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Biomedical subjects

G Mikus

Publications and source records attributed to G Mikus.

At least 19 recordsLinked to original sources
PubMed2002

Treatment of life-threatening multiresistant staphylococcal and enterococcal infections in patients with end-stage renal failure with quinupristin/dalfopristin: preliminary report.

BACKGROUND: Life-threatening infections with multiresistant gram-positive bacteria are increasing. Treatment with quinupristin/dalfopristin (Q-D) has turned out to be effective against such resistant pathogens. PATIENTS AND METHODS: We report on treatment of six patients on dialysis (four with additional liver injury) and of one renal graft recipient with normal renal function who had severe infections caused by multiresistant Staphylococus epidermidis (1/7), methicillin-resistant Staphylococcus aureus (4/7) and vancomycin-resistant Enterococcus faecium (2/7). RESULTS: Six out of seven patients were cured by therapy with Q-D in adjusted doses lasting for 10 to 34 days. Pharmacokinetics of Q-D and its metabolites were determined and remained within the therapeutic range, despite a modest increase of all compounds at the presumed steady state. The concentrations of the metabolites of Q-D were clearly lower than the parent drugs, including those of quinupristin-conjugated derivatives, which has not been reported previously. CONCLUSION: These preliminary results suggest that: a) neither quinupristin nor dalfopristin or its metabolites accumulated despite the long duration of treatment; b) no adjustment of the standard dosage regimen (three times 7.5 mg/kg/day) is necessary in end-stage renal disease.

Aged↗
PubMed2001

Fluctuation effects in an epidemic model.

We study a discrete epidemic model A+B-->2A in one and two dimensions (1D and 2D). In 1D for low concentration theta, we find that a depletion zone exists ahead of the front and the average velocity of the front approaches v=theta/2. In the 1D high concentration limit, we find that the velocity approaches v=1-e(-theta/2). In 2D, for low concentration we also find a depletion zone, and the velocity scales as v approximately theta(0.6), which is different from the scaling expected from the mean field approximation, v approximately theta(0.5). Analysis of the interface width scaling properties demonstrated that the front dynamics of this reaction are not governed by the Kardar-Parisi-Zhang equation.

Journal Article↗
PubMed2001

Contribution of dihydrocodeine and dihydromorphine to analgesia following dihydrocodeine administration in man: a PK-PD modelling analysis.

AIMS: It is not clear whether the analgesic effect following dihydrocodeine (DHC) administration is due to either DHC itself or its metabolite, dihydromorphine (DHM). We examined the relative contribution of DHC and DHM to analgesia following DHC administration in a group of healthy volunteers using a PK-PD link modelling approach. METHODS: A single oral dose of DHC (90 mg) was administered to 10 healthy volunteers in a randomised, double-blind, placebo-controlled study. A computerized cold pressor test (CPT) was used to measure analgesia. On each study day, the volunteers performed the CPT before study medication and at 1.25, 2.75, 4.25 and 5.75 h postdose. Blood samples were taken at 0.25 h (predose) and then at half hourly intervals for 5.75 h postdose. PK-PD link modelling was used to describe the relationships between DHC, DHM and analgesic effect. RESULTS: Mean pain AUCs following DHC administration were significantly different to those following placebo administration (P = 0.001). Mean pain AUC changes were 91 score x s(-1) for DHC and -17 score x s(-1) for placebo (95% CI = +/- 36.5 for both treatments). The assumption of a simple linear relationship between DHC concentration and effect provided a significantly better fit than the model containing DHM as the active moiety (AIC = 4.431 vs 4.668, respectively). The more complex models did not improve the likelihood of model fits significantly. CONCLUSIONS: The findings suggest that the analgesic effect following DHC ingestion is mainly attributed to the parent drug rather than its DHM metabolite. It can thus be inferred that polymorphic differences in DHC metabolism to DHM have little or no effect on the analgesic affect.

