Benchmarking therapeutic drug monitoring software: A systematic evaluation of available computer tools

Introduction: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on measurement of blood concentrations. Maintaining concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. In the last decades computer programs have been developed to assist clinicians in this assignment. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Method: Literature and Internet search was performed to identify software. All programs were tested on common personal computer. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software's characteristics. Numbers of drugs handled vary widely and 8 programs offer the ability to the user to add its own drug model. 10 computer programs are able to compute Bayesian dosage adaptation based on a blood concentration (a posteriori adjustment) while 9 are also able to suggest a priori dosage regimen (prior to any blood concentration measurement), based on individual patient covariates, such as age, gender, weight. Among those applying Bayesian analysis, one uses the non-parametric approach. The top 2 software emerging from this benchmark are MwPharm and TCIWorks. Other programs evaluated have also a good potential but are less sophisticated (e.g. in terms of storage or report generation) or less user-friendly.¦Conclusion: Whereas 2 integrated programs are at the top of the ranked listed, such complex tools would possibly not fit all institutions, and each software tool must be regarded with respect to individual needs of hospitals or clinicians. Interest in computing tool to support therapeutic monitoring is still growing. Although developers put efforts into it the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capacity of data storage and report generation.

Preimplantation genetic diagnosis (PGD) for HLA typing: bases for setting up an open international collaboration when PGD is not available.

In severe forms of Diamond-Blackfan anemia, preimplantation genetic diagnosis (PGD) of histocompatibility leukocyte antigen-compatible embryos for enabling the next sibling in the family to be a stem-cell transplantation donor constitutes the sole lasting cure capable of terminating the enduring need for iterative transfusions. We report here an open collaboration between two renowned institutions to provide a family desiring this treatment even though they resided where the preimplantation genetic diagnosis procedure is banned.

Benchmarking therapeutic drug monitoring software: A systematic evaluation of available computer tools

Objectives: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on blood concentrations measurement. Maintaining concentrations within a target range requires pharmacokinetic (PK) and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Methods: Literature and Internet were searched to identify software. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software characteristics. Numbers of drugs handled vary from 2 to more than 180, and integration of different population types is available for some programs. Nevertheless, 8 programs offer the ability to add new drug models based on population PK data. 10 computer tools incorporate Bayesian computation to predict dosage regimen (individual parameters are calculated based on population PK models). All of them are able to compute Bayesian a posteriori dosage adaptation based on a blood concentration while 9 are also able to suggest a priori dosage regimen, only based on individual patient covariates. Among those applying Bayesian analysis, MM-USC*PACK uses a non-parametric approach. The top 2 programs emerging from this benchmark are MwPharm and TCIWorks. Others programs evaluated have also a good potential but are less sophisticated or less user-friendly.¦Conclusions: Whereas 2 software packages are ranked at the top of the list, such complex tools would possibly not fit all institutions, and each program must be regarded with respect to individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Although interest in TDM tools is growing and efforts were put into it in the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capability of data storage and automated report generation.

Validation de la mesure de l'oedème postopératoire par bioimpédance chez les patients opérés d'une prothèse totale du genou : une expérience de collaboration entre physiothérapeutes et ingénieurs

Fondements : La recherche sur l'oedème postopératoire consécutif à la chirurgie prothétique du genou est peu développée, notamment en raison de l'absence d'une méthode de mesure adaptée. Une collaboration entre physiothérapeutes et ingénieurs a permis de développer et valider une méthode de mesure innovante et facilement applicable. Les physiothérapeutes ont identifié un besoin clinique, les ingénieurs ont apporté leur savoir technologique, et l'équipe a conjointement élaboré le protocole de mesure et effectué l'étude de validation. Introduction : La bioimpédance est fréquemment utilisée pour évaluer l'oedème par l'analyse d'un signal électrique passant au travers du corps, en extrapolant la résistance théorique à une fréquence égale à zéro (R0). La mesure s'avère fiable et rapide, mais n'a jamais été appliquée et validée pour l'évaluation de l'oedème en chirurgie orthopédique. Objectif : L'objectif de l'étude est de valider la mesure de l'oedème du membre inférieur par bioimpédance, chez des patients ayant bénéficié d'une prothèse totale de genou (PTG). Questionnement : Après nous être assurés de l'absence d'influence de l'implant métallique de la PTG sur la mesure, nous nous questionnions sur la validité et la fiabilité des mesures de bioimpédance dans ce contexte. Méthodes : Deux évaluateurs ont mesuré à tour de rôle et à deux reprises successives l'oedème chez 24 patients opérés d'une PTG, à trois temps différents (préopératoire, J+2, J+8). L'oedème a été évalué par bioimpédance (R0) et par conversion en volume de mesures centimétriques du membre inférieur (MI). Nous avons calculé le ratio moyen des MI pour chaque méthode. Nous avons évalué la reproductibilité intra- et inter-observateurs de la bioimpédance (coefficient de corrélation intraclasse, CCI) et la corrélation entre méthodes (Spearman). Résultats : Le ratio moyen opéré/sain du volume des MI est de 1.04 (SD ± 0.06) en préopératoire, 1.18 (SD ± 0.09) à J+2 et 1.17 (SD ± 0.10) à J+8. Le ratio sain/opéré des MI de R0 est de 1.04 (SD ± 0.07) en préopératoire, 1.51 (SD ± 0.22) à J+2 et 1.65 (SD ± 0.21) à J+8. En préopératoire, à J+2 et J+8, les CCI tous supérieurs à 0.95 pour la reproductibilité intra- et inter-observateurs de la bioimpédance. La corrélation entre méthodes est de 0.71 en préopératoire, 0.61 à J2 et 0.33 à J8. Analyse et conclusion : La variation du ratio des MI entre les temps préopératoire, J+2 et J+8 est plus marquée pour R0. La mesure de bioimpédance bénéficie d'une excellente reproductibilité intra- et inter-observateurs. L'évolution dans le temps de la corrélation entre méthodes peut être expliquée par l'influence potentielle de facteurs confondants sur R0 (modification de la composition liquidienne) et par l'influence de l'atrophie musculaire postopératoire sur la mesure de volume. La collaboration physiothérapeutes-ingénieurs a permis le développement et l'évaluation d'une nouvelle méthode de mesure.

