Title |
Application of the multifactor dimensionality reduction method in evaluation of the roles of multiple genes/enzymes in multidrug-resistant acquisition in Pseudomonas aeruginosa strains
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Published in |
Epidemiology & Infection, August 2015
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DOI | 10.1017/s0950268815001788 |
Pubmed ID | |
Authors |
Z. YAO, Y. PENG, J. BI, C. XIE, X. CHEN, Y. LI, X. YE, J. ZHOU |
Abstract |
Multidrug-resistant Pseudomonas aeruginosa (MDRPA) infections are major threats to healthcare-associated infection control and the intrinsic molecular mechanisms of MDRPA are also unclear. We examined 348 isolates of P. aeruginosa, including 188 MDRPA and 160 non-MDRPA, obtained from five tertiary-care hospitals in Guangzhou, China. Significant correlations were found between gene/enzyme carriage and increased rates of antimicrobial resistance (P < 0·01). gyrA mutation, OprD loss and metallo-β-lactamase (MBL) presence were identified as crucial molecular risk factors for MDRPA acquisition by a combination of univariate logistic regression and a multifactor dimensionality reduction approach. The MDRPA rate was also elevated with the increase in positive numbers of those three determinants (P < 0·001). Thus, gyrA mutation, OprD loss and MBL presence may serve as predictors for early screening of MDRPA infections in clinical settings. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 4 | 22% |
Student > Bachelor | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Lecturer > Senior Lecturer | 1 | 6% |
Professor | 1 | 6% |
Other | 2 | 11% |
Unknown | 6 | 33% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 5 | 28% |
Agricultural and Biological Sciences | 2 | 11% |
Nursing and Health Professions | 1 | 6% |
Computer Science | 1 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 44% |