Administration, Oral↗
PubMed2001

Ritonavir increases loperamide plasma concentrations without evidence for P-glycoprotein involvement.

BACKGROUND: The antidiarrheal drug loperamide is frequently used to treat ritonavir-associated diarrhea in patients with human immunodeficiency virus. The absence of marked central opioid effects has been attributed to its low bioavailability and its poor penetration of the blood-brain barrier, both of which might be altered by ritonavir, a potent P-glycoprotein and cytochrome P4503A inhibitor. METHODS: A 16-mg dose of loperamide was administered to 12 healthy male and female volunteers together with either 600 mg of ritonavir or placebo. Detailed pharmacokinetics of loperamide and its metabolites were determined over 72 hours. Central opioid effects were measured by evaluation of pupil diameter, cold pressor test, and transcutaneous PCO2 and PO2. RESULTS: Ritonavir caused a major pharmacokinetic interaction, increasing the area under the concentration-time curve of loperamide from 104 +/- 60 h x pmol/ml after placebo to 276 +/- 68 h. pmol/ml and delayed formation of the major metabolite desmethylloperamide (time to reach maximum concentration after drug administration [t(max)], 7.1 +/- 2.6 hours versus 19.6 +/- 9.1 hours). The urinary metabolic ratio of loperamide increased 3 times whereas the total molar amount of loperamide and metabolites excreted in urine remained unchanged. No central pharmacodynamic effects were observed after coadministration of loperamide with either ritonavir or placebo. CONCLUSION: This study demonstrates a major metabolic interaction probably by cytochrome P4503A4 with no evidence of P-glycoprotein involvement. This might explain the lack of central effects after ritonavir.

ATP Binding Cassette Transporter, Subfamily B, Mem↗
PubMed2000

Morphine-related metabolites differentially activate adenylyl cyclase isozymes after acute and chronic administration.

Morphine-3- and morphine-6-glucuronide are morphine's major metabolites. As morphine-6-glucuronide produces stronger analgesia than morphine, we investigated the effects of acute and chronic morphine glucuronides on adenylyl cyclase (AC) activity. Using COS-7 cells cotransfected with representatives of the nine cloned AC isozymes, we show that AC-I and V are inhibited by acute morphine and morphine-6-glucuronide, and undergo superactivation upon chronic exposure, while AC-II is stimulated by acute and inhibited by chronic treatment. Morphine-3-glucuronide had no effect. The weak opiate agonists codeine and dihydrocodeine are also addictive. These opiates, in contrast to their 3-O-demethylated metabolites morphine and dihydromorphine (formed by cytochrome P450 2D6), demonstrated neither acute inhibition nor chronic-induced superactivation. These results suggest that metabolites of morphine (morphine-6-glucuronide) and codeine/dihydrocodeine (morphine/dihydromorphine) may contribute to the development of opiate addiction.

Adenylyl Cyclase Inhibitors↗
PubMed2000

[Clinical relevance of drug metabolism polymorphisms].

Individual variation in drug response is a substantial clinical problem. Research in pharmacogenetics is currently evolving in two directions, firstly to identify genes and gene products associated with certain diseases, which may serve as targets for new drugs, and secondly to identify genes and allelic variants of genes that affect the expected and adverse response to current and future drugs. In that respect drug metabolising enzymes play a key role. A readily and widely available pheno- and/or genotyping service for drug metabolism polymorphisms is currently not established and the clinical relevance has only been shown for a limited number of drugs. The overall pharmacologic effects are typically not monogenic traits, they are a result of an interaction of several genes encoding proteins involved in drug metabolism, disposition, and effects. Each individual represents a unique combination of polymorphic genes that are known to be involved in the metabolism and disposition of medications, in the target structures of drug therapy, and in the pathogenesis of diseases. This will lead to the development of DNA chips for genotyping which will guide the selection and dosing of drug therapy in the future.

Algorithms↗
PubMed2000

Pharmacokinetics and pharmacodynamics of R- and S-gallopamil during multiple dosing.

