Extension de temps QT
Effets indésirables des médicaments
|Mal de crâne|
Variantes ✨Pour l'évaluation intensive en calcul des variantes, veuillez choisir l'abonnement standard payant.
Explications pour les patients
Nous n'avons aucun avertissement supplémentaire pour l'association de vérapamil et de almotriptan. Veuillez également consulter les informations spécialisées pertinentes.
Les changements d'exposition mentionnés sont liés aux changements de la courbe concentration plasmatique en fonction du temps [ASC]. L'exposition à la almotriptan augmente à 123%, lorsqu'il est combiné avec la vérapamil (123%). Nous ne prévoyons aucun changement d'exposition à la vérapamil, lorsqu'il est combiné avec la almotriptan (100%).
Les paramètres pharmacocinétiques de la population moyenne sont utilisés comme point de départ pour calculer les changements individuels d'exposition dus aux interactions.
La vérapamil a une faible biodisponibilité orale [ F ] de 26%, c'est pourquoi la concentration plasmatique maximale [Cmax] a tendance à changer de manière significative avec une interaction. La demi-vie terminale [ t12 ] est assez courte à 3.4 heures et des taux plasmatiques constants [ Css ] sont atteints rapidement. La liaison aux protéines [ Pb ] est modérément forte à 91% et le volume de distribution [ Vd ] est très important à 616 litres, cependant, comme la substance a un taux d'extraction hépatique élevé de 0,9, seules les modifications du débit sanguin hépatique [Q] sont pertinentes. Le métabolisme a lieu via le CYP1A2, CYP2C8, CYP2C9 et le CYP3A4, entre autres et le transport actif s'effectue en partie via OATP1A2 et PGP.
La almotriptan a une biodisponibilité orale moyenne [ F ] de 70%, raison pour laquelle les concentrations plasmatiques maximales [Cmax] ont tendance à changer avec une interaction. La demi-vie terminale [ t12 ] est assez courte à 3.5 heures et des taux plasmatiques constants [ Css ] sont atteints rapidement. La liaison aux protéines [ Pb ] est plutôt faible à 35% et le volume de distribution [ Vd ] est très important à 195 litres. Étant donné que la substance a un faible taux d'extraction hépatique de 0,9, le déplacement de la liaison aux protéines [Pb] dans le contexte d'une interaction peut augmenter l'exposition. Environ 50.0% d'une dose administrée est excrétée inchangée par les reins et cette proportion est rarement modifiée par les interactions. Le métabolisme a lieu via le CYP2D6 et le CYP3A4, entre autres.
|Les scores||∑ Points||vér||alm|
|Effets sérotoninergiques a||1||Ø||+|
Recommandation: Par mesure de précaution, les symptômes de surstimulation sérotoninergique doivent être pris en compte, notamment après augmentation de la dose et à des doses dans la plage thérapeutique supérieure.
Évaluation: La almotriptan a un léger effet sur le système sérotoninergique. Le risque de syndrome sérotoninergique peut être classé comme faible avec ce médicament si la posologie se situe dans la plage habituelle. Selon nos connaissances, la vérapamil n'augmente pas l'activité sérotoninergique.
|Les scores||∑ Points||vér||alm|
|Kiesel & Durán b||0||Ø||Ø|
Évaluation: Selon nos résultats, ni la vérapamil ni la almotriptan n'augmentent l'activité anticholinergique.
Extension de temps QT
Nous ne connaissons aucun potentiel d'allongement de l'intervalle QT pour la vérapamil et la almotriptan.
Effets secondaires généraux
|Effets secondaires||∑ la fréquence||vér||alm|
|Mal de crâne||7.2 %||7.2||n.a.|
|Œdème périphérique||3.7 %||3.7||n.a.|
|La nausée||3.0 %||+||2.0|
|Hypotension orthostatique||2.3 %||2.3||n.a.|
|Sensation de chaleur et de bouffées vasomotrices||1.0 %||+||n.a.|
Bloc auriculo-ventriculaire: vérapamil
Douleur thoracique: almotriptan
Spasme de l'artère coronaire: almotriptan
Sur la base de vos
Abstract: The effects of multiple doses of cimetidine on single-dose verapamil kinetics were studied in nine healthy men. Baseline hepatic blood flow was estimated by indocyanine green elimination on day 1. On day 2, the subjects received verapamil, 10 mg iv, after which the plasma concentration-time profile was determined. After a 2-day washout, cimetidine, 300 mg, was taken by mouth four times a day for 5 days. The indocyanine green study was repeated on day 9 and verapamil was taken on day 10. Cimetidine reduced verapamil clearance by 21% and increased the elimination t1/2 by 50%. The volume of distribution at steady state did not change. Cimetidine increased hepatic blood flow in some subjects, while decreasing it in others. There was no correlation between individual changes in verapamil clearance and hepatic blood flow. These data indicate that cimetidine reduces verapamil clearance by mechanism(s) other than a change in hepatic blood flow or volume of distribution.
