Denholm, JT;
Coussens, A;
Houben, RMGJ;
Horton, KC;
Wong, EB;
Kendall, EA;
Martinez, L;
... Zaidi, SMA; + view all
(2024)
The International Consensus for Early TB framework (ICE-TB): Implications from a low-incidence setting.
The International Journal of Tuberculosis and Lung Disease
, 28
(8)
pp. 381-386.
10.5588/ijtld.24.0081.
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Abstract
In recent years, there has been increasing recognition of the public health significance of the spectrum of TB disease presentation, and the existing classification systems of asymptomatic infection and symptomatic TB have been limited in terms of explanatory power. Accordingly, in 2022–2023, a new International Consensus framework for Early TB (ICE-TB) was developed, categorising the spectrum of TB infection and disease into five states based on the presence or absence of macroscopic pathology, host infectiousness, and symptoms and signs. We used the ICE-TB framework to re-analyse existing notification data for 2022 within a low-incidence setting to explore the potential utility and future challenges for its public health application. Existing notification data were sufficient to allow substantial reclassification of currently recognised active disease states, but did not systematically capture Mycobacterium tuberculosis infection or subclinical TB. Fifty percent of existing TB notifications would be classified as ‘Clinical, infectious’, with the potential need to consider further subclassification. Our exploration highlighted limitations in existing classification systems and diagnostic approaches and should encourage researchers and programmatic implementers to emphasise person-centred and programmatic needs in the development of new tools for TB management.
| Type: | Article |
|---|---|
| Title: | The International Consensus for Early TB framework (ICE-TB): Implications from a low-incidence setting |
| DOI: | 10.5588/ijtld.24.0081 |
| Publisher version: | https://doi.org/10.5588/ijtld.24.0081 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Mycobacterium tuberculosis infection; diagnostic tools; implementation; subclinical tuberculosis; surveillance |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10209641 |
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