AIMS: Using a stable isotope technique we investigated the pharmacokinetics and pharmacodynamics of gallopamil after administration of 50 mg pseudoracemic gallopamil every 12 h for 7 doses (72 h). METHODS: Six male healthy volunteers were studied. After the seventh dose the pharmacokinetics and pharmacodynamics were assessed. Serum levels of gallopamil were measured by gas chromatography/mass spectrometry. Effects of gallopamil were measured by ECG recording. RESULTS: The apparent oral clearances (R: 4.8 l min-1 (95% CI: 2.9-6.8); S: 5.5 l min-1 (95% CI: 2.5-8.5)) and half-lives (R: 6.2 h; S: 7.2 h) of R- and S-gallopamil were similar (P >0.05). The serum protein binding (fu R: 0.035 (95% CI: 0.026-0. 045); S: 0.051 (95% CI: 0.033-0.069)) and the renal elimination (% of dose R: 0.49%; S: 0.71%) were enantioselective. Gallopamil had a potent effect on the PR interval (% prolongation 35.7% (95% CI: 14. 0-57.3)). No changes in other electrocardiographic or cardiovascular parameters were observed. CONCLUSIONS: The pharmacokinetics and bioavailability of the racemic drug gallopamil are not stereoselective at steady-state and are therefore not substantially altered compared with the single dose administration of gallopamil.

Area Under Curve↗
PubMed2000

Gabapentin enhances the analgesic effect of morphine in healthy volunteers.

UNLABELLED: The most effective group of drugs for the treatment of severe pain is opioid analgesics. Their use, however, is limited by decreased effects in neuropathic and chronic pain as a result of increased pain and development of tolerance. Gabapentin (GBP) is effective in both experimental models of chronic pain and clinical studies of neuropathic pain. Therefore, we investigated, in a randomized, placebo-controlled, double-blinded study, the pharmacodynamic and pharmacokinetic interaction of GBP and morphine in 12 healthy male volunteers. Morphine (60 mg, controlled release) or placebo was administered at 8:00 AM, and GBP (600 mg) or placebo was administered at 10:00 AM, thus comparing the analgesic effect of placebo + GBP (600 mg) with placebo + placebo and morphine (60 mg) + GBP in comparison to morphine plus placebo by using the cold pressor test. The duration and intensity of the side effects were assessed by using visual analog scales. The analgesic effect was evaluated by the change in the area under the curve (h x %; 0% baseline before Medication 1) of pain tolerance. Placebo + GBP (18.9% x h, 95% confidence interval [CI]: -2.5 to 40.3) did not present any significant analgesic effect compared with placebo + placebo (4.7% x h, 95% CI: -16.7 to 26.1). A significant increase in pain tolerance was observed comparing the combination of morphine and GBP (75.5% x h, 95% CI: 54.0-96.9) with morphine + placebo (40.6% x h, 95% CI: 19. 2-62.0). The observed adverse events after placebo + GBP were not significantly different compared with placebo + placebo. Morphine + placebo led to the expected opioid-mediated side effects. They were significantly more pronounced compared with placebo + placebo but did not differ significantly compared with the combination of morphine + GBP. Concerning the pharmacokinetic variables of morphine and its glucuronides, no significant difference between morphine + placebo and morphine + GBP was observed, whereas the area under the curve of GBP (43.9 +/- 5.3 vs 63.4 +/- 16.2 microg. h(-1). mL(-1), P < 0.05) significantly increased, and apparent oral clearance (230.8 +/- 29.4 mL/min vs 178 +/- 97.9 mL/min, P = 0.06) and apparent renal clearance (86.9 +/- 20.6 vs 73.0 +/- 24.2 mL/min, P = 0.067) of GBP decreased when morphine was administered concomitantly. These results suggest two different sites for the pharmacokinetic interaction-one at the level of absorption and the other at the level of elimination. Our study reveals both a pharmacodynamic and pharmacokinetic interaction between morphine and GBP, leading to an increased analgesic effect of morphine + GBP. These results and the good tolerability of GBP should favor clinical trials investigating the clinical relevance of the combination of morphine and GBP for treating severe pain. IMPLICATIONS: In a randomized, placebo-controlled, double-blinded trial with 12 healthy volunteers, we studied the interaction of morphine and gabapentin using the cold pressor test. The anticonvulsant gabapentin enhanced the acute analgesic effect of morphine. Furthermore, the plasma concentration of gabapentin was increased when morphine was administered concomitantly. Therefore, the well tolerated combination of gabapentin and morphine may improve pain therapy, especially in pain states, like chronic and neuropathic pain, which respond poorly to opioids.

