Title
Accuracy of diabetes screening methods used for people with tuberculosis, Indonesia, Peru, Romania, South Africa
Other title
Précision des méthodes de dépistage du diabète utilisées pour les personnes atteintes de tuberculose en afrique du sud, en Indonésie, au Pérou et en Roumanie] [Precisión de los métodos de diagnóstico de diabetes utilizados en personas con tuberculosis en Indonesia, perú, Rumanía y Sudáfrica
Date Issued
01 November 2018
Access level
open access
Resource Type
journal article
Author(s)
Grint D.
Alisjhabana B.
Ugarte-Gil C.
Riza A.L.
Walzl G.
Pearson F.
Ruslami R.
Ioana M.
McAllister S.
Ronacher K.
Koeseomadinata R.C.
Kerry-Barnard S.R.
Malherbe S.T.
Dockrell H.M.
Hill P.C.
Van Crevel R.
Critchley J.A.
Publisher(s)
World Health Organization
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.
Start page
738
End page
749
Volume
96
Issue
11
Language
English
OCDE Knowledge area
Epidemiología
Endocrinología, Metabolismo (incluyendo diabetes, hormonas)
Enfermedades infecciosas
Scopus EID
2-s2.0-85056107509
PubMed ID
Source
Bulletin of the World Health Organization
ISSN of the container
00429686
Sponsor(s)
This work was supported by the TANDEM project, which is funded by the European Union’s Seventh Framework Programme (FP7/2007–2013) under grant agreement number 305279. GW was supported by National Institutes of Health grant 1U01AI115619-01. GW, SM and KR were also supported by the Department of Science and Technology and National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research. This manuscript was made possible by National Priorities Research Program grant number 7-627-3-167 from the Qatar National Research Fund (a member of Qatar Foundation).
Funding: This work was supported by the TANDEM project, which is funded by the European Union’s Seventh Framework Programme (FP7/2007–2013) under grant agreement number 305279. GW was supported by National Institutes of Health grant 1U01AI115619-01. GW, SM and KR were also supported by the Department of Science and Technology and National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research. This manuscript was made possible by National Priorities Research Program grant number 7-627-3-167 from the Qatar National Research Fund (a member of Qatar Foundation).
Sources of information:
Directorio de Producción Científica
Scopus