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Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction
Published on: December 3, 2017
Molecular sequencing technologies in the diagnosis and management of prosthetic joint infections
Zakareya Gamie1, Dileep Karthikappallil2, Emane Gamie3
1Northern Institute for Cancer Research, Paul O'Gorman Building, Medical School, Newcastle University, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK; Genomic Medicine - St George's, University of London, Cranmer Terrace, Tooting, London, SW17 0RE; King's College London, Strand, London.
Introduction:
Prosthetic joint infections (PJIs) can be challenging to eradicate and have high morbidity and mortality. Current microbiology culture methods can be associated with a high false-negative rate of up to 50%. Early and accurate diagnosis is crucial for effective treatment, and negative results have been linked to a greater rate of reoperation.
Areas Covered:
There has been increasing investigation of the use of next-generation sequencing (NGS) technology such as metagenomic shotgun sequencing to help identify causative organisms and decrease the uncertainty around culture-negative infections. The clinical importance of the organisms detected and their management, however, requires further study. The polymerase chain reaction (PCR) has shown promise, but in recent years multiple studies have reported similar or lower sensitivity for bacteria detection in PJIs when compared to traditional culture. Furthermore, issues such as high cost and complexity of sample preparation and data analysis are to be addressed before it can move further toward routine clinical practice.
Expert Opinion:
Metagenomic NGS has shown results that inspire cautious optimism - both in culture-positive and culture-negative cases of joint infection. Refinement of technique could revolutionize the way PJIs are diagnosed, managed, and drastically improve outcomes from this currently devastating complication.
Insights
Next-generation sequencing (NGS) shows promise for diagnosing prosthetic joint infections (PJIs), potentially improving outcomes. Further research is needed to refine techniques and address challenges before widespread clinical adoption for PJI diagnosis.
Area of Science:
- Orthopedics
- Infectious Diseases
- Genomics
Background:
- Prosthetic joint infections (PJIs) present significant challenges in eradication, leading to high morbidity and mortality.
- Traditional microbiology culture methods for PJIs exhibit a high false-negative rate (up to 50%), complicating diagnosis and treatment.
- Accurate and early diagnosis of PJIs is critical for effective management and reducing reoperation rates.
Purpose of the Study:
- To explore the utility of next-generation sequencing (NGS) technologies, specifically metagenomic shotgun sequencing, in identifying causative organisms in PJIs.
- To assess the potential of NGS to reduce diagnostic uncertainty in culture-negative PJI cases.
- To review the current status and future prospects of NGS and PCR in PJI diagnostics.
Main Methods:
- Review of current literature on next-generation sequencing (NGS) and polymerase chain reaction (PCR) applications in prosthetic joint infections (PJIs).
- Analysis of reported sensitivities and specificities of NGS and PCR compared to traditional culture methods.
- Discussion of the clinical implications and management strategies for organisms detected by NGS.
Main Results:
- Metagenomic NGS offers potential for improved pathogen detection in both culture-positive and culture-negative PJIs.
- Polymerase chain reaction (PCR) has shown comparable or lower sensitivity than traditional cultures for PJI bacteria detection in recent studies.
- High costs and complexity of sample preparation and data analysis remain barriers for routine clinical implementation of NGS.
Conclusions:
- Metagenomic NGS demonstrates cautious optimism for revolutionizing PJI diagnosis and management.
- Refinement of NGS techniques is crucial for improving outcomes in patients with prosthetic joint infections.
- Further studies are required to establish the clinical importance and management guidelines for NGS-detected organisms in PJIs.
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