Acetates↗
PubMed2000

In vitro interaction of codeine and diclofenac.

There is very limited knowledge about possible pharmacokinetic interactions between opioid analgesics and nonsteroidal antiinflammatory drugs (NSAIDs), which are commonly used in combination for the treatment of chronic pain. The major metabolic pathway of the weak opioid codeine is glucuronidation to codeine-6-glucuronide. Therefore we investigated the influence of the NSAID diclofenac on the formation of codeine-6-glucuronide in vitro, using human liver tissue homogenate. The formation of codeine-6-glucuronide exhibited single enzyme Michaelis-Menten kinetics with an average V(max) of 93.6 +/- 35.3 pmol/mg/min. A noncompetitive inhibition of codeine-6-glucuronidation by diclofenac was observed with an average K(i) of 7.9 microM. These in vitro findings suggest that a pharmacokinetic interaction occurs in vivo, which has to be confirmed by an interaction study in human subjects. It can be speculated that in case of inhibition of glucuronidation, the amount of codeine available for other pathways especially O-demethylation to morphine is increased, resulting in higher morphine serum levels and therefore higher analgesic efficacy.

Aged↗
PubMed1999

Highly sensitive gas chromatographic-tandem mass spectrometric method for the determination of morphine and codeine in serum and urine in the femtomolar range.

A sensitive and specific method was developed for the determination of codeine and morphine in human serum and for the determination of trace amounts of endogenous morphine in human urine. The analytes were recovered from serum by a simple liquid-liquid extraction method. Urine samples were hydrolyzed, and purified by two liquid-liquid extraction steps and a solid-phase extraction. Samples were derivatized to the pentafluoropropionic esters and measured by gas chromatography tandem mass spectrometry. Using the deuterated analogues as internal standards a limit of quantification of 20 fmol/ml (5.7 pg/ml) morphine and 500 fmol/ml (150 pg/ml) codeine in human serum and of 2.5 fmol/ml (0.71 pg/ml) morphine in urine was achieved. The method was suitable for the determination of morphine and codeine in pharmacokinetic studies and for the determination of the urinary excretion of endogenous morphine.

Calibration↗
PubMed1999

Rapid, highly sensitive method for the determination of morphine and its metabolites in body fluids by liquid chromatography-mass spectrometry.

A rapid, highly sensitive method for the determination of morphine and its metabolites morphine-3-glucuronide (M3G), morphine-6-glucuronide (M6G) and normorphine has been developed using high-performance liquid chromatography-electrospray mass spectrometry, with the deuterated analogues as internal standards. The analytes were extracted automatically using end-capped C2 solid-phase extraction cartridges. Baseline separation of morphine, M3G and M6G was achieved on a LiChrospher 100 RP-18 end-capped analytical column (125x3 mm I.D., 5 microm particle size) with water-acetonitrile-tetrahydrofuran-formic acid (100:1:1:0.1, v/v) as the mobile phase. Morphine and normorphine coeluate and were separated mass spectrometrically. The mass spectrometer was operated in the selected-ion monitoring mode using m/z 272 for normorphine, m/z 286 for morphine, m/z 462 for morphine-6-glucuronide. Due to an interfering peak, M3G was measured by tandem mass spectrometry in the daughter-ion mode. The limits of quantitation achieved with this method were 1.3 pmol/ml for morphine, 1.5 pmol/ml for normorphine, 1.0 pmol/ml for M6G and 5.4 pmol/ml for M3G in serum or cerebrospinal fluid. The limits of quantitation achieved in urine were 10 pmol/ml for morphine, 20 pmol/ml for normorphine and M6G and 50 pmol/ml for M3G using a sample size of 100 microl. The method described was successfully applied to the determination of morphine and its metabolites in human serum, cerebrospinal fluid and urine in pharmacokinetic and drug interaction studies.

