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Assays for the Identification of Novel Antivirals against Bluetongue Virus
Published on: October 11, 2013
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Performance evaluation of the high-throughput quantitative Alinity m BK virus assay
Julie W Hirschhorn1, Mark M Sasaki2, April Kegl1
1Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
Journal of Clinical Microbiology
|March 25, 2024
Summary
BK virus (BKV) monitoring is crucial for transplant patients. The Alinity m BKV assay demonstrates high precision and good correlation with existing methods, aiding in patient care.
Area of Science:
- Virology
- Immunology
- Clinical Diagnostics
Background:
- BK virus (BKV) infection or reactivation poses significant risks, including BKV-associated nephropathy (BKVAN) in kidney transplant recipients and BKV-associated hemorrhagic cystitis (BKV-HC) in stem cell transplant recipients.
- Monitoring BKV viral load is essential for effective post-transplant patient management and preventing adverse outcomes.
Purpose of the Study:
- To evaluate the performance characteristics of the Alinity m BKV Investigational Use Only (IUO) assay.
- To compare the Alinity m BKV IUO assay with existing BKV detection methods in clinical specimens.
Main Methods:
- Assessed linearity and precision of the Alinity m BKV IUO assay across a dynamic range (2.0-7.3 Log IU/mL).
- Determined the limit of detection at 50 IU/mL.
- Compared results with ELITech MGB Alert BKV LDT (using DNA and TNA extraction), Altona RealStar BKV, and Roche cobas BKV assays in plasma and urine specimens.
Main Results:
- The Alinity m BKV IUO assay exhibited excellent linearity (correlation coefficient of 1.000) and precision (SD ≤ 0.25 Log IU/mL).
- Achieved 100% detection rate at 50 IU/mL.
- Demonstrated strong correlation coefficients (0.900-0.980) and acceptable mean biases when compared to other BKV assays in plasma and urine.
Conclusions:
- The Alinity m BKV IUO assay performs with high precision across its dynamic range.
- The assay shows good correlation with established BKV detection methods, supporting its utility in clinical settings for viral load monitoring.

