Association between nonmedical prescription drug use and health status among young swiss men.

PURPOSE: To examine the relationship between the nonmedical prescription drug use (NMPDU) of six drug classes and health. METHODS: Data on young adults males (mean age, 19.96 years) from the baseline and follow-up of the Cohort Study on Substance Use Risk Factors (C-SURF) were used (n = 4,958). Two sets of logistic regression models were fitted to examine the associations between NMPDU of opioid analgesics, sedatives or sleeping pills, anxiolytics, antidepressants, beta blockers and stimulants, and health status (assessed using the Medical Outcomes Study 12-Item Short Form Survey Instrument [SF-12 v2]). We first computed odds ratios between NMPDU at baseline and poor mental and physical health at follow-up, adjusting for poor mental or physical health at baseline. We then computed odds ratios between poor mental and physical health at baseline and NMPDU at follow-up, adjusting for NMPDU at baseline. RESULTS: Three key findings regarding mental health were (1) there was a reciprocal risk between poor mental health and sedatives and anxiolytics; (2) poor mental health increased NMPDU of opioid analgesics and antidepressants but not vice versa; and (3) there were no associations with stimulants. Three key findings regarding physical health were (1) poor physical health increased the risk of NMPDU of anxiolytics; (2) the only reciprocal risk was between physical health and NMPDU of opioid analgesics; and (3) there were no associations with stimulants. CONCLUSION: These results, among the first ever on reciprocal effects between NMPDU and mental and physical health status, give unique information concerning the adverse effects of NMPDU on health and vice versa. The study shows that NMPDU is not only a sign of self-medication but may induce health problems.

Lipophilicity and its relationship with passive drug permeation.

In this review, we first summarize the structure and properties of biological membranes and the routes of passive drug transfer through physiological barriers. Lipophilicity is then introduced in terms of the intermolecular interactions it encodes. Finally, lipophilicity indices from isotropic solvent systems and from anisotropic membrane-like systems are discussed for their capacity to predict passive drug permeation across biological membranes such as the intestinal epithelium, the blood-brain barrier (BBB) or the skin. The broad evidence presented here shows that beyond the predictive power of lipophilicity parameters, the various intermolecular forces they encode allow a mechanistic interpretation of passive drug permeation.

Unlicensed and off-label drug use in a Swiss paediatric university hospital.

BACKGROUND: Many medicines used in newborns, infants, children and adolescents are not licensed ("unlicensed") or are prescribed outside the terms of the marketing authorization ("off-label"). Several studies have shown that this is a common practice in various healthcare settings in the USA, Europe and Australia, but data are scarce in Switzerland. OBJECTIVES: The aim of our prospective study was to determine the proportion of unlicensed or off-label prescriptions in paediatric patients. METHODS: This pilot study was conducted prospectively over a six month period in the department of paediatrics of a university hospital. RESULTS: Sixty patients aged from three days to 14 years were included in the study. A total of 483 prescriptions were written for the patients. More than half of all prescriptions (247; 51%) followed the terms of the marketing authorization. 114 (24%) were unlicensed and 122 (25%) off-label. All patients received at least one unlicensed or offlabel medicine. CONCLUSION: The use of unlicensed or off-label medicines to treat children was found to be common. Co-operation between the pharmaceutical industry, national regulatory authorities, clinical researchers, healthcare professionals and parents is required in order to ensure that children do not remain "therapeutic orphans".

Improvement of therapeutic drug monitoring of imatinib by Bayesian prediction of trough levels. Personalized drug dosage

Aims: Plasma concentrations of imatinib differ largely between patients despite same dosage, owing to large inter-individual variability in pharmacokinetic (PK) parameters. As the drug concentration at the end of the dosage interval (Cmin) correlates with treatment response and tolerability, monitoring of Cmin is suggested for therapeutic drug monitoring (TDM) of imatinib. Due to logistic difficulties, random sampling during the dosage interval is however often performed in clinical practice, thus rendering the respective results not informative regarding Cmin values.Objectives: (I) To extrapolate randomly measured imatinib concentrations to more informative Cmin using classical Bayesian forecasting. (II) To extend the classical Bayesian method to account for correlation between PK parameters. (III) To evaluate the predictive performance of both methods.Methods: 31 paired blood samples (random and trough levels) were obtained from 19 cancer patients under imatinib. Two Bayesian maximum a posteriori (MAP) methods were implemented: (A) a classical method ignoring correlation between PK parameters, and (B) an extended one accounting for correlation. Both methods were applied to estimate individual PK parameters, conditional on random observations and covariate-adjusted priors from a population PK model. The PK parameter estimates were used to calculate trough levels. Relative prediction errors (PE) were analyzed to evaluate accuracy (one-sample t-test) and to compare precision between the methods (F-test to compare variances).Results: Both Bayesian MAP methods allowed non-biased predictions of individual Cmin compared to observations: (A) - 7% mean PE (CI95% - 18 to 4 %, p = 0.15) and (B) - 4% mean PE (CI95% - 18 to 10 %, p = 0.69). Relative standard deviations of actual observations from predictions were 22% (A) and 30% (B), i.e. comparable to the intraindividual variability reported. Precision was not improved by taking into account correlation between PK parameters (p = 0.22).Conclusion: Clinical interpretation of randomly measured imatinib concentrations can be assisted by Bayesian extrapolation to maximum likelihood Cmin. Classical Bayesian estimation can be applied for TDM without the need to include correlation between PK parameters. Both methods could be adapted in the future to evaluate other individual pharmacokinetic measures correlated to clinical outcomes, such as area under the curve(AUC).

