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Cited by 193

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Pathobiology of Infection in Prosthetic Devices

Dougherty, S. H.·1988·Clinical Infectious Diseases

Abstract

Because of the growing use of implants, infections in prosthetic devices are probably becoming commoner, even though the risk of infection remains low. Multiple factors appear to be involved in the development of these infections, including foreign body-associated tissue damage, impairment of host defenses, bacterial trapping by fibrin, sequestration of bacteria in implant interstices, and the generation of a biofilm on implant surfaces. Although there is a direct association between the tissue reactivity of implants and their ability to potentiate infection, bacterial slime production and adherence to implant surfaces (generation of the biofilm) appear to play a primary role in the pathogenesis of device infections, contemporary prosthetic devices generally being quite nonreactive with respect to host tissues. While virtually any organism can cause these infections, gram-positive bacteria, especially staphylococci, predominate. Infections due to gram-negative organisms and fungi, however, tend to be more serious, often requiring prompt removal of the implant.

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Crossref · 10.1093/clinids/10.6.1102

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Metadata

Authors
Dougherty, S. H.
Venue
Clinical Infectious Diseases
Published
1988-11-01
Volume
10
Issue
6
Pages
1102-1117
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2156771374
Cited by
193
References
1
FWCI
10.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Pathobiology of Infection in Prosthetic Devices. https://app.cochat.ai/papers/10.1093/clinids/10.6.1102
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Dougherty, S. H. (1988). Pathobiology of Infection in Prosthetic Devices. Clinical Infectious Diseases. https://doi.org/10.1093/clinids/10.6.1102

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.