Diagnostic accuracy of D-dimer in periprosthetic joint infection: a diagnostic meta-analysis

Haitao Zhang1, Xiaobo Sun1,2, Pengfei Xin1

  • 1The First Clinical Medical School, Guangzhou University of Chinese Medicine, Jichang Road 12#, District Baiyun, Guangzhou, Guangdong, China.

Abstract

Insights

D-dimer shows promise as a biomarker for diagnosing periprosthetic joint infection (PJI), a serious complication after joint replacement. Further research is needed to integrate D-dimer with other diagnostic tools for improved accuracy.

Area of Science:

  • Orthopedics
  • Infectious Diseases
  • Biomarker Research

Background:

  • Periprosthetic joint infection (PJI) is a significant complication following total joint arthroplasty (TJA).
  • Current diagnostic methods for PJI face challenges, leading to diagnostic dilemmas.
  • The utility of D-dimer as a biomarker for PJI diagnosis remains debated.

Purpose of the Study:

  • To evaluate the diagnostic accuracy of D-dimer in identifying PJI.
  • To synthesize existing evidence through a meta-analysis.

Main Methods:

  • Comprehensive literature search across PubMed, Embase, Web of Science, and Cochrane Library up to April 2020.
  • Quality assessment of included studies using Revman 5.3.
  • Meta-analysis using a random effects model in Stata 14.0, calculating pooled sensitivity, specificity, likelihood ratios, diagnostic odds ratio, and constructing an SROC curve.

Main Results:

  • Nine studies comprising 1592 patients were included.
  • Pooled sensitivity for D-dimer in PJI diagnosis was 0.82 (95% CI, 0.72–0.89) and pooled specificity was 0.73 (95% CI, 0.58–0.83).
  • The pooled area under the SROC curve (AUC) was 0.85 (95% CI, 0.82–0.88), indicating good diagnostic performance.

Conclusions:

  • D-dimer demonstrates potential as a valuable biomarker for PJI diagnosis.
  • Combining D-dimer with other biomarkers or diagnostic methods can enhance diagnostic performance for PJI.

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