Evidence map›Paper›PMID 41185851›Full record

ArticleJB & JS open access

Low Synovial Lymphocyte Percentage as a Novel Diagnostic Marker of Periprosthetic Joint Infection.

Assil-Ramin Alimy, Jonah Sijakov, Nico Maximillian Jandl, Patricia Bartsch, Christian Ries, Jan Hubert, Eva Tolosa, Holger Rohde, Johannes Keller, Frank Timo Beil and 1 more

Abstract read
In one paragraph

Article in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Assil-Ramin AlimyDepartment of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0002-2013-4212
Jonah SijakovDepartment of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0009-0001-5998-8282
Nico Maximillian JandlDepartment of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0003-4681-8003
Patricia BartschInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0002-6946-4757
Christian RiesDepartment of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0001-8606-2947
Jan HubertDepartment of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0001-6457-9195
Eva TolosaInstitute of Immunology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0002-5247-8378
Holger RohdeInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0001-8587-4433
Johannes KellerDepartment of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0002-8925-7288
Frank Timo BeilDepartment of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0001-7965-1946
Tim RolvienDepartment of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0003-1058-1307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Correctly diagnosing periprosthetic joint infection (PJI) remains a major clinical challenge. While acute PJI is straightforward to identify because of its pronounced clinical presentation, chronic infections remain challenging to detect since clinical signs are subtle and standard criteria lack sensitivity. By analyzing a wide range of serum and synovial parameters in patients undergoing revision arthroplasty, we sought to identify the most accurate diagnostic PJI markers. Methods: A retrospective analysis of 400 patients undergoing knee or hip revision arthroplasty, including 145 patients who had PJI and 255 patients who had aseptic failure, was conducted. Diagnosis of PJI was established using the 2018 International Consensus Meeting criteria. A comprehensive evaluation of medical records, serum, and synovial biomarkers was performed. For each marker, receiver operating characteristic curves, calculating the area under the curve and optimal cutoff values, were determined. Results: Synovial biomarkers such as alpha-defensin and C-reactive protein did not demonstrate superior diagnostic performance compared with polymorphonuclear neutrophil (PMN) count and percentage. Importantly, low synovial lymphocyte percentage (<34.7%) emerged as the most accurate marker for PJI diagnosis (area under the receiver operating characteristic curve [AUC] = 0.96, sensitivity = 0.85, specificity = 0.96), independent of location or infection subtype (acute and chronic). This was further supported by a conditional inference tree model for diagnosing chronic PJI, which identified synovial lymphocyte percentage and PMN count as key decision nodes and demonstrated excellent diagnostic performance (AUC = 0.95; sensitivity = 0.93; specificity = 0.91). Conclusions: Our study provides evidence that low synovial lymphocyte percentage is a reliable diagnostic marker of PJI. Integrating the assessment of synovial lymphocytes into clinical practice could enable more timely diagnosis and, therefore, effective treatment, ultimately improving patient outcomes. However, as this was a single-center study limited to hip and knee revision, external validation is warranted to confirm the generalizability of our findings. Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Identifiers

PMID41185851
PMCPMC12574528

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.