Body Fluids↗
PubMed1999

Pharmacokinetics of dihydrocodeine and its active metabolite after single and multiple oral dosing.

AIMS: The pharmacokinetics of dihydrocodeine (DHC) and its active metabolite dihydromorphine (DHM) were assessed after a single oral dose of DHC and after increasing doses of DHC at steady-state. Methods Twelve healthy male volunteers (18-45 years, CYP2D6 extensive metabolizers (EMs), MR<1 took a single oral dose (s.d.) of DHC 60 mg after breakfast. After 60 h DHC 60 mg was administered twice daily for 3 days, the dose was increased to 90 mg twice daily for 3 days, the final dose of 120 mg was administered twice daily for 3 days (multiple dose: m.d.). Blood sampling and urine collection: during 60 h after s.d. and during 12 h after m.d. Results No significant differences in the area under the curve (AUC) of both, DHC and DHM could be detected after a single oral dose of 60 mg DHC (AUC (0,infinity)) and during steady-state doses of 60 mg DHC (AUC(0,12 h)). During increasing steady-state doses of DHC, the data showed a dose linearity of AUC, maximal serum concentration (Cmax ) and minimal steady-state serum levels (Cssmin) of both, DHC and DHM (P<0.0001), point estimates of DHC dose corrected AUCs were well within the bioequivalence range (60 mg: 0.989; 90%CI 0.951-1. 028, 90 mg: 0.997; 90%CI 0.959-1.036, 120 mg: 0.977; 90%CI 0.940-1. 016). O-demethylation from DHC to DHM remained constant within the increasing steady-state doses of DHC in the 12 extensive metabolizers of CYP2D6. CONCLUSIONS: In the studied dose range (60-120 mg) the pharmacokinetics of DHC and its active metabolite DHM are linear in EMs of CYP2D6.

Administration, Oral↗
PubMed1999

Chronopharmacology of intravenous and oral modified release verapamil.

AIMS: Using a stable isotope technique which allows simultaneous and differential measuring of orally and intravenously administered drugs we compared the pharmacokinetics and pharmacodynamics of unlabelled modified release verapamil p.o. (steady state) and deuterated verapamil i.v. (single dose) following morning and evening administration. METHODS: Twelve female and 12 male healthy volunteers were studied in a randomized, crossover design. During the last day of each treatment period (day 6 and day 10) pharmacokinetics and pharmacodynamics (PR interval) of verapamil were assessed; 1 h before ingestion of a new R/S-verapamil 240 mg modified release formulation (08.00 h vs 20.00 h) a single dose of 10 mg d7-R/S-verapamil was administered intravenously. Serum levels of unlabelled and labelled R/S-verapamil were measured by gas chromatography/mass spectrometry. In selected samples of serum which were chosen at tmin,po and tmax,po the enantiomers were separated by chiral high-performance liquid chromatography in order to calculate R- to S-verapamil serum concentration ratios. RESULTS: We observed no significant differences in pharmacokinetics (AUCpo, Cmax, tmax, CLo, F and R/S enantiomer ratio) between morning and evening treatment with modified release verapamil and there was no influence of time of dosing on mean prolongation of PR interval. AUCiv, CL, Vss and d7-R/d7-S enantiomer ratio following verapamil i.v. did not show circadian variation. t1/2 was slightly but statistically significantly increased after the morning infusion. PR-prolongation was significantly greater after verapamil i.v. in the morning than in the evening. The 90% confidence intervals of the differences between morning and evening administration in AUCpo, Cmax and AUCiv were within the equivalence range of 0.8-1.25. CONCLUSIONS: Time of dosing has no significant influence on pharmacokinetics and pharmacodynamics of this new modified release formulation of verapamil. Circadian variation in presystemic metabolism of verapamil was not observed.

