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

Authors :
Gupta, Rishi K.
Lipman, Marc
Jackson, Charlotte
Sitch, Alice J.
Southern, Jo
Drobniewski, Francis
Deeks, Jonathan J.
Chuen-Yan Tsou
Griffiths, Chris
Davidson, Jennifer
Campbell, Colin
Stirrup, Oliver
Noursadeghi, Mahdad
Kunst, Heinke
Haldar, Pranab
Lalvani, Ajit
Abubakar, Ibrahim
Tsou, Chuen-Yan
Source :
American Journal of Respiratory & Critical Care Medicine; 4/15/2020, Vol. 201 Issue 8, p984-991, 8p
Publication Year :
2020

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 < 0.0001). Over 3 years' follow-up, there was a modest increase in positive predictive value 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 ≥5 mm vs. 4.3% for ≥15 mm). 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 ≥5 mm vs. 28.1% for ≥15 mm).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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1073449X
Volume :
201
Issue :
8
Database :
Complementary Index
Journal :
American Journal of Respiratory & Critical Care Medicine
Publication Type :
Academic Journal
Accession number :
142790027
Full Text :
https://doi.org/10.1164/rccm.201905-0969OC