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A 1.5 Hour Procedure for Identification of Enterococcus Species Directly from Blood Cultures
Published on: February 10, 2011
Evaluation of the FilmArray Blood Culture Identification Panel: Results of a Multicenter Controlled Trial
Hossein Salimnia1, Marilynn R Fairfax2, Paul R Lephart3
1Department of Pathology, Wayne State University School of Medicine, Detroit, Michigan, USA DMC University Laboratories, Detroit, Michigan, USA.
Abstract:
Sepsis is a major cause of morbidity, mortality, and increased medical expense. Rapid diagnosis improves outcomes and reduces costs. The FilmArray blood culture identification panel (BioFire Diagnostics LLC, Salt Lake City, UT), a highly multiplexed PCR assay, can identify 24 etiologic agents of sepsis (8 Gram-positive, 11 Gram-negative, and 5 yeast species) and three antimicrobial resistance genes (mecA, vanA/B, and blaKPC) from positive blood culture bottles. It provides results in about 1 h with 2 min for assay setup. We present the results of an eight-center trial comparing the sensitivity and specificity of the panel with those of the laboratories' standard phenotypic identification techniques, as well as with molecular methods used to distinguish Acinetobacter baumannii from other members of the A. calcoaceticus-A. baumannii complex and to detect antimicrobial resistance genes. Testing included 2,207 positive aerobic blood culture samples, 1,568 clinical and 639 seeded. Samples were tested fresh or were frozen for later testing within 8 h after the bottles were flagged as positive by an automated blood culture system. At least one organism was detected by the panel in 1,382 (88.1%) of the positive clinical specimens. The others contained primarily off-panel organisms. The panel reported multiple organisms in 81 (5.86%) positive clinical specimens. The unresolved blood culture identification sensitivity for all target detections exceeded 96%, except for Klebsiella oxytoca (92.2%), which achieved 98.3% sensitivity after resolution of an unavoidable phenotypic error. The sensitivity and specificity for vanA/B and blaKPC were 100%; those for mecA were 98.4 and 98.3%, respectively.
Insights
The FilmArray panel rapidly identifies sepsis pathogens and resistance genes from blood cultures, improving diagnostic accuracy and speed. This molecular test offers high sensitivity and specificity, aiding timely clinical decisions.
Area of Science:
- Clinical Microbiology
- Molecular Diagnostics
- Infectious Diseases
Background:
- Sepsis poses a significant threat to public health, causing high morbidity, mortality, and healthcare costs.
- Timely and accurate diagnosis of sepsis is crucial for improving patient outcomes and reducing economic burden.
- Current diagnostic methods can be time-consuming, delaying appropriate treatment.
Purpose of the Study:
- To evaluate the performance of the FilmArray blood culture identification panel for detecting sepsis pathogens and antimicrobial resistance genes.
- To compare the panel's sensitivity and specificity against standard laboratory identification techniques and molecular methods.
- To assess the panel's utility in a multi-center trial setting.
Main Methods:
- An eight-center trial was conducted using 2,207 positive aerobic blood culture samples (1,568 clinical, 639 seeded).
- The FilmArray panel, a multiplex PCR assay, was used to identify 24 etiologic agents and 3 antimicrobial resistance genes.
- Performance was compared to standard phenotypic identification and other molecular methods.
Main Results:
- The panel detected at least one organism in 88.1% of positive clinical specimens.
- Overall sensitivity for target detections exceeded 96%, with high sensitivity and specificity for antimicrobial resistance genes (mecA, vanA/B, blaKPC).
- The panel provided results in approximately one hour, demonstrating high accuracy for common sepsis pathogens.
Conclusions:
- The FilmArray blood culture identification panel is a highly sensitive and specific tool for rapid sepsis diagnosis.
- The assay significantly reduces turnaround time compared to conventional methods.
- This molecular diagnostic approach can aid in optimizing antimicrobial therapy and improving patient management for sepsis.
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