Surgical site infection surveillance in knee and hip arthroplasty: optimizing an algorithm to detect high-risk patients based on electronic health records
Different algorithms with high sensitivity to detect all types of SSI can be used in real life, tailored to clinical practice and data availability. Emergency department attendance can be an important variable to identify superficial SSI in semi-automated surveillance.
Authors
- Afonso Pedrosa
- Mariana Guedes (ORCID: https://orcid.org/0000-0002-0681-3091)
- FABIANA RODRIGUES DE ALMEIDA (ORCID: https://orcid.org/0000-0001-6738-9434)
- Ana Azevedo (ORCID: https://orcid.org/0000-0002-7368-9609)
- Lucybell Moreira
- Paulo Andrade
- Nuno Rocha-Pereira
Institutions
- Universidade do Porto (PT)
- Hospital de São João (PT)
- Hospital Universitario Virgen Macarena (ES)
- Administração Regional de Saúde de Lisboa e Vale do Tejo (PT)
- Instituto de Saúde (BR)
- Instituto de Biomedicina de Sevilla (ES)
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT)
Publication Details
- Journal
- Antimicrobial Resistance and Infection Control
- Published
- 2024-08-15
- DOI
- https://doi.org/10.1186/s13756-024-01445-x
- Citations
- 8
- Primary Topic
- Orthopedic Infections and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.58