornite ed alle informazioni scientifiche disponibili. Le informazioni contenute nel sito hanno esclusivamente scopo informativo e non sostituiscono il parere del medico. Si accomanda pertanto di chiedere sempre il parere del proprio medico curante e/o di specialisti riguardo qualsiasi indicazione riportata. Nella versione alpha test, il rischio di tutti i farmaci non è stato ancora completamente valutato.
Abstract: The effects of steady state dosing with omeprazole and cimetidine on plasma diazepam levels have been studied in 12 healthy males. Single doses of diazepam (0.1 mg.kg-1 i.v.) were administered after one week of treatment with omeprazole 20 mg once daily, cimetidine 400 mg b.d. or placebo, and the treatment was continued for a further 5 days. Blood was collected for 120 h after the dose of diazepam for the measurement of diazepam and its major metabolite desmethyl diazepam. The mean clearance of diazepam was decreased by 27% and 38% and its half-life was increased by 36% and 39% after omeprazole and cimetidine, respectively. Neither drug had any apparent effect on the volume of distribution of diazepam. Desmethyldiazepam appeared more slowly after both omeprazole and cimetidine. It is concluded that the decrease in diazepam clearance was associated with inhibition of hepatic metabolism both by omeprazole and cimetidine. However, since diazepam has a wide therapeutic range, it is unlikely that concomitant treatment with therapeutically recommended doses of either omeprazole or cimetidine will result in a clinically significant interaction with diazepam.
Abstract: Healthy volunteers received single doses of three benzodiazepines (diazepam, 10 mg i.v.; alprazolam, 1.0 mg orally; lorazepam, 2 mg i.v.) on two occasions in random sequence. One trial was a control; for the other, subjects ingested propoxyphene, 65 mg every 6 h, for the duration of the benzodiazepine study. The kinetics of each benzodiazepine were determined from multiple plasma concentrations measured following each dose. For diazepam, propoxyphene produced a small and statistically insignificant prolongation of elimination half-life (43 vs 38 h) and reduction of total clearance (0.41 vs 0.47 ml min-1 kg-1). Propoxyphene significantly prolonged alprazolam half-life (18 vs 12 h, P less than 0.005) and reduced total clearance (0.8 vs 1.3 ml min-1 kg-1, P less than 0.005). Propoxyphene had no apparent influence on lorazepam half-life (13.4 vs 13.5 h) or clearance (1.5 vs 1.4 ml min-1 kg-1). Thus propoxyphene significantly impairs the clearance of alprazolam, biotransformed mainly by the oxidative reaction of aliphatic hydroxylation. Propoxyphene has far less effect on the oxidation of diazepam by N-demethylation, and has no apparent influence on lorazepam conjugation.
Abstract: To determine the effect of fluoxetine on diazepam's pharmacokinetic and psychomotor responses, single oral doses of 10 mg diazepam were administered to six normal subjects on three occasions, either alone or in combination with 60 mg fluoxetine. Diazepam was given alone, after a single dose of fluoxetine, and after eight daily doses of fluoxetine. Psychometric data showed that fluoxetine had no significant effect on the psychomotor responses to diazepam. However, the pharmacokinetic data indicated a change in diazepam disposition after fluoxetine administration. Diazepam AUC was larger, the half-life was longer, and the plasma clearance was lower after fluoxetine administration, suggesting that fluoxetine inhibited the metabolism of diazepam. The reduced formation of an active metabolite, N-desmethyldiazepam, also suggested that fluoxetine inhibited diazepam's metabolism. The clinical implications of this pharmacokinetic drug-drug interaction are minor because psychomotor responses were unaffected and offsetting changes in the kinetics of diazepam and its metabolite occurred. Dosage modification of either fluoxetine or diazepam is unlikely to be necessary.
Abstract: 1 The absorption of single doses of diazepam in six adult epileptic subjects following intravenous, oral and rectal administration were studied in order to evaluate the usefulness of the latter in emergency situations in the adult. 2 Diazepam tablets (Valium, Roche) and rectal solution (Valium solution for intravenous administration) produced similar peak serum concentrations after delays of 15-90 min. 3 Two suppository formulations showed statistically significant differences in absorption characteristics. 4 Serum diazepam levels above 400 ng ml-1 (suggested to be necessary for a satisfactory anticonvulsant effect) were reached in only a few subjects after rectal doses of 10-20 mg of solution, and then usually after a delay of over 2 h.
