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T-cell assays for tuberculosis infection: deriving cut-offs for conversions using reproducibility data
Anandharaman Veerapathran1, Rajnish Joshi, Kalyan Goswami
1Department of Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India.
Plos One
|March 28, 2008
Summary
Serial testing with QuantiFERON-TB Gold (QFT) shows moderate to high within-person reproducibility. A 16% increase in IFN-gamma suggests statistically improbable short-term variation, informing QFT conversion criteria.
Area of Science:
- Immunology
- Infectious Diseases
- Diagnostic Assays
Background:
- Interferon-gamma release assays (IGRA) are alternatives to tuberculin skin tests for tuberculosis screening.
- Interpreting serial IGRA results is challenging due to limited evidence on conversion and reversion cut-offs.
- Understanding within-person variability is crucial for serial IGRA testing.
Purpose of the Study:
- To evaluate the short-term reproducibility of the QuantiFERON-TB Gold In Tube (QFT) assay.
- To assess test-retest and within-person variability of QFT results.
- To inform optimal cut-offs for QFT conversions and reversions.
Main Methods:
- Pilot study conducted in India with 14 healthcare workers.
- Four serial QFT tests performed over 12 days (Day 0, 3, 9, 12).
- QFT ELISA repeated twice on the same specimens to assess test-retest reproducibility; continuous IFN-gamma levels analyzed for within-person variability.
Main Results:
- Extremely high test-retest concordance (kappa = 0.94) for dichotomous QFT results.
- Discordance observed around the cut-off point, with both increases and decreases in IFN-gamma.
- Moderate to high within-person reproducibility; negative results generally remained negative, while positive results varied.
- Increases of more than 16% in IFN-gamma levels are statistically improbable in the short-term.
Conclusions:
- Hypothesize that QFT conversion requires a negative-to-positive result change and at least a 30% increase in baseline IFN-gamma.
- Suggests that long-term variability may be at least double short-term variability.
- Larger studies are needed to confirm findings and establish definitive IGRA conversion thresholds.
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