Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods

•Stress-induced hyperglycemia has shown to correlate with a higher risk of infection and poorer outcomes.•This study presents and compares four different methods to predict infection based on glucose values.•Having an open fracture remains the most important predictor of infection.•Although none of...

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Veröffentlicht in:Injury 2019-11, Vol.50 (11), p.2097-2102
Hauptverfasser: Rodriguez-Buitrago, Andres, Basem, Attum, Okwumabua, Ebubechi, Enata, Nichelle, Evans, Adam, Pennings, Jacquelyn, Karacay, Bernes, Rice, Mark John, Obremskey, William
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Sprache:eng
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Zusammenfassung:•Stress-induced hyperglycemia has shown to correlate with a higher risk of infection and poorer outcomes.•This study presents and compares four different methods to predict infection based on glucose values.•Having an open fracture remains the most important predictor of infection.•Although none of these methods prove to be a driving factor for infection, we believe that they can be successfully applied to a broader orthopaedic population. Identify a glucose threshold that would put patients with isolated bicondylar tibial plateau fractures at risk of early wound infection (i.e.  .05). Logistic regression models for all the methods showed that having an open fracture was the strongest predictor of infection. It is well known that stress-induced hyperglycemia increases the risk of infection, we present and compare four models that have been used in other medical fields. In our study, none of the methods presented identified a glucose threshold that would increase the risk of infection in patients with bicondylar tibial plateau fractures. Level of Evidence: Retrospective review, Level III. See Instructions for Authors for a complete description of levels of evidence.
ISSN:0020-1383
1879-0267
DOI:10.1016/j.injury.2019.07.028