Dispositifs de délivrance de principes actifs pour des applications ophtalmologiques [Drug delivery systems for intraocular applications].

Numerous drug delivery systems (DDSs) can be used as intraocular tools to provide a sustained and calibrated release for a specific drug. Great progress has been made on the design, biocompatibility, bioavailability, and efficacy of DDSs. Although several of them are undergoing clinical trials, a few are already on the market and could be of a routine use in clinical practice. Moreover, miniaturization of the implants makes them less and less traumatic for the eye tissues and some DDSs are now able to target certain cells or tissues specifically. An overview of ocular implants with therapeutic application potentials is provided.

Prévention du sida chez les toxicomanes en Suisse: une évolution encourageante. [Prevention of AIDS in drug addicts in Switzerland: an encouraging development].

Switzerland has adopted a prevention strategy including the promotion of non-sharing injection material and use of condoms. The access to sterile equipment has been made easier, but regional differences still exist. Studies conducted between 1989 and 1992 among drug users in different Swiss regions are reviewed in order to examine if progress in prevention occurred. Syringe sharing diminished everywhere, but rather high sharing rates persist where sterile material is less accessible. Condom use increased, but the situation is still unsatisfactory considering the high HIV prevalence among i.v. drug users. Where several surveys have been conducted consecutively, a stabilization of HIV prevalence was observed. This suggests a slowing down of the progression of the epidemic among drug users. These results, obtained in few years, are encouraging in the light of the pessimism which prevailed at the beginning of the epidemic about the ability of drug users to adopt preventive behaviour.

Effects of antiresorptive agents on bone micro-architecture assessed by Trabecular Bone Score in women age 50 and older. The Manitoba Prospective Study

Antiresorptive agents such as bisphosphonates induce a rapid increase of BMD during the 1st year of treatment and a partial maintenance of bone architecture. Trabecular Bone Score (TBS), a new grey-level texture measurement that can be extracted from the DXA image, correlates with 3D parameters of bone micro-architecture. Aim: To evaluate the longitudinal effect of antiresorptive agents on spine BMD and on site-matched spine microarchitecture as assessed by TBS. Methods: From the BMD database for Province of Manitoba, Canada, we selected women age >50 with paired baseline and follow up spine DXA examinations who had not received any prior HRT or other antiresorptive drug.Women were divided in two subgroups: (1) those not receiving any HRT or antiresorptive drug during follow up (=non-users) and (2) those receiving non-HRT antiresorptive drug during follow up (=users) with high adherence (medication possession ratio >75%) from a provincial pharmacy database system. Lumbar spine TBS was derived by the Bone Disease Unit, University of Lausanne, for each spine DXA examination using anonymized files (blinded from clinical parameters and outcomes). Effects of antiresorptive treatment for users and non-users on TBS and BMD at baseline and during mean 3.7 years follow-up were compared. Results were expressed % change per year. Results: 1150 non-users and 534 users met the inclusion criteria. At baseline, users and non-users had a mean age and BMI of [62.2±7.9 vs 66.1±8.0 years] and [26.3±4.7 vs 24.7±4.0 kg/m²] respectively. Antiresorptive drugs received by users were bisphosphonates (86%), raloxifene (10%) and calcitonin (4%). Significant differences in BMD change and TBS change were seen between users and nonusers during follow-up (p<0.0001). Significant decreases in mean BMD and TBS (−0.36± 0.05% per year; −0.31±0.06% per year) were seen for non-users compared with baseline (p<0.001). A significant increase in mean BMD was seen for users compared with baseline (+1.86±0.0% per year, p<0.0018). TBS of users also increased compared with baseline (+0.20±0.08% per year, p<0.001), but more slowly than BMD. Conclusion: We observed a significant increase in spine BMD and a positive maintenance of bone micro-architecture from TBS with antiresorptive treatment, whereas the treatment naïve group lost both density and micro-architecture. TBS seems to be responsive to treatment and could be suitable for monitoring micro-architecture. This article is part of a Special Issue entitled ECTS 2011. Disclosure of interest: M.-A. Krieg: None declared, A. Goertzen: None declared, W. Leslie: None declared, D. Hans Consulting fees from Medimaps.

Therapeutic drug monitoring and pharmacogenetic tests as tools in pharmacovigilance.

Therapeutic drug monitoring (TDM) and pharmacogenetic tests play a major role in minimising adverse drug reactions and enhancing optimal therapeutic response. The response to medication varies greatly between individuals, according to genetic constitution, age, sex, co-morbidities, environmental factors including diet and lifestyle (e.g. smoking and alcohol intake), and drug-related factors such as pharmacokinetic or pharmacodynamic drug-drug interactions. Most adverse drug reactions are type A reactions, i.e. plasma-level dependent, and represent one of the major causes of hospitalisation, in some cases leading to death. However, they may be avoidable to some extent if pharmacokinetic and pharmacogenetic factors are taken into consideration. This article provides a review of the literature and describes how to apply and interpret TDM and certain pharmacogenetic tests and is illustrated by case reports. An algorithm on the use of TDM and pharmacogenetic tests to help characterise adverse drug reactions is also presented. Although, in the scientific community, differences in drug response are increasingly recognised, there is an urgent need to translate this knowledge into clinical recommendations. Databases on drug-drug interactions and the impact of pharmacogenetic polymorphisms and adverse drug reaction information systems will be helpful to guide clinicians in individualised treatment choices.