18 resultados para Medical Subject Headings::Diseases::Substance-Related Disorders::Poisoning::Drug Toxicity


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Genetic variants influence the risk to develop certain diseases or give rise to differences in drug response. Recent progresses in cost-effective, high-throughput genome-wide techniques, such as microarrays measuring Single Nucleotide Polymorphisms (SNPs), have facilitated genotyping of large clinical and population cohorts. Combining the massive genotypic data with measurements of phenotypic traits allows for the determination of genetic differences that explain, at least in part, the phenotypic variations within a population. So far, models combining the most significant variants can only explain a small fraction of the variance, indicating the limitations of current models. In particular, researchers have only begun to address the possibility of interactions between genotypes and the environment. Elucidating the contributions of such interactions is a difficult task because of the large number of genetic as well as possible environmental factors.In this thesis, I worked on several projects within this context. My first and main project was the identification of possible SNP-environment interactions, where the phenotypes were serum lipid levels of patients from the Swiss HIV Cohort Study (SHCS) treated with antiretroviral therapy. Here the genotypes consisted of a limited set of SNPs in candidate genes relevant for lipid transport and metabolism. The environmental variables were the specific combinations of drugs given to each patient over the treatment period. My work explored bioinformatic and statistical approaches to relate patients' lipid responses to these SNPs, drugs and, importantly, their interactions. The goal of this project was to improve our understanding and to explore the possibility of predicting dyslipidemia, a well-known adverse drug reaction of antiretroviral therapy. Specifically, I quantified how much of the variance in lipid profiles could be explained by the host genetic variants, the administered drugs and SNP-drug interactions and assessed the predictive power of these features on lipid responses. Using cross-validation stratified by patients, we could not validate our hypothesis that models that select a subset of SNP-drug interactions in a principled way have better predictive power than the control models using "random" subsets. Nevertheless, all models tested containing SNP and/or drug terms, exhibited significant predictive power (as compared to a random predictor) and explained a sizable proportion of variance, in the patient stratified cross-validation context. Importantly, the model containing stepwise selected SNP terms showed higher capacity to predict triglyceride levels than a model containing randomly selected SNPs. Dyslipidemia is a complex trait for which many factors remain to be discovered, thus missing from the data, and possibly explaining the limitations of our analysis. In particular, the interactions of drugs with SNPs selected from the set of candidate genes likely have small effect sizes which we were unable to detect in a sample of the present size (<800 patients).In the second part of my thesis, I performed genome-wide association studies within the Cohorte Lausannoise (CoLaus). I have been involved in several international projects to identify SNPs that are associated with various traits, such as serum calcium, body mass index, two-hour glucose levels, as well as metabolic syndrome and its components. These phenotypes are all related to major human health issues, such as cardiovascular disease. I applied statistical methods to detect new variants associated with these phenotypes, contributing to the identification of new genetic loci that may lead to new insights into the genetic basis of these traits. This kind of research will lead to a better understanding of the mechanisms underlying these pathologies, a better evaluation of disease risk, the identification of new therapeutic leads and may ultimately lead to the realization of "personalized" medicine.

