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Academic literature on the topic 'Stratification pronostique'
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Journal articles on the topic "Stratification pronostique"
Blaudszun, Grégoire, Martine Louis-Simonet, Nicolas Vuilleumier, and Marc Righini. "Biomarqueurs [b]cardiaques[/b] et embolie pulmonaire : stratification pronostique." Revue Médicale Suisse 5, no. 221 (2009): 2022–27. http://dx.doi.org/10.53738/revmed.2009.5.221.2022.
Full textBašták Ďurán, Ivan, and Pascal Marquet. "Les travaux sur la turbulence : les origines, Toucans, Cost-ES0905 et influence de l'entropie." La Météorologie, no. 112 (2021): 079. http://dx.doi.org/10.37053/lameteorologie-2021-0023.
Full textBrière, J. "Thrombocytémie essentielle. Critères du diagnostic. Stratification pronostique. Ébauche de stratégie thérapeutique." EMC - Hématologie 1, no. 3 (January 2006): 1–19. http://dx.doi.org/10.1016/s1155-1984(06)40042-x.
Full textSicard, A., V. Meas-Yedid, M. Rabeyrin, A. Koenig, S. Ducreux, J. Y. Scoazec, F. Dijoud, et al. "La quantification topographique informatisée des monocytes améliore la stratification pronostique du rejet humoral." Néphrologie & Thérapeutique 11, no. 5 (September 2015): 280–81. http://dx.doi.org/10.1016/j.nephro.2015.07.055.
Full textLenglet, A., F. Balen, S. Charpentier, A. Sourbes, D. Arcuset, V. Delonglée, P. A. Fort, V. Bounes, and B. Charriton Dadone. "Événements indésirables au cours de transfert interhospitalier de patients présentant un syndrome coronaire aigu non ST+." Annales françaises de médecine d’urgence 9, no. 6 (October 21, 2019): 369–74. http://dx.doi.org/10.3166/afmu-2019-0188.
Full textDerangère, Valentin, Coralie Schoumacher, Gwladys Gaudillière-Le Dain, Titouan Huppe, Alis Ilie, David Rageot, Franck Monnien, Sylvain Ladoire, Caroline Truntzer, and François Ghiringhelli. "Stratification pronostique des malades atteints de cancer pancréatique basée sur leurs caractéristiques cliniques associées à un pseudo-immunoscore réalisé en multimarquages chromogéniques." Morphologie 107, no. 359 (December 2023): 100642. http://dx.doi.org/10.1016/j.morpho.2023.100642.
Full textBoudriga, H., M. Ben Fredj, M. Ben Rejeb, A. Ezzine, S. Mensi, K. Chatti, and T. Dardouri. "Carcinome papillaire de la thyroïde : facteurs pronostiques et stratification du risque." Annales d'Endocrinologie 82, no. 5 (October 2021): 469. http://dx.doi.org/10.1016/j.ando.2021.08.626.
Full textTavarelli, M., J. Sarfati, J. L. Golmard, C. Buffet, C. Ghander, C. Lepoutre, F. Tissier, C. Tresallet, F. Menegaux, and L. Leenhardt. "Facteurs pronostiques de récidive et re-stratification du risque d’une cohorte monocentrique de 580 patients ayant un cancer papillaire thyroïdien classé pT3." Annales d'Endocrinologie 76, no. 4 (September 2015): 330. http://dx.doi.org/10.1016/j.ando.2015.07.106.
Full textFarouk Boukerche and Leila Hammou. "Stratification du risque dans le SCA sans sus décalage du segment ST dans une population Oranaise : « Etude ORAN »." Journal de la faculté de médecine d'Oran 2, no. 2 (December 31, 2018). http://dx.doi.org/10.51782/jfmo.v2i2.71.
Full textDissertations / Theses on the topic "Stratification pronostique"
Dagher, Elie. "Stratification à visée pronostique des carcinomes mammaires triple-négatifs félins, modèles spontanés de cancer du sein." Thesis, Nantes, Ecole nationale vétérinaire, 2019. http://www.theses.fr/2019ONIR126F.
Full textTriple-negative (TN) breast cancers, negative for estrogen receptor, progesterone receptor and HER2, the epidermal growth factor receptor type 2, account for 15-20% of breast cancers in women. There exists yet no targeted therapy for this aggressive, poor-prognosis subtype of breast cancer. Gene expression studies have shown that TN breast cancers are heterogeneous, with certain subtypes associated with a particular prognosis, which may possibly benefit from targeted therapies. We have shown that 68% of invasive mammary carcinomas in cats are TN, suggesting that cats are promising spontaneous animal models for future targeted therapy trials of these aggressive cancers.The hypothesis of the PhD thesis is that spontaneous TN mammary carcinomas of the cat (FMC) comprise, as in women, different subgroups with different prognoses (associated with a more or less unfavorable patient outcome) and with different therapeutic possibilities.180 cats, diagnosed with spontaneous invasive mammary carcinoma, were included in a retrospective study and analyzed by immunohistochemistry, to identify among other markers, AR, the androgen receptor, basal cytokeratins and the regulatory T-cell marker FoxP3. The results obtained show that the cat spontaneously develops the equivalent of the "luminal-AR" and "basal immunosuppressed" subgroups of human TN breast cancers. This implies that future targeted therapies for triplenegative breast cancer could be tested for their efficacy and toxicity in the feline species, including antiandrogen therapeutic strategies or cancer immunotherapy, designed to improve the management of women with triple-negative breast cancer
Bonnet, Guillaume. "Stratification du risque cardio-vasculaire et de mortalité chez le patient transplanté cardiaque." Electronic Thesis or Diss., Université Paris Cité, 2021. http://www.theses.fr/2021UNIP5251.
