Evidence map›Paper›PMID 40693950›Full record

ArticleMicrobiology spectrum2025

Comparative evaluation of Biofire Joint Infection Panel, Sepsitest 16S/18S rDNA PCR, and culture to identify microorganisms in explanted heart valves.

Benjamin Berinson, Konstantin Tanida, Manuel Wolters, Flaminia Olearo, Christoph Sinning, Martin Christner, Martin Aepfelbacher, Holger Rohde

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Microbiology spectrum, 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. Review
  2. Article
  3. 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

8 authors.

Benjamin BerinsonInstitute for Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0003-2749-1201
Konstantin TanidaInstitute for Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Manuel WoltersInstitute for Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Flaminia OlearoInstitute for Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Christoph SinningDepartment for Cardiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Martin ChristnerInstitute for Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Martin AepfelbacherInstitute for Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Holger RohdeInstitute for Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0001-8587-4433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infective endocarditis (IE) is a major life-threatening disease. However, the inability to identify the causative pathogen using conventional microbiological cultures jeopardizes the choice of optimal antibiotic therapy. Culture-independent molecular techniques for pathogen detection may overcome this challenge. Here, two molecular tests (16S/18S rDNA assay [SepsiTest, Molzym, Germany]; Biofire Joint Infection Panel [BJP, bioMérieux, Marcy l'Étoile, France]) were analyzed for their ability to detect pathogens in a series of 100 explanted heart valves. In total, at least one pathogen was detected in 67/100 specimens by one or more methods, and 33/100 specimens were negative in all three assays. Overall, valve-culture had an inferior sensitivity (39.4%), compared to 16S/18S rDNA PCR (90.9%) and the BJP (83.1% [all organisms], 98.2% [on-panel organisms only]). In culture-negative cases, 35 and 32 additional pathogens were identified by 16S/18S rDNA PCR and BJP, respectively. In five culture- and 16S/18S rDNA assay-negative cases, BJP identified correctly additional pathogens. False-positive results were observed in one (16S/18S rDNA PCR) and two (BJP) cases, respectively. In conclusion, both culture-independent assays proved to be reliable and increased the diagnostic yield compared to culture. In general, false negatives (i.e., off-panel pathogens in BJP) and false positives require careful clinical evaluation of results from culture-independent techniques. Diagnostic stewardship is essential to guide the optimal use of molecular techniques in the work-up of infective endocarditis.IMPORTANCEInfective endocarditis (IE) therapy must be guided by the identification of the causative pathogen. Microbiological cultures, however, remain negative in a significant number of cases, jeopardizing the choice of optimal anti-infective treatment. This study evaluated the ability of two independent molecular tests (16/18S rDNA PCR, syndromic panel PCR [Biofire JI panel]) to overcome limitations of conventional microbiological approaches to detect microorganisms from explanted heart valve tissues. Both assays proved to have a greater sensitivity compared to conventional culture, and PCR and BJP identified a pathogen in 35 and 32 out of 74 culture negative IE cases, additional pathogens, respectively. The study highlights the great importance of culture-independent approaches to pathogen detection in IE and guides the choice of the optimal assay using diagnostic stewardship interventions.

Indexed as

BacteriaEndocarditisHeart ValvesMolecular Diagnostic TechniquesPolymerase Chain ReactionAdultAgedDNA, RibosomalFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SRNA, Ribosomal, 18SSensitivity and SpecificityDNA, RibosomalRNA, Ribosomal, 16SRNA, Ribosomal, 18S16S rDNA PCRBiofire FilmArray JI panelcultureinfectious endocarditismolecular assayspathogen detection

Identifiers

PMID40693950
PMCPMC12403625

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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.