Journal of Bone and Joint Infection
Journal of Bone and Joint Infection
JBJI
Articles | Volume 9, issue 5
Articles | Volume 9, issue 5
https://doi.org/10.5194/jbji-9-231-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/jbji-9-231-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 5
Original full-length article
 | 
25 Oct 2024
Original full-length article |  | 25 Oct 2024

Predicting periprosthetic joint infection: external validation of preoperative prediction models

Seung-Jae Yoon, Paul C. Jutte, Alex Soriano, Ricardo Sousa, Wierd P. Zijlstra, and Marjan Wouthuyzen-Bakker

Viewed

Total article views: 182 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
154 22 6 182 4 4
  • HTML: 154
  • PDF: 22
  • XML: 6
  • Total: 182
  • BibTeX: 4
  • EndNote: 4
Views and downloads (calculated since 25 Oct 2024)
Cumulative views and downloads (calculated since 25 Oct 2024)

Viewed (geographical distribution)

Total article views: 181 (including HTML, PDF, and XML) Thereof 181 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
This study validated three models for predicting infection after hip and knee replacement surgery. By analyzing data from 2684 patients in the Netherlands, Portugal, and Spain, we found that the models developed by Tan, Del Toro, and Bülow effectively identified high-risk patients. These models can be used to enhance preoperative counseling and to tailor infection prevention measures individually, potentially improving outcomes and reducing healthcare costs.
Read more