Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ LAReferencia - Red F...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 1 versions
addClaim

Staphylococcus spp. in Bloodstream Infections

Authors: Monteiro, Aydir Cecília Marinho; de Lourdes Ribeiro de Souza da Cunha, Maria;

Staphylococcus spp. in Bloodstream Infections

Abstract

Bloodstream infections (BSIs) have gained importance due to the increase in their incidence in recent years. BSIs increase the length of hospital stay, the costs associated and the patients' morbidity and mortality rates. Early diagnosis, in addition to the identification of the microorganism and its sensitivity to antimicrobial agents, has great diagnostic and prognostic importance. Several microorganisms are isolated in the bloodstream; however, multicenter studies have found Staphylococcus aureus and coagulase-negative staphylococci (CoNS) as the major etiological agents of bloodstream infections in recent decades. The examination of blood cultures is the primary means of etiological diagnosis available in clinical practice, although the step of identifying these microorganisms by conventional methods is a lengthy process. Automation is a fast and reliable option from studies that show improved performance of automated equipment, but such equipment is still not able to accurately identify the different species of CoNS because of either the slow metabolism of sugars or the variable expressions of the phenotypic traits of some of these species. The use of molecular biology techniques for bacterial identification in such cases is a solution because the results obtained are fast, accurate and sensitive, and also because the identifications performed with DNA extracted directly from blood cultures decrease the duration of the identification process significantly. This chapter aims at discussing the prevalence of Staphylococcus aureus and CoNS in BSIs by highlighting the automation techniques and molecular biology techniques as alternatives for the fast and accurate identification of Staphylococcus spp., which allows the quick start of a specific treatment.

Country
Brazil
Keywords

610

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities