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  • 1
    Digitale Medien
    Digitale Medien
    Penicillium marneffei infection: an underdiagnosed disease? (1988)
    Oxford, UK : Blackwell Publishing Ltd
    Histopathology 13 (1988), S. 0 
    Details
    ISSN: 1365-2559
    Quelle: Blackwell Publishing Journal Backfiles 1879-2005
    Thema: Medizin
    Notizen: Penicillium marneffei is a rare human pathogen that often causes problems in clinical and histological diagnosis. A patient who presented with autoimmune haemolytic anaemia and hepatosplenomegaly, and was subsequently found to be suffering from disseminated Penicillium marneffei infection, is reported. The liver biopsy showed epithelioid cell granulomas only, and tuberculosis was initially considered the most likely diagnosis. The correct diagnosis became evident in a subsequent colonic biopsy, which showed extensive infiltration by penicillium-laden macrophages.
    Materialart: Digitale Medien
    URL: http://dx.doi.org/10.1111/j.1365-2559.1988.tb02041.x
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  • 2
    Digitale Medien
    Digitale Medien
    Comparison of E-test with agar dilution for determining susceptibility ofStreptococcus pneumoniae to penicillin (1997)
    Springer
    European journal of clinical microbiology & infectious diseases 16 (1997), S. 608-610 
    Details
    ISSN: 1435-4373
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Medizin
    Notizen: Abstract Minimum inhibitory concentrations (MICs) of penicillin forStreptococcus pneumoniae were determined by the E-test and the agar dilution method. NinetyStreptococcus pneumoniae strains were tested, of which 16 were resistant, 33 intermediate, and 41 susceptible by agar dilution. By the E-test, 80 (88.9%) strains agreed with these determinations within one log2 dilution step, and no strains disagreed by more than two dilution steps. Sixty-eight of the 70 strains with discrepant MICs read lower in the E-test, resulting in 15 strains being placed in different susceptibility categories when classified by this test. Exact MICs rather than classification groups should be used to determine appropriate antibiotic therapy, since small differences in MICs determined by different methods can lead to a significant degree of misclassification.
    Materialart: Digitale Medien
    URL: http://dx.doi.org/10.1007/BF02447927
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