Extensión de tiempo QT
Efectos adversos de las drogas
Variantes ✨Para la evaluación computacionalmente intensiva de las variantes, elija la suscripción estándar paga.
Áreas de aplicación
Explicaciones para pacientes
No tenemos advertencias adicionales para la combinación de cimetidina y venlafaxina. Consulte también la información especializada pertinente.
|Venlafaxina||1.53 [0.51,10.77] 1,2||1.53|
Los cambios en la exposición mencionados se refieren a cambios en la curva de concentración plasmática-tiempo [AUC]. La exposición a venlafaxina aumenta al 153%, cuando se combina con cimetidina (153%). El AUC está entre 51% y 1077% dependiendo del
Los parámetros farmacocinéticos de la población media se utilizan como punto de partida para calcular los cambios individuales en la exposición debidos a las interacciones.
La cimetidina tiene una biodisponibilidad oral media [ F ] del 65%, por lo que los niveles plasmáticos máximos [Cmax] tienden a cambiar con una interacción. La vida media terminal [ t12 ] es bastante corta a las 1.6333333 horas y se alcanzan rápidamente niveles plasmáticos constantes [ Css ]. La unión a proteínas [ Pb ] es muy débil al 19% y el volumen de distribución [ Vd ] es muy grande a 91 litros. El metabolismo no tiene lugar a través de los citocromos comunes. y el transporte activo se realiza en parte a través de BCRP y PGP.
La venlafaxina tiene una biodisponibilidad oral media [ F ] del 45%, por lo que los niveles plasmáticos máximos [Cmax] tienden a cambiar con una interacción. La vida media terminal [ t12 ] es bastante corta a las 5.2 horas y se alcanzan rápidamente niveles plasmáticos constantes [ Css ]. La unión a proteínas [ Pb ] es muy débil al 27% y el volumen de distribución [ Vd ] es muy grande a 236 litros, por eso, con una tasa de extracción hepática media de 0,9, tanto el flujo sanguíneo hepático [Q] como un cambio en la unión a proteínas [Pb] son relevantes. El metabolismo tiene lugar a través de CYP2C19, CYP2D6 y CYP3A4, entre otros. y el transporte activo tiene lugar en particular a través de PGP.
|Efectos serotoninérgicos a||2||Ø||++|
Recomendación: Como medida de precaución, se deben tener en cuenta los síntomas de la sobreestimulación serotoninérgica, especialmente después de un aumento de la dosis y a dosis en el rango terapéutico superior.
Clasificación: La venlafaxina modula el sistema serotoninérgico en un grado moderado. El riesgo de un síndrome serotoninérgico se puede clasificar como bajo con este medicamento si la dosis está en el rango habitual. Según nuestro conocimiento, la cimetidina no aumenta la actividad serotoninérgica.
|Kiesel & Durán b||1||+||Ø|
Recomendación: Como precaución, se debe prestar atención a los síntomas anticolinérgicos, especialmente después de aumentar la dosis y en dosis en el rango terapéutico superior.
Clasificación: La cimetidina solo tiene un efecto leve sobre el sistema anticolinérgico. El riesgo de síndrome anticolinérgico con este medicamento es bastante bajo si la dosis se encuentra en el rango habitual. Según nuestros hallazgos, la venlafaxina no aumenta la actividad anticolinérgica.
Extensión de tiempo QT
Clasificación: En combinación, la cimetidina y la venlafaxina pueden desencadenar potencialmente arritmias ventriculares del tipo torsades de pointes.
