Evidence map›Paper›PMID 39998794›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2025

Is the isolation of S. epidermidis from pre-operative synovial fluid culture a predictor of S. epidermidis prosthetic joint infection?

Flaminia Olearo, Carl Philipp Schoppmeier, Anna Both, Mustafa Citak, Gregor Maschkowitz, Sabine Schubert, Helmut Fickenscher, Thorsten Gehrke, Martin Aepfelbacher, Holger Rohde

Abstract read
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2025. 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. Article
  3. 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

10 authors.

Flaminia OlearoInstitut für Medizinische Mikrobiologie, Virologie und Hygiene, Universitätsklinikum Hamburg- Eppendorf, Hamburg, Germany.
Carl Philipp SchoppmeierInstitut für Medizinische Mikrobiologie, Virologie und Hygiene, Universitätsklinikum Hamburg- Eppendorf, Hamburg, Germany.
Anna BothInstitut für Medizinische Mikrobiologie, Virologie und Hygiene, Universitätsklinikum Hamburg- Eppendorf, Hamburg, Germany.
Mustafa CitakAbteilung für chirurgische Orthopädie, Helios ENDO-Klinik, Hamburg, Germany.
Gregor MaschkowitzMedizinische Fakultät, Institut für Infektionsmedizin, Christian-Albrechts-Universität zu Kiel, Kiel, Germany.
Sabine SchubertMedizinische Fakultät, Institut für Infektionsmedizin, Christian-Albrechts-Universität zu Kiel, Kiel, Germany.
Helmut FickenscherMedizinische Fakultät, Institut für Infektionsmedizin, Christian-Albrechts-Universität zu Kiel, Kiel, Germany.
Thorsten GehrkeAbteilung für chirurgische Orthopädie, Helios ENDO-Klinik, Hamburg, Germany.
Martin AepfelbacherInstitut für Medizinische Mikrobiologie, Virologie und Hygiene, Universitätsklinikum Hamburg- Eppendorf, Hamburg, Germany.
Holger RohdeInstitut für Medizinische Mikrobiologie, Virologie und Hygiene, Universitätsklinikum Hamburg- Eppendorf, Hamburg, Germany. rohde@uke.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogen identification is key to the management of periprosthetic joint infection (PJI). Staphylococcus epidermidis is a major cause of PJI. Differentiating between invasive and contaminating S. epidermidis from joint specimens is challenging, and usually S. epidermidis is only considered a true invasive isolate when grown from two or more independent tissue samples. Thus, the detection of S. epidermidis in single synovial fluid (SF) samples from preoperative athrocentesis makes it difficult to draw definitive conclusions about its clinical significance, especially when grown from contamination-prone broth enrichment cultures (BEC). This study evaluates the diagnostic value of S. epidermidis detection in preoperative synovial cultures for the diagnosis of S. epidermidis-related PJI diagnosed by intraoperative tissue culture (TC). A total of 292 patients were included in the study, of whom 271 had prosthetic joint infection (PJI) according to EBJIS criteria. Preoperative synovial fluid (SF) cultures detected Staphylococcus epidermidis in 32.5% cases (SF-epi), other pathogens in 43.2% cases (SF-other), and were negative in 24.3%. Intraoperative tissue cultures TC identified clinically significant S. epidermidis in 30.1% of cases. The overall agreement between SF and tissue cultures was 66.1%, and the presence of S. epidermidis in SF was confirmed by TC in 70.5%. The diagnostic accuracy of SF cultures for S. epidermidis PJI was 83.2%, with sensitivity of 76.1% and specificity of 86.3% to detect S. epidermidis PJI. The positive likelihood-ration (LR+) was 5.5. When S. epidermidis from SF-BEC were excluded from analysis, specificity increased to 94.2%, and LR + was 7, but diagnostic sensitivity dropped to 40.5%. This study highlights the important value of using preoperative SF fluid cultures for the diagnosis of S. epidermidis PJI. The integration of BEC improves diagnostic accuracy and sensitivity in S. epidermidis PJI, and thus providing valuable information to guide clinical practice. For definitive antibiotic treatment decisions intraoperative tissue cultures remain mandatory.

Indexed as

Prosthesis-Related InfectionsStaphylococcal InfectionsStaphylococcus epidermidisSynovial FluidAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedSensitivity and SpecificityClinical significanceMicrobiological diagnosisProsthetic joint infection (PJI)Staphylococcus epidermidisSynovial fluid

Identifiers

PMID39998794
PMCPMC12062166

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.