QT time prolongation
Adverse drug events
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Explanations of the substances for patients
The changes in exposure mentioned relate to changes in the plasma concentration-time curve [AUC]. We did not detect any change in exposure to nefazodon, when combined with alprazolam (100%). We cannot currently estimate the influence of itraconazole. Itraconazole exposure increases to 1673%, when combined with nefazodon (1673%) and alprazolam (100%). This can lead to increased side effects. Alprazolam exposure increases to 177%, when combined with nefazodon (154%) and itraconazole (174%). This can lead to increased side effects.
The pharmacokinetic parameters of the average population are used as the starting point for calculating the individual changes in exposure due to the interactions.
Nefazodon has a low oral bioavailability [ F ] of 20%, which is why the maximum plasma level [Cmax] tends to change strongly with an interaction. The protein binding [ Pb ] is very strong at 99%. The metabolism mainly takes place via CYP3A4.
Alprazolam has a high oral bioavailability [ F ] of 88%, which is why the maximum plasma levels [Cmax] tend to change little during an interaction. The terminal half-life [ t12 ] is 11.7 hours and constant plasma levels [ Css ] are reached after approximately 46.8 hours. The protein binding [ Pb ] is moderately strong at 70.2% and the volume of distribution [ Vd ] is 50 liters in the middle range, Since the substance has a low hepatic extraction rate of 0.04, displacement from protein binding [Pb] in the context of an interaction can increase exposure. The metabolism mainly takes place via CYP3A4.
Itraconazole has a mean oral bioavailability [ F ] of 55%, which is why the maximum plasma levels [Cmax] tend to change with an interaction. The terminal half-life [ t12 ] is 21 hours and constant plasma levels [ Css ] are reached after approximately 84 hours. The protein binding [ Pb ] is very strong at 99.8% and the volume of distribution [ Vd ] is very large at 796 liters, which is why, with a mean hepatic extraction rate of 0.44, both liver blood flow [Q] and a change in protein binding [Pb] are relevant. The metabolism mainly takes place via CYP3A4 and the active transport takes place in particular via PGP.
|Serotonergic Effects a||2||++||Ø||Ø|
Recommendation: As a precautionary measure, symptoms of serotonergic overstimulation should be taken into account, especially after increasing the dose and at doses in the upper therapeutic range.
Rating: Nefazodon modulates the serotonergic system to a moderate extent. The risk of a serotonergic syndrome can be classified as low with this medication if the dosage is in the usual range. According to our knowledge, neither alprazolam nor itraconazole increase serotonergic activity.
Recommendation: As a precaution, attention should be paid to anticholinergic symptoms, especially after increasing the dose and at doses in the upper therapeutic range.
Rating: Alprazolam only has a mild effect on the anticholinergic system. The risk of anticholinergic syndrome with this medication is rather low if the dosage is in the usual range. According to our findings, neither nefazodon nor itraconazole increase anticholinergic activity.
QT time prolongation
Recommendation: Please make sure that influenceable risk factors are minimized. Electrolyte disturbances such as low levels of calcium, potassium and magnesium should be compensated for. The lowest effective dose of itraconazole should be used.
Rating: Itraconazole can potentially prolong the QT time and if there are risk factors, arrhythmias of the type torsades de pointes can be favored. We do not know of any QT-prolonging potential for nefazodon and alprazolam.
