Title |
Bench-to-bedside review: Rapid molecular diagnostics for bloodstream infection - a new frontier?
|
---|---|
Published in |
Critical Care, May 2012
|
DOI | 10.1186/cc11202 |
Pubmed ID | |
Authors |
Arash Afshari, Jacques Schrenzel, Margareta Ieven, Stephan Harbarth |
Abstract |
ABSTRACT: Among critically ill patients, the diagnosis of bloodstream infection poses a major challenge. Current standard bacterial identification based on blood culture platforms is intrinsically time-consuming and slow. The continuous evolvement of molecular techniques has the potential of providing a faster, more sensitive and direct identification of causative pathogens without prior need for cultivation. This may ultimately impact clinical decision-making and antimicrobial treatment. This review summarises the currently available technologies, their strengths and limitations and the obstacles that have to be overcome in order to develop a satisfactory bedside point-of-care diagnostic tool for detection of bloodstream infection. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 25% |
United States | 1 | 25% |
Spain | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
Indonesia | 1 | <1% |
Brazil | 1 | <1% |
South Africa | 1 | <1% |
United Kingdom | 1 | <1% |
Denmark | 1 | <1% |
Spain | 1 | <1% |
Greece | 1 | <1% |
United States | 1 | <1% |
Other | 0 | 0% |
Unknown | 213 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 20% |
Researcher | 32 | 14% |
Student > Master | 22 | 10% |
Student > Bachelor | 21 | 9% |
Student > Postgraduate | 14 | 6% |
Other | 39 | 18% |
Unknown | 50 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 57 | 26% |
Agricultural and Biological Sciences | 35 | 16% |
Biochemistry, Genetics and Molecular Biology | 17 | 8% |
Engineering | 16 | 7% |
Immunology and Microbiology | 9 | 4% |
Other | 28 | 13% |
Unknown | 60 | 27% |