Literature DB >> 17545434

Identification of orthopaedic infections using broad-range polymerase chain reaction and reverse line blot hybridization.

Dirk Jan F Moojen1, Sanne N M Spijkers, Corrie S Schot, Marc W Nijhof, H Charles Vogely, André Fleer, Abraham J Verbout, René M Castelein, Wouter J A Dhert, Leo M Schouls.   

Abstract

BACKGROUND: Culture remains the gold standard in the diagnosis of bacterial infection, but molecular biological techniques have yielded promising results. In this study, we validated a combined polymerase chain reaction and reverse line blot hybridization protocol for identifying musculoskeletal infections.
METHODS: Samples were obtained from seventy-six patients undergoing orthopaedic surgery for various aseptic and septic indications. The diagnosis of infection was based on a review of all available clinical and culture data. In addition to routine culture for aerobic and anaerobic growth, samples were analyzed with a broad-range 16S rRNA polymerase chain reaction and subsequent reverse line blot hybridization with use of twenty-eight group, genus, and species-specific oligonucleotide probes.
RESULTS: An infection was diagnosed on the basis of patient data in thirty-one patients. All but one of the patients with a clinical diagnosis of infection had a positive result of the polymerase chain reaction-reverse line blot hybridization. Five of the forty-five patients in whom an infection was not suspected on the basis of patient data had at least one positive result of the polymerase chain reaction-reverse line blot hybridization. Cultures demonstrated microorganisms in twenty-five patients with an infection and in two patients in whom an infection was not suspected on the basis of the patient data. Staphylococcus aureus was the most common organism grown on culture. The species identified by the polymerase chain reaction-reverse line blot hybridization was in full accordance with that grown on culture in all but one patient.
CONCLUSIONS: Polymerase chain reaction-reverse line blot hybridization performed well in detecting and identifying the various bacterial species and was more sensitive than routine culture. It identified Staphylococcus aureus as the most frequently found microorganism. Five patients in whom an infection was not suspected on the basis of the patient data had a positive result of the polymerase chain reaction, which may have been caused by contamination of the samples. However, three of these patients had aseptic loosening of a total hip prosthesis, suggesting the presence of a low-grade bacterial infection that remained undetected by the culture but was detected by the polymerase chain reaction-reverse line blot hybridization. LEVEL OF EVIDENCE: Diagnostic Level III.

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Year:  2007        PMID: 17545434     DOI: 10.2106/JBJS.F.00822

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  24 in total

1.  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

2.  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

3.  PCR diagnostic system in the treatment of prosthetic joint infections.

Authors:  D Jahoda; I Landor; J Benedík; D Pokorný; T Judl; V Barták; I Jahodová; P Fulín; M Síbek
Journal:  Folia Microbiol (Praha)       Date:  2014-12-19       Impact factor: 2.099

4.  Reply to "Diagnostic value of a PCR-based technique for prosthetic joint infection".

Authors:  Zanjing Zhai; Xinhua Qu; Kerong Dai
Journal:  J Clin Microbiol       Date:  2014-06       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

Review 6.  Osteomyelitis: Recent advances in pathophysiology and therapeutic strategies.

Authors:  Mitchell C Birt; David W Anderson; E Bruce Toby; Jinxi Wang
Journal:  J Orthop       Date:  2016-10-26

Review 7.  The painful knee after TKA: a diagnostic algorithm for failure analysis.

Authors:  S Hofmann; G Seitlinger; O Djahani; M Pietsch
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-08-06       Impact factor: 4.342

8.  Lack of Additional Diagnostic Yield of 16s rRNA Gene PCR for Prosthetic Joint Infections.

Authors:  Michael A Lane; Neeraja Ganeshraj; Alice Gu; David K Warren; Carey-Ann D Burnham
Journal:  J Appl Lab Med       Date:  2019-02-26

9.  Increasing risk of revision due to deep infection after hip arthroplasty.

Authors:  Håvard Dale; Geir Hallan; Geir Hallan; Birgitte Espehaug; Leif I Havelin; Lars B Engesaeter
Journal:  Acta Orthop       Date:  2009-12       Impact factor: 3.717

10.  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

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