| Title |
Strain, disinfectant, concentration, and contact time quantitatively impact disinfectant efficacy
|
|---|---|
| Published in |
Antimicrobial Resistance & Infection Control, April 2018
|
| DOI | 10.1186/s13756-018-0340-2 |
| Pubmed ID | |
| Authors |
Alyssa M. West, Peter J. Teska, Caitlinn B. Lineback, Haley F. Oliver |
| Abstract |
Transmission of healthcare-associated infections caused by antibiotic- and multi-drug resistant (MDR) pathogens (e.g. Methicillin-resistant Staphylococcus aureus (MRSA), Pseudomonas aeruginosa) are a major concern in patient care facilities. Disinfectant usage is critical to control and prevent pathogen transmission, yet the relationships among strain, disinfectant type, contact time, and concentration are not well-characterized. We hypothesized that there would be significant differences in disinfectant efficacy among clinically relevant strains under off-label disinfectant conditions, but there would be less no differences among at registered label use concentrations and contact times. The purpose of this study was to quantify the effect of disinfectant concentration and contact time on the bactericidal efficacy of clinically relevant strains of S. aureus and P. aeruginosa. Accelerated hydrogen peroxide (AHP), quaternary ammonium compounds (Quat), and sodium hypochlorite were tested at label and reduced contact times and concentrations against four MDR P. aeruginosa strains and four MRSA strains. Quantitative EPA method MB-25-02 was used to measure disinfectant efficacy reported as log10 reduction. Both off-label disinfectant concentrations and contact times significantly affected efficacy of all disinfectants tested. Bactericidal efficacy varied among MRSA and P. aeruginosa strains. The quantitative disinfectant efficacy method used highlights the inter-strain variability that exists within a bacterial species. It also underscores the need for a disinfectant validation method that takes these variances into account. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 17 | 16% |
| Researcher | 11 | 10% |
| Student > Master | 11 | 10% |
| Student > Ph. D. Student | 10 | 10% |
| Unspecified | 4 | 4% |
| Other | 12 | 11% |
| Unknown | 40 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 8 | 8% |
| Medicine and Dentistry | 8 | 8% |
| Agricultural and Biological Sciences | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Veterinary Science and Veterinary Medicine | 5 | 5% |
| Other | 24 | 23% |
| Unknown | 47 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 April 2018.
All research outputs
#14,035,952
of 24,003,070 outputs
Outputs from Antimicrobial Resistance & Infection Control
#840
of 1,347 outputs
Outputs of similar age
#168,631
of 332,450 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#32
of 41 outputs
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