Evidence map›Paper›PMID 41918557›Full record

ArticleJournal of bone and joint infection2026

Advancing diagnostics in suspected periprosthetic joint infections using synthetic synovial fluid and microcalorimetry.

Amber De Bleeckere, Jeroen Neyt, Jasper Van Heuverswyn, Stien Vandendriessche, Hannelore Hamerlinck, Annelynn Wallaert, Christophe Pattyn, Bruno Verhasselt, Jerina Boelens, Tom Coenye

Abstract read
In one paragraph

Article in Journal of bone and joint infection, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Amber De BleeckereLaboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium.
Jeroen NeytDepartment of Orthopedic Surgery and Traumatology, Ghent University Hospital, Ghent, Belgium.
Jasper Van HeuverswynDepartment of Medical Microbiology, Ghent University Hospital, Ghent, Belgium.ORCID https://orcid.org/0009-0009-8745-2635
Stien VandendriesscheDepartment of Medical Microbiology, Ghent University Hospital, Ghent, Belgium.
Hannelore HamerlinckDepartment of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Annelynn WallaertDepartment of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Christophe PattynDepartment of Orthopedic Surgery and Traumatology, Ghent University Hospital, Ghent, Belgium.
Bruno VerhasseltDepartment of Medical Microbiology, Ghent University Hospital, Ghent, Belgium.
Jerina BoelensDepartment of Medical Microbiology, Ghent University Hospital, Ghent, Belgium.
Tom CoenyeLaboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium.ORCID https://orcid.org/0000-0002-6407-0601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and accurate pathogen detection is essential for effective management of periprosthetic joint infections (PJIs), yet conventional culturing (CC) often yields false-negative results and requires prolonged incubation times. In the present study we compared the performance of CC to that of two alternative approaches, i.e., culturing in synthetic synovial fluid (SSF2) and isothermal microcalorimetry (IMC). A total of 79 synovial fluid (SF) samples from patients with suspected PJI were included; for these samples, CC data were available. Samples were incubated in SSF2 (aerobically and anaerobically, for 10 d), and isolates were identified by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF MS). With IMC we determined the time to detect microbial activity in the samples (in two different media; brain heart infusion (BHI) broth and fluid thioglycolate medium (FTM)). Culturing in SSF2 yielded the highest positivity rate (53.2 %), followed by IMC and CC (34.2 % and 32.9 %, respectively). More than one-third of all positive samples were detected only after culturing in SSF2 (39.3 %), and this approach also revealed the greatest microbial diversity. IMC enabled rapid detection of microbial activity in a sample, with median detection times of 15.9 h in BHI and 15.6 h in FTM. Our results demonstrate that culturing of SF samples in SSF2 increased the diagnostic yield and that IMC reduced the time to identify clinical samples that contain viable microorganisms. This highlights the potential of these approaches; however further optimization is warranted to integrate them in diagnostic PJI workflows.

Identifiers

PMID41918557
PMCPMC13034168

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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.