Literature DB >> 22135023

A comprehensive microbiological evaluation of fifty-four patients undergoing revision surgery due to prosthetic joint loosening.

Geir Bjerkan1,2, Eivind Witsø1,2, Anne Nor3, Trond Viset4, Kirsti Løseth3, Stian Lydersen5, Leif Persen2, Kåre Bergh3,6.   

Abstract

The diagnosis of a chronic prosthetic joint infection (PJI) is challenging, and no consensus exists regarding how best to define the criteria required for microbiological identification. A general view is that culture of periprosthetic biopsies suffers from inadequate sensitivity. Recently, molecular analyses have been employed in some studies but the specificity of molecular analyses has been questioned, mainly due to contamination issues. In a prospective study of 54 patients undergoing revision surgery due to prosthetic joint loosening, we focused on two aspects of microbiological diagnosis of chronic PJI. First, by collecting diagnostic specimens in a highly standardized manner, we aimed at investigating the adequacy of various specimens by performing quantitative bacteriological culture. Second, we designed and performed real-time 16S rRNA gene PCR analysis with particular emphasis on minimizing the risk of false-positive PCR results. The specimens analysed included synovial fluid, periprosthetic biopsies from the joint capsule and the interface membrane, and specimens from the surface of the explanted prosthesis rendered accessible by scraping and sonication. No antibiotics were given prior to specimen collection. Based on five diagnostic criteria recently suggested, we identified 18 PJIs, all of which fulfilled the criterion of ≥2 positive cultures of periprosthetic specimens. The rate of culture-positive biopsies from the interface membrane was higher compared to specimens from the joint capsule and synovial fluid, and the interface membrane contained a higher bacterial load. Interpretational criteria were applied to differentiate a true-positive PCR from potential bacterial DNA contamination derived from the reagents used for DNA extraction and amplification. The strategy to minimize the risk of false-positive PCR results was successful as only two PCR results were false-positive out of 216 negative periprosthetic specimens. Although the PCR assays themselves were very sensitive, three patients with low bacterial numbers in periprosthetic specimens tested negative by real-time PCR. This overall lowered sensitivity is most likely due to the reduced specimen volume used for PCR analysis compared to culture and may also be due to interference from human DNA present in tissue specimens. According to the protocol in the present study, 16S rRNA gene real-time PCR did not identify more cases of septic prosthetic loosening than did culture of adequate periprosthetic biopsies.

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Year:  2011        PMID: 22135023     DOI: 10.1099/jmm.0.036087-0

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


  24 in total

1.  Does Preoperative Antimicrobial Prophylaxis Influence the Diagnostic Potential of Periprosthetic Tissues in Hip or Knee Infections?

Authors:  Klemen Bedenčič; Martina Kavčič; Nataša Faganeli; Rene Mihalič; Blaž Mavčič; Jožica Dolenc; Zlatka Bajc; Rihard Trebše
Journal:  Clin Orthop Relat Res       Date:  2015-08-08       Impact factor: 4.176

2.  Evaluation of a Genus- and Group-Specific Rapid PCR Assay Panel on Synovial Fluid for Diagnosis of Prosthetic Knee Infection.

Authors:  Dante P Melendez; Kerryl E Greenwood-Quaintance; Elie F Berbari; Douglas R Osmon; Jayawant N Mandrekar; Arlen D Hanssen; Robin Patel
Journal:  J Clin Microbiol       Date:  2015-11-04       Impact factor: 5.948

3.  Optimal culture incubation time in orthopedic device-associated infections: a retrospective analysis of prolonged 14-day incubation.

Authors:  Nora Schwotzer; Peter Wahl; Dominique Fracheboud; Emanuel Gautier; Christian Chuard
Journal:  J Clin Microbiol       Date:  2013-10-23       Impact factor: 5.948

4.  First experience of a multicenter external quality assessment of molecular 16S rRNA gene detection in bone and joint infections.

Authors:  Chloé Plouzeau; Pascale Bémer; Anne Sophie Valentin; Geneviève Héry-Arnaud; Didier Tandé; Anne Jolivet-Gougeon; Pascal Vincent; Marie Kempf; Carole Lemarié; Jérôme Guinard; Laurent Bret; Anne Sophie Cognée; Sophie Gibaud; Christophe Burucoa; Stéphane Corvec
Journal:  J Clin Microbiol       Date:  2014-11-19       Impact factor: 5.948

5.  Diagnostic value of a PCR-based technique for prosthetic joint infection.

Authors:  Zonghuan Li; Aixi Yu
Journal:  J Clin Microbiol       Date:  2014-06       Impact factor: 5.948

6.  Evaluation of the use of sonication of retrieved implants for the diagnosis of prosthetic joint infection in a routine setting.

Authors:  Laura Prieto-Borja; Álvaro Auñón; Antonio Blanco; Ricardo Fernández-Roblas; Ignacio Gadea; Joaquín García-Cañete; Raúl Parrón; Jaime Esteban
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-12-21       Impact factor: 3.267

7.  Comparison of culture and broad-range polymerase chain reaction methods for diagnosing periprosthetic joint infection: analysis of joint fluid, periprosthetic tissue, and sonicated fluid.

Authors:  Zida Huang; Qiqiao Wu; Xinyu Fang; Wenbo Li; Chaofan Zhang; Huiyi Zeng; Qijin Wang; Jianhua Lin; Wenming Zhang
Journal:  Int Orthop       Date:  2018-02-11       Impact factor: 3.075

8.  Prosthetic joint infections.

Authors:  Saima Aslam; Rabih O Darouiche
Journal:  Curr Infect Dis Rep       Date:  2012-10       Impact factor: 3.725

9.  Meta-analysis of sonication fluid samples from prosthetic components for diagnosis of infection after total joint arthroplasty.

Authors:  Zanjing Zhai; Haowei Li; An Qin; Guangwang Liu; Xuqiang Liu; Chuanlong Wu; Huiwu Li; Zhenan Zhu; Xinhua Qu; Kerong Dai
Journal:  J Clin Microbiol       Date:  2014-02-26       Impact factor: 5.948

10.  Evaluation of 16S rRNA gene PCR sensitivity and specificity for diagnosis of prosthetic joint infection: a prospective multicenter cross-sectional study.

Authors:  Pascale Bémer; Chloé Plouzeau; Didier Tande; Julie Léger; Bruno Giraudeau; Anne Sophie Valentin; Anne Jolivet-Gougeon; Pascal Vincent; Stéphane Corvec; Sophie Gibaud; Marie Emmanuelle Juvin; Genevieve Héry-Arnaud; Carole Lemarié; Marie Kempf; Laurent Bret; Roland Quentin; Carine Coffre; Gonzague de Pinieux; Louis Bernard; Christophe Burucoa
Journal:  J Clin Microbiol       Date:  2014-07-23       Impact factor: 5.948

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