Efectos secundarios generales
|Efectos secundarios||∑ frecuencia||cim||ven|
|Eyaculación anormal||10.6 %||n.a.||10.6|
Temblor (5.6%): venlafaxina
Trastorno del sueño: venlafaxina
Síndrome neuroléptico maligno: venlafaxina
Visión borrosa (5%): venlafaxina
Ginecomastia (4%): cimetidina
Disfunción eréctil (4%): venlafaxina
Trastorno del orgasmo (3.5%): venlafaxina
Hipotensión ortostática: venlafaxina
Pérdida de apetito: venlafaxina
Hemorragia gastrointestinal: venlafaxina
Reacciones alérgicas de la piel: venlafaxina
Sintiéndose nervioso: venlafaxina
Retención urinaria: venlafaxina
Tiempo de sangrado prolongado: venlafaxina
Con base en sus
Referencias de literatura
Abstract: Recently, the use of astemizole and terfenadine, both non-sedating H1-antihistamines, caused considerable concern. Several case reports suggested an association of both drugs with an increased risk of torsades de pointes, a special form of ventricular tachycardia. The increased risk of both H1-antihistamines was associated with exposure to supratherapeutic doses; for terfenadine the risk was also associated with concomitant exposure to the cytochrome P-450 inhibitors ketoconazole, erythromycin and cimetidine. To predict the size of the population that runs the risk of developing this potentially fatal adverse reaction in the Netherlands, the prevalence of prescribing supratherapeutic doses and the concomitant exposure to terfenadine and cytochrome P-450 inhibitors was studied. Data were obtained from the PHARMO data base in 1990, a pharmacy-based record linkage system encompassing a catchment population of 300,000 individuals. The results of the study showed that the prescribing of supratherapeutic doses and the concomitant exposure to terfenadine and cytochrome P-450 inhibitors was low. Furthermore, the results of a sensitivity analysis showed that the risk of fatal torsades de pointes has to be as high as 1 in 10,000 to cause one death in the Netherlands in one year.
Abstract: Serotonin syndrome is a potentially fatal complication of serotonergic drug therapy. Usually, serotonin syndrome occurs with the concomitant use of two serotonergic drugs; this case report describes a patient with a classic presentation of serotonin syndrome induced solely by a venlafaxine overdose. Emergency physicians need to be aware that the serotonin syndrome may occur not only with serotonergic drug combinations but also with overdoses of a single potent serotonergic agent such as venlafaxine.
Abstract: Astemizole (Hismanal), an antihistamine agent, has been reported to be associated with ventricular arrhythmias. In this paper we present a case of QT prolongation and torsades de pointes (TdP) in a 77-year-old woman who had been taking astemizole (10 mg/day) for 6 months because of allergic skin disease. At the time of admission, the serum concentration of astemizole and its metabolites was markedly elevated at 15.85 ng/ml, approximately 3 times the normal level. The patient was also taking cimetidine, a known inhibitor of cytochrome P-450 enzymatic activity, and during her admission was diagnosed as having vasospastic angina. To the best of our knowledge, this is the first report of astemizole-induced QT prolongation and TdP in Japan.
Abstract: The influence of cimetidine on the disposition pharmacokinetics of the antidepressant drug, venlafaxine, and its active metabolite, O-desmethylvenlafaxine, was examined in 18 healthy young men and women. The steady-state pharmacokinetic profiles of venlafaxine and O-desmethylvenlafaxine were evaluated during a 24-hour period after 5 days of treatment with venlafaxine (50 mg three times a day) and during a second 24-hour period after 5 days of combination treatment with venlafaxine (50 mg three times a day) and cimetidine (800 mg once a day). The apparent oral clearance of venlafaxine decreased significantly in the presence of cimetidine and the average steady-state plasma concentration of venlafaxine increased significantly in the presence of cimetidine, but there were no changes in the corresponding concentrations of the active metabolite. However, O-desmethylvenlafaxine exhibits pharmacologic activity that is approximately equimolar to that of venlafaxine, and the sum of venlafaxine plus O-desmethylvenlafaxine plasma concentrations was increased by an average of only 13%. Therefore, the effect of cimetidine coadministration is not expected to result in clinically important alterations in the response to venlafaxine in patients with depression. This may not be true, however, for patients with compromised hepatic metabolic function.
