118 resultados para Clinical pharmacology
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Background and objective: Therapeutic Drug Monitoring (TDM) has been introduced early 1970 in our hospital (CHUV). It represents nowadays an important routine activity of the Division of Clinical Pharmacology and Toxicology (PCL), and its impact and utility for clinicians required assessment. This study thus evaluated the impact of TDM recommendations in terms of dosage regimen adaptation. Design: A prospective observational study was conducted over 5 weeks. The primary objective was to evaluate the application of our TDM recommendations and to identify potential factors associated to variations in their implementation. The secondary objective was to identify pre-analytical problems linked to the collection and processing of blood samples. Setting: Four representative clinical units at CHUV. Main outcome measure: Clinical data, drug related data (intake, collection and processing) and all information regarding the implementation of clinical recommendations were collected and analyzed by descriptive statistics. Results: A total of 241 blood measurement requests were collected, among which 105 triggered a recommendation. 37% of the recommendations delivered were applied, 25 % partially applied and 34% not applied. In 4% it was not applicable. The factors determinant for implementation were the clinical unit and the mode of transmission of the recommendation (written vs oral). No clear difference between types of drugs could be detected. Pre-analytical problems were not uncommon, mostly related to completion of request forms and delays in blood sampling (equilibration or steady-state not reached). We have identified 6% of inappropriate and unusable drug level measurements that could cause a substantial cost for the hospital. Conclusion: This survey highlighted a better implementation of TDM recommendations in clinical units where this routine is well integrated and understood by the medical staff. Our results emphasize the importance of communication with the nurse or the physician in charge, either to transmit clinical recommendations or to establish consensual therapeutic targets in specific conditions. Development of strong partnerships between clinical pharmacists or pharmacologists and clinical units would be beneficial to improve the impact of this clinical activity.
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BACKGROUND AND OBJECTIVES: Cytochrome P450 (CYP) 3A4 is the main CYP isozyme involved in methadone metabolism. We investigated the influence of grapefruit juice, which contains inhibitors of intestinal CYP3A, on the steady-state pharmacokinetics of methadone. METHODS: For 5 days, 8 patients undergoing methadone maintenance treatment received 200 mL water or grapefruit juice 30 minutes before and again together with their daily dose of methadone. Blood sampling for R-, S-, and R,S-methadone plasma determination was performed over a 24-hour period. CYP3A activity was determined by measuring the plasma 1'-hydroxymidazolam/midazolam ratio. RESULTS: A decrease in the midazolam ratio was measured in all patients after grapefruit juice (mean +/- SD before grapefruit juice, 9.3 +/- 5.9; mean +/- SD after grapefruit juice, 3.9 +/- 1.2; P <.05). Grapefruit juice led to a mean 17% increase in the area under the curve extrapolated to 24 hours for both enantiomers of methadone (range, 3% to 29% [P <.005]; range, -4% to 37% [P <.05]; and range, 1% to 32% [P <.01]; for R-, S-, and R,S-methadone, respectively). A similar increase in peak level and decrease in apparent clearance were measured with grapefruit juice, whereas time to peak level, terminal half-life, and apparent volume during the terminal phase of R-, S-, and R,S-methadone were not affected by grapefruit juice. No symptom of overmedication was either detected by the clinical staff or reported by the patients. CONCLUSIONS: Grapefruit juice administration is associated with a modest increase in methadone bioavailability, which is not expected to endanger patients. However, it cannot be excluded that a much stronger effect may occur in some patients, and thus grapefruit juice intake is not recommended during methadone maintenance treatment, in particular in patients initiating such a treatment.
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OBJECTIVES: We have reported previously that 80 mg valsartan and 50 mg losartan provide less receptor blockade than 150 mg irbesartan in normotensive subjects. In this study we investigated the importance of drug dosing in mediating these differences by comparing the AT(1)-receptor blockade induced by 3 doses of valsartan with that obtained with 3 other antagonists at given doses. METHODS: Valsartan (80, 160, and 320 mg), 50 mg losartan, 150 mg irbesartan, and 8 mg candesartan were administered to 24 healthy subjects in a randomized, open-label, 3-period crossover study. All doses were given once daily for 8 days. The angiotensin II receptor blockade was assessed with two techniques, the reactive rise in plasma renin activity and an in vitro radioreceptor binding assay that quantified the displacement of angiotensin II by the blocking agents. Measurements were obtained before and 4 and 24 hours after drug intake on days 1 and 8. RESULTS: At 4 and 24 hours, valsartan induced a dose-dependent "blockade" of AT(1) receptors. Compared with other antagonists, 80 mg valsartan and 50 mg losartan had a comparable profile. The 160-mg and 320-mg doses of valsartan blocked AT(1) receptors at 4 hours by 80%, which was similar to the effect of 150 mg irbesartan. At trough, however, the valsartan-induced blockade was slightly less than that obtained with irbesartan. With use of plasma renin activity as a marker of receptor blockade, on day 8, 160 mg valsartan was equivalent to 150 mg irbesartan and 8 mg candesartan. CONCLUSIONS: These results show that the differences in angiotensin II receptor blockade observed with the various AT(1) antagonists are explained mainly by differences in dosing. When 160-mg or 320-mg doses were investigated, the effects of valsartan hardly differed from those obtained with recommended doses of irbesartan and candesartan.