Abstract: A 48-year-old man presented to the emergency department with confusion, agitation, diaphoresis, and muscle rigidity after beginning treatment with fluoxetine, a serotonin reuptake inhibitor. He had discontinued treatment with tranylcypromine, a monoamine oxidase inhibitor, 2 weeks earlier. The constellation of findings was diagnostic of the serotonin syndrome.
Abstract: Metabolism of diazepam (DZP) was studied in vitro to clarify the involvement of different forms of hepatic cytochrome P450 (CYP) in rats, and humans of Japanese and Caucasian origin. Microsomal 3-hydroxylation was the major pathway of DZP metabolism in rats and was inhibited by anti-CYP3A antibodies. Purified CYP3As and CYP2C11 catalysed 3-hydroxylation and N-demethylation, respectively, in the reconstituted systems. The rates of both reactions in human liver microsomes depended on the substrate concentration: the rate of 3-hydroxylation was 3-4 times higher than N-demethylation at 0.2 mM; the two activities were essentially the same at a lower substrate concentration (0.02 mM). Inhibitions of the N-demethylation by anti-CYP2C antibody and S-mephenytoin also depended on the substrate concentration and was detectable only at a low substrate concentration. Kinetic studies revealed the presence of two distinct catalytic activities for the N-demethylation; low Km and low Vmax, and high Km and high Vmax. The former activity seems to be mediated by a CYP2C P450 form. On the other hand, DZP 3-hydroxylation was rather selectively catalysed by a CYP3A P450 at the low and high substrate concentrations. These results were consistent with the observation in vivo that DZP N-demethylation and S-mephenytoin 4'-hydroxylation are closely correlated in humans. These results also suggest that the apparent discrepancy on the role of CYP forms in DZP metabolism in vitro and in vivo may reside in the difference in substrate concentration.
Abstract: Fluoxetine is well absorbed after oral intake, is highly protein bound, and has a large volume of distribution. The elimination half-life of fluoxetine is about 1 to 4 days, while that of its metabolite norfluoxetine ranges from 7 to 15 days. Fluoxetine has a nonlinear pharmacokinetic profile. Therefore, the drug should be used with caution in patients with a reduced metabolic capability (i.e. hepatic dysfunction). In contrast with its effect on the pharmacokinetics of other antidepressants, age does not affect fluoxetine pharmacokinetics. This finding together with the better tolerability profile of fluoxetine (compared with tricyclic antidepressants) makes this drug particularly suitable for use in elderly patients with depression. Furthermore, the pharmacokinetics of fluoxetine are not affected by either obesity or renal impairment. On the basis of results of plasma concentration-clinical response relationship studies, there appears to be a therapeutic window for fluoxetine. Concentrations of fluoxetine plus norfluoxetine above 500 micrograms/L appear to be associated with a poorer clinical response than lower concentrations. Fluoxetine interacts with some other drugs. Concomitant administration of fluoxetine increased the blood concentrations of antipsychotics or antidepressants. The interactions between fluoxetine and lithium, tryptophan and monoamine oxidase inhibitors, in particular, are potentially serious, and can lead to the 'serotonergic syndrome'. This is because of synergistic pharmacodynamic effects and the influence of fluoxetine on the bioavailability of these compounds.
Abstract: The effects of pretreatment with a seven day course of ciprofloxacin on pharmacokinetics and pharmacodynamics of an intravenous (5 mg) dose of diazepam were investigated in a group of 12 healthy volunteers in a double-blind placebo-controlled crossover study. Ciprofloxacin pretreatment significantly reduced diazepam CL (without ciprofloxacin: 19.5 ml.h-1 kg-1; with ciprofloxacin: 12.3 ml.h-1 kg-1). Diazepam t1/2 was also prolonged (without ciprofloxacin: 36.7 h; with ciprofloxacin: 71.1 h), but volume of distribution was unaltered (without ciprofloxacin: 1.1 l.kg-1; with ciprofloxacin: 1.1 l.kg-1). However, no significant changes were detected in psychometric tests of digit symbol substitution, tapping rate and short memory, as well as levels of concentration, vigilance and tension measured by visual analogue scales.