Abstract: CYP2D6 is involved in the O-demethylation metabolic pathway of venlafaxine in humans. In this study, we investigated whether this isozyme is stereoselective. Plasma samples from seven CYP2D6 extensive metabolizers (EMs) and five CYP2D6 poor metabolizers (PMs), collected during a period without and with coadministration of quinidine, were analysed. Subjects were administered venlafaxine hydrochloride 18.75 mg orally every 12 h for 48 h on two occasions (1 week apart); once alone and once during the concomitant administration of quinidine sulphate every 12 h. Blood and urine samples were collected under steady-state conditions over one dosing interval (12 h). The present results show that, although CYP2D6 catalyses the O-demethylation of both enantiomers of venlafaxine, it displays a marked stereoselectivity towards the (R)-enantiomer. The oral clearance of (R)-venlafaxine was found to be nine-fold higher in EMs compared to PMs [median (range) 173 (29-611) l/h versus 20 (16-24) l/h, P < 0.005], while it was two-fold higher for (S)-venlafaxine [73 (32-130) l/h versus 37 (21-44) l/h, P < 0.05]. In EMs, quinidine decreased (R)- and (S)-venlafaxine oral clearance by 12-fold ( 0.05) and four-fold ( 0.05), respectively. In contrast, quinidine did not have any effects on renal clearance of (R)-venlafaxine [4 (2-10) l/h for venlafaxine alone versus 5 (0.6-7) l/h for venlafaxine + quinidine] and of (S)-venlafaxine [4 (1-7) l/h for venlafaxine alone versus 3 (0.4-6) l/h for venlafaxine + quinidine]. The coadministration of quinidine to EMs resulted in an almost complete inhibition of the partial metabolic clearance of (R)-venlafaxine to O-demethylated metabolites [127 (10-493) l/h down to 1 (0.1-3) l/h, 0.05], while a seven-fold reduction was measured for (S)-venlafaxine [47 (14-94) l/h versus 7 (1-19) l/h, 0.05]. In PMs, coadministration of quinidine did not significantly change oral clearance and partial metabolic clearance of (R)- and (S)-venlafaxine to its various metabolites. In contrast, data obtained on the partial metabolic clearance of (R)- and (S)-venlafaxine to N-demethylated metabolites, a reaction which is mediated by CYP3A4, suggest a lack of stereoselectivity of this enzyme.
Abstract: OBJECTIVE: To report the case of a patient with serotonin syndrome induced by low-dose venlafaxine. CASE SUMMARY: A 29-year-old Taiwanese woman with major depressive disorder abruptly developed serotonin syndrome during low-dose (37.5 mg/d) venlafaxine monotherapy, with symptoms of restlessness, tremor, shivering, diarrhea, vomiting, ataxia, tachycardia, and myoclonus. The patient recovered in 2 hours after receiving prochlorperazine and lorazepam in the emergency department. Venlafaxine was discontinued, and she was discharged home. Two weeks later, the patient started to receive fluoxetine 20 mg/d and reported no adverse adverse effects during follow-up clinic visits. DISCUSSION: The clinical manifestations of this case meet Sternbach's criteria of serotonin syndrome. Its possible etiologic factors include panic attack, adverse drug reaction, pharmacodynamic interaction, and congenital absence of CYP2D6 enzyme activity. The Naranjo probability scale suggested a probable causality of venlafaxine treatment and serotonin syndrome. CONCLUSIONS: Clinicians should be aware of the risk of serotonin syndrome when the patient receives not only a combination of 2 antidepressants, but also the single potent serotonergic agent venlafaxine.
Abstract: OBJECTIVE: To study the influence of CYP3A4 inhibition by ketoconazole on the disposition of venlafaxine in individuals with different CYP2D6 pheno- and genotypes. METHODS: In an open two-phase study, 21 healthy volunteers with known CYP2D6 pheno- and genotype [14 extensive metabolisers (EMs), 7 poor metabolisers (PMs)] were given a single oral dose of venlafaxine (50 mg to EMs and 25 mg to PMs). Plasma and urine levels of venlafaxine and its three metabolites were measured and the pharmacokinetics of venlafaxine were determined. After a 2-week washout period, subjects were treated for 2 days with ketoconazole (100 mg twice daily) starting 1 day before the administration of venlafaxine; and the same parameters as for the administration of venlafaxine only were measured. RESULTS: Data were evaluated from 20 subjects (14 EMs and 6 PMs) who completed the study. The dose-corrected AUC of venlafaxine was on average 2.3 times higher ( P<0.01) and that of its active metabolite O-desmethylvenlafaxine 3.4 times lower ( P<0.0001) in PMs than EMs. There was a good correlation between the debrisoquine metabolic ratio and the ratio between the AUC of venlafaxine and that of O-desmethylvenlafaxine ( Rs=0.93, P<0.002). The majority of subjects showed higher plasma levels of venlafaxine and O-desmethylvenlafaxine upon co-administration of ketoconazole. AUC of venlafaxine significantly increased by 36% and that of O-desmethylvenlafaxine by 26% ( P<0.01). C(max) values increased by 32% and 18%, respectively. The elimination half-life of venlafaxine was unaltered. Three of the PMs displayed marked increases in AUC (81, 126 and 206%) and C(max) (60, 72, 119%) of venlafaxine while the other three showed small or no changes. CONCLUSIONS: Ketoconazole consistently affected the disposition of venlafaxine in EMs of debrisoquine while the response in PMs was erratic. The precise mechanisms underlying this interaction remain to be elucidated.
