QT time prolongation
Adverse drug events
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Explanations of the substances for patients
|Carbamazepine||1.3 [1.3,1.8] 3||1||1.3|
The changes in exposure mentioned relate to changes in the plasma concentration-time curve [AUC]. Alprazolam exposure is reduced to 38%, when combined with fluoxetine (101%) and carbamazepine (38%). This can be associated with reduced effectiveness. We did not detect any change in exposure to fluoxetine, when combined with alprazolam (100%). We cannot currently estimate the influence of carbamazepine. Carbamazepine exposure increases to 130%, when combined with alprazolam (100%) and fluoxetine (130%). The AUC is between 130% and 180% depending on the CYP2C9
The pharmacokinetic parameters of the average population are used as the starting point for calculating the individual changes in exposure due to the interactions.
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.
Fluoxetine has a mean oral bioavailability [ F ] of 60%, which is why the maximum plasma levels [Cmax] tend to change with an interaction. The terminal half-life [ t12 ] is 24 hours and constant plasma levels [ Css ] are reached after approximately 96 hours. The protein binding [ Pb ] is moderately strong at 94.5% and the volume of distribution [ Vd ] is very large at 2275 liters, which is why, with a mean hepatic extraction rate of 0.33, both liver blood flow [Q] and a change in protein binding [Pb] are relevant. The metabolism takes place via CYP2C19, CYP2C9, CYP2D6 and CYP3A4, among others.
Carbamazepine has a mean oral bioavailability [ F ] of 78%, which is why the maximum plasma levels [Cmax] tend to change with an interaction. The terminal half-life [ t12 ] is 20 hours and constant plasma levels [ Css ] are reached after approximately 80 hours. The protein binding [ Pb ] is moderately strong at 77.2% and the volume of distribution [ Vd ] is very large at 90 liters, 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 takes place via CYP1A2, CYP2C8, CYP2C9 and CYP3A4, among others.
|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: Fluoxetine 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 carbamazepine increase serotonergic activity.
Recommendation: The risk of anticholinergic side effects such as blurred vision, confusion and tremor is increased with this therapy. If possible, the therapy should be switched or the patient should be closely monitored for other symptoms Constipation, mydriasis and reduced vigilance are monitored.
Rating: Together, fluoxetine (moderate), carbamazepine (moderate) and alprazolam (mild) 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 fluoxetine should be used.
Rating: Fluoxetine 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 alprazolam and carbamazepine.
General adverse effects
|Side effects||∑ frequency||alp||flu||car|
|Coordination problem||24.8 %||24.8↓||n.a.||n.a.|
|Memory impairment||24.3 %||24.3↓||n.a.||n.a.|
Increased appetite (19.9%): alprazolam
Weight gain (14.9%): alprazolam
Nasopharyngitis (19.5%): fluoxetine
Constipation (17.1%): alprazolam
Diarrhea (13%): fluoxetine
Loss of appetite (10.4%): fluoxetine
Vomiting (8%): carbamazepine
Dyspepsis (8%): fluoxetine
Dysarthria (17.1%): alprazolam
Asthenia (14%): fluoxetine
Tremor (8%): fluoxetine
Confusion (6%): alprazolam
Depression (11.7%): alprazolam
Anxiety (9%): fluoxetine
Feeling nervous (8.5%): fluoxetine
Rebound effect: alprazolam
Reduced libido (10.2%): alprazolam
Allergic skin reactions like pruritus and rash (10%): carbamazepine
