Understanding and interpreting PRRSV diagnostics in the context of "disease transition stages"
Alexandra Henao-Diaz1, Ju Ji2, Luis Giménez-Lirola1
1Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011. USA.
Abstract:
Herein we review broad issues that affect test performance for agents that produce persistent infections. Using PRRSV as an example, the relationship between "disease transition stages" and "diagnostic transition stages" is discussed using meta-analyses of diagnostic data (n = 4307 results) from the refereed literature to highlight the key issues. Although diagnostic technology will continue to improve, it may be concluded from the analysis that there can be no single best diagnostic approach; rather, the choice of specimen and test must be tailored to the specific testing objective. In most cases, meeting the testing objective(s) will require the use of more than one assay and/or specimen type.
Insights
Selecting the right diagnostic tests for persistent infections like PRRSV is crucial. No single test is best; tailor choices to your objective, often needing multiple assays and specimen types.
Area of Science:
- Veterinary diagnostics
- Infectious disease research
- Animal health
Background:
- Persistent infections pose significant challenges in animal health.
- Accurate diagnostic testing is vital for disease management and control.
- Porcine reproductive and respiratory syndrome virus (PRRSV) serves as a model for persistent infections.
Purpose of the Study:
- To review factors influencing diagnostic test performance in persistent infections.
- To analyze the relationship between disease and diagnostic transition stages using PRRSV data.
- To provide guidance on selecting appropriate diagnostic strategies.
Main Methods:
- Meta-analysis of diagnostic data from 4307 results in the refereed literature.
- Case study using Porcine reproductive and respiratory syndrome virus (PRRSV).
- Review of broad issues affecting test performance.
Main Results:
- Diagnostic test performance is influenced by various factors in persistent infections.
- A clear relationship exists between "disease transition stages" and "diagnostic transition stages".
- No single diagnostic approach is universally optimal.
Conclusions:
- Diagnostic strategies must be tailored to specific testing objectives.
- Effective disease management often requires a combination of assays and specimen types.
- Continued improvement in diagnostic technology is expected but won't eliminate the need for strategic selection.
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