Statins in Candidemia: clinical outcomes from a matched cohort study

<p>Abstract</p> <p>Background</p> <p>HMG CoA reductase inhibitors (statins) in patients with bacteremic sepsis have shown significant survival benefits in several studies. There is no data on the effect of statins in candidemic patients, however in-vitro models suggest that statins interfere with ergesterol formation in the wall of yeasts.</p> <p>Methods</p> <p>This retrospective matched- cohort study from 1/2003 to 12/2006 evaluated the effects of statins on patients with candidemia within intensive care units. Statin-users had candidemia as a cause of their systemic inflammatory response and were on statins throughout their antifungal therapy, while non-statin users were matched based on age +/- 5 years and co-morbid factors. Primary analysis was 30-day survival or discharge using bivariable comparisons. Multivariable comparisons were completed using conditional logistic regression. All variables with a p-value less than 0.10 in the bivariable comparisons were considered for inclusion in the conditional logistic model.</p> <p>Results</p> <p>There were 15 statin-users and 30 non-statin users that met inclusion criteria, all with similar demographics and co-morbid conditions except the statin group had more coronary artery disease (P < 0.01) and peripheral vascular disease (P = 0.03) and lower median APCAHE II scores (14.6 vs 17, p = 0.03). There were no differences in duration of candidemia, antifungal therapy or <it>Candida </it>species between the groups. Statins were associated with lower mortality on bivariable (OR 0.09, 95% CI 0.11-0.75, p = 0.03) and multivariable (OR 0.22, 95% CI 0.02-2.4, p = 0.21) analyses compared to controls; although, in the latter the protective effect lacked statistical signficance.</p> <p>Conclusion</p> <p>In our small, single-center matched-cohort study, statins may provide a survival benefit in candidemia, however further studies are warranted to validate and further explore this association.</p

Beeinflussung des Sekundaerstoffwechsels von Pflanzen durch gentechnischer Veraenderungen und potentielle Auswirkungen auf Ziel- und Nichtzielorganismen

SIGLEAvailable from TIB Hannover: RN 8908(2000,225) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekBundesministerium fuer Bildung und Forschung, Berlin (Germany)DEGerman

Rechnerunterstuetztes Konstruieren mit PROREN. Bd. 2

TIB Hannover: RN 7998(86,2.2) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

Rechnerunterstuetztes Konstruieren mit PROREN. Bd. 2

TIB Hannover: RN 7998(86,2.2) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

HOLT 3 - Nutzung hochaufloesender Satellitendaten fuer Aufgaben der Landwirtschaftsverwaltung Thueringens Abschlussbericht

Aim of the project: Introduction of innovative Remote Sensing and GIS Technologies in the field of agriculture. Tasks: Utilisation of panchromatic and multispectral satellite data for the development of the methods for the establishment of a Digital Field Map (DFM) uniform for the whole country, for mapping erosion damages on the base of satellite data, for mapping of meadown and pasture land for agricultural aims, for localisation and characterisation of field heterogeneities for agricultural aims. Project results: - High resolution satellite data (KVR-1000, IRS-1C) represented important instruments for the development of DFM methods and the establishment of map prototypes. An operational data application requires a high data update and data resolution (&lt;1 m). For the statistics of erosion appearances panchromatic images of &lt;1 m resolution taken directly before and after the erosion event and additional stereo images or relief data (DGM, &lt;10 m) are required. - For an operational mapping of meadow and pasture land the automatic multispectral classification including rough LF or outsourcing masks is sitable. Spectrally higher resolved, monosensoral satellite image time series and additional information levels (ATKIS data, DHM and others) are the preferred data base. The identification of field heterogeneitties with a higher position accuracy compared to existing ground maps and their improved characterisation by means of satellite data requires image taking times following in brief intervals to each other (clouds, changes of the subject) and a ground resolution of the satellite data of 1-2 m (mapped ground areas in MMK beginning at 5 m, in RSB 1-2 m). Conclusion: The significance of the satellite-added remote sensing for Thuringians agriculture (agricultural administration and practice) will increase in the first line by the coming operational application of the DFM and thanks to tailor-made supply of satellite data (higher resolution, more usable image-taking, quick access). (orig.)SIGLEAvailable from TIB Hannover: F00B606 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDLR Deutsches Zentrum fuer Luft- und Raumfahrt e.V., Bonn (Germany); Bundesministerium fuer Bildung und Forschung (BMBF), Bonn (Germany)DEGerman