Stevens johnson syndrome: carbamazepine, alprazolam
Toxic epidermal necrolysis: carbamazepine
Erythema multiforme: fluoxetine
Blurred vision (6.4%): carbamazepine, fluoxetine
Leukopenia (2%): carbamazepine
Prolonged bleeding time: fluoxetine
Atrioventricular block: carbamazepine
Hyponatremia: carbamazepine, fluoxetine
Peripheral edema: carbamazepine
Cholestatic hepatitis: carbamazepine
Vanishing bile duct syndrome: carbamazepine
Liver failure: alprazolam
Hypersensitivity reaction: carbamazepine
Anaphylactic reaction: fluoxetine
Tubulointerstitial nephritis: carbamazepine
Based on your
Abstract: The interaction between fluoxetine and carbamazepine was investigated in six normal, healthy male volunteers (aged 23 to 40 years). Subjects were given carbamazepine, 400 mg every morning, for 3 weeks. Venous carbamazepine blood samples were obtained at baseline and 1, 2, 4, 6, 8, 10, 12, and 24 hours after the morning dose. Fluoxetine, 20 mg every morning, was then coadministered with carbamazepine for 7 days. Venous carbamazepine blood samples were again obtained as described. Carbamazepine and carbamazepine-10,11-epoxide (CBZE) were assayed by HPLC. Addition of fluoxetine resulted in a significant increase in the area under the concentration-time curve of carbamazepine (105.93 +/- 18.05 micrograms/ml.hr versus 134.97 +/- 12.15 micrograms/ml.hr; t = 3.284; df = 5; p = 0.022) and CBZE (11.6 +/- 1.93 micrograms/ml.hr versus 15.2 +/- 2.4 micrograms/ml.hr; t = 2.805; df = 5; p = 0.038). Both oral and intrinsic clearance of carbamazepine was decreased significantly on fluoxetine addition (3.87 +/- 0.68 L/hr versus 2.98 +/- 0.26 L/hr; t = 3.025; df = 5; p = 0.029 and 17.90 +/- 4.9 L/hr versus 11.92 +/- 1.4 L/hr; t = 3.037; df = 5; p = 0.029, respectively). No significant changes were determined for fraction of absorbed dose, volume of distribution, absorption rate constant, and elimination rate constant. These findings suggest that fluoxetine can inhibit the metabolism of carbamazepine. Careful monitoring of patients is recommended when these two drugs are coadministered.
Abstract: Alprazolam is a short-acting triazolobenzodiazepine with anxiolytic and antidepressant properties. It has a half-life of 10-15 hours after multiple oral doses. Approximately 20% of an oral dose is excreted unchanged in the urine. The major urinary metabolites are alpha-OH alprazolam glucuronide and 3-HMB benzophenone glucuronide. The objective of this study was to characterize the reactivity of alprazolam and three metabolites in the Abbott ADx and TDx urinary benzodiazepine assays compared with the EMIT d.a.u. benzodiazepine assay. Alprazolam (at 300 ng/mL) gave an equivalent response as the 300 ng/mL low control (nordiazepam). alpha-OH alprazolam gave an equivalent response to this control between 300-500 ng/mL and 4-OH alprazolam between 500-1000 ng/mL. The 3-HMB benzophenone was not positive even at 10,000 ng/mL. The ADx screening assay was positive in 26 of 31 urine specimens collected from alprazolam-treated patients. All 31 of these specimens were confirmed positive for alpha-OH alprazolam by GC/MS after enzymatic hydrolysis and formation of a TMS derivative. For the TDx, 27 of 31 specimens were positive for benzodiazepines and all 31 were confirmed by GC/MS. All 5 of the negative ADx specimens and 4 of 5 TDx specimens contained 150-400 ng/mL of alpha-OH alprazolam. In conclusion, both the ADx and TDx urine benzodiazepine assays are acceptable screening assays for alprazolam use when the alpha-OH alprazolam concentration is greater than 400 ng/mL.