Abstract: BACKGROUND: Substrates and inhibitors of the cytochrome P450 isozyme CYP2D6 have overlapping structural characteristics. Two prototype serotonin uptake inhibitors, sertraline and fluoxetine, share these structural criteria and have been identified as potent inhibitors of CYP2D6 in vitro. The current study was undertaken to investigate whether genetically determined CYP2D6 activity alters the disposition of sertraline or fluoxetine or both. METHODS: Single doses of sertraline (50 mg) and fluoxetine (20 mg) were administered successively to 20 young men with high (extensive metabolizers; n = 10) and low (poor metabolizers; n = 10) CYP2D6 activity. Blood and urine samples were collected for 5 to 7 half-lives and sertraline, desmethylsertraline, fluoxetine, and norfluoxetine were determined by GC and HPLC techniques. RESULTS: Poor metabolizers had significantly greater fluoxetine peak plasma concentrations (Cmax; increases 57%), area under the concentration versus time curve (AUCzero-->infinity; increases 290%), and terminal elimination half-life (increases 216%) compared with extensive metabolizers. The total amount of fluoxetine excreted in the urine during 8 days was almost three times higher in poor metabolizers than in extensive metabolizers (719 versus 225 micrograms; p < 0.05), whereas the total amount of norfluoxetine excreted in urine of poor metabolizers was about half of that of extensive metabolizers (524 versus 1047 micrograms; p < 0.05). Norfluoxetine Cmax and AUCzero-->t were significantly smaller in poor metabolizers (decreases 55% and decreases 53%, respectively), and the partial metabolic clearance of fluoxetine into norfluoxetine was 10 times smaller in this group (4.3 +/- 1.9 versus 0.4 +/- 0.1 L/hr; p < 0.05). No significant differences between extensive and poor metabolizers were found for sertraline and desmethylsertraline pharmacokinetics. CONCLUSION: These data indicate that poor metabolizers accumulate fluoxetine but not sertraline and that CYP2D6 plays an important role in the demethylation of fluoxetine but not of sertraline.
Abstract: 1. We have examined the metabolism of diazepam by ten human cytochrome P450 forms (CYP1A2, 2A6, 2B6, 2C8, 2C9, 2C19, 2D6, 2E1, 3A4 and 3A5) expressed in HepG2 cells using a recombinant vaccinia virus system. 2. Among the P450 forms tested, diazepam was significantly demethylated by CYP2B6, 2C9, 2C19, 3A4 and 3A5, with 2C19 exhibiting the highest rate at concentrations < 0.1 mM, and hydroxylated only by the latter three enzymes, with 3A5 being the most active. The N-demethylation activity of diazepam by 2C19 at a concentration of 20 microM was six times of that by 3A4. However, that by 2C9 was detected at only a trace level. 3. CYP2C19, 3A4 and 3A5 of the ten human P450s catalysed the 3-hydroxylation of nordiazepam, and 2B6, the 2C subfamily and the 3A subfamily catalysed the N-demethylation of temazepam. CYP3A4 exhibited the highest activity of nordiazepam 3-hydroxylation and temazepam N-demethylation. 4. Diazepam N-demethylation by human liver microsomes correlated with diazepam 3-hydroxylation, but not S-mephenytoin 4'-hydroxylation. 5. Our results suggest that in the human liver, the metabolism of diazepam to nordiazepam is mediated by CYP3A4, which has been reported as the most abundant P450 form in human liver as well as 2C19, which has been reported as a polymorphic enzyme.
Abstract: Fluoxetine and its metabolite norfluoxetine are eliminated by oxidative metabolism via the CYP450 system and may inhibit the oxidative metabolism of other drugs to various degrees. A fluoxetine-warfarin interaction has been postulated, but is not well documented in the literature. The elimination of diazepam may also be inhibited by fluoxetine. An elderly man was prescribed these three drugs in combination and experienced such an interaction. He developed an elevated international normalized ratio (INR) and died from a cerebral hemorrhage. He also manifested drug delirium secondary to inhibited diazepam metabolism. In elderly patients receiving fluoxetine, lorazepam or oxazepam would be safer alternatives to diazepam since they are conjugated in the liver. Patients stabilized on warfarin should be monitored closely for changes in INR if fluoxetine is added or deleted.
