Evidence map›Paper›PMID 42199553›Full record

ArticleFrontiers in microbiology2026

Microbial next generation DNA sequencing of aspirated synovial fluid shows concordance with ICM criteria biomarkers for diagnosing periprosthetic joint infection in hip and knee arthroplasty.

Craig D Tipton, Jacob Ancira, Saad Tarabichi, Alisina Shahi, Kayla Jarvis, Khalid Omeir, Nicholas Sanford, Nick A Tallman, Jennifer White, Caleb D Phillips and 2 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Craig D TiptonMicroGen DX, Lubbock, TX, United States.
Jacob AnciraMicroGen DX, Lubbock, TX, United States.
Saad TarabichiDepartment of Orthopedic Surgery, Mayo Clinic Arizona, Phoenix, AZ, United States.
Alisina ShahiDepartment of Orthopedic Surgery, University of Texas Health Science Center at Houston, Houston, TX, United States.
Kayla JarvisMicroGen DX, Lubbock, TX, United States.
Khalid OmeirMicroGen DX, Lubbock, TX, United States.
Nicholas SanfordMicroGen DX, Lubbock, TX, United States.
Nick A TallmanMicroGen DX, Lubbock, TX, United States.
Jennifer WhiteMicroGen DX, Lubbock, TX, United States.
Caleb D PhillipsDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, United States.
Javad ParviziInternational Joint Center, Acibadem University Hospital, Istanbul, Türkiye.
Edward J McPhersonDepartment of Orthopedic Surgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The diagnosis of periprosthetic joint infection (PJI) is facilitated by consensus identification of synovial biomarkers, which may be aided by targeted microbial next generation sequencing (NGS) of synovial fluid. The primary objective of the study was to evaluate NGS performance across 3 years to ICM 2018 minor criteria for PJI. Methods: Synovial fluid specimens submitted from 2020-2022 by outpatient surgical clinics to MicroGenDX for matched synovial biomarker and NGS analysis were selected for retrospective analysis. Synovial biomarkers tested included C-reactive protein (CRP), white blood cell (WBC) count, and polymorphonuclear (PMN) leukocyte percentage. Synovial fluid analysis compared NGS microbial positivity with positive incidence of PJI determined by scoring of synovial biomarkers using ICM 2018 minor criteria for infection. Results: The overall sensitivity, specificity, and accuracy of NGS to ICM diagnosed PJI across 2,011 specimens was 76.4% [95% CI, 0.723-0.801], 92.3% [0.91-0.94], and 88.7% [0.87-0.90], respectively. When comparing the diagnostic performance of NGS and individual biomarkers to infection, NGS was more specific to PJI than synovial CRP (specificity = 0.894, 95% CI: 0.88-0.91), but not PMN or WBC. NGS was positive in 7.7% of ICM negative samples. NGS positive: ICM negative samples were associated with significantly elevated synovial PMN ( Conclusion: Microbial targeted NGS positivity was concordant with ICM minor criteria for PJI and should be considered a useful tool for diagnosis. There is a low risk of false positive detections comparable to ICM biomarkers. Elevated biomarkers in NGS positive: ICM negative samples may indicate infection occurring that is poorly captured by the three measured synovial biomarkers. Uncommon species are collectively common to PJI and NGS is uniquely positioned to detect such species as they are frequently missed by conventional microbiological testing, including culture and quantitative PCR. These results suggest formal diagnostic schemes would benefit from the addition of NGS as a diagnostic criterion.

Indexed as

16S rRNA sequencingdiagnostic criteriaICM-18ITS sequencingnext generation sequencingPJIsynovial biomarkerssynovial fluid

Identifiers

PMID42199553
PMCPMC13199172

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