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Academic literature on the topic 'Prédiction de la mortalité et de la durée de séjour'
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Journal articles on the topic "Prédiction de la mortalité et de la durée de séjour"
Hirdes, John P., and K. Stephen Brown. "A Survival Analysis of Institutional Relocation in a Chronic Care Hospital." Canadian Journal on Aging / La Revue canadienne du vieillissement 15, no. 4 (1996): 514–24. http://dx.doi.org/10.1017/s0714980800009399.
Full textBlanc, P., and C. Breton. "Le court-circuit gastrique par cœlioscopie avec robot assistance au cours de la période d’apprentissage : étude prospective." Obésité 14, no. 3 (September 2019): 92–97. http://dx.doi.org/10.3166/obe-2019-0066.
Full textChalasani, Venu, Carlos H. Martinez, Darwin Lim, Reem Al Bareeq, Geoffrey R. Wignall, Larry Stitt, and Stephen E. Pautler. "Impact of body mass index on perioperative outcomes during the learning curve for robot-assisted radical prostatectomy." Canadian Urological Association Journal 4, no. 4 (April 17, 2013): 250. http://dx.doi.org/10.5489/cuaj.875.
Full textThibon, E., X. Bobbia, B. Blanchard, T. Masia, L. Palmier, L. Tendron, J. E. de La Coussaye, and P. G. Claret. "Association entre mortalité et attente aux urgences chez les adultes à hospitaliser pour étiologies médicales." Annales françaises de médecine d’urgence 9, no. 4 (April 21, 2019): 229–34. http://dx.doi.org/10.3166/afmu-2019-0151.
Full textMazen, E., A. Musat, L. Popitean, A. Camus, O. Bouchot, M. David, and P. Pfitzenmeyer. "Chirurgie cardiaque au CHU de Dijon : morbi-mortalité et durée moyenne de séjour chez le sujet âgé et très âgé." La Revue de Médecine Interne 29 (June 2008): S88—S89. http://dx.doi.org/10.1016/j.revmed.2008.03.160.
Full textLascarrou, Jean Baptiste, Wulfran Bougouin, Florence Dumas, Emmanuel Canet, Stéphane Legriel, François Javaudin, and Alain Cariou. "Les spécificités de l'arrêt cardiaque intra-hospitalier et sa prise en charge." Médecine Intensive Réanimation 31, no. 2 (June 16, 2022): 95–106. http://dx.doi.org/10.37051/mir-00096.
Full textDicko, Hammadoun, and Et Al. "Prévalence des infections associées aux soins en réanimation au Mali." Revue Malienne d'Infectiologie et de Microbiologie 17, no. 1 (April 30, 2022): 77–83. http://dx.doi.org/10.53597/remim.v17i1.2231.
Full textAlfandari, S. "Prévention des infections urinaires nosocomiales : effets de l’infection urinaire nosocomiale sur la durée de séjour, le coût et la mortalité." Médecine et Maladies Infectieuses 33 (September 2003): 247–54. http://dx.doi.org/10.1016/s0399-077x(03)00155-0.
Full textSaoud, M. "Comment mieux valoriser notre activité en psychiatrie de liaison ?" European Psychiatry 29, S3 (November 2014): 586. http://dx.doi.org/10.1016/j.eurpsy.2014.09.299.
Full textKettaneh, A., N. Mario, L. Fardet, D. Flick, T. Fozing, K. Tiev, C. Tolédano, and J. Cabane. "Mortalité hospitalière et durée de séjour des patients non programmés en médecine interne: valeur pronostique de paramètres biochimiques usuels à l'admission." La Revue de Médecine Interne 28, no. 7 (July 2007): 443–49. http://dx.doi.org/10.1016/j.revmed.2007.02.003.
Full textDissertations / Theses on the topic "Prédiction de la mortalité et de la durée de séjour"
Cissoko, Mamadou Ben Hamidou. "Adaptive time-aware LSTM for predicting and interpreting ICU patient trajectories from irregular data." Electronic Thesis or Diss., Strasbourg, 2024. https://publication-theses.unistra.fr/restreint/theses_doctorat/2024/CISSOKO_MamadouBenHamidou_2024_ED269.pdf.
Full textIn personalized predictive medicine, accurately modeling a patient's illness and care processes is crucial due to the inherent long-term temporal dependencies. However, Electronic Health Records (EHRs) often consist of episodic and irregularly timed data, stemming from sporadic hospital admissions, which create unique patterns for each hospital stay. Consequently, constructing a personalized predictive model necessitates careful consideration of these factors to accurately capture the patient's health journey and assist in clinical decision-making. LSTM networks are effective for handling sequential data like EHRs, but they face two significant limitations: the inability to interpret prediction results and to take into account irregular time intervals between consecutive events. To address limitations, we introduce novel deep dynamic memory neural networks called Multi-Way Adaptive and Adaptive Multi-Way Interpretable Time-Aware LSTM (MWTA-LSTM and AMITA) designed for irregularly collected sequential data. The primary objective of both models is to leverage medical records to memorize illness trajectories and care processes, estimate current illness states, and predict future risks, thereby providing a high level of precision and predictive power
Dramé, Moustapha. "Analyse de la fragilité du sujet âgé au travers de la mortalité dans la cohorte SAFES (Sujet âgé fragile-évaluation et suivi)." Reims, 2009. http://www.theses.fr/2009REIMM202.
