Illicit drug profiling, reflection on statistical comparisons

This paper presents reflexions about statistical considerations on illicit drug profiling and more specifically about the calculation of threshold for determining of the seizure are linked or not. The specific case of heroin and cocaine profiling is presented with the necessary details on the target profiling variables (major alkaloids) selected and the analytical method used. Statistical approach to compare illicit drug seizures is also presented with the introduction of different scenarios dealing with different data pre-treatment or transformation of variables.The main aim consists to demonstrate the influence of data pre-treatment on the statistical outputs. A thorough study of the evolution of the true positive rate (TP) and the false positive rate (FP) in heroin and cocaine comparison is then proposed to investigate this specific topic and to demonstrate that there is no universal approach available and that the calculations have to be revaluate for each new specific application.

Antimalarial drug susceptibility testing of Plasmodium falciparum in Brazil using a radioisotope method

From March 1996 to August 1997, a study was carried out in a malaria endemic area of the Brazilian Amazon region. In vivo sensitivity evaluation to antimalarial drugs was performed in 129 patients. Blood samples (0.5 ml) were drawn from each patient and cryopreserved to proceed to in vitro studies. In vitro sensitivity evaluation performed using a radioisotope method was carried out with the cryopreserved samples from September to December 1997. Thirty-one samples were tested for chloroquine, mefloquine, halofantrine, quinine, arteether and atovaquone. Resistance was evidenced in 96.6% (29/30) of the samples tested for chloroquine, 3.3% (1/30) for quinine, none (0/30) for mefloquine and none for halofantrine (0/30). Overall low sensitivity was evidenced in 10% of the samples tested for quinine, 22.5% tested for halofantrine and in 20% tested for mefloquine. Means of IC 50 values were 132.2 (SD: 46.5) ng/ml for chloroquine, 130.6 (SD: 49.6) ng/ml for quinine, 3.4 (SD: 1.3) ng/ml for mefloquine, 0.7 (SD: 0.3) ng/ml for halofantrine, 1 (SD: 0.6) ng/ml for arteether and 0.4 (SD: 0.2) ng/ml for atovaquone. Means of chloroquine IC 50 of the tested samples were comparable to that of the chloroquine-resistant strain W2 (137.57 ng/ml) and nearly nine times higher than that of the chloroquine-sensitive strain D6 (15.09 ng/ml). Means of quinine IC 50 of the tested samples were 1.7 times higher than that of the low sensitivity strain W2 (74.84 ng/ml) and nearly five times higher than that of the quinine-sensitive strain D6 (27.53 ng/ml). These results disclose in vitro high resistance levels to chloroquine, low sensitivity to quinine and evidence of decreasing sensitivity to mefloquine and halofantrine in the area under evaluation.

Zeitpunkt der Medikamenten-einnahme bei Hypertonie und Angina pectoris. Eine kontrollierte Uberwachungsstudie. [Time of drug intake in hypertension and angina pectoris. A controlled monitoring study]

A prospective cross-over study was performed in a general practice environment to assess and compare compliance data obtained by electronic monitoring on a BID or QD regimen in 113 patients with hypertension or angina pectoris. All patients were on a BID regimen (nifedipine SR) during the first month and switched to QD regimen (amlodipine) for another month. Taking compliance (i.e. the proportion of days with correct dosing) improved in 30% of patients (95% confidence interval 19 to 41%, p < 0.001), when switching from a BID to a QD regimen, but at the same time there was a 15% increase (95% confidence interval 5 to 25%, p < 0.02) in the number of patients with one or more no-dosing days. About 8% of patients had a low compliance rate, irrespective of the dosage regimen. Actual dosage intervals were used to estimate extent and timing of periods with unsatisfactory drug activity for various hypothetical drug durations of action, and it appears that the apparent advantage of QD regimen in terms of compliance is clinically meaningful only, when the duration of activity extents beyond the dosage interval in all patients.

Genetic diversity and genetic exchange in Trypanosoma cruzi: dual drug-resistant "progeny" from episomal transformants

Extensive characterisation of Trypanosoma cruzi by isoenzyme phenotypes has separated the species into three principal zymodeme groups, Z1, Z2 and Z3, and into many individual zymodemes. There is marked diversity within Z2. A strong correlation has been demonstrated between the strain clusters determined by isoenzymes and those obtained using random amplified polymorphic DNA (RAPD) profiles. Polymorphisms in ribosomal RNA genes, in mini-exon genes, and microsatellite fingerprinting indicate the presence of at least two principal T. cruzi genetic lineages. Lineage 1 appears to correspond with Z2 and lineage 2 with Z1. Z1 (lineage 2) is associated with Didelphis. Z2 (lineage 1) may be associated with a primate host. Departures from Hardy-Weinberg equilibrium and linkage disequilibrium indicate that propagation of T. cruzi is predominantly clonal. Nevertheless, two studies show putative homozygotes and heterozygotes circulating sympatrically: the allozyme frequencies for phosphoglucomutase, and hybrid RAPD profiles suggest that genetic exchange may be a current phenomenon in some T. cruzi transmission cycles. We were able to isolate dual drug-resistant T. cruzi biological clones following copassage of putative parents carrying single episomal drug-resistant markers. A multiplex PCR confirmed that dual drug-resistant clones carried both episomal plasmids. Preliminary karyotype analysis suggests that recombination may not be confined to the extranuclear genome.

