Literature DB >> 8895614

The Coventry Award. Polymerase chain reaction detection of bacterial infection in total knee arthroplasty.

B D Mariani1, D S Martin, M J Levine, R E Booth, R S Tuan.   

Abstract

Synovial fluid aspirates from 50 patients with symptoms after total knee arthroplasty were analyzed by means of the polymerase chain reaction for the presence of bacterial deoxyribonucleic acid indicative of infection. Synovial fluid specimens were processed using a rapid bacterial lysis and extraction protocol, subjected to polymerase chain reaction amplification using universal bacterial primers, and polymerase chain reaction products analyzed by deoxyribonucleic acid hybridization methodology. Polymerase chain reaction testing on preoperative aspirates yielded 32 specimens positive for bacterial infection. Standard microbiologic culturing assays performed on the same samples gave 6 positive bacterial infection tests; intraoperative culturing identified 9 additional infected specimens. All culture positive specimens were polymerase chain reaction positive; in contrast, there were no false polymerase chain reaction positives in 21 negative control specimens obtained from aseptic joints. The synovial fluid processing protocol and polymerase chain reaction analysis can be performed with a minimum of time and may provide greater sensitivity than standard diagnostic tests. In view of the high incidence of false negative test results from standard microbiologic assays of synovial fluid specimens, the use of molecular biology based bacterial detection methodology should provide an additional, or alternative, assay to identify infected patient specimens.

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Year:  1996        PMID: 8895614     DOI: 10.1097/00003086-199610000-00003

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  35 in total

1.  Real-time PCR for detection and differentiation of gram-positive and gram-negative bacteria.

Authors:  Sven Klaschik; Lutz E Lehmann; Ansgar Raadts; Malte Book; Andreas Hoeft; Frank Stuber
Journal:  J Clin Microbiol       Date:  2002-11       Impact factor: 5.948

2.  Comparison of different decontamination methods for reagents to detect low concentrations of bacterial 16S DNA by real-time-PCR.

Authors:  Sven Klaschik; Lutz E Lehmann; Ansgar Raadts; Andreas Hoeft; Frank Stuber
Journal:  Mol Biotechnol       Date:  2002-11       Impact factor: 2.695

3.  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

Review 4.  [Diagnostic strategies in cases of suspected periprosthetic infection of the knee. A review of the literature and current recommendations].

Authors:  H Gollwitzer; P Diehl; L Gerdesmeyer; W Mittelmeier
Journal:  Orthopade       Date:  2006-09       Impact factor: 1.087

5.  Broad-range PCR in selected episodes of prosthetic joint infection.

Authors:  F H R De Man; P Graber; M Lüem; W Zimmerli; P E Ochsner; P Sendi
Journal:  Infection       Date:  2009-04-23       Impact factor: 3.553

6.  Improved detection of biofilm-formative bacteria by vortexing and sonication: a pilot study.

Authors:  Hideo Kobayashi; Margret Oethinger; Marion J Tuohy; Gary W Procop; Thomas W Bauer
Journal:  Clin Orthop Relat Res       Date:  2008-11-07       Impact factor: 4.176

7.  PCR-based diagnosis of prosthetic joint infection.

Authors:  Xinhua Qu; Zanjing Zhai; Huiwu Li; Haowei Li; Xuqiang Liu; Zhenan Zhu; You Wang; Guangwang Liu; Kerong Dai
Journal:  J Clin Microbiol       Date:  2013-06-05       Impact factor: 5.948

8.  Molecular identification of bacteria from aseptically loose implants.

Authors:  Naomi Kobayashi; Gary W Procop; Viktor Krebs; Hideo Kobayashi; Thomas W Bauer
Journal:  Clin Orthop Relat Res       Date:  2008-04-26       Impact factor: 4.176

9.  New definition for periprosthetic joint infection: from the Workgroup of the Musculoskeletal Infection Society.

Authors:  Javad Parvizi; Benjamin Zmistowski; Elie F Berbari; Thomas W Bauer; Bryan D Springer; Craig J Della Valle; Kevin L Garvin; Michael A Mont; Montri D Wongworawat; Charalampos G Zalavras
Journal:  Clin Orthop Relat Res       Date:  2011-11       Impact factor: 4.176

10.  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

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