Decision-support tools to manage drug incompatibilities: evaluation by nurses

Introduction Preventing drug incompatibilities has a high impact onthe safety of drug therapy. Although there are no internationalguidelines to manage drug incompatibilities, different decision-supporttools such as handbooks, cross-tables and databases are available.In a previous study, two decision-support tools have been pre-selectedby pharmacists as fitting nurses' needs on the wards1. The objective ofthis study was to have these both tools evaluated by nurses todetermine which would be the most suitable for their daily practice.Materials & Methods Evaluated tools were:1. Cross-table of drug pairs (http://files.chuv.ch/internet-docs/pha/medicaments/pha_phatab_compatibilitessip.pdf)2. Colour-table (a colour for each drug according to the pH: red =acid; blue = basic; yellow = neutral; black = to be infused alone)2Tools were assessed by 48 nurses in 5 units (PICU, adult andgeriatric intensive care, surgery, onco-hematology) using a standardizedform1. The scientific accuracy of the tools was evaluated bydetermining the compatibility of five drugs pairs (rate of correctanswers according to the Trissel's Handbook on Injectable Drugs,chi-square test). Their ergonomics, design, reliability and applicabilitywere estimated using visual analogue scales (VAS 0-10; 0 =null, 10 = excellent). Results are expressed as the median and interquartilerange (IQR) for 25% and 75% (Wilcoxon rank sum test).Results The rate of correct answers was above 90% for both tools(cross-table 96.2% vs colour-table 92.5%, p[0.05).The ergonomics and the applicability were higher for the crosstable[7.1 (IQR25 4.0, IQR75 8.0) vs 5.0 (IQR25 2.7, IQR75 7.0), p =0.025 resp. 8.3 (IQR25 7.4, IQR75 9.2) vs 7.6 (IQR25 5.9, IQR75 8.8)p = 0.047].The design of the colour-table was judged better [4.6 (IQR25 2.9,IQR75 7.1) vs 7.1 (IQR25 5.4, IQR75 8.4) p = 0.002].No difference was observed in terms of reliability [7.3 (IQR25 6.5,IQR75 8.4) vs 6.7 (IQR25 5.0, IQR758.6) p[0.05].The cross-table was globally preferred by 65% of the nurses (27%colour-table, 8% undetermined) and 68% would like to have thisdecision-support tool available for their daily practice.Discussion & Conclusion Both tools showed the same accuracy toassess drug compatibility. In terms of ergonomics and applicabilitythe cross-table was better than the colour-table, and was preferred bythe nurses for their daily practice. The cross-table will be implementedin our hospital as decision-support tool to help nurses tomanage drug incompatibilities.

Exploring unfrequent events with accelerated molecular dynamics simulations: from photochemistry to drug design

La meva incorporació al grup de recerca del Prof. McCammon (University of California San Diego) en qualitat d’investigador post doctoral amb una beca Beatriu de Pinós, va tenir lloc el passat 1 de desembre de 2010; on vaig dur a terme les meves tasques de recerca fins al darrer 1 d’abril de 2012. El Prof. McCammon és un referent mundial en l’aplicació de simulacions de dinàmica molecular (MD) en sistemes biològics d’interès humà. La contribució més important del Prof. McCammon en la simulació de sistemes biològics és el desenvolupament del mètode de dinàmiques moleculars accelerades (AMD). Les simulacions MD convencionals, les quals estan limitades a l’escala de temps del nanosegon (~10-9s), no son adients per l’estudi de sistemes biològics rellevants a escales de temps mes llargues (μs, ms...). AMD permet explorar fenòmens moleculars poc freqüents però que son clau per l’enteniment de molts sistemes biològics; fenòmens que no podrien ser observats d’un altre manera. Durant la meva estada a la “University of California San Diego”, vaig treballar en diferent aplicacions de les simulacions AMD, incloent fotoquímica i disseny de fàrmacs per ordinador. Concretament, primer vaig desenvolupar amb èxit una combinació dels mètodes AMD i simulacions Car-Parrinello per millorar l’exploració de camins de desactivació (interseccions còniques) en reaccions químiques fotoactivades. En segon lloc, vaig aplicar tècniques estadístiques (Replica Exchange) amb AMD en la descripció d’interaccions proteïna-lligand. Finalment, vaig dur a terme un estudi de disseny de fàrmacs per ordinador en la proteïna-G Rho (involucrada en el desenvolupament de càncer humà) combinant anàlisis estructurals i simulacions AMD. Els projectes en els quals he participat han estat publicats (o estan encara en procés de revisió) en diferents revistes científiques, i han estat presentats en diferents congressos internacionals. La memòria inclosa a continuació conté més detalls de cada projecte esmentat.

