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Published on: December 3, 2017
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.
Background:
Periprosthetic joint infection (PJI) is one of the most devastating complications after total joint replacement (TJA). Up to now, the diagnosis of PJI is still in a dilemma. As a novel biomarker, whether D-dimer is valuable in the diagnosis of PJI remains controversial. This meta-analysis attempts to determine the diagnostic accuracy of D-dimer in PJI.
Methods:
Relevant literature was retrieved from PubMed, Embase, Web of Science, and Cochrane Library (from database establishment to April 2020). Literature quality was evaluated using Revman (version 5.3). The random effect model was used in the Stata version 14.0 software to combine sensitivity, specificity, likelihood ratio (LR), diagnostic odds ratio (DOR), summary receiver operating characteristic (SROC) curve, and area under SROC (AUC) to evaluate the diagnostic value of overall D-dimer for PJI. Meta regression and subgroup analysis were performed according to the threshold, the study design, the sample size, the diagnostic gold standard, the country of study, and the type of sample.
Results:
A total of 9 studies were included in this study, including 1592 patients. The pooled sensitivity and specificity of D-dimer for PJI diagnosis are 0.82 (95% CI, 0.72~0.89) and 0.73 (95% CI, 0.58~0.83), respectively. The pooled positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 2.99 (95% CI, 1.84~4.88) and 0.25 (95% CI, 0.15~0.41), respectively. The pooled AUC and diagnostic odds ratios were 0.85 (95% CI, 0.82~0.88) and 12.20 (95% CI, 4.98~29.86), respectively.
Conclusion:
D-dimer is a promising biomarker for the diagnosis of PJI, which should be used in conjunction with other biomarkers or as an adjunct to other diagnostic methods to enhance diagnostic performance.
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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