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Polymerase Chain Reaction Assay Using the Restriction Fragment Length Polymorphism Technique in the Detection of Prosthetic Joint Infections: A Multi-Centered Study Publisher Pubmed



Moshirabadi A1 ; Razi M2 ; Arasteh P3, 4 ; Sarzaeem MM5 ; Ghaffari S6 ; Aminiafshar S7, 8 ; Hosseinian Khosroshahy K9 ; Sheikholeslami FM10, 11
Authors
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Authors Affiliations
  1. 1. Department of Orthopedic Surgery, Atieh Private Hospital, Tehran, Iran
  2. 2. Department of Orthopedic Surgery, Hazrat-e-Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran
  3. 3. Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
  4. 4. Department of MPH, Shiraz University of Medical Sciences, Shiraz, Iran
  5. 5. Department of Orthopedic Surgery, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  6. 6. Department of Orthopedic Surgery, Ziaeian Hospital, Tehran University of Medical Sciences, Tehran, Iran
  7. 7. Department of Infectious Disease, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  8. 8. Fellow of Royal Society of Tropical Medicine and Hygien, London, United Kingdom
  9. 9. Department of Clinical Pathology, Dr. Khosroshahi's Pathobiology Laboratory, Tehran, Iran
  10. 10. Department of Molecular Pathology, National Research Institute of Tuberculosis and Lung Diseases, Shahid Behshti University of Medical Sciences, Tehran, Iran
  11. 11. Department of Molecular Biology, Dr. Khosroshahi's Pathobiology Laboratory, Tehran, Iran

Source: Journal of Arthroplasty Published:2019


Abstract

Background: PCR-RFLP (polymerase chain reaction-restriction fragment length polymorphism) techniques have been used for the diagnosis of bacteria in some infections. In this study, we aimed to evaluate the diagnostic accuracy of PCR for the diagnosis of prosthetic joint infections (PJI) and to identify isolated microorganisms, using the RFLP method. Methods: During January 2015 to January 2018, patients who were suspected of having PJI after arthroplasty surgery or were candidates for revision surgery due to loosening of implant entered the study. Patients who had 1 major criterion or 3 minor criteria for PJI based on the Philadelphia Consensus Criteria (PCC) on Periprosthetic Joint Infection were considered as cases of PJI. Both culture results and PCR findings, were cross compared with results of the PCC (as the gold standard criteria). Results: Overall, 76 samples were included in the study. Mean (standard deviation) age of patients was 66.72 ± 11.82 years. Overall, 57.9% of patients were females. Prevalence of PJI was 50% based on the PCC. Sensitivity, specificity, positive predictive value, negative predictive value, and general efficacy of PCR for detection of PJI was 97.4%, 100%, 100%, 97.4%, and 98.7%, respectively. Sensitivity, specificity, positive predictive value, negative predictive value, and general efficacy of culture was 31.6%, 100%, 65.7%, 100%, and 59.4%, respectively. We isolated a broad range of bacteria using PCR-RFLP including Gram-positive cocci such as Staphylococcus sp., Streptococcus sp., and Enterococcus sp., and Gram-negative bacilli such as Enterobacteriaceae sp., Pseudomonas sp. Citrobacter sp., as well as Chlamydophila pneumonia, Stenotrophomonas maltophilia, Brucella melitensis, non-gonococcal Neisseria, Kingella kingae, Bacteroides ovatus, and Proteus mirabilis from PJI patients. Conclusion: Inhere, for the first time, we showed that PCR-RFLP is a powerful tool for identifying the type of bacteria involved in PJI, and can be used for follow-up of patients suspected of PJI and those with a history of antibiotic use. PCR-RFLP may be able to substantially decrease detection time of PJI among PCR-based methods, while allowing more accurate identification of the bacteria involved. © 2018 Elsevier Inc.