Abstract: Renal drug interactions can result from competitive inhibition between drugs that undergo extensive renal tubular secretion by transporters such as P-glycoprotein (P-gp). The purpose of this study was to evaluate the effect of itraconazole, a known P-gp inhibitor, on the renal tubular secretion of cimetidine in healthy volunteers who received intravenous cimetidine alone and following 3 days of oral itraconazole (400 mg/day) administration. Glomerular filtration rate (GFR) was measured continuously during each study visit using iothalamate clearance. Iothalamate, cimetidine, and itraconazole concentrations in plasma and urine were determined using high-performance liquid chromatography/ultraviolet (HPLC/UV) methods. Renal tubular secretion (CL(sec)) of cimetidine was calculated as the difference between renal clearance (CL(r)) and GFR (CL(ioth)) on days 1 and 5. Cimetidine pharmacokinetic estimates were obtained for total clearance (CL(T)), volume of distribution (Vd), elimination rate constant (K(el)), area under the plasma concentration-time curve (AUC(0-240 min)), and average plasma concentration (Cp(ave)) before and after itraconazole administration. Plasma itraconazole concentrations following oral dosing ranged from 0.41 to 0.92 microg/mL. The cimetidine AUC(0-240 min) increased by 25% (p < 0.01) following itraconazole administration. The GFR and Vd remained unchanged, but significant reductions in CL(T) (655 vs. 486 mL/min, p < 0.001) and CL(sec) (410 vs. 311 mL/min, p = 0.001) were observed. The increased systemic exposure of cimetidine during coadministration with itraconazole was likely due to inhibition of P-gp-mediated renal tubular secretion. Further evaluation of renal P-gp-modulating drugs such as itraconazole that may alter the renal excretion of coadministered drugs is warranted.
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: This study investigated the effect of terbinafine and voriconazole on the pharmacokinetics of venlafaxine in healthy volunteers. Plasma concentrations of venlafaxine and O-desmethylvenlafaxine (ODV) were measured after ingestion of 75 mg venlafaxine without pretreatment (control), after terbinafine pretreatment, or after voriconazole pretreatment. During the terbinafine phase, the area under the plasma concentration-time curve (AUC(0-infinity)) of venlafaxine was on average 490% (P<0.001) and that of ODV 57% (P<0.001) of the corresponding control value. Terbinafine decreased the AUC(0-infinity) ratio of ODV over venlafaxine by 82% (P<0.001). Voriconazole slightly increased the sum of AUC(0-infinity) of venlafaxine plus AUC(0-infinity) of ODV (active moiety) by 31% (P<0.001). The most likely mechanism for the interaction between terbinafine and venlafaxine is the inhibition of CYP2D6-mediated O-demethylation of venlafaxine, whereas the minor effects of voriconazole are probably due to the inhibition of CYP3A4-, CYP2C9-, or CYP2C19-mediated metabolism of venlafaxine.
Abstract: BACKGROUND: Adverse effects of anticholinergic medications may contribute to events such as falls, delirium, and cognitive impairment in older patients. To further assess this risk, we developed the Anticholinergic Risk Scale (ARS), a ranked categorical list of commonly prescribed medications with anticholinergic potential. The objective of this study was to determine if the ARS score could be used to predict the risk of anticholinergic adverse effects in a geriatric evaluation and management (GEM) cohort and in a primary care cohort. METHODS: Medical records of 132 GEM patients were reviewed retrospectively for medications included on the ARS and their resultant possible anticholinergic adverse effects. Prospectively, we enrolled 117 patients, 65 years or older, in primary care clinics; performed medication reconciliation; and asked about anticholinergic adverse effects. The relationship between the ARS score and the risk of anticholinergic adverse effects was assessed using Poisson regression analysis. RESULTS: Higher ARS scores were associated with increased risk of anticholinergic adverse effects in the GEM cohort (crude relative risk [RR], 1.5; 95% confidence interval [CI], 1.3-1.8) and in the primary care cohort (crude RR, 1.9; 95% CI, 1.5-2.4). After adjustment for age and the number of medications, higher ARS scores increased the risk of anticholinergic adverse effects in the GEM cohort (adjusted RR, 1.3; 95% CI, 1.1-1.6; c statistic, 0.74) and in the primary care cohort (adjusted RR, 1.9; 95% CI, 1.5-2.5; c statistic, 0.77). CONCLUSION: Higher ARS scores are associated with statistically significantly increased risk of anticholinergic adverse effects in older patients.
