Advances in Prosthetic Joint Infection Care
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Orthopedics".
Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 32578
Special Issue Editor
Interests: prosthetic joint infection; aseptic loosening; periprosthetic osteolysis; osteoarthritis; functional movement diagnostics
Special Issue Information
Dear Colleagues,
Total joint arthroplasty (TJA) delivers highly valuable outcomes to patients with the end-stage joint diseases. The most frequent reason for early failure is prosthetic joint infection (PJI) associated with colonization of the implant by causative agents originating from wounds during the surgery. Some PJIs originate from hematogenous bacterial invasion or “per continuitatem” from infections occurring around the implant at some point after the surgery. PJI is usually linked to the development of biofilm on prosthetic surfaces, inducing the anti-infective inflammatory host response and resulting in premature implant failure. Little is known regarding the regulation mechanisms individualizing a particular PJI phenotype. TJA reoperations increase the morbidity and mortality at the side of patients and burden healthcare systems. Complex preventative measures, including anti-infective implants, could reduce the incidence of biofilm development on the implant surfaces. Implementing a concept targeting early stages of hematogenous/per continuitatem PJIs is more difficult. Advanced diagnostics enable early and more precise identification of patients suffering from PJI. This can lead to interventions and even save the original implant. Together, these advancements could increase the implant survivorship. In this Special Issue, we critically review advances in the field of PJI diagnosis and prevention, and discuss future research directions.
Prof. Dr. Jiri Gallo
Guest Editor
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Keywords
- prosthetic joint infection
- epidemiology
- biofilm
- prevention
- anti-infective strategies
- diagnostics
- diagnostic strategy
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