Administration, Oral↗
PubMed1999

Pharmacokinetics of morphine and its glucuronides following intravenous administration of morphine in patients undergoing continuous ambulatory peritoneal dialysis.

BACKGROUND: Conjugation with glucuronic acid represents the major route of biotransformation of morphine. The glucuronides morphine-3-glucuronide (M3G) and morphine-6-glucuronide (M6G) are eliminated via the kidneys. Therefore, chronic renal failure should affect the disposition of M3G and M6G. Numerous patients undergoing long-term continuous ambulatory peritoneal dialysis (CAPD) require pain treatment with morphine. There are only limited data available about the disposition of morphine and its active metabolites M6G and M3G in patients on CAPD. We therefore investigated the pharmacokinetics of morphine and its metabolites in CAPD patients. METHODS: This was a single intravenous dose pharmacokinetic study in 10 CAPD patients (1 female, 9 male, age 31-69 years). Morphine-hydrochloride (Mo) (10 mg) was administered intravenously. Serum, urine, and dialysate samples were collected during 24 h. GC-MS-MS and HPLC-MS methods were used to quantify respectively morphine and morphine glucuronides. RESULTS: While systemic clearance of morphine (1246+/-240 ml/min) was in the range observed in patients with normal kidney function, both M3G and M6G showed substantial accumulation. The area under the concentration-time curve (AUC) ratio of M3G:Mo (33.4+/-7.1) and of M6G:Mo (12.2+/-3.2) was 5.5 and 13.5 times higher than in patients with normal kidney function. Renal clearances of morphine, M3G, and M6G (morphine 3.0+/-2.5 ml/min; M3G 3.9+/-2.2 ml/min; M6G 3.6+/-2.2 ml/min) and dialysate clearances (morphine 4.1+/-1.3 ml/min; M3G 3.2+/-0.7 ml/min; M6G 3.0+/-0.8 ml/min) were extremely low. Therefore the accumulation of M6G and M3G is readily explained by kidney failure which is not compensated by CAPD. CONCLUSION: Accumulation of M3G and M6G is due to the substantially lowered clearance by residual renal function and peritoneal dialysis. In view of the accumulation of potential active metabolites, subsequent investigations have to assess the frequency of side-effects in patients on CAPD.

Adult↗
PubMed1999

Analysis of the CYP2D6 gene mutations and their consequences for enzyme function in a West African population.

