Literature DB >> 12966281

PCR rapidly detects methicillin-resistant staphylococci periprosthetic infection.

Ivan S Tarkin1, Travis J Henry, Paul I Fey, Peter C Iwen, Steven H Hinrichs, Kevin L Garvin.   

Abstract

Optimal treatment of methicillin-resistant staphylococcal periprosthetic infections is predicated on rapid and reliable detection of these organisms. Culture has served as the gold standard for identification of these organisms despite shortcomings with sensitivity and processing time. The objective of the current study was to investigate a polymerase chain reaction assay aimed at rapid genomic detection of methicillin-resistance in staphylococci (mecA gene). The feasibility of the molecular approach first was validated using a septic arthritis model consisting of 73 synovial fluid samples inoculated with methicillin-resistant staphylococci and four negative controls. MecA polymerase chain reaction then was done on 35 clinical samples from 18 patients obtained at the time of revision arthroplasty. Results of the polymerase chain reaction were compared with culture. MecA polymerase chain reaction successfully predicted the presence of methicillin-resistant staphylococci in the septic arthritis model. In the clinical samples studied, the polymerase chain reaction results were concordant with culture results in 34 of the 35 samples tested. The one discordant result represented a false-positive culture result. The molecular assay was processed in less than 5 hours compared with 2 to 3 days for culture. Detection of methicillin-resistant staphylococci involved in periprosthetic infections by the polymerase chain reaction is a rapid and reliable approach.

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Year:  2003        PMID: 12966281     DOI: 10.1097/01.blo.0000087323.60612.5d

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


  14 in total

Review 1.  [Molecular pathological diagnostics of infections in orthopedic pathology].

Authors:  J Kriegsmann; N Arens; C Altmann; M Kriegsmann; R Casadonte; M Otto
Journal:  Pathologe       Date:  2014-11       Impact factor: 1.011

Review 2.  Current diagnostic tools for methicillin-resistant Staphylococcus aureus infections.

Authors:  Julianna Kurlenda; Mariusz Grinholc
Journal:  Mol Diagn Ther       Date:  2010-04-01       Impact factor: 4.074

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.  Management of septic arthritis: a systematic review.

Authors:  C J Mathews; G Kingsley; M Field; A Jones; V C Weston; M Phillips; D Walker; G Coakley
Journal:  Ann Rheum Dis       Date:  2007-01-12       Impact factor: 19.103

5.  Septic arthritis: patients with or without isolated infectious agents have similar characteristics.

Authors:  J Madruga Dias; M M Costa; J A Pereira da Silva; M Viana de Queiroz
Journal:  Infection       Date:  2013-12-07       Impact factor: 3.553

6.  Detection of periprosthetic infections with use of ribosomal RNA-based polymerase chain reaction.

Authors:  Patrick F Bergin; Jason D Doppelt; William G Hamilton; Gudrun E Mirick; Angela E Jones; Supatra Sritulanondha; Jeannine M Helm; Rocky S Tuan
Journal:  J Bone Joint Surg Am       Date:  2010-03       Impact factor: 5.284

7.  Synovial fluid biomarkers for periprosthetic infection.

Authors:  Carl Deirmengian; Nadim Hallab; Abdul Tarabishy; Craig Della Valle; Joshua J Jacobs; Jess Lonner; Robert E Booth
Journal:  Clin Orthop Relat Res       Date:  2010-08       Impact factor: 4.176

Review 8.  [Applications of molecular pathology in the diagnosis of joint infections].

Authors:  J Kriegsmann; T Hopf; D Jacobs; N Arens; V Krenn; R Schmitt-Wiedhoff; M Kriegsmann; C Heisel; C Biehl; H Thabe; R P H Schmitz; M Lehmann; M Otto
Journal:  Orthopade       Date:  2009-06       Impact factor: 1.087

9.  Detecting the Presence of Bacterial DNA and RNA by Polymerase Chain Reaction to Diagnose Suspected Periprosthetic Joint Infection after Antibiotic Therapy.

Authors:  Xin-Yu Fang; Wen-Bo Li; Chao-Fan Zhang; Zi-da Huang; Hui-Yi Zeng; Zheng Dong; Wen-Ming Zhang
Journal:  Orthop Surg       Date:  2018-01-30       Impact factor: 2.071

10.  Multiple displacement amplification as an adjunct to PCR-based detection of Staphylococcus aureus in synovial fluid.

Authors:  Sandeep Kathju; Roger S Lasken; Latha Satish; Sandra Johnson; Paul Stoodley; J Christopher Post; Garth D Ehrlich
Journal:  BMC Res Notes       Date:  2010-10-13
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