Prevention of Prosthetic Joint Infection: From Traditional Approaches towards Quality Improvement and Data Mining
Status PubMed-not-MEDLINE Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články, přehledy
Grantová podpora
VES 17-29680A
Ministerstvo Zdravotnictví Ceské Republiky
University Hospital Olomouc, 00098892
Ministerstvo zdravotnictví České Republiky
PubMed
32664491
PubMed Central
PMC7408657
DOI
10.3390/jcm9072190
PII: jcm9072190
Knihovny.cz E-zdroje
- Klíčová slova
- anti-adhesive, antibacterial surface treatment, at-risk patient, bacterial contamination, biomaterial-associated infection, machine learning, preventative measures, prosthetic joint infection, quality improvement,
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
A projected increased use of total joint arthroplasties will naturally result in a related increase in the number of prosthetic joint infections (PJIs). Suppression of the local peri-implant immune response counters efforts to eradicate bacteria, allowing the formation of biofilms and compromising preventive measures taken in the operating room. For these reasons, the prevention of PJI should focus concurrently on the following targets: (i) identifying at-risk patients; (ii) reducing "bacterial load" perioperatively; (iii) creating an antibacterial/antibiofilm environment at the site of surgery; and (iv) stimulating the local immune response. Despite considerable recent progress made in experimental and clinical research, a large discrepancy persists between proposed and clinically implemented preventative strategies. The ultimate anti-infective strategy lies in an optimal combination of all preventative approaches into a single "clinical pack", applied rigorously in all settings involving prosthetic joint implantation. In addition, "anti-infective" implants might be a choice in patients who have an increased risk for PJI. However, further progress in the prevention of PJI is not imaginable without a close commitment to using quality improvement tools in combination with continual data mining, reflecting the efficacy of the preventative strategy in a particular clinical setting.
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Prosthetic Joint Infection: Updates on Prevention, Diagnosis and Therapy