The data on differences in the metabolic handling of the CYP2D6 probe drugs sparteine and debrisoquine, and the relationship between phenotype and genotype and gene frequencies for several mutant CYP2D6 alleles in African populations are limited and sometimes controversial. Therefore, in a West African population (Ghana), we investigated (i) the phenotype for sparteine debrisoquine by phenotyping 201 individuals with both drugs and (iii) the genotype for CYP2D6 (n = 326) and debrisoquine (n = 201) oxidation, (ii) the coregulatory control of sparteine and alleles *3 and *4 in 133 individuals and for the alleles *1, *2, *3, *4, *5, *6, *7, *8, *9, *10, *14, *16, *17, *2b, *2xN, *2bxN in 193 individuals. Of the 326 individuals phenotyped with sparteine, eight had a metabolic ratio (MR)sp > 20 corresponding to a poor metabolizer frequency of 2.5% [95% (confidence interval) CI = 1.06-4.77]. The prevalence of the poor metabolizer phenotype for debrisoquine oxidation was 3% (95% CI = 1.1-6.39) with six of the 201 individuals having a MR greater than 12.6. The distribution of the MR of sparteine was trimodal whereas MR of debrisoquine was unimodally distributed with a pronounced kurtosis. In individuals phenotyped with both drugs, there was a significant correlation between the MRs (r(s) = 0.63, P < 0.001). The CYP2D6 alleles *1, *2 and *17 were the most common functional alleles occurring with frequencies of 43.7, 10.6 and 27.7%, respectively. The three other observed functional alleles *2xN, *10 and *20 had much lower frequencies (1.6%, 3.1% and 0.3%, respectively). Of the eight non-functional alleles, only *4 (6.3%) and *5 (6.0%) could be found. The allele *5 occurred with the same frequency as in Caucasian populations (4.1%) but the *4 allele had a much lower frequency (Caucasians 19.5%). One individual with *1/*1 was a poor metabolizer for sparteine and debrisoquine indicating the existence of as yet unknown non-functional alleles in this West African population. Although the prevalence of poor metabolizers and the number of heterozygotes for non-functional alleles was much lower in Ghanaians, the median MRsp of 0.7 was significantly higher in this population compared with a median MRsp of 0.4 in Caucasians, indicating a lower metabolic clearance for CYP2D6 substrates in the West Africans. The lower metabolic activity in Ghanaians could not be explained solely by the high frequency of the *17 allele, which is associated with an impairment of CYP2D6 enzyme function. In addition, a higher median MRsp of 0.5 corresponding to metabolic clearance of 346 ml/min was observed among extensive metabolizers with the genotype *1/*1. Thus, compared with the median of MRsp = 0.28 (CLmet 573 ml/min) in Caucasians homozygous for *1, the metabolic clearance of sparteine was 40% lower on average in respective Ghanaians.

Adult↗
PubMed1998

Pharmacokinetics and the pharmacodynamic action of midazolam in young and elderly patients undergoing tooth extraction.

OBJECTIVE: To determine whether age-dependent pharmacokinetic and pharmacodynamic alterations account for a more pronounced response to benzodiazepines among elderly patients. METHODS: Twelve young patients and 10 elderly patients received an intravenous dose of 0.05 or 0.03 mg/kg midazolan, respectively, before third molar extraction. Postoperative pain was treated with 30 mg dihydrocodeine. Serum concentrations of midazolam and sedative effects were monitored with visual analog scales and choice reaction time measurements for 6 hours. Test values above baseline were integrated, and pharmacokinetic-pharmacodynamic analysis was performed. Heart rate, blood pressure, arterial oxygen saturation, and amnesia also were assessed. RESULTS: There were no significant age-dependent differences in disposition of midazolam between young and elderly patients (apparent volume of distribution, 1.3 +/- 0.2 versus 1.1 +/- 0.4 L/kg; halflife, 3.3 +/- 1.5 hours versus 3.7 +/- 2.2 hours; total body clearance, 451 +/- 186 ml/min versus 343 +/- 137 ml/min). However, higher values of area under the effect curve (AUEC) and AUEC divided by area under the serum concentration-time curve (AUC) (sensitivity index) were observed among the elderly as follows: AUEC for reaction time (AUECRT) (573 versus 261; p = 0.042), AUEC for visual analog scale (AUECVAS) (37.7 versus 14.4; p = 0.011), AUECRT/AUC (6.3 versus 1.8; p = 0.007), and AUECVAS/AUC (0.40 versus 0.11; p = 0.009) compared with the young group. Likewise, mean concentration at half-maximal effect for sedation was lower (p = 0.025) among older patients (20.5 +/- 2.2 ng/ml) than among younger (29.7 +/- 6.6 ng/ml) patients. Amnesia was observed among 86% of patients and oxygen saturation was always 95% or more of basal value. There were no age-related differences in concentration of dihydrocodeine and its active metabolite dihydromorphine, but dihydromorphone levels were much lower in there intermediate metabolizers (455 to 879 fmol/l) and especially in five poor metabolizers (65 to 498 fmol/L) than among extensive metabolizer of cytochrome p450 2D6 (1604 to 6490 fmol/L). CONCLUSION: Elderly patients are more sensitive to the sedative action of midazolam than young patients, and the sensitivity is caused by age-dependent pharmacodynamic alterations. The age-adjusted doses used are both effective (for sedative amnesia) and safe (in terms of arterial oxygen saturation, heart rate, and blood pressure.