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Introduction Liver kidney microsomal type 1 (LKM-1) antibodies have been shown to decrease CYP2D6 activity in vitro. We investigated whether LKM-1 antibodies might reduce CYP2D6 activity also in vivo.Materials and Methods All patients with chronic hepatitis C and LKM-1 antibodies enrolled in the Swiss Hepatitis C Cohort Study (SCCS) were assessed: ten were eligible and fi tted to patients without LKM-1 antibodies. Patients were genotyped for CYP2D6 variants to exclude individuals with a poor metabolizer genotype. CYP2D6 activity was measured by a specifi c substrate using the dextromethorphan/dextrorphan (DEM/DOR) metabolic ratio to classify patients into four activity phenotypes (i.e. ultrarapid, extensive, intermediate and poor metabolizers). The concordance between phenotype based on DEM/DOR ratio and phenotype expected from genotype was examined in LKM-1 positive and negative patients. Groups were compared with respect to the DEM/DOR metabolic ratio.Results All patients had a CYP2D6 extensive metabolizer genotype. The observed phenotype was concordant with CYP2D6 genotype in most LKM-negative patients, whereas only three (30%) LKM-1 positive patients had a concordant phenotype (six presented an intermediate and one a poor metabolizer phenotype). The median DEM/DOR ratio was six-fold higher in LKM-1 positive than in LKM-1 negative patients (0.096 vs. 0.016, p = 0.004), indicating that CYP2D6 metabolic function was significantly reduced in the presence of LKM-1 antibodies.Conclusion In chronic hepatitis C patients with LKM-1 antibodies, the CYP2D6 metabolic activity was on average reduced by 80%. The impact of LKM-1 antibodies on CYP2D6-mediated drug metabolism pathways warrants further translational studies in the setting of new protease inhibitor therapies
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Concentrations of total (R) + (S) and of the enantiomers (R) and (S) of thioridazine and metabolites were measured in 21 patients who were receiving 100 mg thioridazine for 14 days and who were comedicated with moclobemide (450 mg/day). Two patients were poor metabolizers of dextromethorphan and one was a poor metabolizer of mephenytoin. Cytochrome P450IID6 (CYP2D6) is involved in the formation of thioridazine 2-sulfoxide (2-SO) from thioridazine and also probably partially in the formation of thioridazine 5-sulfoxide (5-SO), but not in the formation of thioridazine 2-sulfone (2-SO2) from thioridazine 2-SO. Significant correlations between the mephenytoin enantiomeric ratio and concentrations of thioridazine and metabolites suggest that cytochrome P450IIC19 could contribute to the biotransformation of thioridazine into yet-unknown metabolites, other than thioridazine 2-SO, thioridazine 2-SO2, or thioridazine 5-SO. An enantioselectivity and a large interindividual variability in the metabolism of thioridazine have been shown: measured (R)/(S) ratios of thioridazine, thioridazine 2-SO fast eluting (FE), thioridazine 2-SO slow eluting (SE), thioridazine 2-SO (FE+SE), thioridazine 2-SO2, thioridazine 5-SO(FE), and thioridazine 5-SO(SE) were (mean +/- SD) 3.48 +/- 0 .93 (range, 2.30 to 5.80), 0.45 +/- 0.22 (range, 0.21 to 1.20), 2.27 +/- 8.1 (range, 6.1 to 40.1), 4.64 +/- 0.68 (range, 2.85 to 5.70), 3.26 +/- 0.58 (range, 2.30 to 4.30), 0.049 +/- 0.019 (range, (0.021 to 0.087), and 67.2 +/- 66.2 (range, 16.8 to 248), respectively. CYP2D6 is apparently involved in the formation of (S)-thioridazine 2-SO(FE), (R)-thioridazine 2-SO(SE), and also probably (S)-thioridazine 5-SO(FE) and (R)-thioridazine 5-SO(SE).
