Articles | Volume 9, issue 1
https://doi.org/10.5194/jbji-9-49-2024
https://doi.org/10.5194/jbji-9-49-2024
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

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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.