Abstract: No Abstract available
Abstract: AIMS: The study was designed to investigate whether genetically determined CYP2C19 activity affects the metabolism of fluoxetine in healthy subjects. METHODS: A single oral dose of fluoxetine (40 mg) was administrated successively to 14 healthy young men with high (extensive metabolizers, n=8) and low (poor metabolizers, n = 6) CYP2C19 activity. Blood samples were collected for 5-7 half-lives and fluoxetine, and norfluoxetine were determined by reversed-phase high performance liquid chromatography. RESULTS: Poor metabolizers (PMs) showed a mean 46% increase in fluoxetine peak plasma concentrations (Cmax, P < 0.001), 128% increase in area under the concentration vs time curve (AUC(0, infinity), P < 0.001), 113% increase in terminal elimination half-life (t(1/2)) (P < 0.001), and 55% decrease in CLo (P < 0.001) compared with extensive metabolizers (EMs). Mean +/- (s.d) norfluoxetine AUC(0, 192 h) was significantly lower in PMs than that in EMs (1343 +/- 277 vs 2935 +/- 311, P < 0.001). Mean fluoxetine Cmax and AUC(0, infinity) in wild-type homozygotes (CYP2C19*1/CYP2C19*1) were significantly lower than that in PMs (22.4 +/- 3.9 vs 36.7 +/- 8.9, P < 0.001; 732 +/- 42 vs 2152 +/- 492, P < 0.001, respectively). Mean oral clearance in individuals with the wild type homozygous genotype was significantly higher than that in heterozygotes and that in PMs (54.7 +/- 3.4 vs 36.0 +/- 8.7, P < 0.01; 54.7 +/- 3.4 vs 20.6 +/- 6.2, P < 0.001, respectively). Mean norfluoxetine AUC(0, 192 h) in PMs was significantly lower than that in wild type homozygotes (1343 +/- 277 vs 3163 +/- 121, P < 0.05) and that in heterozygotes (1343 +/- 277 vs 2706 +/- 273, P < 0.001), respectively. CONCLUSIONS: The results indicated that CYP2C19 appears to play a major role in the metabolism of fluoxetine, and in particular its N-demethylation among Chinese healthy subjects.
Abstract: (R,S)-Oxazepam is a 1,4-benzodiazepine anxiolytic drug that is metabolized primarily by hepatic glucuronidation. In previous studies, S-oxazepam (but not R-oxazepam) was shown to be polymorphically glucuronidated in humans. The aim of the present study was to identify UDP-glucuronosyltransferase (UGT) isoforms mediating R- and S-oxazepam glucuronidation in human liver, with the long term objective of elucidating the molecular genetic basis for this drug metabolism polymorphism. All available recombinant UGT isoforms were screened for R- and S-oxazepam glucuronidation activities. Enzyme kinetic parameters were then determined in representative human liver microsomes (HLMs) and in UGTs that showed significant activity. Of 12 different UGTs evaluated, only UGT2B15 showed significant S-oxazepam glucuronidation. Furthermore, the apparent K(m) for UGT2B15 (29-35 microM) was similar to values determined for HLMs (43-60 microM). In contrast, R-oxazepam was glucuronidated by UGT1A9 and UGT2B7. Although apparent K(m) values for HLMs (256-303 microM) were most similar to UGT2B7 (333 microM) rather than UGT1A9 (12 microM), intrinsic clearance values for UGT1A9 were 10 times higher than for UGT2B7. A common genetic variation results in aspartate (UGT2B15*1) or tyrosine (UGT2B15*2) at position 85 of the UGT2B15 protein. Microsomes from human embryonic kidney (HEK)-293 cells overexpressing UGT2B15*1 showed 5 times higher S-oxazepam glucuronidation activity than did UGT2B15*2 microsomes. Similar results were obtained for other substrates, including eugenol, naringenin, 4-methylumbelliferone, and androstane-3alpha-diol. In conclusion, S-oxazepam is stereoselectively glucuronidated by UGT2B15, whereas R-oxazepam is glucuronidated by multiple UGT isoforms. Allelic variation associated with the UGT2B15 gene may explain polymorphic S-oxazepam glucuronidation in humans.