Quantification of 4 antidepressants and a metabolite by LC-MS for therapeutic drug monitoring.

A liquid chromatography method coupled to mass spectrometry was developed for the quantification of bupropion, its metabolite hydroxy-bupropion, moclobemide, reboxetine and trazodone in human plasma. The validation of the analytical procedure was assessed according to Société Française des Sciences et Techniques Pharmaceutiques and the latest Food and Drug Administration guidelines. The sample preparation was performed with 0.5mL of plasma extracted on a cation-exchange solid phase 96-well plate. The separation was achieved in 14min on a C18 XBridge column (2.1mm×100mm, 3.5μm) using a 50mM ammonium acetate pH 9/acetonitrile mobile phase in gradient mode. The compounds of interest were analysed in the single ion monitoring mode on a single quadrupole mass spectrometer working in positive electrospray ionisation mode. Two ions were selected per molecule to increase the number of identification points and to avoid as much as possible any false positives. Since selectivity is always a critical point for routine therapeutic drug monitoring, more than sixty common comedications for the psychiatric population were tested. For each analyte, the analytical procedure was validated to cover the common range of concentrations measured in plasma samples: 1-400ng/mL for reboxetine and bupropion, 2-2000ng/mL for hydroxy-bupropion, moclobemide, and trazodone. For all investigated compounds, reliable performance in terms of accuracy, precision, trueness, recovery, selectivity and stability was obtained. One year after its implementation in a routine process, this method demonstrated a high robustness with accurate values over the wide concentration range commonly observed among a psychiatric population.

Quantification of typical antipsychotics in human plasma by ultra-high performance liquid chromatography tandem mass spectrometry for therapeutic drug monitoring.

A selective and sensitive method was developed for the simultaneous quantification of seven typical antipsychotic drugs (cis-chlorprothixene, flupentixol, haloperidol, levomepromazine, pipamperone, promazine and zuclopenthixol) in human plasma. Ultra-high performance liquid chromatography (UHPLC) was used for complete separation of the compounds in less than 4.5min on an Acquity UPLC BEH C18 column (2.1mm×50mm; 1.7μm), with a gradient elution of ammonium formate buffer pH 4.0 and acetonitrile at a flow rate of 400μl/min. Detection was performed on a tandem quadrupole mass spectrometer (MS/MS) equipped with an electrospray ionization interface. A simple protein precipitation procedure with acetonitrile was used for sample preparation. Thanks to the use of stable isotope-labeled internal standards for all analytes, internal standard-normalized matrix effects were in the range of 92-108%. The method was fully validated to cover large concentration ranges of 0.2-90ng/ml for haloperidol, 0.5-90ng/ml for flupentixol, 1-450ng/ml for levomepromazine, promazine and zuclopenthixol and 2-900ng/ml for cis-chlorprothixene and pipamperone. Trueness (89.1-114.8%), repeatability (1.8-9.9%), intermediate precision (1.9-16.3%) and accuracy profiles (<30%) were in accordance with the latest international recommendations. The method was successfully used in our laboratory for routine quantification of more than 500 patient plasma samples for therapeutic drug monitoring. To the best of our knowledge, this is the first UHPLC-MS/MS method for the quantification of the studied drugs with a sample preparation based on protein precipitation.