Abstract: Alprazolam, a triazolobenzodiazepine, is the first of this new class of benzodiazepine drugs to be marketed in the United States and Canada. It achieves peak serum levels in 0.7 to 2.1 hours and has a serum half-life of 12 to 15 hours. When given in the recommended daily dosage of 0.5 to 4.0 mg, it is as effective as diazepam and chlordiazepoxide as an anxiolytic agent. Its currently approved indication is for the treatment of anxiety disorders and symptoms of anxiety, including anxiety associated with depression. Although currently not approved for the treatment of depressive disorders, studies published to date have demonstrated that alprazolam compares favorably with standard tricyclic antidepressants. Also undergoing investigation is the potential role of alprazolam in the treatment of panic disorders. Alprazolam has been used in elderly patients with beneficial results and a low frequency of adverse reactions. Its primary side effect, drowsiness, is less than that produced by diazepam at comparable doses. Data on toxicity, tolerance, and withdrawal profile are limited, but alprazolam seems to be at least comparable to other benzodiazepines. Drug interaction data are also limited, and care should be exercised when prescribing alprazolam for patients taking other psychotropic drugs because of potential additive depressant effects.
Abstract: Six fasting male subjects (20-32 years of age) received an oral tablet and an IV 1.0-mg dose of alprazolam in a crossover-design study. Alprazolam plasma concentration in multiple samples during 36 h after dosing was determined by electron-capture gas-liquid chromatography. Psychomotor performance tests, digit-symbol substitution (DSS), and perceptual speed (PS) were administered at 0, 1.25, 2.25, 5.0, and 12.5 h. Sedation was assessed by the subjects and by an observer using the Stanford Sleepiness Scale and a Nurse Rating Sedation Scale (NRSS), respectively. Mean kinetic parameters after IV and oral alprazolam were as follows: volume of distribution (Vd) 0.72 and 0.84 l/kg; elimination half-life (t1/2) 11.7 and 11.8 h; clearance (Cl) 0.74 and 0.89 ml/min/kg. There were no significant differences between IV and oral alprazolam in Vd, t1/2, or area under the curve. The mean fraction absorbed after oral administration was 0.92. Performance on PS and DSS tests was impaired at 1.25 and 2.5 h, but had returned to baseline at 5.0 h for both treatments. Onset of sedation was rapid after IV administration and the average time of peak sedation was 0.48 h. Sedation scores were significantly lower during hour 1 after oral administration than after IV, but were not significantly different at later times. Alprazolam is fully available after oral administration and kinetic parameters are not affected by route of administration. With the exception of rapidity of onset, the pharmacodynamic profiles of IV and oral alprazolam are very similar after a 1.0-mg dose.
Abstract: A 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: A number of drugs inhibit the metabolism of carbamazepine catalyzed by cytochrome P450, sometimes resulting in carbamazepine intoxication. However, there is little information available concerning the identity of the specific isoforms of P450 responsible for the metabolism of this drug. This study addressed the role of CYP3A4 in the formation of carbamazepine-10,11-epoxide, the major metabolite of carbamazepine. Results of the study showed that: (1) purified CYP3A4 catalyzed 10,11-epoxidation; (2) cDNA-expressed CYP3A4 catalyzed 10,11-epoxidation (Vmax = 1730 pmol/min/nmol P450, Km = 442 microM); (3) the rate of 10,11-epoxidation correlated with CYP3A4 content in microsomes from sixteen human livers (r2 = 0.57, P < 0.001); (4) triacetyloleandomycin and anti-CYP3A4 IgG reduced 10,11-epoxidation to 31 +/- 6% (sixteen livers) and 43 +/- 2% (four livers) of control rates, respectively; and (5) microsomal 10,11-epoxidation but not phenol formation was activated 2- to 3-fold by alpha-naphthoflavone and progesterone and by carbamazepine itself (substrate activation). These findings indicate that CYP3A4 is the principal catalyst of 10,11-epoxide formation in human liver. Experiments utilizing a panel of P450 isoform selective inhibitors also suggested a minor involvement of CYP2C8 in liver microsomal 10,11-epoxidation. Epoxidation by CYP2C8 was confirmed in incubations of carbamazepine with cDNA-expressed CYP2C8. The role of CYP3A4 in the major pathway of carbamazepine elimination is consistent with the number of inhibitory drug interactions associated with its clinical use, interactions that result from a perturbation of CYP3A4 catalytic activity.