General adverse effects
|Side effects||∑ frequency||nef||alp||itr|
|Coordination problem||24.8 %||n.a.||24.8||n.a.|
|Memory impairment||24.3 %||n.a.||24.3||n.a.|
Increased appetite (19.9%): alprazolam
Weight gain (14.9%): alprazolam
Dysarthria (17.1%): alprazolam
Confusion (12.5%): alprazolam, nefazodon
Asthenia (10%): nefazodon
Depression (11.7%): alprazolam, nefazodon
Rebound effect: alprazolam
Reduced libido (10.2%): alprazolam
Nasopharyngitis (9%): itraconazole
Upper respiratory infection (8%): itraconazole
Sinusitis (4.5%): itraconazole
Pulmonary edema: itraconazole
Rash (6%): itraconazole
Pruritus (4%): itraconazole
Stevens johnson syndrome: alprazolam, nefazodon
Blurred vision (6%): nefazodon
Vomiting (5%): itraconazole
Abdominal pain (2.9%): itraconazole
Diarrhea (2.9%): itraconazole
Peripheral edema (4%): itraconazole
Orthostatic hypotension (3.4%): nefazodon
Hypertension (3%): itraconazole
Heart failure: itraconazole
Fever (2.5%): itraconazole
Liver failure: alprazolam, nefazodon
Hepatotoxicity: itraconazole, nefazodon
Hearing loss: itraconazole
Hypersensitivity reaction: itraconazole, nefazodon
Based on your
Abstract: Alprazolam is a short-acting triazolobenzodiazepine with anxiolytic and antidepressant properties. It has a half-life of 10-15 hours after multiple oral doses. Approximately 20% of an oral dose is excreted unchanged in the urine. The major urinary metabolites are alpha-OH alprazolam glucuronide and 3-HMB benzophenone glucuronide. The objective of this study was to characterize the reactivity of alprazolam and three metabolites in the Abbott ADx and TDx urinary benzodiazepine assays compared with the EMIT d.a.u. benzodiazepine assay. Alprazolam (at 300 ng/mL) gave an equivalent response as the 300 ng/mL low control (nordiazepam). alpha-OH alprazolam gave an equivalent response to this control between 300-500 ng/mL and 4-OH alprazolam between 500-1000 ng/mL. The 3-HMB benzophenone was not positive even at 10,000 ng/mL. The ADx screening assay was positive in 26 of 31 urine specimens collected from alprazolam-treated patients. All 31 of these specimens were confirmed positive for alpha-OH alprazolam by GC/MS after enzymatic hydrolysis and formation of a TMS derivative. For the TDx, 27 of 31 specimens were positive for benzodiazepines and all 31 were confirmed by GC/MS. All 5 of the negative ADx specimens and 4 of 5 TDx specimens contained 150-400 ng/mL of alpha-OH alprazolam. In conclusion, both the ADx and TDx urine benzodiazepine assays are acceptable screening assays for alprazolam use when the alpha-OH alprazolam concentration is greater than 400 ng/mL.
Abstract: Alprazolam, a triazolobenzodiazepine, is the first of this new class of benzodiazepine drugs to be marketed in the United States and Canada. It achieves peak serum levels in 0.7 to 2.1 hours and has a serum half-life of 12 to 15 hours. When given in the recommended daily dosage of 0.5 to 4.0 mg, it is as effective as diazepam and chlordiazepoxide as an anxiolytic agent. Its currently approved indication is for the treatment of anxiety disorders and symptoms of anxiety, including anxiety associated with depression. Although currently not approved for the treatment of depressive disorders, studies published to date have demonstrated that alprazolam compares favorably with standard tricyclic antidepressants. Also undergoing investigation is the potential role of alprazolam in the treatment of panic disorders. Alprazolam has been used in elderly patients with beneficial results and a low frequency of adverse reactions. Its primary side effect, drowsiness, is less than that produced by diazepam at comparable doses. Data on toxicity, tolerance, and withdrawal profile are limited, but alprazolam seems to be at least comparable to other benzodiazepines. Drug interaction data are also limited, and care should be exercised when prescribing alprazolam for patients taking other psychotropic drugs because of potential additive depressant effects.
Abstract: Six fasting male subjects (20-32 years of age) received an oral tablet and an IV 1.0-mg dose of alprazolam in a crossover-design study. Alprazolam plasma concentration in multiple samples during 36 h after dosing was determined by electron-capture gas-liquid chromatography. Psychomotor performance tests, digit-symbol substitution (DSS), and perceptual speed (PS) were administered at 0, 1.25, 2.25, 5.0, and 12.5 h. Sedation was assessed by the subjects and by an observer using the Stanford Sleepiness Scale and a Nurse Rating Sedation Scale (NRSS), respectively. Mean kinetic parameters after IV and oral alprazolam were as follows: volume of distribution (Vd) 0.72 and 0.84 l/kg; elimination half-life (t1/2) 11.7 and 11.8 h; clearance (Cl) 0.74 and 0.89 ml/min/kg. There were no significant differences between IV and oral alprazolam in Vd, t1/2, or area under the curve. The mean fraction absorbed after oral administration was 0.92. Performance on PS and DSS tests was impaired at 1.25 and 2.5 h, but had returned to baseline at 5.0 h for both treatments. Onset of sedation was rapid after IV administration and the average time of peak sedation was 0.48 h. Sedation scores were significantly lower during hour 1 after oral administration than after IV, but were not significantly different at later times. Alprazolam is fully available after oral administration and kinetic parameters are not affected by route of administration. With the exception of rapidity of onset, the pharmacodynamic profiles of IV and oral alprazolam are very similar after a 1.0-mg dose.