Governor's Office of Drug Control Policy, Notification Letter, July 25, 2005

State Audit Reports - Notification Letter

The differentiation of fibre- and drug type Cannabis seedlings by gas chromatography/mass spectrometry and chemometric tools

Cannabis cultivation in order to produce drugs is forbidden in Switzerland. Thus, law enforcement authorities regularly ask forensic laboratories to determinate cannabis plant's chemotype from seized material in order to ascertain that the plantation is legal or not. As required by the EU official analysis protocol the THC rate of cannabis is measured from the flowers at maturity. When laboratories are confronted to seedlings, they have to lead the plant to maturity, meaning a time consuming and costly procedure. This study investigated the discrimination of fibre type from drug type Cannabis seedlings by analysing the compounds found in their leaves and using chemometrics tools. 11 legal varieties allowed by the Swiss Federal Office for Agriculture and 13 illegal ones were greenhouse grown and analysed using a gas chromatograph interfaced with a mass spectrometer. Compounds that show high discrimination capabilities in the seedlings have been identified and a support vector machines (SVMs) analysis was used to classify the cannabis samples. The overall set of samples shows a classification rate above 99% with false positive rates less than 2%. This model allows then discrimination between fibre and drug type Cannabis at an early stage of growth. Therefore it is not necessary to wait plants' maturity to quantify their amount of THC in order to determine their chemotype. This procedure could be used for the control of legal (fibre type) and illegal (drug type) Cannabis production.

Transcriptional regulation of MDR1, a gene involved in antifungal drug resistance in Candida albicans

