Grint, D;
Alisjhabana, B;
Ugarte-Gil, C;
Riza, A-L;
Walzl, G;
Pearson, F;
Ruslami, R;
Moore, DAJ;
Ioana, M;
McAllister, S;
et al.
Grint, D; Alisjhabana, B; Ugarte-Gil, C; Riza, A-L; Walzl, G; Pearson, F; Ruslami, R; Moore, DAJ; Ioana, M; McAllister, S; Ronacher, K; Koeseomadinata, RC; Kerry-Barnard, S; Coronel, J; Malherbe, ST; Dockrell, HM; Hill, PC; Van Crevel, R; Critchley, J; TANDEM consortium
(2018)
Accuracy of diabetes screening methods used for people with tuberculosis, Indonesia, Peru, Romania, South Africa.
Bulletin of the World Health Organization, 96 (11).
ISSN 1564-0604
https://doi.org/10.2471/BLT.17.206227
SGUL Authors: Critchley, Julia Pearson, Fiona
Abstract
Objective
To evaluate the performance of diagnostic tools for diabetes mellitus, including laboratory methods and clinical risk scores, in newly-diagnosed pulmonary tuberculosis patients from four middle-income countries.
Methods
In a multicentre, prospective study, we recruited 2185 patients with pulmonary tuberculosis from sites in Indonesia, Peru, Romania and South Africa from January 2014 to September 2016. Using laboratory-measured glycated haemoglobin (HbA1c) as the gold standard, we measured the diagnostic accuracy of random plasma glucose, point-of-care HbA1c, fasting blood glucose, urine dipstick, published and newly derived diabetes mellitus risk scores and anthropometric measurements. We also analysed combinations of tests, including a two-step test using point-of-care HbA1cwhen initial random plasma glucose was ≥ 6.1 mmol/L.
Findings
The overall crude prevalence of diabetes mellitus among newly diagnosed tuberculosis patients was 283/2185 (13.0%; 95% confidence interval, CI: 11.6–14.4). The marker with the best diagnostic accuracy was point-of-care HbA1c (area under receiver operating characteristic curve: 0.81; 95% CI: 0.75–0.86). A risk score derived using age, point-of-care HbA1c and random plasma glucose had the best overall diagnostic accuracy (area under curve: 0.85; 95% CI: 0.81–0.90). There was substantial heterogeneity between sites for all markers, but the two-step combination test performed well in Indonesia and Peru.
Conclusion
Random plasma glucose followed by point-of-care HbA1c testing can accurately diagnose diabetes in tuberculosis patients, particularly those with substantial hyperglycaemia, while reducing the need for more expensive point-of-care HbA1c testing. Risk scores with or without biochemical data may be useful but require validation.
Item Type: |
Article
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Additional Information: |
© 2018 Daniel Grint, Bachti Alisjhabana, Cesar Ugarte-Gil, Anca-Leila Riza, Gerhard Walzl, Fiona Pearson, Rovina Ruslami, David A J Moore, Mihai Ioana, Susan McAllister, Katharina Ronacher, Raspati C Koeseomadinata, Sarah R Kerry-Barnard, Jorge Coronel, Stephanus T Malherbe, Hazel M Dockrell, Philip C Hill, Reinout Van Crevel, Julia A Critchley & on behalf of the TANDEM consortium; licensee the World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization, products or services. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL. |
Keywords: |
11 Medical And Health Sciences, Tropical Medicine |
SGUL Research Institute / Research Centre: |
Academic Structure > Population Health Research Institute (INPH) |
Journal or Publication Title: |
Bulletin of the World Health Organization |
ISSN: |
1564-0604 |
Dates: |
Date | Event |
---|
November 2018 | Published | 29 August 2018 | Published Online | 26 June 2018 | Accepted |
|
Publisher License: |
Creative Commons: Attribution 3.0 IGO |
Projects: |
Project ID | Funder | Funder ID |
---|
305279 | European Commission | UNSPECIFIED | 1U01AI115619-01 | National Institutes of Health | UNSPECIFIED | 7-627-3-167 | Qatar National Research Fund | UNSPECIFIED | UNSPECIFIED | Department of Science and Technology | UNSPECIFIED | UNSPECIFIED | National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research | UNSPECIFIED | UNSPECIFIED | South African Medical Research Council Centre for Tuberculosis Research | UNSPECIFIED |
|
URI: |
https://openaccess.sgul.ac.uk/id/eprint/110039 |
Publisher's version: |
https://doi.org/10.2471/BLT.17.206227 |
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