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The kinetics of atrial natriuretic peptides (ANP) and the kinetic profile of their effect on blood pressure and renal hemodynamic and electrolyte excretion were investigated in 20 salt-loaded healthy volunteers during and after constant rate infusion. At steady state, mean plasma concentrations of ANP were measured at 210, 430, and 2990 pg/ml and mean systemic clearance was 2.6, 2.5, and 1.7 L/min for ANP infusion rates of 0.5, 1, and 5 micrograms/min, respectively, which corresponds to the clearance rate of other vasoactive peptide hormones. The apparent volume of distribution averaged 17 L and the mean half-life was 4.5 minutes. ANP induced dose-related effects on systemic and renal hemodynamic, as well as urinary electrolyte excretion, albeit with a time lag between onset and full effect.
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Introduction: Mirtazapine is a noradrenergic and serotonergic antidepressant mainly acting through blockade of presynaptic alpha-2 receptors. Published data on pregnancy outcome after exposure to mirtazapine are scarce. This study addresses the risk associated with exposure to mirtazapine during pregnancy. Patients (or Materials) and Methods: Multicenter (n = 11), observational prospective cohort study comparing pregnancy outcomes after exposure to mirtazapine with 2 matched control groups: exposure to any selective serotonin reuptake inhibitor (SSRI) as a diseasematched control group, and general controls with no exposure to medication known to be teratogenic or to any antidepressant. Data were collected by members of the European Network of Teratology Information Services (ENTIS) during individual risk counseling between 1995 and 2011. Standardized procedures for data collection were used in each center. Results: A total of 357 pregnant women exposed to mirtazapine at any time during pregnancy were included in the study and compared with 357 pregnancies from each control group. The rate of major birth defects between the mirtazapine and the SSRI group did not differ significantly (4.5% vs 4.2%; unadjusted odds ratio, 1.1; 95% confidence interval, 0.5-2.3, P = 0.9). A trend toward a higher rate of birth defects in the mirtazapine group compared with general controls did not reach statistical significance (4.2% vs 1.9%; OR, 2.4; 95% CI, 0.9-6.3; P = 0.08). The crude rate of spontaneous abortions did not differ significantly between the mirtazapine, the SSRI, and the general control groups (9.5% vs 10.4% vs 8.4%; P = 0.67), neither did the rate of deliveries resulting in live births (79.6% vs 84.3% in both control groups; P = 0.15). However, a higher rate of elective pregnancy-termination was observed in the mirtazapine group compared with SSRI and general controls (7.8% vs 3.4% vs 5.6%; P = 0.03). Premature birth (< 37 weeks) (10.6% vs 10.1% vs 7.5%; P = 0.38), gestational age at birth (median, 39 weeks; interquartile range (IQR), 38-40 in all groups; P = 0.29), and birth weight (median, 3320 g; IQR, 2979-3636 vs 3230 g; IQR, 2910-3629 vs 3338 g; IQR, 2967-3650; P = 0.34) did not differ significantly between the groups. Conclusion: This study did not observe a statistically significant difference in the rate of major birth defects between mirtazapine, SSRI-exposed, and nonexposed pregnancies. A slightly higher rate of birth defects was, however, observed in the mirtazapine and SSRI groups compared with the low rate of birth defects in our general controls. Overall, the pregnancy outcome after mirtazapine exposure in this study is very similar to that of the SSRI-exposed control group.
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Whether a higher dose of a long-acting angiotensin II receptor blocker (ARB) can provide as much blockade of the renin-angiotensin system over a 24-hour period as the combination of an angiotensin-converting enzyme inhibitor and a lower dose of ARB has not been formally demonstrated so far. In this randomized double-blind study we investigated renin-angiotensin system blockade obtained with 3 doses of olmesartan medoxomil (20, 40, and 80 mg every day) in 30 normal subjects and compared it with that obtained with lisinopril alone (20 mg every day) or combined with olmesartan medoxomil (20 or 40 mg). Each subject received 2 dose regimens for 1 week according to a crossover design with a 1-week washout period between doses. The primary endpoint was the degree of blockade of the systolic blood pressure response to angiotensin I 24 hours after the last dose after 1 week of administration. At trough, the systolic blood pressure response to exogenous angiotensin I was 58% +/- 19% with 20 mg lisinopril (mean +/- SD), 58% +/- 11% with 20 mg olmesartan medoxomil, 62% +/- 16% with 40 mg olmesartan medoxomil, and 76% +/- 12% with the highest dose of olmesartan medoxomil (80 mg) (P = .016 versus 20 mg lisinopril and P = .0015 versus 20 mg olmesartan medoxomil). With the combinations, blockade was 80% +/- 22% with 20 mg lisinopril plus 20 mg olmesartan medoxomil and 83% +/- 9% with 20 mg lisinopril plus 40 mg olmesartan medoxomil (P = .3 versus 80 mg olmesartan medoxomil alone). These data demonstrate that a higher dose of the long-acting ARB olmesartan medoxomil can produce an almost complete 24-hour blockade of the blood pressure response to exogenous angiotensin in normal subjects. Hence, a higher dose of a long-acting ARB is as effective as a lower dose of the same compound combined with an angiotensin-converting enzyme inhibitor in terms of blockade of the vascular effects of angiotensin.
