929 resultados para Complex quantitative traits


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Introduction: Patients who survive an intensive care unit admission frequently suffer physical and psychological morbidity for many months after discharge. Current rehabilitation pathways are often fragmented and little is known about the optimum method of promoting recovery. Many patients suffer reduced quality of life. Methods and analysis: The authors plan a multicentre randomised parallel group complex intervention trial with concealment of group allocation from outcome assessors. Patients who required more than 48 h of mechanical ventilation and are deemed fit for intensive care unit discharge will be eligible. Patients with primary neurological diagnoses will be excluded. Participants will be randomised into one of the two groups: the intervention group will receive standard ward-based care delivered by the NHS service with additional treatment by a specifically trained generic rehabilitation assistant during ward stay and via telephone contact after hospital discharge and the control group will receive standard ward-based care delivered by the current NHS service. The intervention group will also receive additional information about their critical illness and access to a critical care physician. The total duration of the intervention will be from randomisation to 3 months postrandomisation. The total duration of follow-up will be 12 months from randomisation for both groups. The primary outcome will be the Rivermead Mobility Index at 3 months. Secondary outcomes will include measures of physical and psychological morbidity and function, quality of life and survival over a 12-month period. A health economic evaluation will also be undertaken. Groups will be compared in relation to primary and secondary outcomes; quantitative analyses will be supplemented by focus groups with patients, carers and healthcare workers. Ethics and dissemination: Consent will be obtained from patients and relatives according to patient capacity. Data will be analysed according to a predefined analysis plan.

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Purpose – This research aims to understand the role played by social entrepreneurs’ personality traits on the choice between the traditional donation model and social crowdfunding (CF) to finance social projects. Design/methodology/approach – Social CF is examined as an instrument to capture funds for social projects, and the particular case of the Portuguese Social Stock Exchange (PSSE) is presented. The approach is quantitative in nature and the data were collected through a questionnaire that was emailed to non-governmental organizations in Portugal and founders of the projects listed on PSSE. Logistic regression was employed to predict the probability that a social entrepreneur would use PSSE rather than traditional financing. The predictor variables were based on the big five personality traits. Findings – Our investigation reveals that the agreeableness and neuroticism factors were not even considered in the results of the factorial analysis, which indicates the minor importance of these personality traits in the funding decisions of the Portuguese social entrepreneurs. The same applies to the factors of openness to new experiences and extraversion, which, although considered in the logistic analysis, showed no statistical significance. Finally, the conscientiousness personality trait seems to be the only factor that might explain the use of the PSSE platform.Originality/value – Studies on the profile of the social entrepreneurs that use CF for financing social projects are relatively rare, specifically in the context of Social Stock Exchange platforms. Additionally, there is a need to carry out more empirical evidence about the effect of social entrepreneurs’ personality traits on the decision to finance social projects through social CF platforms vis-a-vis the traditional donation model.

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There is increasing interest in evaluating the environmental effects on crop architectural traits and yield improvement. However, crop models describing the dynamic changes in canopy structure with environmental conditions and the complex interactions between canopy structure, light interception, and dry mass production are only gradually emerging. Using tomato (Solanum lycopersicum L.) as a model crop, a dynamic functional-structural plant model (FSPM) was constructed, parameterized, and evaluated to analyse the effects of temperature on architectural traits, which strongly influence canopy light interception and shoot dry mass. The FSPM predicted the organ growth, organ size, and shoot dry mass over time with high accuracy (>85%). Analyses of this FSPM showed that, in comparison with the reference canopy, shoot dry mass may be affected by leaf angle by as much as 20%, leaf curvature by up to 7%, the leaf length: width ratio by up to 5%, internode length by up to 9%, and curvature ratios and leaf arrangement by up to 6%. Tomato canopies at low temperature had higher canopy density and were more clumped due to higher leaf area and shorter internodes. Interestingly, dry mass production and light interception of the clumped canopy were more sensitive to changes in architectural traits. The complex interactions between architectural traits, canopy light interception, dry mass production, and environmental conditions can be studied by the dynamic FSPM, which may serve as a tool for designing a canopy structure which is 'ideal' in a given environment.

