ArticleInfection and drug resistance2025
Metagenomic Next-Generation Sequencing Improves the Diagnosis Efficiency of Mixed Periprosthetic Joint Infections.
Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- From serum inflammatory markers to fluid, tissue, and molecular assays: current advances in the laboratory diagnosis of bone and joint infections.Frontiers in cellular and infection microbiology · 2026Review
- The application value and challenges of metagenomic next-generation sequencing in the diagnosis of periprosthetic joint infection after arthroplasty.Frontiers in medicine · 2025Review
- Impact of Antibiotic Exposure Duration on Pathogen Detection in Periprosthetic Joint Infection.Infection and drug resistance · 2025Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Purpose: To explore the clinical significance of metagenomic next-generation sequencing (mNGS) in the diagnosis of mixed periprosthetic joint infections (PJI). Methods: The data pertaining to patients suspected of PJI who underwent arthroplasty at our hospital between January 2020 and June 2024 were analyzed. Patients included in the study were subjected to microbial culture and mNGS analyses to evaluate the efficacy of mNGS in diagnosing mixed PJIs. Results: Among the 44 PJI patients included, 20 (45.45%) were culture-positive, and 35 (79.55%) were mNGS-positive. Compared to microbial culture, mNGS demonstrated significantly higher sensitivity, negative predictive value, and accuracy (79.55% vs 45.45%, 55.00% vs 35.14%, and 80.70% vs 57.89%, respectively; all P<0.05). However, the specificity of mNGS was significantly lower than culture (84.62% vs 100.00%, P<0.05). For mixed PJIs, the sensitivity of mNGS was notably higher, albeit with lower specificity and positive predictive value compared to microbial culture (72.23% vs 27.27%, 85.19% vs 100.00%, 66.67% vs 100.00%, respectively; all P<0.05). mNGS enables more sensitive detection of co-pathogens in mixed PJI, accelerating targeted therapy and reducing inappropriate broad-spectrum therapy. While its lower specificity requires clinical integration, it clarifies complex diagnoses and streamlines stewardship for improved outcomes. Conclusion: mNGS is a promising technique for rapidly and accurately detecting co-pathogens in mixed PJI.
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