Literature DB >> 30334521

Two interferon gamma release assays for predicting active tuberculosis: the UK PREDICT TB prognostic test study.

Ibrahim Abubakar1, Ajit Lalvani2, Jo Southern3, Alice Sitch4, Charlotte Jackson1, Oluchukwu Onyimadu5, Marc Lipman6, Jonathan J Deeks4, Chris Griffiths7, Graham Bothamley8, Onn Min Kon9, Andrew Hayward10, Joanne Lord5, Francis Drobniewski2.   

Abstract

BACKGROUND: Despite a recent decline in the annual incidence of tuberculosis (TB) in the UK, rates remain higher than in most Western European countries. The detection and treatment of latent TB infection (LTBI) is an essential component of the UK TB control programme.
OBJECTIVES: To assess the prognostic value and cost-effectiveness of the current two interferon gamma release assays (IGRAs) compared with the standard tuberculin skin test (TST) for predicting active TB among untreated individuals at increased risk of TB: (1) contacts of active TB cases and (2) new entrants to the UK from high-TB-burden countries.
DESIGN: A prospective cohort study and economic analysis. PARTICIPANTS AND
SETTING: Participants were recruited in TB clinics, general practices and community settings. Contacts of active TB cases and migrants who were born in high-TB-burden countries arriving in the UK were eligible to take part if they were aged ≥ 16 years. MAIN OUTCOME MEASURES: Outcomes include incidence rate ratios comparing the incidence of active TB in those participants with a positive test result and those with a negative test result for each assay, and combination of tests and the cost per quality-adjusted life-year (QALY) for each screening strategy.
RESULTS: A total of 10,045 participants were recruited between May 2010 and July 2015. Among 9610 evaluable participants, 97 (1.0%) developed active TB. For the primary analysis, all test data were available for 6380 participants, with 77 participants developing active TB. A positive result for TSTa (positive if induration is ≥ 5 mm) was a significantly poorer predictor of progression to active TB than a positive result for any of the other tests. Compared with TSTb [positive if induration is ≥ 6 mm without prior bacillus Calmette-Guérin (BCG) alone, T-SPOT®.TB (Oxford Immunotec Ltd, Oxford, UK), TSTa + T-SPOT.TB, TSTa + IGRA and the three combination strategies including TSTb were significantly superior predictors of progression. Compared with the T-SPOT.TB test alone, TSTa + T-SPOT.TB, TSTb + QuantiFERON® TB Gold In-Tube (QFT-GIT; QIAGEN GmbH, Hilden, Germany) and TSTb + IGRA were significantly superior predictors of progression and, compared with QFT-GIT alone, T-SPOT.TB, TSTa + T-SPOT.TB, TSTa + QFT-GIT, TSTa + IGRA, TSTb + T-SPOT.TB, TSTb + QFT-GIT and TSTb + IGRA were significantly superior predictors of progression. When evaluating the negative predictive performance of tests and strategies, negative results for TSTa + QFT-GIT were significantly poorer predictors of non-progression than negative results for TSTa, T-SPOT.TB and TSTa + IGRA. The most cost-effective LTBI testing strategies are the dual-testing strategies. The cost and QALY differences between the LTBI testing strategies were small; in particular, QFT-GIT, TSTb + T-SPOT.TB and TSTb + QFT-GIT had very similar incremental net benefit estimates.
CONCLUSION: This study found modest differences between tests, or combinations of tests, in identifying individuals who would go on to develop active TB. However, a two-step approach that combined TSTb with an IGRA was the most cost-effective testing option. IMPLICATIONS FOR PRACTICE AND FUTURE RESEARCH: The two-step TSTb strategy, which stratified the TST by prior BCG vaccination followed by an IGRA, was the most cost-effective approach. The limited ability of current tests to predict who will progress limits the clinical utility of tests. The implications of these results for the NHS England/Public Health England national TB screening programme for migrants should be investigated. STUDY REGISTRATION: This study is registered as NCT01162265. FUNDING: The National Institute for Health Research Health Technology Assessment programme.

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Mesh:

Year:  2018        PMID: 30334521      PMCID: PMC6216045          DOI: 10.3310/hta22560

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  11 in total

1.  Comparison of three tests for latent tuberculosis infection in high-risk people in the USA: an observational cohort study.

Authors:  Christine S Ho; Pei-Jean I Feng; Masahiro Narita; Jason E Stout; Michael Chen; Lisa Pascopella; Richard Garfein; Randall Reves; Dolly J Katz
Journal:  Lancet Infect Dis       Date:  2021-09-06       Impact factor: 25.071

2.  Evaluation of Host Protein Biomarkers by ELISA From Whole Lysed Peripheral Blood for Development of Diagnostic Tests for Active Tuberculosis.

