| Title |
Carbapenem-resistant Acinetobacter baumannii and Pseudomonas aeruginosa: characterization of carbapenemase genes and E-test evaluation of colistin-based combinations
|
|---|---|
| Published in |
Infection and Drug Resistance, August 2018
|
| DOI | 10.2147/idr.s170233 |
| Pubmed ID | |
| Authors |
Raghdaa A Ramadan, Manar G Gebriel, Heba M Kadry, Ahmed Mosallem |
| Abstract |
Carbapenamase producing Acinetobacter baumannii and Pseudomonas aeruginosa are emerging worldwide limiting the use of carbapenems as effective and safe drugs. To characterize different carbapenemase genes carried by carbapenem-resistant (CR) A. baumannii and P. aeruginosa isolates and to evaluate the in vitro effect of some colistin-based combinations by E-test method in Zagazig University Hospitals ICU isolates. CR A. baumannii and P. aeruginosa isolated from the surgical intensive care unit (ICU) were tested for carbapenemase genes by polymerase chain reaction and the effect of colistin/meropenem and colistin/tigecycline combinations was evaluated by E-test. Genes coding for OXA-23, NDM and GES were detected in 90, 66.7 and 50% of CR A. baumannii, respectively, while genes coding for VIM, GES, NDM and IMP were detected in 50, 40.9, 27.3 and 18.2% of CR P. aeruginosa, respectively. Colistin/tigecycline combination showed synergistic and additive effect in 20% and 60% of A. baumannii isolates, respectively, while colistin/meropenem combination showed synergistic and additive effect in 63.6% and 36.4% of P. aeruginosa, respectively. Carbapenemase genes carriage accounts for high level carbapenem resistance in our isolates. Colistin/tigecycline and colistin/meropenem combinations can be considered for treatment of severe infections by CR A. baumannii and P. aeruginosa, respectively. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 13% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Bachelor | 7 | 8% |
| Researcher | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Other | 16 | 18% |
| Unknown | 32 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 18% |
| Immunology and Microbiology | 14 | 16% |
| Biochemistry, Genetics and Molecular Biology | 8 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 6 | 7% |
| Unknown | 35 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 September 2018.
All research outputs
#15,283,983
of 24,701,594 outputs
Outputs from Infection and Drug Resistance
#556
of 1,975 outputs
Outputs of similar age
#185,049
of 335,829 outputs
Outputs of similar age from Infection and Drug Resistance
#25
of 57 outputs
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We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.