Abstract
Background
Diagnosing a periprosthetic joint infection (PJI) is difficult and often requires
a combination of objective findings. The purpose of this study is to determine whether
platelets, a known acute phase reactant, would be able to further aid in the diagnosis
of PJI.
Methods
A single-institution retrospective review study was performed on all revision total
hip and knee arthroplasties done between 2000 and 2016 (n = 4939). PJI was defined
by Musculoskeletal Infection Society criteria (n = 949). Platelet count and mean platelet
volume were assessed from each patient’s preoperative complete blood count. These
values were then assessed as a ratio via receiver operating characteristic (ROC) curve
analysis.
Results
The platelet count to mean platelet volume ratio for PJI patients was 33.45 compared
to 25.68 for patients in the aseptic revision cohort (P < .001). ROC curve analysis demonstrates that a ratio of 31.70 has a sensitivity
of 48.10 (95% confidence interval 44.9-51.4) and a specificity of 80.85 (95% confidence
interval 79.6-82.1). This specificity was higher than that of both estimated sedimentation
ratio (ESR) and C-reactive protein (CRP) for the same cohorts using optimal values
determined via ROC curve analysis. When used in conjunction with ESR and CRP, there
was a statistically significant increase in the diagnostic performance of the model
used to assess PJI relative to the model that just employed ESR and CRP (P < .05).
Conclusion
Our study demonstrates that platelets and their associated serum biomarkers are associated
with PJI and warrant consideration in patients who are being evaluated for potential
PJI.
Keywords
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Article Info
Publication History
Published online: October 15, 2019
Accepted:
October 6,
2019
Received in revised form:
August 5,
2019
Received:
May 13,
2019
Footnotes
One or more of the authors of this paper have disclosed potential or pertinent conflicts of interest, which may include receipt of payment, either direct or indirect, institutional support, or association with an entity in the biomedical field which may be perceived to have potential conflict of interest with this work. For full disclosure statements refer to https://doi.org/10.1016/j.arth.2019.10.012.
Identification
Copyright
© 2019 Published by Elsevier Inc.