Abstract: 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: 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: BACKGROUND: St John's Wort is a popular herbal product used by approximately 7% of patients with epilepsy. Previous reports have described reductions in concentrations of CYP3A4 substrates indinavir and cyclosporine (INN, ciclosporin) associated with St John's Wort. OBJECTIVE: Our objective was to determine the effect of St John's Wort on steady state carbamazepine and carbamazepine-10,11-epoxide pharmacokinetics. METHODS AND SUBJECTS: Eight healthy volunteers (5 men; age range, 24-43 years) participated in this unblinded study. Subjects received 100 mg of carbamazepine twice daily for 3 days, 200 mg twice daily for 3 days, and then 400 mg once daily for 14 days. Blood samples were collected before and 1, 2, 4, 6, 8, 10, 12, and 24 hours after the dose on day 21. The subjects then took 300 mg of St John's Wort (0.3% hypericin standardized tablet) 3 times daily with meals and with carbamazepine for 14 days. On day 35, blood sampling was repeated. Plasma samples were analyzed for carbamazepine and carbamazepine-10,11-epoxide with HPLC. We compared carbamazepine and carbamazepine-10,11-epoxide noncompartmental pharmacokinetic parameter values before and after St John's Wort with a paired Student t test. RESULTS: We found no significant differences before or after the administration of St John's Wort in carbamazepine peak concentration (7.2 +/- 1 mg/L before versus 7.6 +/- 1.3 mg/L after), trough concentration (4.8 +/- 0.5 mg/L before versus 4.3 +/- 0.8 mg/L after), area under the plasma concentration-time curve (142.4 +/- 12.9 mg x h/L before versus 143.8 +/- 27.2 mg x h/L after), or oral clearance (2.8 +/- 0.3 L/h before versus 2.9 +/- 0.6 L/h after). Similarly, no differences were found in peak concentration (2 +/- 0.5 mg/L before versus 2.1 +/- 0.4 mg/L after), trough concentration (1.3 +/- 0.3 mg/L before versus 1.4 +/- 0.3 mg/L after), and area under the plasma concentration-time curve (37.5 +/- 7.4 mg x h/L before versus 41.9 +/- 10.3 mg x h/L after) of carbamazepine-10,11-epoxide. CONCLUSIONS: The results suggest that treatment with St John's Wort for 14 days did not further induce the clearance of carbamazepine.
Abstract: 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: 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: BACKGROUND: Roughly 20% of patients in hospital have impaired kidney function. This is frequently overlooked because of the creatinine-blind range in which early stages of renal failure are often hidden. Chronic kidney disease is divided into 5 stages (CKD 1 to 5). METHODS: Selective literature search. RESULTS: Methotrexate, enoxaparin and metformin are examples of drugs that should no longer be prescribed if the glomerular filtration rate (GFR) is 60 mL/min or less. With antidiabetic (e.g. glibenclamide), cardiovascular (e.g. atenolol) or anticonvulsive (e.g. gabapentin) drugs, the advice is to use alternative preparations such as gliquidone, metoprolol or carbamazepine which are independent of kidney function. Drug dose adjustment should be considered with antimicrobial (e.g. ampicillin, cefazolin), antiviral (e.g. aciclovir, oseltamivir) and, most recently, also for half of all chemotherapeutic and cytotoxic drugs in patients with impaired kidney function (with e.g. cisplatin, for instance, but not with paclitaxel). CONCLUSION: Decisions concerning drug dose adjustment must be based on the pharmacokinetics but this is an adequate prerequisite only in conjunction with the pharmacodynamics. There are two different dose adjustment rules: proportional dose reduction according to Luzius Dettli, and the half dosage rule according to Calvin Kunin. The latter leads to higher trough concentrations but is probably more efficient for anti-infective therapy.
