Quantitative interferon gamma release assay and tuberculin skin test results to predict incident tuberculosis: a prospective cohort study

Rishi Gupta, Marc Lipman, Charlotte Jackson, Alice Sitch, Jo Southern, Francis Drobniewski, Jon Deeks, Chuen-Yan Tsou, Chris Griffiths, Jennifer Davidson, Colin Campbell, Oliver Stirrup, Mahdad Noursadeghi, Heinke Kunst, Pranab Haldar, Ajit Lalvani, Ibrahim Abubakar

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9 Citations (Scopus)
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Abstract

Rationale: Development of diagnostic tools with improved predictive value for tuberculosis (TB) is a global research priority. Objectives: We evaluated whether implementing higher diagnostic thresholds than currently recommended for QuantiFERON Gold-in-Tube (QFT-GIT), T-SPOT.TB and the tuberculin skin test (TST) might improve prediction of incident TB. Methods: Follow-up of a UK cohort of 9,610 adult TB contacts and recent migrants was extended by re-linkage to national TB surveillance records (median follow-up 4.7 years). Incidence rates and rate ratios, sensitivities, specificities and predictive values for incident TB were calculated according to ordinal strata for quantitative results of QFT-GIT, T-SPOT.TB and TST (with adjustment for prior BCG). Measurements and Main Results: For all tests, incidence rates and rate ratios increased with the magnitude of the test result (p<0.0001). Over three years’ follow-up, there was a modest increase in positive predictive value (PPV) with the higher thresholds (3.0% for QFT-GIT ≥0.35 IU/mL vs. 3.6% for ≥4.00 IU/mL; 3.4% for T-SPOT.TB ≥5 spots vs. 5.0% for ≥50 spots; and 3.1% for BCG-adjusted TST ≥5mm vs. 4.3% for ≥15mm). As thresholds increased, sensitivity to detect incident TB waned for all tests (61.0% for QFT-GIT ≥0.35 IU/mL vs. 23.2% for ≥4.00 IU/mL; 65.4% for T-SPOT.TB ≥5 spots vs. 27.2% for ≥50 spots; 69.7% for BCG-adjusted TST ≥5mm vs. 28.1% for ≥15mm). Conclusions: Implementation of higher thresholds for QFT-GIT, T-SPOT.TB and TST modestly increases PPV for incident TB, but markedly reduces sensitivity. Novel biomarkers or validated multivariable risk algorithms are required to improve prediction of incident TB.
Original languageEnglish
JournalAmerican Journal of Respiratory and Critical Care Medicine
Early online date11 Dec 2019
DOIs
Publication statusE-pub ahead of print - 11 Dec 2019

Keywords

  • latent tuberculosis
  • epidemiology
  • screening
  • quantiferon
  • t-spot.tb

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