Abstract: No Abstract available
Abstract: Nefazodone is a new antidepressant drug, chemically unrelated to the tricyclic, tetracyclic or selective serotonin uptake inhibitors. Nefazodone blocks the serotonin 5-HT2 receptors and reversibly inhibits serotonin reuptake in vivo. Nefazodone is completely and rapidly absorbed after oral administration with a peak plasma concentration observed within 2 hours of administration. Nefazodone undergoes significant first-pass metabolism resulting in an oral bioavailability of approximately 20%. Although there is an 18% increase in nefazodone bioavailability with food, this increase is not clinically significant and nefazodone can be administered without regard to meals. Three pharmacologically active nefazodone metabolites have been identified: hydroxy-nefazodone, triazoledione and m-chlorophenylpiperazine (mCPP). The pharmacokinetics of nefazodone are nonlinear. The increase in plasma concentrations of nefazodone are greater than would be expected if they were proportional to increases in dose. Steady-state plasma concentrations of nefazodone are attained within 4 days of the commencement of administration. The pharmacokinetics of nefazodone are not appreciably altered in patients with renal or mild-to-moderate hepatic impairment. However, nefazodone plasma concentrations are increased in severe hepatic impairment and in the elderly, especially in elderly females. Lower doses of nefazodone may be necessary in these groups. Nefazodone is a weak inhibitor of cytochrome P450 (CYP) 2D6 and does not inhibit CYP1A2. It is not anticipated that nefazodone will interact with drugs cleared by these isozymes. Indeed, nefazodone did not affect the pharmacokinetics of theophylline, a compound cleared by CYP1A2. Nefazodone is metabolised by and inhibits CYP3A4. Clinically significant interactions have been observed between nefazodone and the benzodiazepines triazolam and alprazolam, cyclosporin and carbamazepine. The potential for a clinically significant interaction between nefazodone and other drugs cleared by CYP3A4 (e.g. terfenadine) should be considered before the coadministration of these compounds. There was an increase in haloperidol plasma concentrations when coadministered with nefazodone; nefazodone pharmacokinetics were not affected after coadministration. No clinically significant interaction was observed when nefazodone was administered with lorazepam, lithium, alcohol, cimetidine, warfarin, theophylline or propranolol.
Abstract: Nefazodone is an antidepressant with a relatively unique structure and mechanism of action. The current study was conducted to assess the potential for nefazodone to have metabolic drug interactions associated with cytochrome P450 (CYP) enzymes. Nefazodone is metabolised to hydroxynefazodone (OH-NEF), triazoledione (TD), and m-chlorophenylpiperazine (m-CPP), and OH-NEF is metabolised to TD and m-CPP. Correlations with enzyme activities in a panel of microsomes prepared from human livers, incubations with heterologously expressed human CYP enzymes, and incubations with enzyme inhibitors were used to study these metabolic pathways. The results suggest that the metabolism of NEF and OH-NEF to each of their active metabolites is catalysed mainly by CYP3A4, which is in agreement with clinical reports of drug--drug interactions of nefazodone with substrates and inhibitors of CYP3A4.
Abstract: Itraconazole (ITZ) is a potent inhibitor of CYP3A in vivo. However, unbound plasma concentrations of ITZ are much lower than its reported in vitro Ki, and no clinically significant interactions would be expected based on a reversible mechanism of inhibition. The purpose of this study was to evaluate the reasons for the in vitro-in vivo discrepancy. The metabolism of ITZ by CYP3A4 was studied. Three metabolites were detected: hydroxy-itraconazole (OH-ITZ), a known in vivo metabolite of ITZ, and two new metabolites: keto-itraconazole (keto-ITZ) and N-desalkyl-itraconazole (ND-ITZ). OHITZ and keto-ITZ were also substrates of CYP3A4. Using a substrate depletion kinetic approach for parameter determination, ITZ exhibited an unbound K(m) of 3.9 nM and an intrinsic clearance (CLint) of 69.3 ml.min(-1).nmol CYP3A4(-1). The respective unbound Km values for OH-ITZ and keto-ITZ were 27 nM and 1.4 nM and the CLint values were 19.8 and 62.5 ml.min(-1).nmol CYP3A4(-1). Inhibition of CYP3A4 by ITZ, OH-ITZ, keto-ITZ, and ND-ITZ was evaluated using hydroxylation of midazolam as a probe reaction. Both ITZ and OH-ITZ were competitive inhibitors of CYP3A4, with unbound Ki (1.3 nM for ITZ and 14.4 nM for OH-ITZ) close to their respective Km. ITZ, OH-ITZ, keto-ITZ and ND-ITZ exhibited unbound IC50 values of 6.1 nM, 4.6 nM, 7.0 nM, and 0.4 nM, respectively, when coincubated with human liver microsomes and midazolam (substrate concentration < Km). These findings demonstrate that ITZ metabolites are as potent as or more potent CYP3A4 inhibitors than ITZ itself, and thus may contribute to the inhibition of CYP3A4 observed in vivo after ITZ dosing.
