Journal of Bone and Joint Infection
Journal of Bone and Joint Infection
JBJI
Articles | Volume 9, issue 1
Articles | Volume 9, issue 1
https://doi.org/10.5194/jbji-9-49-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/jbji-9-49-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 1
Original full-length article
 | 
06 Feb 2024
Original full-length article |  | 06 Feb 2024

Development of an evidence-based diagnostic algorithm for infection in patients with transcutaneous osseointegration following amputation

Shafaf Hasin Alam, Jason S. Hoellwarth, Kevin Tetsworth, Atiya Oomatia, Tristen N. Taylor, and Munjed Al Muderis

Viewed

Total article views: 990 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
777 183 30 990 51 34 45
  • HTML: 777
  • PDF: 183
  • XML: 30
  • Total: 990
  • Supplement: 51
  • BibTeX: 34
  • EndNote: 45
Views and downloads (calculated since 06 Feb 2024)
Cumulative views and downloads (calculated since 06 Feb 2024)

Viewed (geographical distribution)

Total article views: 960 (including HTML, PDF, and XML) Thereof 960 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Aug 2025
Download
Short summary
Osseointegration is a highly enabling reconstruction for patients with limb loss. However, infection can occur. There are currently poor diagnostic criteria for infection, and patients may be brought for surgery too much or too little. The study proposes an algorithm based on history, clinical, and laboratory data to predict the chance of culture-positive deep infection.
Read more
Share