TB Research

Quantitative IFN-γ Release Assay and Tuberculin Skin Test Results to Predict Incident Tuberculosis. A Prospective Cohort Study

Gupta RK, Lipman M, Jackson C, Sitch AJ, Southern J, Drobniewski F, Deeks JJ, Tsou CY, et al. (17 authors)

American journal of respiratory and critical care medicine · 2020-04

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 relinkage to national TB surveillance records (median follow-up 4.7 yr). 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 bacillus Calmette-Guérin [BCG] vaccination). Measurements and Main Results: For all tests, incidence rates and rate ratios increased with the magnitude of the test result ( P Conclusions: Implementation of higher thresholds for QFT-GIT, T-SPOT.TB, and TST modestly increases positive predictive value for incident TB, but markedly reduces sensitivity. Novel biomarkers or validated multivariable risk algorithms are required to improve prediction of incident TB.

MeSH terms

  • Humans
  • Tuberculosis
  • Tuberculin Test
  • Incidence
  • Cohort Studies
  • Prospective Studies
  • Predictive Value of Tests
  • Adult
  • Middle Aged
  • Female
  • Male
  • Latent Tuberculosis
  • Interferon-gamma Release Tests
  • United Kingdom