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METHODS: Twenty-two patients receiving (R)-methadone maintenance treatment were switched to a double dose of (R,S)-methadone: blood samples were collected before and after the change, and the concentrations of the enantiomers were measured. In the second period, during racemic methadone treatment, important interindividual variability in the stereoselective disposition of the enantiomers of methadone was measured, with (R)/(S) ratios ranging from 0.63 to 2.40. This point should be taken into account particularly with respect to therapeutic drug monitoring of racemic methadone. RESULTS: A significant decrease P < 0.005 in the mean serum concentration/dose ratios of the active (R)-enantiomer before and after the change was measured (mean 3.97 and 3.33). CONCLUSION: Although of small amplitude (16%), this decrease confirms previously described adaptive changes in methadone pharmacokinetics during racemic methadone maintenance treatment and may necessitate, in some patients, a dose adjustment.
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The plasma concentrations of alpha 1-acid glycoprotein (AAG), albumin, triglycerides, cholesterol, and total proteins, as well as the plasma binding of racemic, d-methadone, and l-methadone were measured in 45 healthy subjects. The AAG phenotypes and the concentrations of AAG variants were also determined. The measured free fractions for racemic, d-methadone, and l-methadone were, respectively, 12.7% +/- 3.3%, 10.0% +/- 2.9%, and 14.2% +/- 3.2% (mean +/- SD). A significant correlation was obtained between the binding ratio (B/F) for dl-methadone and the total AAG concentration (r = 0.724; p less than 0.001). A multiple stepwise regression analysis showed that AAG was the main explanatory variable for the binding of the racemate. When concentrations of AAG variants were considered, a significant correlation was obtained between the binding ratio of dl-methadone and orosomucoid2 A concentration (r = 0.715; p less than 0.001), a weak correlation between dl-methadone and orosomucoid1 S concentration (r = 0.494; p less than 0.001), and no correlation between dl-methadone and orosomucoid1 F1 concentration (r = 0.049; not significant). Similar findings were obtained with the enantiomers. This study shows the importance of considering not only total AAG but also concentrations of AAG variants when measuring the binding of methadone and possibly of other drugs in plasma.
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Imatinib (Glivec®) has transformed the treatment and short-term prognosis of chronic myeloid leukaemia (CML) and gastrointestinal stromal tumour (GIST). However, the treatment must be taken indefinitely and is not devoid of inconvenience and toxicity. Moreover, resistance or escape from disease control occurs in a significant number of patients. Imatinib is a substrate of the cytochromes P450 CYP3A4/5 and of the multidrug transporter P glycoprotein (product of the MDR1 gene), and is also bound to the alpha1-acid glycoprotein (AAG) in plasma. Considering the large inter-individual differences in the expression and function of those systems, the disposition and clinical activity of imatinib can be expected to vary widely among patients, calling for dosage individualisation. The aim of this exploratory study was to determine the average pharmacokinetic parameters characterizing the disposition of imatinib in the target population, to assess their inter-individual variability, and to identify influential factors affecting them. A total of 321 plasma concentrations were measured in 59 patients receiving Glivec® at diverse dosage regimens, using a validated chromatographic method developed for this study. The results were analysed by non-linear mixed effect modelling (NONMEM). A one-compartment model with first-order absorption described the data appropriately, with an average apparent clearance of 12.4 l/h, a volume of distribution of 268 l and an absorption constant of 0.47 h-1. The clearance was affected by body weight, age and sex. No influences of interacting drugs were found. DNA samples were used for pharmacogenetic explorations. The MDR1 polymorphism 3435C>T and the AAG phenotype appears to modulate the disposition of imatinib. Large inter-individual variability (CV %) remained unexplained by the demographic covariates considered, both on clearance (40%) and distribution volume (71%). Together with intra-patient variability (34%), this translates into an 8-fold width of the 90%-prediction interval of plasma concentrations expected under a fixed dosing regimen. This is a strong argument to further investigate the possible usefulness of a therapeutic drug monitoring programme for imatinib. It may help in individualising the dosing regimen before overt disease progression or observation of treatment toxicity, thus improving both the long-term therapeutic effectiveness and tolerability of this drug.