Abstract: OBJECTIVE: Our objective was to evaluate the effect of the CYP3A5 genotype on the pharmacokinetics and pharmacodynamics of alprazolam in healthy volunteers. METHODS: Nineteen healthy male volunteers were divided into 3 groups on the basis of the genetic polymorphism of CYP3A5. The groups comprised subjects with CYP3A5*1/*1 (n=5), CYP3A5*1/*3 (n=7), or CYP3A5*3/*3 (n=7). After a single oral 1-mg dose of alprazolam, plasma concentrations of alprazolam were measured up to 72 hours, together with assessment of psychomotor function by use of the Digit Symbol Substitution Test, according to CYP3A5 genotype. RESULTS: The area under the plasma concentration-time curve for alprazolam was significantly greater in subjects with CYP3A5*3/*3 (830.5+/-160.4 ng . h/mL [mean+/-SD]) than in those with CYP3A5*1/*1 (599.9+/-141.0 ng . h/mL) (P=.030). The oral clearance of alprazolam was also significantly different between the CYP3A5*1/*1 group (3.5+/-0.8 L/h) and CYP3A5*3/*3 group (2.5+/-0.5 L/h) (P=.036). Although a trend was noted for the area under the Digit Symbol Substitution Test score change-time curve (area under the effect curve) to be greater in subjects with CYP3A5*3/*3 (177.2+/-84.6) than in those with CYP3A5*1/*1 (107.5+/-44), the difference did not reach statistical significance (P=.148). CONCLUSIONS: The CYP3A5*3 genotype affects the disposition of alprazolam and thus influences the plasma levels of alprazolam.
Abstract: Itraconazole (ITZ) is metabolized in vitro to three inhibitory metabolites: hydroxy-itraconazole (OH-ITZ), keto-itraconazole (keto-ITZ), and N-desalkyl-itraconazole (ND-ITZ). The goal of this study was to determine the contribution of these metabolites to drug-drug interactions caused by ITZ. Six healthy volunteers received 100 mg ITZ orally for 7 days, and pharmacokinetic analysis was conducted at days 1 and 7 of the study. The extent of CYP3A4 inhibition by ITZ and its metabolites was predicted using this data. ITZ, OH-ITZ, keto-ITZ, and ND-ITZ were detected in plasma samples of all volunteers. A 3.9-fold decrease in the hepatic intrinsic clearance of a CYP3A4 substrate was predicted using the average unbound steady-state concentrations (C(ss,ave,u)) and liver microsomal inhibition constants for ITZ, OH-ITZ, keto-ITZ, and ND-ITZ. Accounting for circulating metabolites of ITZ significantly improved the in vitro to in vivo extrapolation of CYP3A4 inhibition compared to a consideration of ITZ exposure alone.
Abstract: PURPOSE: The objective is to confirm if the prediction of the drug-drug interaction using a physiologically based pharmacokinetic (PBPK) model is more accurate. In vivo Ki values were estimated using PBPK model to confirm whether in vitro Ki values are suitable. METHOD: The plasma concentration-time profiles for the substrate with coadministration of an inhibitor were collected from the literature and were fitted to the PBPK model to estimate the in vivo Ki values. The AUC ratios predicted by the PBPK model using in vivo Ki values were compared with those by the conventional method assuming constant inhibitor concentration. RESULTS: The in vivo Ki values of 11 inhibitors were estimated. When the in vivo Ki values became relatively lower, the in vitro Ki values were overestimated. This discrepancy between in vitro and in vivo Ki values became larger with an increase in lipophilicity. The prediction from the PBPK model involving the time profile of the inhibitor concentration was more accurate than the prediction by the conventional methods. CONCLUSION: A discrepancy between the in vivo and in vitro Ki values was observed. The prediction using in vivo Ki values and the PBPK model was more accurate than the conventional methods.