Abstract: The binding of drugs to plasma proteins is important to consider when concentrations in whole blood (eg, in forensic toxicology) are compared with therapeutic and toxic concentrations based on the analysis of plasma or serum. The plasma to whole blood distribution of diazepam (D) and its major metabolite nordiazepam (ND) was investigated under in vitro and ex vivo conditions. Studies in vitro were done by spiking whole blood with D and ND to give concentrations ranging from 0.1 to 1.0 microg/g. Venous blood was also obtained from hospital blood donors (n = 66) after informed consent. The hematocrit, hemoglobin, and water content of blood specimens were determined by routine procedures before D and ND were added to produce target concentrations of approximately 0.5 microg/g for each substance. The ex vivo work was done with blood specimens from hospital outpatients who were being medicated with D. Concentrations of D and ND were determined in body fluids by capillary column gas chromatography after adding prazepam as internal standard and solvent extraction with butyl acetate. The method limit of quantitation was 0.03 microg/g for both D and ND. The concentrations of D and ND were highest in plasma and lowest in erythrocytes. The plasma/blood (P/B) distribution ratios did not depend on drug concentration between 0.1 and 1.0 microg/g. The mean P/B ratios were 1.79:1 for D and 1.69:1 for ND when hematocrit was 45%. Furthermore, the P/B ratio for D (y) was positively correlated with blood hematocrit (x) and the regression equation was y = 0.636 + 0.025x (r = 0.86, P < 0.001). A similar strong association was found between the P/B ratio and hematocrit for ND (r = 0.79). P/B ratios of D and ND, blood hematocrit, hemoglobin, and the water content differed between sexes (P < 0.001). The overall mean P/B ratios for D and ND were 1.69 +/- 0.097 (+/- SD) and 1.62 +/- 0.08 (P < 0.001, n = 66) respectively when the mean hematocrit was 42.9 +/- 3.4 (+/- SD). For forensic purposes, it would be better to forgo making any conversion of a drug concentration measured in whole blood to that expected in plasma or serum; instead, therapeutic and toxic concentrations should be established for the actual specimens received.
Abstract: The metabolic activities of six psychotropic drugs, diazepam, clotiazepam, tofisopam, etizolam, tandospirone, and imipramine, were determined for 14 isoforms of recombinant human hepatic cytochrome P450s (CYPs) and human liver microsomes by measuring the disappearance rate of parent compounds. In vitro kinetic studies revealed that Vmax/Km values in human liver microsomes were the highest for tofisopam, followed by tandospirone>clotiazepam>imipramine, diazepam, and etizolam. Among the recombinant CYPs, CYP3A4 exhibited the highest metabolic activities of all compounds except for clotiazepam and imipramine. The metabolism of clotiazepam was catalyzed by CYP2B6, CYP3A4, CYP2C18, and CYP2C19, and imipramine was metabolized by CYP2D6 most efficiently. In addition, the metabolic activities of diazepam, clotiazepam, and etizolam in human liver microsomes were inhibited by 2.5 microM ketoconazole, a CYP3A4 inhibitor, by 97.5%, 65.1%, and 83.5%, respectively, and the imipramine metabolism was not detected after the addition of 1 or 10 microM quinidine, a CYP2D6 inhibitor. These results suggest that the psychotropic drugs investigated are metabolized predominantly by CYP3A4, except that CYP2D6 catalyzes the metabolism of imipramine. In addition, this approach based on the disappearance rate appears to be useful for the identification of the responsible CYP isoform(s) of older drugs, for which metabolic profiles have not been reported.
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: The objective of this study was to measure the anticholinergic activity (AA) of medications commonly used by older adults. A radioreceptor assay was used to investigate the AA of 107 medications. Six clinically relevant concentrations were assessed for each medication. Rodent forebrain and striatum homogenate was used with tritiated quinuclidinyl benzilate. Drug-free serum was added to medication and atropine standard-curve samples. For medications that showed detectable AA, average steady-state peak plasma and serum concentrations (C(max)) in older adults were used to estimate relationships between in vitro dose and AA. All results are reported in pmol/mL of atropine equivalents. At typical doses administered to older adults, amitriptyline, atropine, clozapine, dicyclomine, doxepin, L-hyoscyamine, thioridazine, and tolterodine demonstrated AA exceeding 15 pmol/mL. Chlorpromazine, diphenhydramine, nortriptyline, olanzapine, oxybutynin, and paroxetine had AA values of 5 to 15 pmol/mL. Citalopram, escitalopram, fluoxetine, lithium, mirtazapine, quetiapine, ranitidine, and temazepam had values less than 5 pmol/mL. Amoxicillin, celecoxib, cephalexin, diazepam, digoxin, diphenoxylate, donepezil, duloxetine, fentanyl, furosemide, hydrocodone, lansoprazole, levofloxacin, metformin, phenytoin, propoxyphene, and topiramate demonstrated AA only at the highest concentrations tested (patients with above-average C(max) values, who receive higher doses, or are frail may show AA). The remainder of the medications investigated did not demonstrate any AA at the concentrations examined. Psychotropic medications were particularly likely to demonstrate AA. Each of the drug classifications investigated (e.g., antipsychotic, cardiovascular) had at least one medication that demonstrated AA at therapeutic doses. Clinicians can use this information when choosing between equally efficacious medications, as well as in assessing overall anticholinergic burden.