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Integration of social and employment policies has been a highly topical issue over past decades in Europe. Faced with the complex task of facilitating the return to employment of jobless people with multiple barriers to work, several countries have developed integrated structures for delivering labour market and social support.'One stop-shops','integrated jobcenters' and 'interagency collaboration'are some of the tools that are being developed in this context (Askim et al, 2011).

Current features of infective endocarditis in elderly patients: results of the International Collaboration on Endocarditis Prospective Cohort Study.

BACKGROUND: Elderly patients are emerging as a population at high risk for infective endocarditis (IE). However, adequately sized prospective studies on the features of IE in elderly patients are lacking. METHODS: In this multinational, prospective, observational cohort study within the International Collaboration on Endocarditis, 2759 consecutive patients were enrolled from June 15, 2000, to December 1, 2005; 1056 patients with IE 65 years or older were compared with 1703 patients younger than 65 years. Risk factors, predisposing conditions, origin, clinical features, course, and outcome of IE were comprehensively analyzed. RESULTS: Elderly patients reported more frequently a hospitalization or an invasive procedure before IE onset. Diabetes mellitus and genitourinary and gastrointestinal cancer were the major predisposing conditions. Blood culture yield was higher among elderly patients with IE. The leading causative organism was Staphylococcus aureus, with a higher rate of methicillin resistance. Streptococcus bovis and enterococci were also significantly more prevalent. The clinical presentation of elderly patients with IE was remarkable for lower rates of embolism, immune-mediated phenomena, or septic complications. At both echocardiography and surgery, fewer vegetations and more abscesses were found, and the gain in the diagnostic yield of transesophageal echocardiography was significantly larger. Significantly fewer elderly patients underwent cardiac surgery (38.9% vs 53.5%; P < .001). Elderly patients with IE showed a higher rate of in-hospital death (24.9% vs 12.8%; P < .001), and age older than 65 years was an independent predictor of mortality. CONCLUSIONS: In this large prospective study, increasing age emerges as a major determinant of the clinical characteristics of IE. Lower rates of surgical treatment and high mortality are the most prominent features of elderly patients with IE. Efforts should be made to prevent health care-associated acquisition and improve outcomes in this major subgroup of patients with IE.

Use of nucleoside reverse transcriptase inhibitors and risk of myocardial infarction in HIV-infected patients enrolled in the D:A:D study: a multi-cohort collaboration.

BACKGROUND: Whether nucleoside reverse transcriptase inhibitors increase the risk of myocardial infarction in HIV-infected individuals is unclear. Our aim was to explore whether exposure to such drugs was associated with an excess risk of myocardial infarction in a large, prospective observational cohort of HIV-infected patients. METHODS: We used Poisson regression models to quantify the relation between cumulative, recent (currently or within the preceding 6 months), and past use of zidovudine, didanosine, stavudine, lamivudine, and abacavir and development of myocardial infarction in 33 347 patients enrolled in the D:A:D study. We adjusted for cardiovascular risk factors that are unlikely to be affected by antiretroviral therapy, cohort, calendar year, and use of other antiretrovirals. FINDINGS: Over 157,912 person-years, 517 patients had a myocardial infarction. We found no associations between the rate of myocardial infarction and cumulative or recent use of zidovudine, stavudine, or lamivudine. By contrast, recent-but not cumulative-use of abacavir or didanosine was associated with an increased rate of myocardial infarction (compared with those with no recent use of the drugs, relative rate 1.90, 95% CI 1.47-2.45 [p=0.0001] with abacavir and 1.49, 1.14-1.95 [p=0.003] with didanosine); rates were not significantly increased in those who stopped these drugs more than 6 months previously compared with those who had never received these drugs. After adjustment for predicted 10-year risk of coronary heart disease, recent use of both didanosine and abacavir remained associated with increased rates of myocardial infarction (1.49, 1.14-1.95 [p=0.004] with didanosine; 1.89, 1.47-2.45 [p=0.0001] with abacavir). INTERPRETATION: There exists an increased risk of myocardial infarction in patients exposed to abacavir and didanosine within the preceding 6 months. The excess risk does not seem to be explained by underlying established cardiovascular risk factors and was not present beyond 6 months after drug cessation.

Le projet "SYNAPSY": un point de rencontre entre clinique et neurosciences [The "SYNAPSY" project: where psychiatrists and neuroscientists meet].

The National Center of Competence in Research project "SYNAPSY" aims at identifying certain mechanisms of psychiatric and cognitive disorders, in order to improve the understanding and the genesis of such pathologies, and to promote the development of better diagnostic tools and of new therapeutic approaches. It provides an excellent opportunity for clinical psychiatrists and neuroscientists to develop a synergic mode of collaboration. On the basis of questions stemming from clinical practice and in the frame of patients cohorts, various research projects in neuroscience should lead to progresses that may have a considerable impact on clinical practice.

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.