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Diagnostic accuracy of alpha-defensin in periprosthetic joint infection: a systematic review and meta-analysis
Jun Yuan1,2, Yufei Yan1,2, Jiong Zhang1,2
1Department of Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, People's Republic of China.
Background:
Alpha-defensin, a novel biomarker, has shown great potential for the accurate diagnosis of periprosthetic joint infection (PJI) in recent years: many published studies have presented encouraging results. Nevertheless, the diagnostic accuracy of alpha-defensin is inconsistent across published studies. Moreover, the optimum value of the diagnostic threshold urgently needs to be ascertained. This meta-analysis sought to estimate the precision of alpha-defensin for the diagnosis of PJI and, where possible, to confirm the threshold.
Method:
We systematically searched PubMed, Embase, Cochrane, Web of Knowledge, and ClinicalTrials.gov for relevant literature on alpha-defensin in the diagnosis of PJI (searching publications from the inception of each database until February 2017, with no language restriction). Pooled sensitivity, specificity, diagnostic odds ratios, and likelihood ratios were the indexes used for assessment, with the use of a random-effects model.
Result:
Eleven of the 426 studies that evaluated the diagnostic accuracy of alpha-defensin in periprosthetic joint infection (PJI) were included in this analysis. The pooled diagnostic sensitivity of alpha-defensin for PJI was 0.96 (95% confidence interval [CI], 0.87 to 0.99) and the specificity was 0.95 (95% CI, 0.91 to 0.97). Since there was substantial heterogeneity among studies, based on the inconsistency index (I2), threshold, site of arthroplasty, study design and techniques for the alpha-defensin test, subgroup analyses were performed to estimate the impacts of these variables on heterogeneity.
Conclusion:
In summary, this meta-analysis clearly lends support to the conclusion that alpha-defensin is a promising addition to the current methods for diagnosis of PJI.
Insights
Alpha-defensin shows high accuracy for diagnosing periprosthetic joint infection (PJI). This meta-analysis confirms its potential as a valuable diagnostic biomarker, supporting its use in clinical practice.
Area of Science:
- Biomarker discovery and validation
- Orthopedic surgery
- Infectious disease diagnostics
Background:
- Periprosthetic joint infection (PJI) diagnosis remains challenging.
- Alpha-defensin is a novel biomarker with potential for PJI detection.
- Existing studies show inconsistent diagnostic accuracy and lack a defined threshold.
Purpose of the Study:
- To estimate the diagnostic precision of alpha-defensin for PJI.
- To confirm the optimal diagnostic threshold for alpha-defensin.
- To address inconsistencies in current literature.
Main Methods:
- Systematic literature search of major databases (PubMed, Embase, etc.) until February 2017.
- Inclusion of 11 studies evaluating alpha-defensin for PJI diagnosis.
- Meta-analysis using a random-effects model to pool sensitivity, specificity, and diagnostic odds ratios.
Main Results:
- Pooled sensitivity for alpha-defensin in PJI diagnosis was 0.96 (95% CI, 0.87-0.99).
- Pooled specificity was 0.95 (95% CI, 0.91-0.97).
- Subgroup analyses were conducted to address significant heterogeneity.
Conclusions:
- Alpha-defensin is a promising biomarker for PJI diagnosis.
- This meta-analysis supports the utility of alpha-defensin as an adjunct diagnostic tool.
- Further research may refine the optimal diagnostic threshold.
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