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Updated: Jul 12, 2026

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres
Published on: October 23, 2011
Evaluation of a fully automated multiplex PCR panel for the microbiological diagnosis of joint infections
Narumi Ueda1, Yasushi Nakamori2, Kazuyuki Okuda3
1Department of Orthopedic Surgery, Japanese Red Cross Wakayama Medical Center, 4-20 Komatsubara-dori, Wakayama-city, Wakayama 640-8558, Japan.
Aims:
Rapid identification of the causative microorganisms of osteoarticular infections is essential for successful treatment. BIOFIRE® FilmArray® Joint Infection Panel (JI panel), a fully automated multiplex PCR panel, can rapidly detect pathogens and antimicrobial resistance genes in the synovial joints in patients with acute osteoarticular infections. Accordingly, this study aimed to evaluate the diagnostic method of the JI panel in patients with osteoarticular infections.
Methods:
Synovial fluid samples were collected from patients with suspected osteoarticular infections. Fifty-five samples from 49 patients were analysed. The JI panel results were compared with those obtained using conventional culture methods.
Results:
The sensitivities of the JI panel and culture for detecting microorganisms were 55 and 61 %, respectively, while the specificities were both 100 %. For patients with osteoarticular infections (n = 23) and positive culture or JI panel, the agreement rate between the JI panel and culture was 65 %. In five samples (22 %), the culture was positive, but the JI panel was negative. In three of the five JI panel-negative specimens (13 %), the bacteria identified in the culture were not included in the panel design. Three culture-negative specimens were JI panel-positive. Significantly higher sensitivity (70 % vs. 55 %; P = 0.008) was observed with the combined JI panel and culture than with the JI panel alone.
Conclusion:
The JI panel is a useful technique to identify causative bacteria rapidly and automatically, but the combination of the JI panel and culture methods is recommended because some pathogens are not included in the JI panel.
Level Of Evidence:
Diagnostic level III.
Insights
The BIOFIRE® FilmArray® Joint Infection Panel (JI panel) offers rapid identification of osteoarticular infection pathogens. Combining the JI panel with conventional culture improves diagnostic sensitivity for comprehensive pathogen detection.
Area of Science:
- Microbiology
- Infectious Diseases
- Molecular Diagnostics
Background:
- Rapid identification of causative microorganisms is crucial for effective treatment of osteoarticular infections.
- The BIOFIRE® FilmArray® Joint Infection Panel (JI panel) is an automated multiplex PCR system for detecting pathogens in synovial fluid.
- Evaluating the diagnostic performance of the JI panel in osteoarticular infections is essential.
Purpose of the Study:
- To assess the diagnostic accuracy of the BIOFIRE® FilmArray® Joint Infection Panel (JI panel) for osteoarticular infections.
- To compare the performance of the JI panel against conventional culture methods.
- To determine the added value of combining both diagnostic approaches.
Main Methods:
- Synovial fluid samples from patients with suspected osteoarticular infections were analyzed.
- Fifty-five samples from 49 patients were tested using the JI panel and conventional culture.
- Results from the JI panel were compared with culture-based identification.
Main Results:
- The JI panel demonstrated 100% specificity, with sensitivities of 55% compared to 61% for culture.
- Agreement between the JI panel and culture was 65% for positive cases.
- Combined JI panel and culture yielded significantly higher sensitivity (70%) than the JI panel alone (55%).
Conclusions:
- The JI panel provides rapid and automated bacterial identification for osteoarticular infections.
- The study recommends combining the JI panel with culture due to limitations in the panel's pathogen coverage.
- Combined methods enhance diagnostic sensitivity, ensuring more comprehensive pathogen detection.
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