Title |
Rapid nucleic acid diagnostics for the detection of antimicrobial resistance in Gram-negative bacteria: is it time for a paradigm shift?
|
---|---|
Published in |
Journal of Antimicrobial Chemotherapy (JAC), March 2014
|
DOI | 10.1093/jac/dku083 |
Pubmed ID | |
Authors |
Nina Tuite, Kate Reddington, Thomas Barry, Alimuddin Zumla, Virve Enne |
Abstract |
A key component for tackling the ever more serious antimicrobial resistance problem in Gram-negative bacteria is the introduction of rapid nucleic acid diagnostics. Successful incorporation of new diagnostic technologies has the potential benefit of improving not only patient treatment but also infection control and antimicrobial stewardship. However, there are still many hurdles to overcome, such as the complexity of resistance mechanisms in Gram-negative bacteria, the discrepancy between phenotype and genotype and the difficulty in distinguishing pathogens from background commensals. A small number of manufacturers have introduced tests to the market that concentrate partly or specifically on resistance determinants in Gram-negative bacteria. These are currently predominantly based on different types of PCR technology. The development of new technologies, such as whole-genome sequencing and the combination of MALDI-TOF with PCR, holds much promise for the introduction of improved diagnostics for the future. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 13% |
Spain | 1 | 13% |
United States | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 88% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Unknown | 125 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 20% |
Student > Ph. D. Student | 15 | 12% |
Other | 13 | 10% |
Student > Master | 11 | 9% |
Student > Bachelor | 11 | 9% |
Other | 28 | 22% |
Unknown | 23 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 23 | 18% |
Medicine and Dentistry | 22 | 17% |
Biochemistry, Genetics and Molecular Biology | 15 | 12% |
Immunology and Microbiology | 14 | 11% |
Engineering | 9 | 7% |
Other | 18 | 14% |
Unknown | 26 | 20% |