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A human genome contains more than 20 000 protein-encoding genes. A human proteome, instead, has been estimated to be much more complex and dynamic. The most powerful tool to study proteins today is mass spectrometry (MS). MS based proteomics is based on the measurement of the masses of charged peptide ions in a gas-phase. The peptide amino acid sequence can be deduced, and matching proteins can be found, using software to correlate MS-data with sequence database information. Quantitative proteomics allow the estimation of the absolute or relative abundance of a certain protein in a sample. The label-free quantification methods use the intrinsic MS-peptide signals in the calculation of the quantitative values enabling the comparison of peptide signals from numerous patient samples. In this work, a quantitative MS methodology was established to study aromatase overexpressing (AROM+) male mouse liver and ovarian endometriosis tissue samples. The workflow of label-free quantitative proteomics was optimized in terms of sensitivity and robustness, allowing the quantification of 1500 proteins with a low coefficient of variance in both sample types. Additionally, five statistical methods were evaluated for the use with label-free quantitative proteomics data. The proteome data was integrated with other omics datasets, such as mRNA microarray and metabolite data sets. As a result, an altered lipid metabolism in liver was discovered in male AROM+ mice. The results suggest a reduced beta oxidation of long chain phospholipids in the liver and increased levels of pro-inflammatory fatty acids in the circulation in these mice. Conversely, in the endometriosis tissues, a set of proteins highly specific for ovarian endometrioma were discovered, many of which were under the regulation of the growth factor TGF-β1. This finding supports subsequent biomarker verification in a larger number of endometriosis patient samples.

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The use of chemical control measures to reduce the impact of parasite and pest species has frequently resulted in the development of resistance. Thus, resistance management has become a key concern in human and veterinary medicine, and in agricultural production. Although it is known that factors such as gene flow between susceptible and resistant populations, drug type, application methods, and costs of resistance can affect the rate of resistance evolution, less is known about the impacts of density-dependent eco-evolutionary processes that could be altered by drug-induced mortality. The overall aim of this thesis was to take an experimental evolution approach to assess how life history traits respond to drug selection, using a free-living dioecious worm (Caenorhabditis remanei) as a model. In Chapter 2, I defined the relationship between C. remanei survival and Ivermectin dose over a range of concentrations, in order to control the intensity of selection used in the selection experiment described in Chapter 4. The dose-response data were also used to appraise curve-fitting methods, using Akaike Information Criterion (AIC) model selection to compare a series of nonlinear models. The type of model fitted to the dose response data had a significant effect on the estimates of LD50 and LD99, suggesting that failure to fit an appropriate model could give misleading estimates of resistance status. In addition, simulated data were used to establish that a potential cost of resistance could be predicted by comparing survival at the upper asymptote of dose-response curves for resistant and susceptible populations, even when differences were as low as 4%. This approach to dose-response modeling ensures that the maximum amount of useful information relating to resistance is gathered in one study. In Chapter 3, I asked how simulations could be used to inform important design choices used in selection experiments. Specifically, I focused on the effects of both within- and between-line variation on estimated power, when detecting small, medium and large effect sizes. Using mixed-effect models on simulated data, I demonstrated that commonly used designs with realistic levels of variation could be underpowered for substantial effect sizes. Thus, use of simulation-based power analysis provides an effective way to avoid under or overpowering a study designs incorporating variation due to random effects. In Chapter 4, I 3 investigated how Ivermectin dosage and changes in population density affect the rate of resistance evolution. I exposed replicate lines of C. remanei to two doses of Ivermectin (high and low) to assess relative survival of lines selected in drug-treated environments compared to untreated controls over 10 generations. Additionally, I maintained lines where mortality was imposed randomly to control for differences in density between drug treatments and to distinguish between the evolutionary consequences of drug treatment versus ecological processes affected by changes in density-dependent feedback. Intriguingly, both drug-selected and random-mortality lines showed an increase in survivorship when challenged with Ivermectin; the magnitude of this increase varied with the intensity of selection and life-history stage. The results suggest that interactions between density-dependent processes and life history may mediate evolved changes in susceptibility to control measures, which could result in misleading conclusions about the evolution of heritable resistance following drug treatment. In Chapter 5, I investigated whether the apparent changes in drug susceptibility found in Chapter 4 were related to evolved changes in life-history of C. remanei populations after selection in drug-treated and random-mortality environments. Rapid passage of lines in the drug-free environment had no effect on the measured life-history traits. In the drug-free environment, adult size and fecundity of drug-selected lines increased compared to the controls but drug selection did not affect lifespan. In the treated environment, drug-selected lines showed increased lifespan and fecundity relative to controls. Adult size of randomly culled lines responded in a similar way to drug-selected lines in the drug-free environment, but no change in fecundity or lifespan was observed in either environment. The results suggest that life histories of nematodes can respond to selection as a result of the application of control measures. Failure to take these responses into account when applying control measures could result in adverse outcomes, such as larger and more fecund parasites, as well as over-estimation of the development of genetically controlled resistance. In conclusion, my thesis shows that there may be a complex relationship between drug selection, density-dependent regulatory processes and life history of populations challenged with control measures. This relationship could have implications for how resistance is monitored and managed if life histories of parasitic species show such eco-evolutionary responses to drug application.