Abstract: The pharmacokinetics of verapamil was studied in patients with end-stage chronic renal failure and in normal subjects after i.v. injection of 3 mg and a single oral dose of 80 mg. Plasma levels of verapamil and its active metabolite norverapamil were measured by HPLC. After i.v. injection, the terminal phase half-life and total plasma clearance of verapamil in both groups were similar. Haemodialysis did not change the time course of plasma verapamil levels after i.v. administration. After a single oral dose, the plasma levels of verapamil and norverapamil in both groups of subjects were similar. Subsequently, normal volunteers and patients with renal failure were treated for 5 days with oral verapamil 80 mg t.d.s. There was no difference between the 2 groups of subjects in the trough and peak levels of verapamil or of norverapamil. Intravenous and oral administration of the calcium channel blocking agent had similar effects on blood pressure, heart rate and the PR-interval in the electrocardiogram in both groups. The study demonstrated that the disposition of verapamil was similar in normal subjects and in patients with renal failure.
Abstract: The pharmacokinetics of (+)-, (-)-, and (+/-)-verapamil were studied in five healthy volunteers following i.v. administration of the drugs. Pronounced differences of the various pharmacokinetic parameters were observed between the (-)- and (+)-isomers. The values for CL, V, Vz, and Vss of the (-)-isomer were substantially higher as compared to the (+)-isomer, whereas terminal t 1/ 2Z was nearly identical for both isomers. No dose dependency of the pharmacokinetics could be observed in two subjects who received 5, 7.5 and 10 mg of (-)- and 5, 25 and 50 mg of (+)-verapamil. Protein binding for the two isomers was also different. The fu of (-)- (0.11) was almost twice as much as that of (+)-verapamil (0.064). Pharmacokinetic parameters of (+/-)-verapamil, which was administered to three subjects who had received (+)- and (-)-verapamil, were very similar to the averaged values of the isomers given separately. Due to the higher CL of (-)-verapamil the extraction ratio of the (-)-isomer is substantially higher. Thus, it can be anticipated that following oral administration of racemic verapamil bioavailability of (-)-verapamil will be substantially less. Since the (-)-isomer is more potent than the (+)-isomer, the present findings could explain the reported differences in the concentration-effect relationship after i.v. and oral administration of racemic verapamil.
Abstract: Twenty-nine drugs of disparate structures and physicochemical properties were used in an examination of the capability of human liver microsomal lability data ("in vitro T(1/2)" approach) to be useful in the prediction of human clearance. Additionally, the potential importance of nonspecific binding to microsomes in the in vitro incubation milieu for the accurate prediction of human clearance was investigated. The compounds examined demonstrated a wide range of microsomal metabolic labilities with scaled intrinsic clearance values ranging from less than 0.5 ml/min/kg to 189 ml/min/kg. Microsomal binding was determined at microsomal protein concentrations used in the lability incubations. For the 29 compounds studied, unbound fractions in microsomes ranged from 0.11 to 1.0. Generally, basic compounds demonstrated the greatest extent of binding and neutral and acidic compounds the least extent of binding. In the projection of human clearance values, basic and neutral compounds were well predicted when all binding considerations (blood and microsome) were disregarded, however, including both binding considerations also yielded reasonable predictions. Including only blood binding yielded very poor projections of human clearance for these two types of compounds. However, for acidic compounds, disregarding all binding considerations yielded poor predictions of human clearance. It was generally most difficult to accurately predict clearance for this class of compounds; however the accuracy was best when all binding considerations were included. Overall, inclusion of both blood and microsome binding values gave the best agreement between in vivo clearance values and clearance values projected from in vitro intrinsic clearance data.