ABSTRACT Upregulation of the Major Facilitator transporter gene MDR1 (Multi_drug Resistance 1) is one of the mechanisms observed in Candida albicans clinical isolates developing resistance to azole antifungal agents. To better understand this phenomenon, the cis-acting regulatory elements present in a modulatable reporter system under the control of the MDR1 promoter were characterized. In an azole-susceptible strain, transcription of this reporter is transiently upregulated in response to either benomyl or H2O2, whereas its expression is constitutively high in an azole-resistant strain (FR2). Two cis-acting regulatory elements, that are necessary and sufficient to convey the same transcriptional responses to a heterologous promoter (CDR2), were identified within the MDR1promoter. The first element, called BRE (for Benomyl Response Element, -296 to -260 with respect to the ATG start codon), is required for benomyl-dependent MDR1 upregulation and for constitutive high expression of MDR1 in FR2. The second element, termed HRE (for H2O2 Response Element, -561 to -520), is required for H2O2-dependent MDR1 upregulation, but is dispensable for constitutive high expression. Two potential binding sites (TTAG/CTAA) for the blip transcription factor Cap1p lie within the HRE. Moreover, inactivation of CAP1 abolished the transient response to H2O2 and diminished significantly the transient response to benomyl. Cap1p, which has been previously implicated in cellular responses to oxidative stress, may thus play a transacting and positive regulatory role in benomyl- and H2O2-dependent transcription of MDR1. However, it is not the only transcription factor involved in the response of MDR1 to benomyl. A minimal BRE element (-290 to -273) that is sufficient to detect in vitro sequence-specific binding of protein complexes in crude extracts prepared from C. albicans was also delimited. Genome-wide transcript profiling analyses undertaken with a matched pair of clinical isolates, one of which being azole-resistant and upregulating MDR1, and with an azole-susceptible strain exposed to benomyl, revealed that genes specifically upregulated by benomyl harbour in their promoters Cap1p binding site(s). This strengthened the idea that Cap1p plays a role in benomyl-dependent upregulation of MDR1. BRE-like sequences were also identified in several genes co-regulated with MDR1 in both conditions, which was consistent with the involvement of the BRE in both processes. A set of 147 mutants lacking a single transcription factor gene was next screened for loss of MDR1response to benomyl. Unfortunately, none of the tested mutants showed a loss of benomyl-dependent MDR1 upregulation. Nevertheless, a significant diminution of the response was observed in the mutants in which the MADS-box transcription factor Mcm1p and the C2H2 zinc finger transcription factor orf19.13374p were inactivated, suggesting that Mcm1p and orf19.13374p are involved in MDR1response to benomyl. Interestingly, the BRE contains a perfect match to the binding consensus of Mcm1p, raising the possibility that MDR1may be a direct target of this transcriptional activator. In conclusion, while the identity of the trans-acting factors that bind to the BRE and HRE remains to be confirmed, the tools we have developed during characterization of the cis-acting elements of the MDR1promoter should now serve to elucidate the nature of the components that modulate its activity. RESUME La surexpression du gène MDR1 (pour Résistance Multidrogue 1), qui code pour un transporteur de la famille des Major Facilitators, est l'un des mécanismes observés dans les isolats cliniques de la levure Candida albicans développant une résistance aux agents antifongiques appelés azoles. Pour mieux comprendre ce phénomène, les éléments de régulation agissant en cis dans un système rapporteur modulable sous le contrôle du promoteur MDR1 ont été caractérisés. Dans une souche sensible aux azoles, la transcription de ce rapporteur est transitoirement surélevée en réponse soit au bénomyl soit à l'agent oxydant H2O2, alors que son expression est constitutivement élevée dans une souche résistante aux azoles (souche FR2). Deux éléments de régulation agissant en cis, nécessaires et suffisants pour transmettre les mêmes réponses transcriptionnelles à un promoteur hétérologue (CDR2), ont été identifiés dans le promoteur MDR1. Le premier élément, appelé BRE (pour Elément de Réponse au Bénomyl, de -296 à -260 par rapport au codon d'initiation ATG) est requis pour la surexpression de MDR1dépendante du bénomyl et pour l'expression constitutive de MDR1 dans FR2. Le deuxième élément, appelé HRE (pour Elément de Réponse à l'H2O2, de -561 à -520), est requis pour la surexpression de MDR1 dépendante de l'H2O2, mais n'est pas impliqué dans l'expression constitutive du gène MDR1. Deux sites de fixation potentiels (TTAG/CTAA) pour le facteur de transcription Cap1p ont été identifiés dans l'élément HRE. De plus, l'inactivation de CAP1 abolit la réponse transitoire à l'H2O2 et diminua significativement la réponse transitoire au bénomyl. Cap1p, qui est impliqué dans les réponses de la cellule au stress oxydatif, doit donc jouer un rôle positif en trans dans la surexpression de MDR1 dépendante du bénomyl et de l'H2O2. Cependant, ce n'est pas le seul facteur de transcription impliqué dans la réponse au bénomyl. Un élément BRE d'une longueur minimale (de -290 à -273) a également été défini et est suffisant pour détecter une interaction spécifique in vitro avec des protéines provenant d'extraits bruts de C. albicans. L'analyse du profil de transcription d'une paire d'isolats cliniques comprenant une souche résistante aux azoles surexprimant MDR1, et d'une souche sensible aux azoles exposée au bénomyl, a révélé que les gènes spécifiquement surexprimés par le bénomyl contiennent dans leurs promoteurs un ou plusieurs sites de fixation pour Cap1p. Ceci renforce l'idée que Cap1p joue un rôle dans la surexpression de MDR1dépendante du bénomyl. Une ou deux séquences ressemblant à l'élément BRE ont également été identifiées dans la plupart des gènes corégulés avec MDR1 dans ces deux conditions, ce qui était attendu compte-tenu du rôle joué par cet élément dans les deux processus. Une collection de 147 mutants dans lesquels un seul facteur de transcription est inactivé a été testée pour la perte de réponse au bénomyl de MDR1. Malheureusement, la surexpression de MDR1 dépendante du bénomyl n'a été perdue dans aucun des mutants testés. Néanmoins, une diminution significative de la réponse a été observée chez des mutants dans lesquels le facteur de transcription à MADS-box Mcm1p et le facteur de transcription à doigts de zinc de type C2H2 orf19.13374p ont été inactivés, suggérant que Mcm1p et orf19.13374p sont impliqués dans la réponse de MDR1au bénomyl. Il est intéressant de noter que la BRE contient une séquence qui s'aligne parfaitement avec la séquence consensus du site de fixation de Mcm1p, ce qui soulève la possibilité que MDR1 pourrait être une cible directe de cet activateur transcriptionnel. En conclusion, alors que l'identité des facteurs agissant en trans en se fixant à la BRE et à la HRE reste à être confirmée, les outils que nous avons développés au cours de la caractérisation des éléments agissant en cis sur le promoteur MDR1 peut maintenant servir à élucider la nature des composants modulant son activité.