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Cement hydration is a very complex process in which crystalline phases are dissolving in water and after supersaturation hydrated crystalline and amorphous phases precipitate. Great efforts are being made to develop analytical tools to accurately quantify these processes and X-ray Powder Diffraction (XRPD) combined with Rietveld methodology is a suitable tool to quantify these complex mixtures and their time evolutions. However, some problems/drawbacks should be overcome to fully apply it to cement pastes characterization in order to get accurate phase analyses. In order to tackle this issue, a comparison of the Rietveld quantitative phase analyses (RQPA) obtained using Cu-Kα1, Mo-Kα1, and synchrotron strictly monochromatic radiations of three set of mixtures with increasing amounts of a given phase (spiking-method) is presented. The main aim is to test a simple hypothesis: high energy Mo-radiation, combined with high resolution laboratory X-ray powder diffraction optics, could yield more accurate RQPA, for challenging samples, than well-established Cu-radiation procedure(s). Firstly, a series of crystalline inorganic phase mixtures with increasing amounts of an analyte was studied in order to determine if Mo-Kα1 methodology is as robust as the well-established Cu-Kα1 one. Secondly, a series of crystalline organic phase mixtures with increasing amounts of an organic compound was analyzed. This type of mixture can result in transparency problems in reflection and inhomogeneous loading in narrow capillaries for transmission studies. Finally, a third series with variable amorphous content was studied. Limit of detection in Cu-patterns, ~0.2 wt%, are slightly lower than those derived from Mo-patterns, ~0.3 wt%, for similar recording times and limit of quantification for a well crystallized inorganic phase using laboratory powder diffraction was established ~0.10 wt%. From the obtained results it is inferred that RQPA from Mo-Kα1 radiation have slightly better accuracies than those obtained from Cu-Kα1. The results obtained in the previous comparison have been taken into account to obtain accurate RQPA, including the amorphous component with internal standard methodology, of hydrating cement pastes. The final goal of this second study was understanding the early-stage hydration mechanisms of a variety of cementing systems (Ordinary Portland Cement or Belite Alite Ye’elimite cement) as a function of water content, superplasticizer additives and type and content of sulfate source. In order to do so, X-ray powder diffraction data were taken in-situ with the humidity chamber coupled to the Mo-Kα1 powder diffractometer. Some results of this ongoing investigation will be reported and discussed.

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In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviour in the model by using standard methods. As a case study we have chosen the retail sector, and here in particular the operations of the fitting room in the women wear department of a large UK department store. In our case study we looked at ways of determining the efficiency of implementing new management policies for the fitting room operation through modelling the reactive behaviour of staff and customers of the department. First, we have carried out a validation experiment in which we compared the results from our models to the performance of the real system. This experiment also allowed us to establish differences in output accuracy between the two modelling methods. In a second step a multi-scenario experiment was carried out to study the behaviour of the models when they are used for the purpose of operational improvement. Overall we have found that for our case study example both, discrete event simulation and agent based simulation have the same potential to support the investigation into the efficiency of implementing new management policies.