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: Cognitive decline is common in Parkinson's disease (PD). Although some of the aetiological factors are known, it is not yet known whether drugs with anticholinergic activity (AA) contribute to this cognitive decline. Such knowledge would provide opportunities to prevent acceleration of cognitive decline in PD. OBJECTIVE: To study whether the use of agents with anticholinergic properties is an independent risk factor for cognitive decline in patients with PD. METHODS: A community-based cohort of patients with PD (n=235) were included and assessed at baseline. They were reassessed 4 and 8 years later. Cognition was assessed using the Mini-Mental State Examination (MMSE). A detailed assessment of the AA of all drugs prescribed was made, and AA was classified according to a standardised scale. Relationships between cognitive decline and AA load and duration of treatment were assessed using bivariate and multivariate statistical analyses. RESULTS: More than 40% used drugs with AA at baseline. During the 8-year follow-up, the cognitive decline was higher in those who had been taking AA drugs (median decline on MMSE 6.5 points) compared with those who had not taken such drugs (median decline 1 point; p=0.025). In linear regression analyses adjusting for age, baseline cognition and depression, significant associations with decline on MMSE were found for total AA load (standardised beta=0.229, p=0.04) as well as the duration of using AA drugs (standardised beta 0.231, p=0.032). CONCLUSION: Our findings suggest that there is an association between anticholinergic drug use and cognitive decline in PD. This may provide an important opportunity for clinicians to avoid increasing progression of cognitive decline by avoiding drugs with AA. Increased awareness by clinicians is required about the classes of drugs that have anticholinergic properties.
Abstract: The three hydroxybenzodiazepines oxazepam, temazepam, and lorazepam used for their anxiolytic, sedative, and anticonvulsant properties are metabolized by glucuronidation, which is the predominant pathway in the clearance mechanism of exogenous and endogenous substances during phase II metabolism. The aim of this study was the synthesis of benzodiazepine-O-glucuronides as analytical reference substances. All benzodiazepines are prescribed clinically as racemic formulations. The resulting conjugates from the coupling reactions with glucuronic acid are epimeric pairs of glucuronides. Due to the importance of stereochemical factors in drug disposition it is necessary to separate the diastereomeric forms after synthesis. An enzyme-assisted synthesis was developed and optimized by using microsomal UGT from fresh swine liver to receive multimilligram amounts of the benzodiazepine glucuronides, which were not accessible by standard synthetic procedures, like the Koenigs-Knorr- and Williamson-ether-synthesis. Swine liver microsomes were prepared by homogenization and differential centrifugation of liver tissue. In the presence of liver microsomes the benzodiazepines and cofactor UDPGA were incubated for 24h. After incubation the microsomes were removed by protein precipitation and the residual benzodiazepines by liquid-liquid extraction (dichloromethane). The epimeric pairs of benzodiazepine glucuronides were separated by preparative high performance liquid chromatography (HPLC) followed by solid phase extraction (SPE) to obtain the pure benzodiazepine glucuronide epimers. The synthesis products were characterized by mass spectroscopy and nuclear magnetic resonance (NMR) spectroscopy.
Abstract: BACKGROUND/AIMS: The nature and extent of adverse cognitive effects due to the prescription of anticholinergic drugs in older people with and without dementia is unclear. METHODS: We calculated the anticholinergic load (ACL) of medications taken by participants of the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of ageing, a cohort of 211 Alzheimer's disease (AD) patients, 133 mild cognitive impairment (MCI) patients and 768 healthy controls (HC) all aged over 60 years. The association between ACL and cognitive function was examined for each diagnostic group (HC, MCI, AD). RESULTS: A high ACL within the HC group was associated with significantly slower response speeds for the Stroop color and incongruent trials. No other significant relationships between ACL and cognition were noted. CONCLUSION: In this large cohort, prescribed anticholinergic drugs appeared to have modest effects upon psychomotor speed and executive function, but not on other areas of cognition in healthy older adults.