Prescription des psychotropes au cabinet médical [Psychotropic drug prescription in general practice].

General practitioners treat patients with psychiatric disorders, for whom they have to evaluate the indication of a psychotropic medication. In addition to the patient's symptoms, the clinician has to take into account transferential and countertransferential elements linked to the prescription. Sociological factors also influence both the patient and the clinician, partly due to the western society's value of performance. Consistent with the bio-psycho-social model of disease, we recommend that the evaluation of the indication of a psychotropic medication includes the patient's symptoms, but also the psychological and sociological factors.

Profiles of drug users in Switzerland and effects of early-onset intensive use of alcohol, tobacco and cannabis on other illicit drug use.

QUESTIONS UNDER STUDY / PRINCIPLES: The main aim of this study was to investigate profiles of drug users, with a particular focus on illicit drugs other than cannabis, and to explore the effect of early-onset intensive use (drunkenness, daily smoking, high on cannabis) on profiles of illicit drug use. METHODS: Baseline data from a representative sample of 5,831 young Swiss men in the ongoing Cohort Study on Substance Use Risk Factors were used. Substance use (alcohol, tobacco, cannabis and 15 types of other illicit drug) and age of onset of intensive use were assessed. The Item Response Theory (IRT) and prevalence rates at different ages of onset were used to reveal different profiles of illicit drug use. RESULTS: In addition to cannabis, there were two profiles of other illicit drug use: (a) "softer" drug users (uppers, hallucinogens and inhaled drugs), among which ecstasy had the highest discriminatory potential (IRT slope = 4.68, standard error (SE) = 0.48; p <0.001); and (b) "harder" drug users (heroin, ketamine, gamma-hydroxybutyrate/gamma-hydroxylactone, research chemicals, crystal meth and spice), among which ketamine had the highest discriminatory potential (slope = 4.05; SE = 0.63; p <0.001). Onset of intensive use at the age of 12 years or younger also discriminated between these two profiles. CONCLUSION: Both the IRT model and the effect of onset of intensive use enabled two groups of illicit drugs to be identified. In particular, very early onset (at 12 years or younger) intensive use of any substance was a marker for later use of the second group of drugs.

Correlations between imatinib pharmacokinetics, pharmacodynamics, adherence, and clinical response in advanced metastatic gastrointestinal stromal tumor (GIST): An emerging role for drug blood level testing?

Imatinib is the standard of care for patients with advanced metastatic gastrointestinal stromal tumors (GIST), and is also approved for adjuvant treatment in patients at substantial risk of relapse. Studies have shown that maximizing benefit from imatinib depends on long-term administration at recommended doses. Pharmacokinetic (PK) and pharmacodynamic factors, adherence, and drug-drug interactions can affect exposure to imatinib and impact clinical outcomes. This article reviews the relevance of these factors to imatinib's clinical activity and response in the context of what has been demonstrated in chronic myelogenous leukemia (CML), and in light of new data correlating imatinib exposure to response in patients with GIST. Because of the wide inter-patient variability in drug exposure with imatinib in both CML and GIST, blood level testing (BLT) may play a role in investigating instances of suboptimal response, unusually severe toxicities, drug-drug interactions, and suspected non-adherence. Published clinical data in CML and in GIST were considered, including data from a PK substudy of the B2222 trial correlating imatinib blood levels with clinical responses in patients with GIST. Imatinib trough plasma levels <1100ng/mL were associated with lower rates of objective response and faster development of progressive disease in patients with GIST. These findings have been supported by other analyses correlating free imatinib (unbound) levels with response. These results suggest a future application for imatinib BLT in predicting and optimizing therapeutic response. Nevertheless, early estimates of threshold imatinib blood levels must be confirmed prospectively in future studies and elaborated for different patient subgroups.