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Restoration of natural wetlands may be informed by macroinvertebrate community composition. Macroinvertebrate communities of wetlands are influenced by environmental characteristics such as vegetation, soil, hydrology, land use, and isolation. This dissertation explores multiple approaches to the assessment of wetland macroinvertebrate community composition, and demonstrates how these approaches can provide complementary insights into the community ecology of aquatic macroinvertebrates. Specifically, this work focuses on macroinvertebrates of Delmarva Bays, isolated seasonal wetlands found on Maryland’s eastern shore. A comparison of macroinvertebrate community change over a nine years in a restored wetland complex indicated that the macroinvertebrate community of a rehabilitated wetlands more rapidly approximated the community of a reference site than did a newly created wetland. The recovery of a natural macroinvertebrate community in the rehabilitated wetland indicated that wetland rehabilitation should be prioritized over wetland creation and long-term monitoring may be needed to evaluate restoration success. This study also indicated that characteristics of wetland vegetation reflected community composition. The connection between wetland vegetation and macroinvertebrate community composition led to a regional assessment of predaceous diving beetle (Coleoptera: Dytiscidae) community composition in 20 seasonal wetlands, half with and half without sphagnum moss (Sphagnum spp.). Species-level identifications indicated that wetlands with sphagnum support unique and diverse assemblages of beetles. These patterns suggest that sphagnum wetlands provide habitat that supports biodiversity on the Delmarva Peninsula. To compare traits of co-occurring beetles, mandible morphology and temporal and spatial variation were measured between three species of predaceous diving beetles. Based on mandible architecture, all species may consume similarly sized prey, but prey characteristics likely differ in terms of piercing force required for successful capture and consumption. Therefore, different assemblages of aquatic beetles may have different effects on macroinvertebrate community structure. Integrating community-level and species-level data strengthens the association between individual organisms and their ecological role. Effective restoration of imperiled wetlands benefits from this integration, as it informs the management practices that both preserve biodiversity and promote ecosystem services.

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Extreme conditions of coastal lagoons could directly modify the genetic patterns of species. The aim of this work was to investigate the influence of environmental conditions and small scale dispersal patterns on the phosphoglucose isomerase (PGI*) genetic variability of Cerastoderma glaucum from the Mar Menor coastal lagoon. For this purpose, 284 cockles were collected around the perimeter of the lagoon. Vertical polyacrylamide gel electrophoresis was used to scan for PGI* polymorphisms, giving a total of seven alleles. The spatial genetic distribution of the PGI* variability, which seems to be marked by the main circulation in the lagoon, discriminates four hydrological basins. In the central basin, a gradient of allelic composition reflects the circulation forced by the dominant winds and the main channel communicated to the open sea. This result is well supported by the salinity GAM model that defines this gradient. The other three basins are defined by the distribution of fine sand in a more complex model that tries to explain the isolation of the three sites localized inside these basins. The southern, western and northern basins show the lowest degree of interconnection and are considered the most confined areas of the Mar Menor lagoon. This situation agrees with the confinement theory for benthic assemblages in the lagoon. The greater degree of differentiation seen in the Isla del Ciervo population is probably due to recent human intervention on the nearby Marchamalo channel, which has been drained in recent years thus altering the influence of the Mediterranean Sea on the southern basin.

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Polylysogeny is frequently considered to be the result of an adaptive evolutionary process in which prophages confer fitness and/or virulence factors, thus making them important for evolution of both bacterial populations and infectious diseases. The Enterococcus faecalis V583 isolate belongs to the high-risk clonal complex 2 that is particularly well adapted to the hospital environment. Its genome carries 7 prophage-like elements (V583-pp1 to -pp7), one of which is ubiquitous in the species. In this study, we investigated the activity of the V583 prophages and their contribution to E. faecalis biological traits. We systematically analyzed the ability of each prophage to excise from the bacterial chromosome, to replicate and to package its DNA. We also created a set of E. faecalis isogenic strains that lack from one to all six non-ubiquitous prophages by mimicking natural excision. Our work reveals that prophages of E. faecalis V583 excise from the bacterial chromosome in the presence of a fluoroquinolone, and are able to produce active phage progeny. Intricate interactions between V583 prophages were also unveiled: i) pp7, coined EfCIV583 for E. faecalis chromosomal island of V583, hijacks capsids from helper phage 1, leading to the formation of distinct virions, and ii) pp1, pp3 and pp5 inhibit excision of pp4 and pp6. The hijacking exerted by EfCIV583 on helper phage 1 capsids is the first example of molecular piracy in Gram positive bacteria other than staphylococci. Furthermore, prophages encoding platelet-binding-like proteins were found to be involved in adhesion to human platelets, considered as a first step towards the development of infective endocarditis. Our findings reveal not only a role of E. faecalis V583 prophages in pathogenicity, but also provide an explanation for the correlation between antibiotic usage and E. faecalis success as a nosocomial pathogen, as fluoriquinolone may provoke release of prophages and promote gene dissemination among isolates.