Abstract: INTRODUCTION: Many psychotropic drugs can delay cardiac repolarization and thereby prolong the rate-corrected QT interval (QTc). A prolonged QTc often arouses concern in clinical practice, as it can be followed, in rare cases, by the life-threatening polymorphic ventricular tachyarrhythmia called torsade de pointes (TdP). METHOD: We searched PubMed for pertinent literature on the risk of QTc prolongation and/or TdP associated with commonly used psychotropic drugs. RESULTS: Thioridazine and ziprasidone confer the highest risk of QTc prolongation and/or TdP. There is also a clinically significant risk associated with haloperidol given intravenously in high doses. TdP has been reported in a few cases in association with the use of newer antipsychotic drugs (mainly quetiapine and amisulpride), most of the tri- and tetracyclic antidepressants, and the selective monoamine reuptake inhibitors citalopram, fluoxetine, paroxetine, and venlafaxine. As a rule, however, QTc prolongation and/or TdP occur only in the presence of multiple additional risk factors, such as age over 65 years, pre-existing cardiovascular disease, bradycardia, female sex, hypokalemia, hypomagnesemia, a supratherapeutic or toxic serum concentration, or the simultaneous administration of other drugs that delay repolarization or interfere with drug metabolism. CONCLUSION: Before prescribing a psychotropic drug, the physician should carefully assess its risks and benefits to avoid this type of adverse reaction, particularly when additional risk factors are present. The ECG and electrolytes should be regularly monitored in patients taking psychotropic drugs.
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: No Abstract available
Abstract: This is the second report of a patient developing severe prolongation of QTc interval with a dose of 300mg/day of venlafaxine; on stopping it, QTc reverted to normalcy. Venlafaxine was restarted and maintained at 150mg/day, with QTc interval remaining normal, indicating, that it has a dose-dependent effect on QTc interval. Venlafaxine was not changed as she had responded best to this drug compared to any other antidepressant. Over 20 years, the only time she had a period of 5 years of remission, was when she was on 75mg of venlafaxine/day.
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 potential of inhibitory metabolites of perpetrator drugs to contribute to drug-drug interactions (DDIs) is uncommon and underestimated. However, the occurrence of unexpected DDI suggests the potential contribution of metabolites to the observed DDI. The aim of this study was to develop a physiologically-based pharmacokinetic (PBPK) model for bupropion and its three primary metabolites-hydroxybupropion, threohydrobupropion and erythrohydrobupropion-based on a mixed "bottom-up" and "top-down" approach and to contribute to the understanding of the involvement and impact of inhibitory metabolites for DDIs observed in the clinic. PK profiles from clinical researches of different dosages were used to verify the bupropion model. Reasonable PK profiles of bupropion and its metabolites were captured in the PBPK model. Confidence in the DDI prediction involving bupropion and co-administered CYP2D6 substrates could be maximized. The predicted maximum concentration (C) area under the concentration-time curve (AUC) values and Cand AUC ratios were consistent with clinically observed data. The addition of the inhibitory metabolites into the PBPK model resulted in a more accurate prediction of DDIs (AUC and Cratio) than that which only considered parent drug (bupropion) P450 inhibition. The simulation suggests that bupropion and its metabolites contribute to the DDI between bupropion and CYP2D6 substrates. The inhibitory potency from strong to weak is hydroxybupropion, threohydrobupropion, erythrohydrobupropion, and bupropion, respectively. The present bupropion PBPK model can be useful for predicting inhibition from bupropion in other clinical studies. This study highlights the need for caution and dosage adjustment when combining bupropion with medications metabolized by CYP2D6. It also demonstrates the feasibility of applying the PBPK approach to predict the DDI potential of drugs undergoing complex metabolism, especially in the DDI involving inhibitory metabolites.