The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Colonization of medical devices by staphylococci
Open accessAbstract
Summary: The use of medical devices in modern medicine is constantly increasing. Despite the multiple precautionary strategies that are being employed in hospitals, which include increased hygiene and sterilization measures, bacterial infections on these devices still happen frequently. Staphylococci are among the major causes of medical device infection. This is mostly due to the strong capacity of those bacteria to form device‐associated biofilms, which provide resistance to chemical and physical treatments as well as attacks by the host's immune system. Biofilm development is a multistep process with specific factors participating in each step. It is tightly regulated to provide a balance between biofilm expansion and detachment. Detachment from a biofilm on a medical device can lead to severe systemic infection, such as bacteremia and sepsis. While our understanding of staphylococcal biofilm formation has increased significantly and staphylococcal biofilm formation on medical devices is among the best understood biofilm‐associated infections, the extensive effort put in preclinical studies with the goal to find novel therapies against staphylococcal device‐associated infections has not yet resulted in efficient, applicable therapeutic options for that difficult‐to‐treat type of disease.
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Cites
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Cited by
Sharma, S., Mohler, J., Mahajan, S. D., Schwartz, S. A., Bruggemann, L., & Aalinkeel, R. (2023) · Microorganisms · doi:10.3390/microorganisms11061614 · Cited by 993
Metadata
- Authors
- Zheng, Y., He, L., Asiamah, T. K., & Otto, M.
- Venue
- Environmental Microbiology
- Publisher
- Wiley
- Published
- 2018-05-06
- Volume
- 20
- Issue
- 9
- Pages
- 3141-3153
- ISSN
- 1462-2912 (ISSN-L)
- 1462-2920
- OpenAlex
- W2797427110
- Cited by
- 168
- References
- 12
- FWCI
- 3.30
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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