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Introduction Statin use in women of childbearing age is increasingly common. However, published data on pregnancy outcome after exposure to statins are scarce and conflicting. This contribution addresses the safety of statin use during pregnancy.Materials and Methods In a multi-centre (n = 11), prospective study we compared the outcomes of 249 women exposed during the 1st trimester of pregnancy to simvastatin (n = 124), atorvastatin (n = 67), pravastatin (n = 32), rosuvastatin (n = 18), fl uvastatin (n = 7) or cerivastatin (n = 1) with a control group exposed to agents known to be non-teratogenic (n = 249). Data were collected by members of the European Network of Teratology Information Services during individual risk counselling.Results The difference in the rate of major birth defects between the statinexposed and the control group was statistically insignificant (4.0% versus 2.7% OR 1.5; 95% CI 0.5-4.5, p = 0.44). The crude rate of spontaneous abortions (12.8% versus 7.1%, OR 1.9, 95% CI 1.0-3.6, p = 0.04) was higher in the exposed group. However, after adjustment to maternal age and gestational age at initial contact, the difference became insignificant. The rate of elective pregnancy-termination (8.8% versus 4.4%, p = 0.05) was higher and the rate of live births was lower in the exposed group (77.9% versus 88.4%, p = 0.002). Prematurity was more frequent in exposed pregnancies (16.1% versus 8.5%; OR 2.1, 95% CI 1.1- 3.8, p = 0.02). Nonetheless, gestational age at birth (median 39 weeks, IQR 37-40 versus 39 weeks, IQR 38-40, p = 0.27) and birth weight (median 3280 g, IQR 2835-3590 versus 3250 g, IQR 2880- 3600, p = 0.95) did not differ between exposed and non-exposed pregnancies.Conclusion This study did not detect a teratogenic effect of statins. Its statistical power however is not sufficient to reverse the recommendation of treatment discontinuation during pregnancy.
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OBJECTIVE: The reverse transcriptase inhibitor efavirenz is currently used at a fixed dose of 600 mg/d. However, dosage individualization based on plasma concentration monitoring might be indicated. This study aimed to assess the efavirenz pharmacokinetic profile and interpatient versus intrapatient variability in patients who are positive for human immunodeficiency virus, to explore the relationship between drug exposure, efficacy, and central nervous system toxicity and to build up a Bayesian approach for dosage adaptation. METHODS: The population pharmacokinetic analysis was performed by use of NONMEM based on plasma samples from a cohort of unselected patients receiving efavirenz. With the use of a 1-compartment model with first-order absorption, the influence of demographic and clinical characteristics on oral clearance and oral volume of distribution was examined. The average drug exposure during 1 dosing interval was estimated for each patient and correlated with markers of efficacy and toxicity. The population kinetic parameters and the variabilities were integrated into a Bayesian equation for dosage adaptation based on a single plasma sample. RESULTS: Data from 235 patients with a total of 719 efavirenz concentrations were collected. Oral clearance was 9.4 L/h, oral volume of distribution was 252 L, and the absorption rate constant was 0.3 h(-1). Neither the demographic covariates evaluated nor the comedications showed a clinically significant influence on efavirenz pharmacokinetics. A large interpatient variability was found to affect efavirenz relative bioavailability (coefficient of variation, 54.6%), whereas the intrapatient variability was small (coefficient of variation, 26%). An inverse correlation between average drug exposure and viral load and a trend with central nervous system toxicity were detected. This enabled the derivation of a dosing adaptation strategy suitable to bring the average concentration into a therapeutic target from 1000 to 4000 microg/L to optimize viral load suppression and to minimize central nervous system toxicity. CONCLUSIONS: The high interpatient and low intrapatient variability values, as well as the potential relationship with markers of efficacy and toxicity, support the therapeutic drug monitoring of efavirenz. However, further evaluation is needed before individualization of an efavirenz dosage regimen based on routine drug level monitoring should be recommended for optimal patient management.