Full textNdir, Awa. "Epidémiologie et impact médico-économique des infections hospitaliéres causées par les Entérobactéries productrices de beta-lactamases à spectre étendu au Sénégal." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066668/document.
Full textInfections caused by Enterobacteriaceae producing extended-spectrum beta-lactamase (ESBL-E) are of major concern in clinical practice worldwide because of limited therapeutic options effective to treat them. Studies from Africa showed that ESBL are frequent in the continent, however the impact of these multidrug resistant infections is yet to be adequately determined. The aim of this thesis was to describe the epidemiological situation of ESBL-E in Senegal and to assess their clinical and economic impact. Methods : Two retrospective studies were carried out in inpatients from whom an Enterobacteriaceae strain was isolated from diagnostic samples drawn during a 6-month period (Study 1) and from blood cultures drawn within a 2-year period among pediatric patients (Study 2). Case-case-control studies were carried out to identify risk factors to acquire an ESBL-E infection. Patients infected by an ESBL-producing Enterobacteriaceae were defined as cases 1, those infected by an Enterobacteriaceae non-producer of ESBL were cases 2 and patients not infected by any bacterial strain were controls. Multivariable analyses using a stepwise logistic regression were performed to identify risk factors to acquire an ESBL-E infection and risk factors for death. Retrospective cohort analyses were performed to assess the prolonged length of stay attributable to ESBL production using a multistate model. Besides, a cost-of-illness analysis was performed to estimate the additional cost attributable to the prolonged length of stay. Results : Incidence rate of ESBL-infections was 3/1,000 patient-days (PD) and 1.5 cases/1,000 PD for bloodstream infections in children. Risk factors to acquire an ESBL infection were the presence of urinary catheter, central venous catheter and mechanical ventilation. Newborns were also identified as a patient- at risk to acquire an ESBL-E infection. ESBL production was identified as an independent risk factor for death. Besides, ESBL production was associated with an increased LOS (+4days) and cost (€100). Conclusion : Our findings show an important clinical and economic impact of ESBL infections in Senegal. Control of ESBL-E spread is an emergency especially in pediatric populations and can be achieved by the promotion of hand hygiene and proper management of excreta. Results also emphasize the need to revise current antibiotic prescriptions guidelines and to implement an antibiotic stewardship program to preserve the effectiveness of our last-resort antibiotic drugs
Dufresne, Philippe. "Impact du niveau de désignation des centres de traumatologie sur le délai chirurgical, la mortalité, les complications et la durée de séjour : une étude de cohorte multicentrique." Master's thesis, Université Laval, 2016. http://hdl.handle.net/20.500.11794/27487.
Full textFew studies have been conducted regarding the trajectories of patients with major hemorrhagic injuries and the potential benefit of level I/II care for these patients. We performed a retrospective cohort study based on a Canadian inclusive trauma system including adults in hemorrhagic shock in Quebec. We examined the influence of trauma center designation level on surgical delays, mortality, complications and length of stay. Examined patients were at least 18 years old, had systolic blood pressure < 90 mm Hg upon arrival at the ER and were operated on or died within the first six hours following arrival. About 52% of patients were directly admitted to a level I/II center and less than 10% of patients received treatment in level IV centers. A quarter of patients were treated within one hour of arrival. Results suggest that level IV centers do not perform better in terms of surgical delays (OR : 1.13; 95% CI: 0.53 – 2.41), may have higher mortality (OR : 1.84; 95% CI: 0.90 – 3.74), a lower incidence of complications (OR : 0.51; 95% CI: 0.24 – 1.12) and a shorter average length of stay (RR : 0.40; 95% CI: 0.29 – 0.55). This study represents an important step towards obtaining evidence-based information that can be used to enhance trauma system configuration to optimize outcomes in patients suffering hemorrhagic injuries.
Jomphe, Valérie. "Impact de l’évolution du statut nutritionnel durant l’attente d’une transplantation pulmonaire sur la mortalité postopératoire." Thèse, 2010. http://hdl.handle.net/1866/4474.
Full textThis study aims to assess the impact of nutritional status and its evolution while awaiting a lung transplant on the post-operative mortality and morbidity. We reviewed 209 consecutive cases of lung transplantation at the Centre Hospitalier de l’Universite de Montreal between 2000 and 2007 and looked at the mortality and rate of complications post-operatively according to BMI, intake of protein and energy, biochemical parameters and weight changes during the waiting period. The risk of death increased with increasing BMI strata with a relative risk of death during the hospital stay of 3,31 (IC95% 1,19-9,26) for BMI 25-29.9 and 8,83 (IC95% 2,98-26,18) for BMI ≥ 30 with a worse postoperative outcome in terms of surgical complications (p=0,003), length of stay in intensive care unit (p=0,031) and length of hospital stay (p<0,001) for patients with BMI ≥ 30 compared with patients of normal weight. Patients in whom the BMI evolved inadequately during the waiting period experienced a prolonged hospital stay (p=0,015). Patients whose intake was suboptimal in the pre-transplant period have also a prolonged hospital stay (p=0,002) and more infectious (p=0,038), digestives (p=0,003) and surgicals (p=0,029) complications but no detectable impact on the mortality. Our results suggest that obesity and overweight as well as inadequate changes of BMI during the waiting period and suboptimal protein-energy intakes negatively affect the outcome of lung transplantation.