Evidence map›Paper›PMID 32296908›Full record

ArticleInternational orthopaedics2020

Improved pre-operative diagnostic accuracy for low-grade prosthetic joint infections using second-generation multiplex Polymerase chain reaction on joint fluid aspirate.

Christian Suren, Susanne Feihl, Sabrina Cabric, Ingo J Banke, Bernhard Haller, Andrej Trampuz, Rüdiger von Eisenhart-Rothe, Peter M Prodinger

Open access · hybridAbstract read
In one paragraph

Article in International orthopaedics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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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 4 institutions in 1 country.

Christian SurenKlinik und Poliklinik für Orthopädie und Sportorthopädie, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany. christian.suren@mri.tum.de.
Susanne FeihlInstitut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Trogerstr. 30, 81675, Munich, Germany.
Sabrina CabricCentrum für Muskuloskeletale Chirurgie (CMSC), Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Ingo J BankeKlinik und Poliklinik für Orthopädie und Sportorthopädie, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
Bernhard HallerInstitut für medizinische Informatik, Statistik und Epidemiologie, Technische Universität München, Grillparzerstr. 18, 81675, Munich, Germany.
Andrej TrampuzCentrum für Muskuloskeletale Chirurgie (CMSC), Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Rüdiger von Eisenhart-RotheKlinik und Poliklinik für Orthopädie und Sportorthopädie, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
Peter M ProdingerKlinik und Poliklinik für Orthopädie und Sportorthopädie, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
Charité - Universitätsmedizin Berlin · DEKlinikum rechts der Isar · DEKlinik und Poliklinik für Orthopädie, Physikalische Medizin und Rehabilitation · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA major obstacle for the treatment of prosthetic joint infection (PJI) is the identification of the underlying causative organism. While the diagnostic criteria ruling PJI in or out have become ever more accurate, the detection of the causative pathogen(s) still relies mostly on conventional and time-consuming microbial culture. The aim of this study was to evaluate the diagnostic potential of a second-generation multiplex PCR assay (Unyvero ITI G2, Curetis AG, Holzgerlingen, Germany) used on synovial fluid specimens. Our hypothesis was that the method would yield a higher diagnostic accuracy in the pre-operative workup than synovial fluid culture. Thus, a more precise classification of septic and aseptic prosthesis failure could be achieved before revision surgery.

methodsProspectively collected frozen joint fluid specimens from 26 patients undergoing arthroplasty revision surgery of the hip or knee were tested as per the manufacturer's protocol. Sensitivities, specificities, positive and negative predictive values as well as positive and negative likelihood ratios with corresponding confidence intervals were estimated using the statistical software R. A combination of the serum C-reactive protein (CRP) level, leukocyte count, erythrocyte sedimentation rate, joint fluid culture, tissue biopsy culture, and tissue biopsy histology served as the gold standard.

resultsOf the 26 patients included in the study, 15 were infected and 11 were aseptic. Conventional joint fluid culture showed a sensitivity of 0.67 and a specificity of 0.91. Joint fluid multiplex PCR yielded a sensitivity of 0.8 and a specificity of 1.0.

conclusionsUsing the second-generation Unyvero ITI cartridge on joint fluid aspirate for the detection of prosthetic joint infection, we were able to achieve a higher diagnostic accuracy than with conventional culture. We conclude that to improve pathogen detection before revision surgery, this method represents a valuable and practicable tool.

Indexed as

Arthroplasty, Replacement, HipProsthesis-Related InfectionsBiomarkersGermanyHumansMultiplex Polymerase Chain ReactionSensitivity and SpecificitySynovial FluidBiomarkersAgentArthrocentesisBacteriaBacterialCausative organismDetectionDiagnosisDNAPJIPolymerase chain reaction, diagnosticPre-operativeSynovial fluid

Identifiers

PMID32296908
PMCPMC7452934
OpenAlexW3016413696

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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.