Adolescent↗
PubMed1998

Same incidence of adverse drug events after codeine administration irrespective of the genetically determined differences in morphine formation.

The analgesic effect and adverse events of the weak opioid codeine is assumed to be mediated by its metabolite morphine. The cytochrome P-450 enzyme CYP2D6 catalysing the formation of morphine exhibits a genetic polymorphism. Two distinct phenotypes, the extensive (EMs) and poor metabolisers (PMs), are present in the population. The prevalence of PMs in the Caucasian population is 7% to 10%. Since PMs do not express functional CYP2D6, they have a severely impaired capacity to metabolise drugs which are substrates of this enzyme. Provided the analgesic effect and the adverse events of codeine are mediated by its metabolite morphine, large phenotype-related differences are to be expected and PMs, as they form only trace amounts of morphine, can serve as a model to test the hypothesis whether the analgesia and adverse events of codeine are mediated by the parent drug or its metabolite morphine. Therefore we have studied in a randomised placebo-controlled double-blind trial the analgesic effect of 170 mg codeine (p.o.) compared to 20 mg morphine (p.o.) and placebo in 9 EMs and 9 PMs using the cold pressor test. The duration and intensity of the side effects were assessed using visual analogue scales (VAS). Codeine and morphine concentrations were measured in serum and urine. Compared to placebo, 20 mg morphine caused a significant increase in pain tolerance in both phenotypes, EMs and PMs (16.2+/-27.4 vs. -0.66+/-27.4 s x h, n=18). However, following administration of codeine, analgesia was only observed in EMs but not in PMs (EMs: 54.9+/-42.2 vs. 1.7+/-4.2 s x h, P < 0.01; PMs: 9.6+/-10.9 vs. 3.3+/-23.7 s x h, not significant). Adverse events were significantly more pronounced after morphine and codeine compared to placebo in both EMs and PMs. In contrast to the phenotype-related differences in the analgesic effect of codeine, however, no difference in adverse events between the phenotypes could be observed. In the pharmacokinetic studies, significant differences between the two phenotypes in the formation of morphine after codeine administration could be observed. Whereas morphine plasma concentrations were similar in PMs (Cmax: 44+/-13 nmol/l: AUC: 199+/-45 nmol x h/l) and EMs (Cmax: 48+/-17 nmol/l); AUC: 210+/-65 nmol x h/l) after morphine administration, following 170 mg codeine, morphine plasma concentrations comparable to those after morphine application were only observed in EMs (Cmax: 38+/-16 nmol/l; AUC: 173+/-90 nmol x h/l). In PMs only traces of morphine could be detected in plasma (Cmax: 2+/-1 nmol/l; AUC: 10+/-7 nmol x h/l). The percentage of the codeine dose converted to morphine and its metabolites was 3.9% in EMs and 0.17% in PMs. The interindividual variability in analgesia of codeine which is related to genetically determined differences in the formation of morphine clearly indicate that this metabolite is responsible for the analgesic effect of codeine. In contrast to the analgesic effect, frequency and intensity of the adverse events did not present significant differences between the two phenotypes. These findings have implications for the clinical use of codeine. Since side effects occurred in both EM and PM subjects, the use of codeine as an analgesic will expose 7% to 10% of patients who are PMs to the side effects of the drug without providing any beneficial analgesic effects.

Adult↗