309 research outputs found

    Construction géohistorique du "sauvage" de la Garonne toulousaine : quelle part de naturalisé dans les paysages fluviaux ? part. 1

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    International audienceThe Garonne between Toulouse and the confluence of the Tarn is composed of many wetlands. Here, v arious protective dev ices would label a "wild" dim ension to the river, supporting its maintenance and conservation without actually questioning their original condition. Given this situation, how to consider the part of naturalness of river landscapes of the Garonne today ? According to managers, the Garonne has a strong image of "wild" river while geohistorical heritage rather shows Garonne im pacted by human activities. This work explores the meaning of the gap between the reality and geohistorical conveyed by contemporary representations of the river.La Garonne toulousaine (entre Toulouse et la confluence du Tarn) est composée de nombreuses annexes fluviales : bras-morts, zones humides et ripisylves. Ici, différents dispositifs de protection labellisent une dimension « sauvage » pour le fleuve, favorisant son maintien et sa conserv ation sans réellement s'interroger sur leur état d'origine. Face à ce constat, com m ent considérer la part de naturalité des paysages fluviaux de la Garonne toulousaine aujourd'hui ? Au dire des gestionnaires, la Garonne possÚde une image forte de fleuve « sauvage » alors que l'héritage géohistorique montre plutÎt une Garonne impactée par les activités humaines. Ce travail interroge le sens du décalage entre cette réalité géohistorique et l'image véhiculée par les représentations contemporaines du fleuve

    Age and quality of in-hospital care of patients with heart failure

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    Background: Elderly patients may be at risk of suboptimal care. Thus, the relationship between age and quality of care for patients hospitalized for heart failure was examined. Methods: A cross-sectional study based on retrospective chart review was performed among a random sample of patients hospitalized between 1996 and 1998 in the general internal medicine wards, with a principal diagnosis of congestive heart failure, and discharged alive. Explicit criteria of quality of care, grouped into three scores, were used: admission work-up (admission score); evaluation and treatment during the stay (evaluation and treatment score); and readiness for discharge (discharge score). The associations between age and quality of care scores were analysed using linear regression models. Results: Charts of 371 patients were reviewed. Mean age was 75.7 (±11.1) years and 52% were men. There was no relationship between age and admission or readiness for discharge scores. The evaluation and treatment score decreased with age: compared with patients less than 70 years old, the score was lower by −2.6% (95% CI: −7.1 to 1.9) for patients aged 70 to 79, by −8.7% (95% CI: −13.0 to −4.3) for patients aged 80 to 89, and by −19.0% (95% CI: −26.6 to −11.5) for patients aged 90 and over. After adjustment for possible confounders, this relationship was not significantly modified. Conclusions: In patients hospitalized for congestive heart failure, older age was not associated with lower quality of care scores except for evaluation and treatment. Whether this is detrimental to elderly patients remains to be evaluate

    Sudden Onset of Pseudotuberculosis in Humans, France, 2004–05

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    Cases of Yersinia pseudotuberculosis infection increased in France during the winter of 2004–05 in the absence of epidemiologic links between patients or strains. This increase represents transient amplification of a pathogen endemic to the area and may be related to increased prevalence of the pathogen in rodent reservoirs

    Growth of Yersinia pseudotuberculosis in human plasma: impacts on virulence and metabolic gene expression

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    <p>Abstract</p> <p>Background</p> <p>In man, infection by the Gram-negative enteropathogen <it>Yersinia pseudotuberculosis </it>is usually limited to the terminal ileum. However, in immunocompromised patients, the microorganism may disseminate from the digestive tract and thus cause a systemic infection with septicemia.</p> <p>Results</p> <p>To gain insight into the metabolic pathways and virulence factors expressed by the bacterium at the blood stage of pseudotuberculosis, we compared the overall gene transcription patterns (the transcriptome) of bacterial cells cultured in either human plasma or Luria-Bertani medium. The most marked plasma-triggered metabolic consequence in <it>Y. pseudotuberculosis </it>was the switch to high glucose consumption, which is reminiscent of the acetogenic pathway (known as "glucose overflow") in <it>Escherichia coli</it>. However, upregulation of the glyoxylate shunt enzymes suggests that (in contrast to <it>E. coli</it>) acetate may be further metabolized in <it>Y. pseudotuberculosis</it>. Our data also indicate that the bloodstream environment can regulate major virulence genes (positively or negatively); the <it>yadA </it>adhesin gene and most of the transcriptional units of the pYV-encoded type III secretion apparatus were found to be upregulated, whereas transcription of the pH6 antigen locus was strongly repressed.</p> <p>Conclusion</p> <p>Our results suggest that plasma growth of <it>Y. pseudotuberculosis </it>is responsible for major transcriptional regulatory events and prompts key metabolic reorientations within the bacterium, which may in turn have an impact on virulence.</p

    A predictive score to identify hospitalized patients' risk of discharge to a post-acute care facility

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    <p>Abstract</p> <p>Background</p> <p>Early identification of patients who need post-acute care (PAC) may improve discharge planning. The purposes of the study were to develop and validate a score predicting discharge to a post-acute care (PAC) facility and to determine its best assessment time.</p> <p>Methods</p> <p>We conducted a prospective study including 349 (derivation cohort) and 161 (validation cohort) consecutive patients in a general internal medicine service of a teaching hospital. We developed logistic regression models predicting discharge to a PAC facility, based on patient variables measured on admission (day 1) and on day 3. The value of each model was assessed by its area under the receiver operating characteristics curve (AUC). A simple numerical score was derived from the best model, and was validated in a separate cohort.</p> <p>Results</p> <p>Prediction of discharge to a PAC facility was as accurate on day 1 (AUC: 0.81) as on day 3 (AUC: 0.82). The day-3 model was more parsimonious, with 5 variables: patient's partner inability to provide home help (4 pts); inability to self-manage drug regimen (4 pts); number of active medical problems on admission (1 pt per problem); dependency in bathing (4 pts) and in transfers from bed to chair (4 pts) on day 3. A score ≄ 8 points predicted discharge to a PAC facility with a sensitivity of 87% and a specificity of 63%, and was significantly associated with inappropriate hospital days due to discharge delays. Internal and external validations confirmed these results.</p> <p>Conclusion</p> <p>A simple score computed on the 3rd hospital day predicted discharge to a PAC facility with good accuracy. A score > 8 points should prompt early discharge planning.</p
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