6 research outputs found

    Instrumentation mĂ©canique des conduits radiculaires. Une Ă©tude Ă  l’aide du M.E.B. et analyse informatisĂ©e d’image

    Get PDF
    The effectiveness of ultrasonic and sonic instrumentation in eliminating the smear layer from instrumented root channels. The results were examined with S.E.M. and the effective areas of dental diffusion were calculated using the computerized image analyzer. The agents used: citric acid at concentrations of 10, 25 and 50% as well as 15% EDTA, proved their efficiency with both types of mechanical instrumentation. However, the area of diffusion found was always greater using the ultrasonic instrumentation technique as opposed to the sonic instrumentation technique. 1, 2.5 and 5.25% sodium hypochlorite, as well as 10 volume hydrogen peroxide were not effective in eliminating the smear layer using both types of instrumentation.Nous Ă©tudions l’efficacitĂ© de l’instrumentation ultrasonique et sonique pour Ă©liminer la boue dentinaire des conduits radiculaires instrumentĂ©s. Les rĂ©sultats ont Ă©tĂ© objectivĂ©s au moyen du M.E.B. et nous avons calculĂ© les aires effectives de diffusion dentinaire avec l’analyseur d’images. Les agents employĂ©s: acide citrique Ă  10, 25 et 50% de concentration, ainsi que l’EDTA Ă  15% ont confirmĂ© leur efficacitĂ© avec les deux types d’instrumentation mĂ©canique. Cependant l’aire de diffusion vĂ©rifiĂ©e, est toujours supĂ©rieure avec la technique d’instrumentation ultrasonique par rapport Ă  la technique d’instrumentation sonique. L’hypochlorite sodique Ă  1, 2,5 et 5,25%; ainsi que l’eau oxygĂ©nĂ©e Ă  10 volumes, se sont avĂ©rĂ©s inefficaces dans l’élimination de la boue dentinaire avec les deux types d’instrumentation

    Aire de diffusion dentinaire lors de la préparation manuelle des conduits radiculaires

    No full text
    The purpose of this study is to show the existence of a correlation between the premolar and molar clenching forces obtained during a voluntary clenching exercise. The study concerned 32 volunteers aged 21 to 28 with no manducatory problems. The forces were obtained using a device with four Kiowa traducers arranged in a complete Wheatstone bridge. The analysis of the results obtained showed that there was a positive correlation between maximum molar and premolar. The analysis also shows that these results are a direct application of the theory of momentum. This enables us to propose a simple biophysical model to explain the functioning of the mandicatory system.Le but de cette Ă©tude est de dĂ©montrer l’existence d’une corrĂ©lation entre les forces prĂ©molaires et molaires enregistrĂ©es pendant un exercice de fermeture volontaire forcĂ©e de la mandibule. L’étude porte sur 32 volontaires de 21 Ă  28 ans, sans pathologie de l’appareil manducateur. Les forces sont enregistrĂ©es avec un capteur Ă  quatre jauges Kiowa montĂ© en pont complet. La possibilitĂ© d’appliquer le thĂ©orĂšme des moments aux valeurs recueillies, montre qu’il existe une corrĂ©lation positive entre la force maximale dĂ©veloppĂ©e au niveau prĂ©molaire et la force maximale dĂ©veloppĂ©e au niveau molaire. Ceci nous permet de proposer un modĂšle biophysique simple pour expliquer le fonctionnement de l’appareil manducateur

    Delay in diagnosis of influenza A (H1N1)pdm09 virus infection in critically ill patients and impact on clinical outcome

    Get PDF
    Background: Patients infected with influenza A (H1N1)pdm09 virus requiring admission to the ICU remain an important source of mortality during the influenza season. The objective of the study was to assess the impact of a delay in diagnosis of community-acquired influenza A (H1N1)pdm09 virus infection on clinical outcome in critically ill patients admitted to the ICU. Methods: A prospective multicenter observational cohort study was based on data from the GETGAG/SEMICYUC registry (2009–2015) collected by 148 Spanish ICUs. All patients admitted to the ICU in which diagnosis of influenza A (H1N1)pdm09 virus infection had been established within the first week of hospitalization were included. Patients were classified into two groups according to the time at which the diagnosis was made: early (within the first 2 days of hospital admission) and late (between the 3rd and 7th day of hospital admission). Factors associated with a delay in diagnosis were assessed by logistic regression analysis. Results: In 2059 ICU patients diagnosed with influenza A (H1N1)pdm09 virus infection within the first 7 days of hospitalization, the diagnosis was established early in 1314 (63.8 %) patients and late in the remaining 745 (36.2 %). Independent variables related to a late diagnosis were: age (odds ratio (OR) = 1.02, 95 % confidence interval (CI) 1.01–1.03, P < 0.001); first seasonal period (2009–2012) (OR = 2.08, 95 % CI 1.64–2.63, P < 0.001); days of hospital stay before ICU admission (OR = 1.26, 95 % CI 1.17–1.35, P < 0.001); mechanical ventilation (OR = 1.58, 95 % CI 1.17–2.13, P = 0.002); and continuous venovenous hemofiltration (OR = 1.54, 95 % CI 1.08–2.18, P = 0.016). The intra-ICU mortality was significantly higher among patients with late diagnosis as compared with early diagnosis (26.9 % vs 17.1 %, P < 0.001). Diagnostic delay was one independent risk factor for mortality (OR = 1.36, 95 % CI 1.03–1.81, P < 0.001). Conclusions: Late diagnosis of community-acquired influenza A (H1N1)pdm09 virus infection is associated with a delay in ICU admission, greater possibilities of respiratory and renal failure, and higher mortality rate. Delay in diagnosis of flu is an independent variable related to death
    corecore