Platelet count as a novel potential predictor of periprosthetic joint infection / 中国组织工程研究
Chinese Journal of Tissue Engineering Research
;
(53): 4795-4801, 2020.
Article
in Chinese
| WPRIM
| ID: wpr-823812
ABSTRACT
BACKGROUND:
Obtaining synovial fluid for diagnostic test of periprosthetic joint infection is invasive and painful to patients. Platelet count is a regular blood test which has been used as a possible predictor of several infectious diseases. Presumably, it could be one of the indicators of periprosthetic joint infection.OBJECTIVE:
To identify the accuracies of platelet combined with white blood cell, erythrocyte sedimentation rate or C-reactive protein in the diagnosis of periprosthetic joint infection.METHODS:
Patients undergoing revision arthroplasty from March 2013 to December 2018 in the First Affiliated Hospital of Guangzhou University of Chinese Medicine were retrospectively enrolled. A diagnosis of periprosthetic joint infection was confirmed in 77 patients according to the criterions from the Musculoskeletal Infection Society; the remaining 137 patients were confirmed as aseptic cases. White blood cell, erythrocyte sedimentation rate, or C-reactive protein and platelet count were compared between the two groups. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated. RESULTS ANDCONCLUSION:
The platelet values were significantly increased in periprosthetic joint infection cases. Sensitivity and specificity of the platelet for periprosthetic joint infection were 64.94% and 86.13%, respectively. Platelet demonstrated a higher accuracy when compared to erythrocyte sedimentation rate and C-reactive protein. In such cases, the platelet shows a certain reference value in confirming the diagnosis of periprosthetic joint infection. Platelet was enough used as adjunct diagnostic tool in patients suspected with periprosthetic joint infection.
Full text:
Available
Index:
WPRIM (Western Pacific)
Type of study:
Prognostic study
Language:
Chinese
Journal:
Chinese Journal of Tissue Engineering Research
Year:
2020
Type:
Article
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