| Title |
Continued expansion of USA300-like methicillin-resistant Staphylococcus aureus (MRSA) among hospitalized patients in the United States
|
|---|---|
| Published in |
Diagnostic Microbiology & Infectious Disease, May 2017
|
| DOI | 10.1016/j.diagmicrobio.2017.04.016 |
| Pubmed ID | |
| Authors |
Isabella A. Tickler, Richard V. Goering, Jose R. Mediavilla, Barry N. Kreiswirth, Fred C. Tenover, for the HAI Consortium |
| Abstract |
We characterized spa types, SCCmec types, and antimicrobial resistance patterns of 516 methicillin-resistant Staphylococcus aureus (MRSA) isolates, collected between 2011 and 2014 from nares and blood cultures of United States patients. Among nares isolates, 45 spa types were observed; 29.9% were t002/SCCmec II and 30.9% were t008/SCCmec IV. Among blood isolates, 40 spa types were identified; 24.4% were t002/SCCmec II and 39.9% were type t008/SCCmec IV. Compared to data from our 2009-2010 survey, the percentage of t008/SCCmec IV isolates from nares increased significantly (20.4%-30.9%; P=0.004) while the percentage from positive blood cultures remained similar (39.2% versus 39.9%; P=0.921). There were also significant changes in the overall antimicrobial resistance patterns observed, including the decrease of the clindamycin, erythromycin, levofloxacin and moxifloxacin multidrug resistance pattern, likely the result of t002/SCCmec II strains being displaced by t008/SCCmec IV strains. Rates of high-level mupirocin resistance did not change significantly from our past study (4.1% compared to 4.7%; P=0.758) but an increase in low-level resistance, particularly among t002/SCCmec II isolates, was observed. |
Login to access the Attention Digest and the Sentiment Analysis related to this output.
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Master | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Lecturer | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 10 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 6 | 16% |
| Medicine and Dentistry | 6 | 16% |
| Agricultural and Biological Sciences | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 11 | 30% |