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Rapamycin consistently increases longevity in mice although the mechanism of action of this drug is unknown. In the present investigation we studied the effect of rapamycin on mitochondrial oxidative stress at the same dose that is known to increase longevity in mice (14 mg of rapamycin/kg of diet). Middle aged mice (16 months old) showed significant age-related increases in mitochondrial ROS production at complex I, accumulation of mtDNA fragments inside nuclear DNA, mitochondrial protein lipoxidation, and lipofuscin accumulation compared to young animals (4 months old) in the liver. After 7 weeks of dietary treatment all those increases were totally or partially (lipofuscin) abolished by rapamycin, middle aged rapamycin-treated animals showing similar levels in those parameters to young animals. The decrease in mitochondrial ROS production was due to qualitative instead of quantitative changes in complex I. The decrease in mitochondrial protein lipoxidation was not due to decreases in the amount of highly oxidizable unsaturated fatty acids. Rapamycin also decreased the amount of RAPTOR (of mTOR complex) and increased the amounts of the PGC1-α and ATG13 proteins. The results are consistent with the possibility that rapamycin increases longevity in mice at least in part by lowering mitochondrial ROS production and increasing autophagy, decreasing the derived final forms of damage accumulated with age which are responsible for increased longevity. The decrease in lipofuscin accumulation induced by rapamycin adds to previous information suggesting that the increase in longevity induced by this drug can be due to a decrease in the rate of aging. © 2016 Elsevier Inc.

