Evidence map›Paper›PMID 40905272›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2026

Lower synovial leucocyte count and polymorphonuclear percentage reliably differentiate periprosthetic joint infection after unicompartmental knee arthroplasty.

Stefanie Donner, Georg Matziolis, Yves Gramlich, Igor Lazic, Daniel Schrednitzki, Anne Pohrt, Nora Renz, Nils Meißner

Abstract readMulticenter Study
In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Revision from unicompartmental knee arthroplasty to total knee arthroplasty: An analysis of 118 cases at midterm follow-up.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Article
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

8 authors.

Stefanie DonnerCenter for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-8270-0462
Georg MatziolisOrthopedic Department Waldkliniken Eisenberg, University Hospital Jena, FSU Jena, Campus Eisenberg, Eisenberg, Germany.ORCID https://orcid.org/0000-0002-5105-5875
Yves GramlichAgaplesion Markus Krankenhaus, Frankfurt, Germany.ORCID https://orcid.org/0000-0001-5594-308X
Igor LazicClinic of Orthopedics and Sports Orthopedics, Klinikum Rechts der Isar, Technische Universität München, München, Germany.ORCID https://orcid.org/0000-0002-7403-5535
Daniel SchrednitzkiDepartment of Orthopaedic and Trauma Surgery, Sana Hospital Lichtenberg, Berlin, Germany.ORCID https://orcid.org/0000-0003-2696-1769
Anne PohrtInsitute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-6104-622X
Nora RenzCenter for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-8011-6684
Nils MeißnerDepartment of Orthopaedic Surgery, Sana Hospital Sommerfeld, Kremmen, Germany.ORCID https://orcid.org/0000-0002-7321-219X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to determine diagnostic thresholds for synovial fluid leucocyte count and polymorphonuclear (PMN) percentage to identify the diagnosis periprosthetic joint infection (PJI) in patients with failed unicompartmental knee arthroplasties (UKAs).

methodsThis multicentre retrospective cohort study included 239 patients who underwent revision of an UKA for either septic or aseptic indications at five university-affiliated medical centres. Among these, 30 patients (13%) underwent revision for PJI and 209 (87%) for noninfectious causes. PJI was diagnosed according to the European Bone and Joint Infection Society (EBJIS) criteria. Preoperative synovial fluid leucocyte count, synovial PMN percentage, serum C-reactive protein (CRP) and white blood cell (WBC) count were evaluated. Diagnostic performance and optimal thresholds for each parameter were assessed using receiver operating characteristic curves and Youden's index.

resultsThe PJI group demonstrated significantly higher median synovial leucocyte counts (11,399/μL vs. 429/μL, p < 0.001), and significantly higher synovial PMN percentage (82% vs. 28%, p < 0.001) compared to the non-PJI group. The optimal diagnostic cut-off for synovial fluid leucocyte count was 2318/μL (area under curve [AUC] 0.93; sensitivity 83%, specificity 95%) and for PMN percentage, 64% (AUC 0.90; sensitivity 76%, specificity 95%). Serum CRP (cut-off 9 mg/L; AUC 0.85) and WBC count (cut-off 8 G/L; AUC 0.71), showed lower diagnostic accuracy.

conclusionsThis study establishes UKA-specific diagnostic thresholds for PJI, which are consistent with the EBJIS PJI criteria established for TKA. Synovial biomarkers, particularly synovial fluid leucocyte count and PMN percentage, demonstrated superior diagnostic performance compared to serum CRP and WBC count. These findings underscore the need for tailored diagnostic criteria to improve the accuracy of PJI diagnosis and guide clinical decision-making in UKA revision. LEVEL OF EVIDENCE: Level III.

Indexed as

Arthroplasty, Replacement, KneeNeutrophilsProsthesis-Related InfectionsSynovial FluidAgedAged, 80 and overC-Reactive ProteinFemaleHumansKnee ProsthesisLeukocyte CountMaleMiddle AgedReoperationRetrospective StudiesROC CurveC-Reactive Proteindiagnostic criteriaperiprosthetic joint infectionsynovial fluid leucocyte countsynovial polymorphonuclear leucocytes percentageunicompartmental knee arthroplasty

Identifiers

PMID40905272
PMCPMC13037359

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Registered trials

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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.