ArticleBone & joint research2023
Synovial fluid neutrophil extracellular traps could improve the diagnosis of periprosthetic joint infection.
Article in Bone & joint research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Multiplex quantification of osteomyelitis pathogens based on bead array.Mikrochimica acta · 2026Article
- Key Inflammatory Pathways, Biomarkers, and Targeted Management Strategies in Primary Total Joint Arthroplasty: A Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
- Diagnosing orthopaedic infection by identifying neutrophils in whole histology slide images with machine learning trained on publicly available datasets.Bone & joint research · 2026Article
- The diagnostic accuracy of serum and synovial inflammatory markers in chronic periprosthetic joint infection among anaemic patients.Bone & joint research · 2026Article
- Neutrophil extracellular traps in antifungal immunity: mechanisms, dual roles, regulatory networks, and clinical perspectives.Frontiers in cellular and infection microbiology · 2026Review
- Neutrophil extracellular trap (NET)-related index as an indicator of periprosthetic joint infection.Journal of bone and joint infection · 2026Article
- Article
- Differential synovial fluid white blood cell count for the diagnosis of chronic peri-prosthetic joint infection - a systematic review and meta-analysis.Journal of bone and joint infection · 2025Article
- Active myeloperoxidase: a promising biomarker to differentiate "acute" and "low-grade" peri-prosthetic joint infections from aseptic failures.Frontiers in microbiology · 2024Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThis study aimed to explore the diagnostic value of synovial fluid neutrophil extracellular traps (SF-NETs) in periprosthetic joint infection (PJI) diagnosis, and compare it with that of microbial culture, serum ESR and CRP, synovial white blood cell (WBC) count, and polymorphonuclear neutrophil percentage (PMN%).
methodsIn a single health centre, patients with suspected PJI were enrolled from January 2013 to December 2021. The inclusion criteria were: 1) patients who were suspected to have PJI; 2) patients with complete medical records; and 3) patients from whom sufficient synovial fluid was obtained for microbial culture and NET test. Patients who received revision surgeries due to aseptic failure (AF) were selected as controls. Synovial fluid was collected for microbial culture and SF-WBC, SF-PNM%, and SF-NET detection. The receiver operating characteristic curve (ROC) of synovial NET, WBC, PMN%, and area under the curve (AUC) were obtained; the diagnostic efficacies of these diagnostic indexes were calculated and compared.
resultsThe levels of SF-NETs in the PJI group were significantly higher than those of the AF group. The AUC of SF-NET was 0.971 (95% confidence interval (CI) 0.903 to 0.996), the sensitivity was 93.48% (95% CI 82.10% to 98.63%), the specificity was 96.43% (95% CI 81.65% to 99.91%), the accuracy was 94.60% (95% CI 86.73% to 98.50%), the positive predictive value was 97.73%, and the negative predictive value was 90%. Further analysis showed that SF-NET could improve the diagnosis of culture-negative PJI, patients with PJI who received antibiotic treatment preoperatively, and fungal PJI.
conclusionSF-NET is a novel and ideal synovial fluid biomarker for PJI diagnosis, which could improve PJI diagnosis greatly.Cite this article:
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