Abstract: This study was designed to assess the pharmacokinetics of almotriptan, a 5HT1B/1D agonist used to treat migraine attacks, when administered in the presence and absence of fluoxetine. Healthy male (n = 3) and female (n = 11) volunteers received (1) 60 mg fluoxetine daily for 8 days and 12.5 mg almotriptan on Day 8 and (2) 12.5 mg almotriptan on Day 8, according to a two-way crossover design. Plasma and urinary almotriptan concentrations were measured by HPLC methods. Treatment effects on pharmacokinetic parameters were assessed by analysis of variance. Mean almotriptan Cmax was significantly higher following combination treatment with fluoxetine (52.5 +/- 11.9 ng/ml vs. 44.3 +/- 10.9 ng/ml, p = 0.023). Mean AUC0-infinity was not significantly affected by fluoxetine coadministration (353 +/- 55.7 ng.h/ml vs. 333 +/- 33.6 ng.h/ml, p = 0.059). Confidence interval analysis (90%) of log-transformed pharmacokinetic parameters showed that the confidence interval for AUC0-infinity was within the 80% to 125% limit for equivalence, but Cmax was not (90% CI 106%-134% of the reference mean). Adverse events were mild to moderate in intensity, and no clinically significant treatment effects on vital signs or ECGs were observed. The results show that fluoxetine has only a modest effect on almotriptan Cmax. Concomitant administration of the two drugs is well tolerated, and no adjustment of the almotriptan dose is warranted.
Abstract: AIMS: To assess the effect of a reversible MAO-A inhibitor, moclobemide, on the single-dose pharmacokinetics of almotriptan and assess the clinical consequences of any interaction. METHODS: Twelve healthy volunteers received the following treatments in a randomized, open-label, two-way crossover design (with a 1 week washout between treatments): (A) one 150 mg moclobemide tablet every 12 h for 8 days and one 12.5 mg almotriptan tablet on the morning of day 8; and (B) one 12.5 mg almotriptan tablet on day 8. Plasma almotriptan was quantified by h.p.l.c.-MS-MS, while urinary concentrations were measured by h.p.l.c.-u.v. Vital signs, ECGs, and adverse events were evaluated after almotriptan administration. Treatment effects on pharmacokinetics and vital signs were assessed by analysis of variance. RESULTS: Mean almotriptan AUC was higher (483 +/- 99.9 vs 352 +/- 75.4 ng ml-1 h, P = 0.0001) and oral clearance was lower (26.6 +/- 4.00 vs 36.6 +/- 5.89 l h-1, P = 0.0001) when almotriptan was administered with moclobemide. Mean half-life was longer (4.22 +/- 0.78 vs 3.41 +/- 0.45 h, P = 0.0002) after coadministration with moclobemide. Renal clearance of almotriptan was unaffected by moclobemide. No serious adverse events occurred and no clinically significant vital sign changes were observed. CONCLUSIONS: Moclobemide increased plasma concentrations of almotriptan on average by 37%, but the combined administration of these two compounds was well tolerated. The degree of interaction was much less than that seen previously for sumatriptan or zolmitriptan given with moclobemide.
Abstract: The interaction between almotriptan, a 5-HT1B/1D agonist, and the potent CYP3A4 inhibitor ketoconazole was examined in 16 healthy volunteers. Subjects received (A) 12.5 mg almotriptan orally on Day 2 of a 3-day regimen of 400 mg ketoconazole once daily and (B) 12.5 mg almotriptan in a crossover design. Plasma and urine concentrations of almotriptan were measured by HPLC. Treatment effects on almotriptan pharmacokinetics were assessed by analysis of variance. Ketoconazole coadministration increased mean almotriptan AUC and Cmax from 312 to 490 ng h/mL and 52.6 to 84.5 ng/mL, respectively. Mean oral clearance was decreased from 40.7 to 26.2 L/h by ketoconazole, with an accompanying increase in the fraction of almotriptan excreted unchanged in the urine (40.6% to 53.3%) and a decrease in renal clearance (16.4 to 13.8 L/h). These effects were statistically significant. The effects of ketoconazole on almotriptan clearance were consistent with inhibition of the CYP3A4-mediated metabolism and a slight effect on the active tubular secretion of almotriptan.