Full textMore than 5000 heart transplants are performed each year worldwide, with a median post-transplant survival of more than 12 years. Risk stratification of post-transplant outcomes has become a priority for the transplant community, particularly in the face of the new French allocation system and following the recent revision of the US cardiac allocation system. The objective of this work was to identify ways to improve the risk stratification of cardiovascular events and mortality in heart transplant patients. First, in our analysis of a contemporary United Network for Organ Sharing (UNOS) cohort, we showed that circulatory support status at the time of transplantation was associated with large differences in patient characteristics and prognosis, and influenced post-transplant predictive models. However, the development of specific predictive models for each type of circulatory support had a limited impact on the statistical performance of the predictive models. Beyond the limitations that these approaches may represent on large national databases (low level of granularity with the absence of immunological data, missing data in the follow-up), we have constituted a multicentric and highly phenotyped prospective Ile-de-France database of heart transplant patients. Within this specific population and following a detailed medical review of the causes of death, our results showed that sudden death was a large cause of death beyond the first year post-transplant. We demonstrated that the annual incidence of sudden death was 25 times higher than in the general population. The risk of sudden death was significantly higher in younger recipients. Five variables were independently associated with sudden death: older donor age, younger recipient age, ethnicity, pre-existing donor-specific antibodies and left ventricular ejection fraction. Our results provide new insights into the epidemiology of sudden death after heart transplantation. Finally, we identified, for the first time, 4 distinct trajectories of long-term progression of cardiac allograft vasculopathy using an innovative unsupervised approach. These 4 trajectories were consistent and validated in geographically distinct cohorts (Europe and USA). We found that these trajectories were associated with specific donor and recipient characteristics, ongoing disease processes including rejection, and early immunological profiles after transplantation. Thus, patient trajectory assessment that can be performed at an early stage after transplantation can optimise post-transplant risk stratification. These different avenues can lead to the development of new risk stratification tools, which can sometimes be transposed to daily practice. The identification of subgroups of high-risk patients would lead to more aggressive preventive strategies to improve overall long-term survival
Vernerey, Dewi. "Méthodologie statistique pour la prédiction du risque et la construction de score pronostique en transplantation rénale et en oncologie : une pierre angulaire de la médecine de précision." Thesis, Besançon, 2016. http://www.theses.fr/2016BESA3004/document.
Full textPrognosis is historically a basic concept of medicine. Hippocrates already considered the prognosis of disease as the study of the past circumstances, the establishment of the present state of health and finally the prediction of future events. He presented the prognosis as the ability to interpret these elements and to adapt the prognosis regarding their relative values. Currently, the prognostic research is still based on the examination of the relationship between a well-established health condition at the time of the investigation and the occurrence of an event. The increase in life expectancy implies that more and more people are living with one or more diseases or with problems that can impair their health status. In this context, the study of the prognosis has never been more important. However, in comparison with the field of randomized clinical trials in which the CONSORT statement recommendations are implemented for more than 20 years in order to guarantee quality research, the prognostic research only begins to develop similar initiatives. Indeed, in 2015 the TRIPOD statement recommendations were provided and in 2013 a working group called PROGRESS was constituted in the United Kingdom and its members made the observation that prognostic researches are developed with considerable heterogeneity in the methodology used and unfortunately do not always meet the quality standards required to support their conclusions and their reproducibility (...)
Winter, Audrey. "Modèles d'appariement du greffon à son hôte, gestion de file d'attente et évaluation du bénéfice de survie en transplantation hépatique à partir de la base nationale de l'Agence de la Biomédecine." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS024/document.
Full textLiver transplantation (LT) is the only life-saving procedure for liver failure. One of the major impediments to LT is the shortage of organs. To decrease organ shortage, donor selection criteria were expanded with the use of extended criteria donor (ECD). However, an unequivocal definition of these ECD livers was not available. To address this issue, an American Donor Risk Index (DRI) was developed to qualify those grafts. But to whom should those ECD grafts be given? Indeed, a proper use of ECD grafts could reduce organ shortage. The aim of this thesis is to establish a new graft allocation system which would allow each graft to be transplanted in the candidate whose LT will allow the greatest survival benefit; and to evaluate the matching between donors and recipients taking into account ECD grafts.The first step was the external validation of the DRI as well as the resultant Eurotransplant-DRI score. However, calibration and discrimination were not maintained on the French database. A new prognostic donor score: the DRI-Optimatch was then developed using a Cox donor model with adjustment on recipient covariates. The model was validated by bootstrapping with correction of the performance by the optimism.The second step was to explore the matching between donors and recipients in order to allocate ECD grafts optimally. Consideration should be given to the donor and recipient criteria, as assessed by the DRI-Optimatch and the Model for End-stage Liver Disease (MELD), respectively. The sequential stratification method retained is based on the randomized controlled trial principle. We then estimated, through hazard ratios, the survival benefit for different categories of MELD and DRI-Optimatch compared against the group of candidates remaining on the wait list (WL) and waiting for a transplant with a graft of better quality (lower DRI-Optimatch).In the third step, we have developed an allocation system based on survival benefit combining the two main principles in graft allocation; urgency and utility. In this system, a graft is allocated to the patient with the greatest difference between the predicted post-transplant life and the estimated waiting time for a specific donor. This model is mainly based on two Cox models: pre-LT and post-LT. In these two models the event of interest being the death of the patient, for the pre-graft model, the dependent censoring was taken into account. Indeed, on the WL, death is often censored by another event: transplantation. A method derived from Inverse Probability of Censoring Weighting was used to weight each observation. In addition, longitudinal data and survival data were also used. A partly conditional model, to estimate the effect of time-dependent covariates in the presence of dependent censoring, was therefore used for the pre-LT model.After developing a new allocation system, the fourth and final step was to evaluate it through Discrete Event Simulation (DES)