Abstract: Carbamazepine is a widely prescribed antiepileptic drug. Owing to the lack of an intravenous formulation, its absolute bioavailability, absolute clearance, and half-life in patients at steady state have not been determined. We developed an intravenous, stable-labeled (SL) formulation in order to characterize carbamazepine pharmacokinetics in patients. Ninety-two patients received a 100-mg infusion of SL-carbamazepine as part of their morning dose. Blood samples were collected up to 96 hours after drug administration. Plasma drug concentrations were measured with liquid chromatography-mass spectrometry, and concentration-time data were analyzed using a noncompartmental approach. Absolute clearance (l/hr/kg) was significantly lower in men (0.039 ± 0.017) than in women (0.049 ± 0.018; P = 0.007) and in African Americans (0.039 ± 0.017) when compared with Caucasians (0.048 ± 0.018; P = 0.019). Half-life was significantly longer in men than in women as well as in African Americans as compared with Caucasians. The absolute bioavailability was 0.78. Sex and racial differences in clearance may contribute to variable dosing requirements and clinical response.
Abstract: To facilitate therapeutic monitoring of antiepileptic drugs (AEDs) by healthcare professionals for patients with epilepsy (PWE), we applied a GC-MS assay to measure three AEDs: carbamazepine (CBZ), phenytoin (PHT) and valproic acid (VPA) levels concurrently in one dried blood spot (DBS), and validated the DBS-measured levels to their plasma levels. 169 PWE on either mono- or polytherapy of CBZ, PHT or/and VPA were included. One DBS, containing ∼15 µL of blood, was acquired for the simultaneous measurement of the drug levels using GC-MS. Simple Deming regressions were performed to correlate the DBS levels with the plasma levels determined by the conventional immunoturbimetric assay in clinical practice. Statistical analyses of the results were done using MedCalc Version 184.108.40.206 and SPSS 21. DBS concentrations (Cdbs) were well-correlated to the plasma concentrations (Cplasma): r=0.8381, 0.9305 and 0.8531 for CBZ, PHT and VPA respectively, The conversion formulas from Cdbs to plasma concentrations were [0.89×CdbsCBZ+1.00]µg/mL, [1.11×CdbsPHT-1.00]µg/mL and [0.92×CdbsVPA+12.48]µg/mL respectively. Inclusion of the red blood cells (RBC)/plasma partition ratio (K) and the individual hematocrit levels in the estimation of the theoretical Cplasma from Cdbs of PHT and VPA further improved the identity between the observed and the estimated theoretical Cplasma. Bland-Altman plots indicated that the theoretical and observed Cplasma of PHT and VPA agreed well, and >93.0% of concentrations was within 95% CI (±2SD); and similar agreement (1∶1) was also found between the observed Cdbs and Cplasma of CBZ. As the Cplasma of CBZ, PHT and VPA can be accurately estimated from their Cdbs, DBS can therefore be used for drug monitoring in PWE on any of these AEDs.
Abstract: The aim of the present study was to investigate the distribution ofvariantsand, as well as their effect on carbamazepine pharmacokinetic properties, in 40 epileptic pediatric patients on carbamazepine treatment. Genotyping was conducted using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), and allele-specific (AS)-PCR methods, and steady-state carbamazepine plasma concentrations were determined by high performance liquid chromatography (HPLC). Theandpolymorphisms were found at frequencies of 17.5 and 0.0%, respectively. After dose adjustment, there was a difference in daily dose incarriers compared to non carriers [mean ± standard deviation (SD): 14.19 ± 5.39. 15.46 ± 4.35 mg/kg;= 0.5]. Dose-normalized serum concentration of carbamazepine was higher in(mean ± SD: 0.54 ± 0.18 vs. 0.43 ± 0.11 mg/mL,= 0.04), and the observed correlation between weight-adjusted carbamazepine dose and carbamazepine concentration after dose adjustment was significant only innon carriers (r = 0.52,= 0.002). However, the population pharmacokinetic analysis failed to demonstrate any significant effect ofpolymorphism on carbamazepine clearance [CL L/h = 0.215 + 0.0696*SEX+ 0.000183*DD]. The results indicated that thepolymorphism might not be of clinical importance for epilepsy treatment in pediatric populations.
Abstract: 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.