Drug Alerts 2011 to 2012

PAS Alerts 2011 to 2012

Flow cytometry as a tool to identify Mycobacterium tuberculosis interaction with the immune system and drug susceptibility

Flow cytometric analysis is a useful and widely employed tool to identify immunological alterations caused by different microorganisms, including Mycobacterium tuberculosis. However, this tool can be used for several others analysis. We will discuss some applications for flow cytometry to the study of M. tuberculosis, mainly on cell surface antigens, mycobacterial secreted proteins, their interaction with the immune system using inflammatory cells recovered from peripheral blood, alveolar and pleura spaces and the influence of M. tuberculosis on apoptosis, and finally the rapid determination of drug susceptibility. All of these examples highlight the usefulness of flow cytometry in the study of M. tuber-culosis infection.

Drug Tariff

Health and Personal Social Services for Northern Ireland Drug Tariff

Drug Alerts 2007-2008

2007-2008

Drug Alerts 2009-2010

2009-2010

Pre release Access list Bulletin 5 Drug Prevalence Survey (MS Word 31KB)

Pre Release Access list for Bulletin 5 Drug Prevalence Survey 2006/07

Stage of change of cigarette smoking in drug dependent patients

Résumé En Suisse, les programmes de désaccoutumance au tabac se réfèrent généralement au modèle de préparation au changement de Prochaska et DiClemente (1983), Les patients atteints de maladies somatiques liées au tabagisme comme les pathologies cardiovasculaires ou pulmonaires accèdent facilement à ces programmes, contrairement aux patients présentant une dépendance à des drogues illicites. La prévalence de fumeurs dans cette population est pourtant élevée et les problèmes engendrés par le tabac sont importants, non seulement d'un point de vue individuel mais aussi en terme de santé publique. Il est par conséquent intéressant d'évaluer la motivation concernant la désaccoutumance au tabac de patients toxicomanes entreprenant un sevrage de drogues illicites. Dans cette étude, nous avons évalué les stades de préparation au changement concernant la dépendance au tabac chez 100 patients toxicomanes hospitalisés sur un mode volontaire dans le cadre d'un programme de sevrage à des drogues illégales. L'évaluation s'est faite à l'aide d'un auto-questionnaire dont les résultats indiquent qu'une minorité de patients sont décidés à interrompre la consommation de tabac. En effet, seul 15% des patients se trouvaient aux stades de contemplation ou de décision. De plus, 93% des sujets considéraient l'arrêt du tabac comme difficile ou très difficile. Ces données montrent qu'il existe un décalage important entre la motivation relative au sevrage de drogues illégales et la motivation liées à l'arrêt du tabac. En effet, malgré leur motivation élevée pour se sevrer de drogues illicites, la proportion de patients restant au stade de précontemplation concernant la désaccoutumance au tabac reste élevée. Diverses hypothèses permettent d'expliquer ces résultats, notamment la perception que la désaccoutumance au tabac est plus difficile à réaliser que le sevrage de substances illicites. Abstract Nicotine cessation programmes in Switzerland, which are commonly based on the stage of change model of Prochaska and DiClemente (1983), are rarely offered to patients with illicit drug dependence. This stands in contrast to the high smoking rates and the heavy burden of tobacco-related problems in these patients. The stage of change was therefore assessed by self-administered questionnaire in 100 inpatients attending an illegal drug withdrawal programme. Only 15% of the patients were in the contemplation or decision stage. 93% considered smoking cessation to be difficult or very difficult. These data show a discrepancy between the motivation to change illegal drug consumption habits and the motivation for smoking cessation. The high pro-portion of patients remaining in the precontemplation stage for smoking cessation, in spite of their motivation for illicit drug detoxification, may be due to the perception that cessation of smoking is more difficult than illicit drug abuse cessation.

A modular approach for integrative analysis of large-scale gene-expression and drug-response data

High-throughput technologies are now used to generate more than one type of data from the same biological samples. To properly integrate such data, we propose using co-modules, which describe coherent patterns across paired data sets, and conceive several modular methods for their identification. We first test these methods using in silico data, demonstrating that the integrative scheme of our Ping-Pong Algorithm uncovers drug-gene associations more accurately when considering noisy or complex data. Second, we provide an extensive comparative study using the gene-expression and drug-response data from the NCI-60 cell lines. Using information from the DrugBank and the Connectivity Map databases we show that the Ping-Pong Algorithm predicts drug-gene associations significantly better than other methods. Co-modules provide insights into possible mechanisms of action for a wide range of drugs and suggest new targets for therapy