Abstract: The pharmacokinetics of almotriptan are linear over a range of oral doses up to 200mg in healthy volunteers. The compound has a half-life of approximately 3 hours. Almotriptan is well absorbed after oral administration and the mean absolute bioavailability is 69.1%. Maximal plasma concentrations are achieved between 1.5 and 4 hours after dose administration; however, within 1 hour after administration, plasma concentrations are approximately 68% of the value at 3 hours after administration. Food does not significantly affect almotriptan absorption. Almotriptan is not highly protein bound and is extensively distributed in the body. Approximately 50% of an almotriptan dose is excreted unchanged in the urine; this is the predominant single mechanism of elimination. Renal clearance is mediated, in part, through active tubular secretion, while the balance of the almotriptan dose is metabolised to inactive compounds. The predominant route of metabolism is via monoamine oxidase-A, and cytochrome P450 (CYP) mediated oxidation (via CYP3A4 and CYP2D6) occurs to a minor extent. Almotriptan clearance is moderately reduced in elderly subjects, but the magnitude of this effect does not warrant a dose reduction. Sex has no significant effect on almotriptan pharmacokinetics. Almotriptan pharmacokinetic parameters do not differ between adolescents and adults, and absorption is not affected during a migraine attack. As expected, renal dysfunction results in reduced clearance of almotriptan. Patients with moderate-to-severe renal dysfunction should use the lowest dose of almotriptan and the total daily dose should not exceed 12.5 mg. Similar dosage recommendations are valid for patients with hepatic impairment, based on the clearance mechanisms for almotriptan. Drug-drug interaction studies were conducted between almotriptan and the following compounds: fluoxetine, moclobemide, propranolol, verapamil and ketoconazole. No significant pharmacokinetic or pharmacodynamic interactions with almotriptan were observed for fluoxetine or propranolol. Almotriptan clearance was reduced, to a modest degree, by moclobemide and verapamil, which was consistent with the contribution of monoamine oxidase-A and CYP3A4 to the metabolic clearance of almotriptan. Although ketoconazole has a greater effect on almotriptan clearance than verapamil, no dosage adjustment is required when almotriptan is given with these drugs.
Abstract: BACKGROUND: To date, the uptake of drugs into the human heart by transport proteins is poorly understood. A candidate protein is the organic cation transporter novel type 2 (OCTN2) (SLC22A5), physiologically acting as a sodium-dependent transport protein for carnitine. We investigated expression and localization of OCTN2 in the human heart, uptake of drugs by OCTN2, and functional coupling of OCTN2 with the eliminating ATP-binding cassette (ABC) transporter ABCB1 (P-glycoprotein). METHODS AND RESULTS: Messenger RNA levels of OCTN2 and ABCB1 were analyzed in heart samples by quantitative polymerase chain reaction. OCTN2 was expressed in all auricular samples that showed a pronounced interindividual variability (35 to 1352 copies per 20 ng of RNA). Although a single-nucleotide polymorphism in OCTN2 (G/C at position -207 of the promoter) had no influence on expression, administration of beta-blockers resulted in significantly increased expression. Localization of OCTN2 by in situ hybridization, laser microdissection, and immunofluorescence microscopy revealed expression of OCTN2 mainly in endothelial cells. For functional studies, OCTN2 was expressed in Madin-Darby canine kidney (MDCKII) cells. Using this system, verapamil, spironolactone, and mildronate were characterized both as inhibitors (EC50=25, 26, and 21 micromol/L, respectively) and as substrates. Like OCTN2, ABCB1 was expressed preferentially in endothelial cells. A significant correlation of OCTN2 and ABCB1 expression in the human heart was observed, which suggests functional coupling. Therefore, the interaction of OCTN2 with ABCB1 was tested with double transfectants. This approach resulted in a significantly higher transcellular transport of verapamil, a substrate for both OCTN2 and ABCB1. CONCLUSIONS: OCTN2 is expressed in the human heart and can be modulated by drug administration. Moreover, OCTN2 can contribute to the cardiac uptake of cardiovascular drugs.
Abstract: We hypothesized that CYP3A5 genotype contributes to the interindividual variability in verapamil response. Healthy subjects (n=26) with predetermined CYP3A5 genotypes were categorized as expressers (at least one CYP3A5(*)1 allele) and nonexpressers (subjects without a CYP3A5(*)1 allele). Verapamil pharmacokinetics and pharmacodynamics were determined after 7 days of dosing with 240 mg daily. There was a significantly higher oral clearance of R-verapamil (165.1+/-86.4 versus 91.2+/-36.5 l/h; P=0.009) and S-verapamil (919.4+/-517.4 versus 460.2+/-239.7 l/h; P=0.01) in CYP3A5 expressers compared to nonexpressers. Consequently, CYP3A5 expressers had significantly less PR-interval prolongation (19.5+/-12.3 versus 44.0+/-19.4 ms; P=0.0004), and had higher diastolic blood pressure (69.2+/-7.5 versus 61.6+/-5.1 mm Hg; P=0.036) than CYP3A5 nonexpressers after 7 days dosing with verapamil. CYP3A5 expressers display a greater steady-state oral clearance of verapamil and may therefore experience diminished pharmacological effect of verapamil due to a greater steady state oral clearance.
