Evidence map›Paper›PMID 34599708›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2022

Heterogeneity of Staphylococcus epidermidis in prosthetic joint infections: time to reevaluate microbiological criteria?

Micael Widerström, Marc Stegger, Anders Johansson, Bharat Kumar Gurram, Anders Rhod Larsen, Lars Wallinder, Helen Edebro, Tor Monsen

Open access · hybridAbstract read
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 24% of its field
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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. mSphere · 2026
    Article
  4. Article
  5. Article
  6. Is the isolation of S. epidermidis from pre-operative synovial fluid culture a predictor of S. epidermidis prosthetic joint infection?European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  7. Article
  8. Dissemination ofFrontiers in microbiology · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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 at 3 institutions in 2 countries.

Micael WiderströmDepartment of Clinical Microbiology, Umeå University, SE-901 85, Umeå, Sweden. micael.widerstrom@umu.se.ORCID http://orcid.org/0000-0002-1483-4255
Marc SteggerDepartment of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark.
Anders JohanssonDepartment of Clinical Microbiology, Umeå University, SE-901 85, Umeå, Sweden.
Bharat Kumar GurramDepartment of Clinical Microbiology, Umeå University, SE-901 85, Umeå, Sweden.
Anders Rhod LarsenDepartment of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark.
Lars WallinderDepartment of Orthopaedics, University Hospital of Umeå, Umeå, Sweden.
Helen EdebroDepartment of Clinical Microbiology, Umeå University, SE-901 85, Umeå, Sweden.
Tor MonsenDepartment of Clinical Microbiology, Umeå University, SE-901 85, Umeå, Sweden.
Umeå University · SEStatens Serum Institut · DKUniversity Hospital of Umeå · SE

Funding

Svenska Läkaresällskapet SLS-24993Svenska Läkaresällskapet SLS-413681
6 · The paper itself

Abstract

Prosthetic joint infection (PJI) is a feared and challenging to diagnose complication after arthroplasty, with Staphylococcus epidermidis as the major pathogen. One important criteria to define PJI is the detection of phenotypically indistinguishable microorganisms with identical antibiotic susceptibility pattern in at least two different samples. However, owing to phenotypical variation within genetic clones and clonal variation within a phenotype, the criteria may be ambiguous. We investigated the extent of diversity among coagulase-negative staphylococci (CoNS) in PJI and characterised S. epidermidis isolates from PJI samples, specifically multiple S. epidermidis isolates identified in individual PJI patients. We performed a retrospective cohort study on 62 consecutive patients with PJI caused by CoNS from two hospitals in Northern Sweden. In 16/62 (26%) PJIs, multiple S. epidermidis isolates were available for whole-genome analyses. Hospital-adapted multidrug-resistant genetic clones of S. epidermidis were identified in samples from 40/62 (65%) of the patients using a combination of pulsed-field gel electrophoresis and multilocus sequence typing. Whole-genome sequencing showed the presence of multiple sequence types (STs) in 7/16 (44%) PJIs where multiple S. epidermidis isolates were available. Within-patient phenotypical variation in the antibiotic susceptibility and/or whole-genome antibiotic resistance gene content was frequent (11/16, 69%) among isolates with the same ST. The results highlight the ambiguity of S. epidermidis phenotypic characterisation as a diagnostic method in PJI and call for larger systematic studies for determining the frequency of CoNS diversity in PJIs, the implications of such diversity for microbiological diagnostics, and the therapeutic outcomes in patients.

Indexed as

AgedAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialFemaleHumansJointsMaleMicrobial Sensitivity TestsMiddle AgedProstheses and ImplantsProsthesis-Related InfectionsRetrospective StudiesStaphylococcus epidermidisAnti-Bacterial AgentsDiagnosisGenomicsMultidrug resistantPolymicrobialProsthetic joint infectionStaphylococcus epidermidisWithin-patient variation

Identifiers

PMID34599708
PMCPMC8732909
OpenAlexW3143184321

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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.