Personalized modeling for drug concentration prediction using Support Vector Machine

Building a personalized model to describe the drug concentration inside the human body for each patient is highly important to the clinical practice and demanding to the modeling tools. Instead of using traditional explicit methods, in this paper we propose a machine learning approach to describe the relation between the drug concentration and patients' features. Machine learning has been largely applied to analyze data in various domains, but it is still new to personalized medicine, especially dose individualization. We focus mainly on the prediction of the drug concentrations as well as the analysis of different features' influence. Models are built based on Support Vector Machine and the prediction results are compared with the traditional analytical models.

Current drug discovery strategies against arenavirus infections.

Arenaviruses are a large group of emerging viruses including several causative agents of severe hemorrhagic fevers with high mortality in man. Considering the number of people affected and the currently limited therapeutic options, novel efficacious therapeutics against arenaviruses are urgently needed. Over the past decade, significant advances in knowledge about the basic virology of arenaviruses have been accompanied by the development of novel therapeutics targeting different steps of the arenaviral life cycle. High-throughput, small-molecule screens identified potent and broadly active inhibitors of arenavirus entry that were instrumental for the dissection of unique features of arenavirus fusion. Novel inhibitors of arenavirus replication have been successfully tested in animal models and hold promise for application in humans. Late in the arenavirus life cycle, the proteolytic processing of the arenavirus envelope glycoprotein precursor and cellular factors critically involved virion assembly and budding provide further promising 'druggable' targets for novel therapeutics to combat human arenavirus infection.

Prediction of infant drug exposure through breastfeeding: population PK modeling and simulation of fluoxetine

BACKGROUND: Risks of significant infant drug exposurethrough breastmilk are poorly defined for many drugs, and largescalepopulation data are lacking. We used population pharmacokinetics(PK) modeling to predict fluoxetine exposure levels ofinfants via mother's milk in a simulated population of 1000 motherinfantpairs.METHODS: Using our original data on fluoxetine PK of 25breastfeeding women, a population PK model was developed withNONMEM and parameters, including milk concentrations, wereestimated. An exponential distribution model was used to account forindividual variation. Simulation random and distribution-constrainedassignment of doses, dosing time, feeding intervals and milk volumewas conducted to generate 1000 mother-infant pairs with characteristicssuch as the steady-state serum concentrations (Css) and infantdose relative to the maternal weight-adjusted dose (relative infantdose: RID). Full bioavailability and a conservative point estimate of1-month-old infant CYP2D6 activity to be 20% of the adult value(adjusted by weigth) according to a recent study, were assumed forinfant Css calculations.RESULTS: A linear 2-compartment model was selected as thebest model. Derived parameters, including milk-to-plasma ratios(mean: 0.66; SD: 0.34; range, 0 - 1.1) were consistent with the valuesreported in the literature. The estimated RID was below 10% in >95%of infants. The model predicted median infant-mother Css ratio was0.096 (range 0.035 - 0.25); literature reported mean was 0.07 (range0-0.59). Moreover, the predicted incidence of infant-mother Css ratioof >0.2 was less than 1%.CONCLUSION: Our in silico model prediction is consistent withclinical observations, suggesting that substantial systemic fluoxetineexposure in infants through human milk is rare, but further analysisshould include active metabolites. Our approach may be valid forother drugs. [supported by CIHR and Swiss National Science Foundation(SNSF)]