Abstract: Organic anion transporting polypeptide (OATP) family transporters accept a number of drugs and are increasingly being recognized as important factors in governing drug and metabolite pharmacokinetics. OATP1B1 and OATP1B3 play an important role in hepatic drug uptake while OATP2B1 and OATP1A2 might be key players in intestinal absorption and transport across blood-brain barrier of drugs, respectively. To understand the importance of OATPs in the hepatic clearance of drugs, the rate-determining process for elimination should be considered; for some drugs, hepatic uptake clearance rather than metabolic intrinsic clearance is the more important determinant of hepatic clearances. The importance of the unbound concentration ratio (liver/blood), K(p,uu) , of drugs, which is partly governed by OATPs, is exemplified in interpreting the difference in the IC(50) of statins between the hepatocyte and microsome systems for the inhibition of HMG-CoA reductase activity. The intrinsic activity and/or expression level of OATPs are affected by genetic polymorphisms and drug-drug interactions. Their effects on the elimination rate or intestinal absorption rate of drugs may sometimes depend on the substrate drug. This is partly because of the different contribution of OATP isoforms to clearance or intestinal absorption. When the contribution of the OATP-mediated pathway is substantial, the pharmacokinetics of substrate drugs should be greatly affected. This review describes the estimation of the contribution of OATP1B1 to the total hepatic uptake of drugs from the data of fold-increases in the plasma concentration of substrate drugs by the genetic polymorphism of this transporter. To understand the importance of the OATP family transporters, modeling and simulation with a physiologically based pharmacokinetic model are helpful.
Abstract: Recent guidance on drug-drug interaction (DDI) testing recommends evaluation of circulating metabolites. However, there is little consensus on how to quantitatively predict and/or assess the risk of in vivo DDIs by multiple time-dependent inhibitors (TDIs) including metabolites from in vitro data. Fluoxetine was chosen as the model drug to evaluate the role of TDI metabolites in DDI prediction because it is a TDI of both CYP3A4 and CYP2C19 with a circulating N-dealkylated inhibitory metabolite, norfluoxetine. In pooled human liver microsomes, both enantiomers of fluoxetine and norfluoxetine were TDIs of CYP2C19, (S)-norfluoxetine was the most potent inhibitor with time-dependent inhibition affinity constant (KI) of 7 μM, and apparent maximum time-dependent inhibition rate (k(inact,app)) of 0.059 min(-1). Only (S)-fluoxetine and (R)-norfluoxetine were TDIs of CYP3A4, with (R)-norfluoxetine being the most potent (K(I) = 8 μM, and k(inact,app) = 0.011 min(-1)). Based on in-vitro-to-in-vivo predictions, (S)-norfluoxetine plays the most important role in in vivo CYP2C19 DDIs, whereas (R)-norfluoxetine is most important in CYP3A4 DDIs. Comparison of two multiple TDI prediction models demonstrated significant differences between them in in-vitro-to-in-vitro predictions but not in in-vitro-to-in-vivo predictions. Inclusion of all four inhibitors predicted an in vivo decrease in CYP2C19 (95%) and CYP3A4 (60-62%) activity. The results of this study suggest that adequate worst-case risk assessment for in vivo DDIs by multiple TDI systems can be achieved by incorporating time-dependent inhibition by both parent and metabolite via simple addition of the in vivo time-dependent inhibition rate/cytochrome P450 degradation rate constant (λ/k(deg)) values, but quantitative DDI predictions will require a more thorough understanding of TDI mechanisms.
Abstract: BACKGROUND: Serotonin syndrome is a rare but serious complication of treatment with serotonergic agents. In its severe manifestations, death can ensue. Early recognition and aggressive management are crucial to mitigating the syndrome. Often the presentation can be subtle and easy to miss. CASE REPORTS: We present 2 cases of serotonin syndrome seen in the psychiatric consultation service of a busy academic hospital. Both patients had favorable outcomes because of early recognition and aggressive management. CONCLUSION: Physicians should carefully consider and rule out the clinical diagnosis of serotonin syndrome when presented with an agitated or confused patient who is taking serotonergic agents.
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.