Authors:  Harriet N Garlant; Kalaiarasan Ellappan; Matthew Hewitt; Prem Perumal; Simon Pekeleke; Nadina Wand; Jo Southern; Saka Vinod Kumar; Harish Belgode; Ibrahim Abubakar; Sanjeev Sinha; Seshadri Vasan; Noyal Mariya Joseph; Karen E Kempsell
Journal:  Front Immunol       Date:  2022-05-20       Impact factor: 8.786

Review 3.  Clinical application of QuantiFERON-TB Gold in-tube in the diagnosis and treatment of tuberculosis.

Authors:  Guangming Chen; Huabin Wang; Yanhong Wang
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-11-30       Impact factor: 3.267

4.  BCG Vaccination Prevents Reactivation of Latent Lymphatic Murine Tuberculosis Independently of CD4+ T Cells.

Authors:  Harindra D Sathkumara; Saparna Pai; Michel de Jesús Aceves-Sánchez; Natkunam Ketheesan; Mario Alberto Flores-Valdez; Andreas Kupz
Journal:  Front Immunol       Date:  2019-03-21       Impact factor: 7.561

5.  The relationship between social risk factors and latent tuberculosis infection among individuals residing in England: a cross-sectional study.

Authors:  Swaib A Lule; Rishi K Gupta; Maria Krutikov; Charlotte Jackson; Jo Southern; Ibrahim Abubakar
Journal:  BMJ Glob Health       Date:  2020-12

6.  Validation of Differentially Expressed Immune Biomarkers in Latent and Active Tuberculosis by Real-Time PCR.

Authors:  Prem Perumal; Mohamed Bilal Abdullatif; Harriet N Garlant; Isobella Honeyborne; Marc Lipman; Timothy D McHugh; Jo Southern; Ronan Breen; George Santis; Kalaiarasan Ellappan; Saka Vinod Kumar; Harish Belgode; Ibrahim Abubakar; Sanjeev Sinha; Seshadri S Vasan; Noyal Joseph; Karen E Kempsell
Journal:  Front Immunol       Date:  2021-03-16       Impact factor: 7.561

7.  Prevalence of Latent Tuberculosis Infection Among Healthy Young Children and Adolescents and a Two-step Approach for the Diagnosis of Tuberculosis Infection in Chengdu, China.

Authors:  Jihang Jia; Dapeng Chen; Li Liu; Mohd Jaish Siddiqui; Fan Yang; Yu Zhu; Qiong Liao; Shuanghong Luo; Min Shu; Yang Wen; Lihong Gao; Xu Li; Lilin Long; Xiaoshan Peng; Weiran Li; Yang Liu; Wanting Xu; Qian Han; Huaiyong Wu; Jiarong Guo; Xi Du; Qin Guo; Chaomin Wan
Journal:  Pediatr Infect Dis J       Date:  2022-01-01       Impact factor: 3.806

8.  Quantification and prognostic significance of interferon-γ secreting SARS-CoV-2 responsive T cells in hospitalized patients with acute COVID-19.

Authors:  Daniel Pan; Jee Whang Kim; Joshua Nazareth; Sara Assadi; Adam Bellass; Jack Leach; James G Brosnan; Adam Ahmed; Fleur Starcevic; Shirley Sze; Christopher A Martin; Caroline M Williams; Michael R Barer; Amandip Sahota; Prashanth Patel; Andrea Tattersall; Andrea Cooper; Manish Pareek; Pranabashis Haldar
Journal:  J Infect       Date:  2021-11-19       Impact factor: 6.072

9.  Optimal Testing Choice and Diagnostic Strategies for Latent Tuberculosis Infection Among US-Born People Living with Human Immunodeficiency Virus (HIV).

Authors:  April C Pettit; Jason E Stout; Robert Belknap; Constance A Benson; Marie Nancy Séraphin; Michael Lauzardo; David J Horne; Richard S Garfein; Fernanda Maruri; Christine S Ho
Journal:  Clin Infect Dis       Date:  2021-10-05       Impact factor: 9.079

10.  Effectiveness of nationwide programmatic testing and treatment for latent tuberculosis infection in migrants in England: a retrospective, population-based cohort study.

Authors:  Luis C Berrocal-Almanza; Ross J Harris; Simon M Collin; Morris C Muzyamba; Olivia D Conroy; Adil Mirza; Anne-Marie O'Connell; Lynn Altass; Sarah R Anderson; H Lucy Thomas; Colin Campbell; Dominik Zenner; Nick Phin; Onn Min Kon; E Grace Smith; Ajit Lalvani
Journal:  Lancet Public Health       Date:  2022-03-23
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