Abstract: Transporters in proximal renal tubules contribute to the disposition of numerous drugs. Furthermore, the molecular mechanisms of tubular secretion have been progressively elucidated during the past decades. Organic anions tend to be secreted by the transport proteins OAT1, OAT3 and OATP4C1 on the basolateral side of tubular cells, and multidrug resistance protein (MRP) 2, MRP4, OATP1A2 and breast cancer resistance protein (BCRP) on the apical side. Organic cations are secreted by organic cation transporter (OCT) 2 on the basolateral side, and multidrug and toxic compound extrusion (MATE) proteins MATE1, MATE2/2-K, P-glycoprotein, organic cation and carnitine transporter (OCTN) 1 and OCTN2 on the apical side. Significant drug-drug interactions (DDIs) may affect any of these transporters, altering the clearance and, consequently, the efficacy and/or toxicity of substrate drugs. Interactions at the level of basolateral transporters typically decrease the clearance of the victim drug, causing higher systemic exposure. Interactions at the apical level can also lower drug clearance, but may be associated with higher renal toxicity, due to intracellular accumulation. Whereas the importance of glomerular filtration in drug disposition is largely appreciated among clinicians, DDIs involving renal transporters are less well recognized. This review summarizes current knowledge on the roles, quantitative importance and clinical relevance of these transporters in drug therapy. It proposes an approach based on substrate-inhibitor associations for predicting potential tubular-based DDIs and preventing their adverse consequences. We provide a comprehensive list of known drug interactions with renally-expressed transporters. While many of these interactions have limited clinical consequences, some involving high-risk drugs (e.g. methotrexate) definitely deserve the attention of prescribers.
Abstract: The accurate estimation of "in vivo" inhibition constants () of inhibitors and fraction metabolized () of substrates is highly important for drug-drug interaction (DDI) prediction based on physiologically based pharmacokinetic (PBPK) models. We hypothesized that analysis of the pharmacokinetic alterations of substrate metabolites in addition to the parent drug would enable accurate estimation of in vivoandTwenty-four pharmacokinetic DDIs caused by P450 inhibition were analyzed with PBPK models using an emerging parameter estimation method, the cluster Newton method, which enables efficient estimation of a large number of parameters to describe the pharmacokinetics of parent and metabolized drugs. For each DDI, two analyses were conducted (with or without substrate metabolite data), and the parameter estimates were compared with each other. In 17 out of 24 cases, inclusion of substrate metabolite information in PBPK analysis improved the reliability of bothandImportantly, the estimatedfor the same inhibitor from different DDI studies was generally consistent, suggesting that the estimatedfrom one study can be reliably used for the prediction of untested DDI cases with different victim drugs. Furthermore, a large discrepancy was observed between the reported in vitroand the in vitro estimates for some inhibitors, and the current in vivoestimates might be used as reference values when optimizing in vitro-in vivo extrapolation strategies. These results demonstrated that better use of substrate metabolite information in PBPK analysis of clinical DDI data can improve reliability of top-down parameter estimation and prediction of untested DDIs.
Abstract: BACKGROUND: Anticholinergic drugs put elderly patients at a higher risk for falls, cognitive decline, and delirium as well as peripheral adverse reactions like dry mouth or constipation. Prescribers are often unaware of the drug-based anticholinergic burden (ACB) of their patients. This study aimed to develop an anticholinergic burden score for drugs licensed in Germany to be used by clinicians at prescribing level. METHODS: A systematic literature search in pubmed assessed previously published ACB tools. Quantitative grading scores were extracted, reduced to drugs available in Germany, and reevaluated by expert discussion. Drugs were scored as having no, weak, moderate, or strong anticholinergic effects. Further drugs were identified in clinical routine and included as well. RESULTS: The literature search identified 692 different drugs, with 548 drugs available in Germany. After exclusion of drugs due to no systemic effect or scoring of drug combinations (n = 67) and evaluation of 26 additional identified drugs in clinical routine, 504 drugs were scored. Of those, 356 drugs were categorised as having no, 104 drugs were scored as weak, 18 as moderate and 29 as having strong anticholinergic effects. CONCLUSIONS: The newly created ACB score for drugs authorized in Germany can be used in daily clinical practice to reduce potentially inappropriate medications for elderly patients. Further clinical studies investigating its effect on reducing anticholinergic side effects are necessary for validation.