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Background: The desire to improve the quality of health care for an aging population with multiple chronic diseases is fostering a rapid growth in inter-professional team care, supported by health professionals, governments, businesses and public institutions. However, the weight of evidence measuring the impact of team care on patient and health system outcomes has not, heretofore, been clear. To address this deficiency, we evaluated published evidence for the clinical effectiveness of team care within a chronic disease management context in a systematic overview. Methods: A search strategy was built for Medline using medical subject headings and other relevant keywords. After testing for perform- ance, the search strategy was adapted to other databases (Cinhal, Cochrane, Embase, PsychInfo) using their specific descriptors. The searches were limited to reviews published between 1996 and 2011, in English and French languages. The results were analyzed by the number of studies favouring team intervention, based on the direction of effect and statistical significance for all reported outcomes. Results: Sixteen systematic and 7 narrative reviews were included. Diseases most frequently targeted were depression, followed by heart failure, diabetes and mental disorders. Effective- ness outcome measures most commonly used were clinical endpoints, resource utilization (e.g., emergency room visits, hospital admissions), costs, quality of life and medication adherence. Briefly, while improved clinical and resource utilization endpoints were commonly reported as positive outcomes, mixed directional results were often found among costs, medication adherence, mortality and patient satisfaction outcomes. Conclusions: We conclude that, although suggestive of some specific benefits, the overall weight of evidence for team care efficacy remains equivocal. Further studies that examine the causal interactions between multidisciplinary team care and clinical and economic outcomes of disease management are needed to more accurately assess its net program efficacy and population effectiveness.

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Objectifs En EHPAD, selon les recommandations de la Haute Autorité de santé (HAS), la prise en charge non médicamenteuse des troubles psychocomportementaux associés à la maladie d'Alzheimer ou aux syndromes apparentés, implique une réorganisation, une formation spécifique du personnel et du temps. Se pose ici la question du rôle des bénévoles dans cette prise en charge. Matériels et méthodes Enquête descriptive à partir de questionnaires distribués aux différents intervenants (bénévoles, professionnels de santé et aidants familiaux) d'une unité protégée de l'EHPAD de la clinique du Diaconat (Colmar, France) et spécifiquement élaborés pour évaluer leur vécu de l'expérience de bénévolat dans la prise en charge des résidents souffrant d'une maladie d'Alzheimer ou d'un syndrome apparenté. Résultats Sur les 101 questionnaires qui ont été remplis, 85,7 % des aidants, 60 % des bénévoles et 42,1 % des professionnels constataient des bénéfices pour eux-mêmes. Les professionnels et les aidants avaient confiance dans l'intervention des bénévoles. Cependant, les bénévoles semblaient manquer de compétence pour le soutien des aidants et dans les techniques de communication avec les résidents. Les points essentiels pour permettre un fonctionnement harmonieux entre les différents intervenants étaient de bien définir préalablement le rôle de bénévoles et d'en informer les autres intervenants, de former les bénévoles à ce rôle et de favoriser la communication entre les bénévoles et les professionnels. Conclusion Cette enquête montre que les bénévoles ont une place aux côtés des équipes soignantes pour participer à la prise en charge non médicamenteuse des personnes atteintes de maladie d'Alzheimer ou syndromes apparentés. Ils ont une position singulière et jouent un rôle complémentaire de celui des soignants et des aidants. Objectives According to the recommendation of the French High Authority of Health (HAS), the non-pharmaceutical management of psycho-behavioural disorders associated with Alzheimer's disease or related disorders in a nursing home, involves reorganization an specific training for staff members and time. This raises the question of the role of volunteering in this approach. Materials and methods A descriptive survey using questionnaires distributed to various stakeholders (volunteers, healthcare professionals and caregivers) of a protected unit of the nursing home of the Diaconat clinic (Colmar, France) and specifically designed to assess their experience of the volunteering in supporting residents suffering from Alzheimer's diseases or related disorders. Results Of the 101 questionnaires that were filled in, 85.7% of caregivers, 60% of volunteers and 42.1% of professionals recorded benefits for themselves. Professionals and informal carers had confidence in the intervention of volunteers. However, volunteers seemed to lack skills to support informal caregivers and specific knowledge about the technique of communicating with residents. The key points to favor harmonious collaborations between the different stakeholders were: to properly define the role of volunteers and to inform other stakeholders about this role previously, and to specifically educate themselves in this task and to promote communication between volunteers and all other professionals. Conclusion This study shows that volunteers have a place alongside medical teams to participate in the non-pharmaceutical treatment for people with Alzheimer's disease or related syndromes. They have a unique position and play a complementary role to that of carers and informal caregivers.