Abstract: AIM: It has been reported that verapamil and atorvastatin are inhibitors of both P-glycoprotein (P-gp) and microsomal cytochrome P450 (CYP) 3A4, and verapamil is a substrate of both P-gp and CYP3A4. Thus, it could be expected that atorvastatin would alter the absorption and metabolism of verapamil. METHODS: The pharmacokinetic parameters of verapamil and one of its metabolites, norverapamil, were compared after oral administration of verapamil (60 mg) in the presence or absence of oral atorvastatin (40 mg) in 12 healthy volunteers. RESULTS: Pharmacokinetics of verapamil were significantly altered by the coadministration of atorvastatin compared with those of without atorvastatin. For example, the total area under the plasma-concentration time curve to the last measured time, 24 h, in plasma (AUC(0-24) (h)) of verapamil increased significantly by 42.8%. Thus, the relative bioavailability increased by the same magnitude with atorvastatin. Although the AUC(0-24) (h) of norverapamil was not significantly different between two groups of humans, the AUC(0-24) (h, norverapamil)/ AUC(0-24) (h, verapamil) ratio was significantly reduced (27.5% decrease) with atorvastatin. CONCLUSION: The above data suggest that atorvastatin could inhibit the absorption of verapamil via inhibition of P-gp and/or the metabolism of verapamil by CYP3A4 in humans.
Abstract: BACKGROUND: Lovastatin is an inhibitor of P-glycoprotein (P-gp) and is metabolized by the cytochrome P450 (CYP) 3A4 isoenzyme. Verapamil is a substrate of both P-gp and CYP3A4. It is therefore likely that lovastatin can alter the absorption and metabolism of verapamil. METHODS: The pharmacokinetic parameters of verapamil and one of its metabolites, norverapamil, were compared in 14 healthy male Korean volunteers (age range 22-28 years) who had been administered verapamil (60 mg) orally in the presence or absence of oral lovastatin (20 mg). The design of the experiment was a standard 2 x 2 crossover model in random order. RESULTS: The pharmacokinetic parameters of verapamil were significantly altered by the co-administration of lovastatin compared to the control. The area under the plasma concentration-time curve (AUC (0-infinity)) and the peak plasma concentration of verapamil were significantly increased by 62.8 and 32.1%, respectively. Consequently, the relative bioavailability of verapamil was also significantly increased (by 76.5%). The (AUC (0-infinity)) of norverapamil and the terminal half-life of verapamil did not significantly changed with lovastatin coadministration. The metabolite-parent ratio was significantly reduced (29.2%) in the presence of lovastatin. CONCLUSION: Lovastatin increased the absorption of verapamil by inhibiting P-gp and inhibited the first-pass metabolism of verapamil by inhibiting CYP3A4 in the intestine and/or liver in humans.
Abstract: BACKGROUND: Anticholinergic drugs are often involved in explicit criteria for inappropriate prescribing in older adults. Several scales were developed for screening of anticholinergic drugs and estimation of the anticholinergic burden. However, variation exists in scale development, in the selection of anticholinergic drugs, and the evaluation of their anticholinergic load. This study aims to systematically review existing anticholinergic risk scales, and to develop a uniform list of anticholinergic drugs differentiating for anticholinergic potency. METHODS: We performed a systematic search in MEDLINE. Studies were included if provided (1) a finite list of anticholinergic drugs; (2) a grading score of anticholinergic potency and, (3) a validation in a clinical or experimental setting. We listed anticholinergic drugs for which there was agreement in the different scales. In case of discrepancies between scores we used a reputed reference source (Martindale: The Complete Drug Reference®) to take a final decision about the anticholinergic activity of the drug. RESULTS: We included seven risk scales, and evaluated 225 different drugs. Hundred drugs were listed as having clinically relevant anticholinergic properties (47 high potency and 53 low potency), to be included in screening software for anticholinergic burden. CONCLUSION: Considerable variation exists among anticholinergic risk scales, in terms of selection of specific drugs, as well as of grading of anticholinergic potency. Our selection of 100 drugs with clinically relevant anticholinergic properties needs to be supplemented with validated information on dosing and route of administration for a full estimation of the anticholinergic burden in poly-medicated older adults.
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.