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Abstract: Respiratory therapists must be able to care for their patients safely, efficiently and competently. They manage critically ill patients on life support systems. As a member of the anesthesia team they are responsible for the vulnerable patient undergoing surgery. Within all areas of the hospital they are called upon to make decisions and judgements concerning patient treatment. The environment that is found in the modern clinical setting is often stressful and demanding. The respiratory and anesthesia technology program has the responsibility of preparing competent practioners who graduate not only with a broad knowledge base but with the affective competencies that are required to meet these challenges. Faculty and clinical instructors in the program of Respiratory and Anesthesia Technology have been troubled by rising attrition rates and weak performance of students. It is apparent that this is not a problem unique to Vanier College. The rationale for this study was multi-fold; to establish a definition of student success, to determine whether pre-admission academic abilities can predict success in the program and whether scores on a professional behavioural aptitudes tool can predict success in the clinical year of the program. Predictors were sought that could be used either in the pre-program admission policies or during the course of study in order to ensure success throughout the program and beyond. A qualitative analysis involving clinical instructors and faculty (n=5) was carried out to explore what success signified for a student in the respiratory and anesthesia program. While this process revealed that a student who obtained a grade above 77.5% was considered “successful”, the concept surrounding success was a much more complex issue. Affective as well as cognitive and psychomotor abilities complete the model of the successful student. Appropriate behaviour and certain character traits in a respiratory therapy student are considered to be significant elements leading to success. Assessment of students in their clinical year of the respiratory & anesthesia technology program currently include little measurement of abilities in the affective domain, and the resulting grade becomes primarily a measure of academic and procedural skills. A quantitative study of preadmission records and final program grades was obtained from a single cohort of respiratory and anesthesia technology students who began the program in 2005 and graduated in 2008 (n=16). Data was collected and a descriptive analysis (analysis of variance, Pearson correlation) was used to determine the relationship between preadmission grades and success. The lack of association between the high school grades and grades in the program ran contrary to some of the findings in the literature and it can be cautiously inferred that preadmission grades do not predict success in the program. To ascertain the predictive significance of evaluating professional behavioural skills and success in clinical internship, a behaviour assessment tool was used by clinical instructors and faculty to score each student during a rotation in their third year of the program which was clinical internship. The results of this analysis showed that a moderately strong association could be made between a high score on the behavior assessment tool and final clinical grades. Therefore this tool may be effective in predicting success in the clinical year of the program. Refining the admissions process to meet the challenge and responsibility of turning out graduates who are capable of meeting the needs of the profession is difficult but essential. The capacity to predict which students possess the affective competencies necessary to cope and succeed in their clinical year is conceivably more important than their academic abilities. Although these preliminary findings contribute, to some degree, to the literature that exists concerning methods of predicting success in a respiratory and anesthesia technology program, much data is still unknown. Further quantitative and qualitative research is required using a broader population base to substantiate the findings of this small study.||Résumé: Les inhalothérapeutes doivent être capables de prodiguer des soins à leurs patients d’une manière sécuritaire, efficace et compétente. Ils/elles peuvent être appelé(e)s à gérer les soins aux personnes gravement malades branchées à un respirateur artificiel. En tant que membres de l’équipe d’anesthésie, ils/elles sont responsables des patients qui subissent une chirurgie. Ils/elles sont sollicité(e)s par tous les secteurs de l’hôpital pour décider ou juger des traitements à apporter aux malades. L’environnement dans lequel ils/elles travaillent est souvent stressant et exigeant. Le programme de Techniques d’inhalothérapie et d’anesthésie vise à former des inhalothérapeutes compétent(e)s qui possèdent non seulement les connaissances propres à la discipline mais également les aptitudes affectives nécessaires pour faire face à ces défis. Les enseignant(e)s et instructeur(e)s cliniques en Techniques d’inhalothérapie et d’anesthésie sont préoccupé(e)s par le taux d’abandon croissant et la faible performance des étudiant(e)s dans le programme. Il semble que ce problème ne soit pas unique au Collège Vanier. Le but de cette recherche est multiple : définir ce qu’est «réussir» pour les étudiant(e)s de ce programme; déterminer si les aptitudes scolaires acquises avant l’admission au programme peuvent aider à prévoir le succès des étudiant(e)s dans le programme; et si les résultats obtenus à un test mesurant les aptitudes comportementales professionnelles permettent de prévoir le succès des étudiant(e)s dans le stage clinique du programme. On a essayé d’identifier des facteurs qui pourraient être utilisés dans les politiques d’admission au programme ou celles régissant le cheminement dans le programme qui permettraient d’assurer le succès au cours du programme et par la suite. Une analyse qualitative a été conduite auprès des instructeur(e)s cliniques et des enseignant(e)s (n=5) afin d’étudier la notion de « réussite » des étudiant(e)s dans le programme. Bien qu’un(e) étudiant(e) ayant obtenu une note supérieure à 77.5% soit considéré(e) comme ayant « réussi », la notion de « réussite » est beaucoup plus complexe. Des aptitudes affectives, autant que cognitives et psychomotrices complètent le modèle d’un(e) étudiant(e) ayant réussi. Un comportement approprié et certains traits de caractère sont considérés comme des facteurs importants pour la réussite d’un(e) étudiant(e) en techniques d’inhalothérapie et d’anesthésie. L’évaluation qui se fait actuellement des étudiant(e)s dans le stage clinique du programme ne porte que peu sur les aptitudes affectives, et le résultat obtenu témoigne essentiellement des aptitudes scolaires et procédurales. Une analyse quantitative des dossiers des étudiant(e)s avant leur admission au programme et leurs notes finales a été conduite auprès d’une cohorte d’étudiant(e)s ayant commencé le programme en 2005 et gradué en 2008 (n=16). Des données ont été recueillies et une analyse descriptive (analyse de la variance, corrélation de Pearson) ont été faites afin de déterminer l’existence d’un lien entre les notes obtenues au secondaire et celles obtenues dans le programme. L’absence de corrélation entre les deux catégories de notes va à l’encontre de certaines recherches publiées et on peut déduire avec réserve que les notes obtenues avant l’admission au programme ne permettent pas de prévoir la réussite dans le programme. Afin de vérifier la portée de l’évaluation du comportement professionnel et de la réussite en milieu clinique quant à la prévision de réussite dans le programme, une méthode d’évaluation du comportement a été appliquée par les instructeurs(e) cliniques et les enseignant(e)s pour évaluer chaque étudiant(e) au cours d’une rotation dans leur troisième année de stage clinique. Les résultats de cette analyse ont démontré qu’une corrélation moyennement forte pouvait être faite entre une bonne note à l’évaluation comportementale et les notes finales du stage clinique. Perfectionner le processus d’admission au programme afin d’assumer la responsabilité de former des diplômé(e)s capables de répondre aux besoins de la profession est difficile mais essentiel. Avoir les moyens de prévoir quels/quelles étudiant(e)s ont les compétences affectives nécessaires pour faire face à la réussite de leur année de stage clinique est peut être plus important que d’avoir les aptitudes scolaires. Bien que ces observations préliminaires contribuent, à un certain degré, à la littérature existante sur les méthodes de prévoir la réussite dans le programme d’inhalothérapie et d’anesthésie, plusieurs données restent inconnues. Une recherche quantitative et qualitative plus élaborée, conduite sur un échantillon plus large de la population, est nécessaire afin de corroborer les résultats de cette étude limitée.