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Single, community-based blood glucose readings may be a viable alternative for community surveillance of HbA(1c) and poor glycaemic control in people with known diabetes in resource-poor settings

BACKGROUND: The term HbA(1c) (glycated haemoglobin) is commonly used in relation to diabetes mellitus. The measure gives an indication of the average blood sugar levels over a period of weeks or months prior to testing. For most low- and middle-income countries HbA(1c) measurement in community surve...

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Detalles Bibliográficos
Autores principales: Reidpath, Daniel D., Jahan, Nowrozy K., Mohan, Devi, Allotey, Pascale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Co-Action Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980520/
https://www.ncbi.nlm.nih.gov/pubmed/27511810
http://dx.doi.org/10.3402/gha.v9.31691
Descripción
Sumario:BACKGROUND: The term HbA(1c) (glycated haemoglobin) is commonly used in relation to diabetes mellitus. The measure gives an indication of the average blood sugar levels over a period of weeks or months prior to testing. For most low- and middle-income countries HbA(1c) measurement in community surveillance is prohibitively expensive. A question arises about the possibility of using a single blood glucose measure for estimating HbA(1c) and therefore identifying poor glycaemic control in resource-poor settings. DESIGN: Using data from the 2011–2012 US National Health and Nutrition Examination Surveys, we examined the relationship between HbA(1c) and a single fasting measure of blood glucose in a non-clinical population of people with known diabetes (n=333). A linear equation for estimating HbA(1c) from blood glucose was developed. Appropriate blood glucose cut-off values were set for poor glycaemic control (HbA(1c)≥69.4 mmol/mol). RESULTS: The HbA(1c) and blood glucose measures were well correlated (r=0.7). Three blood glucose cut-off values were considered for classifying poor glycaemic control: 8.0, 8.9, and 11.4 mmol/L. A blood glucose of 11.4 had a specificity of 1, but poor sensitivity (0.37); 8.9 had high specificity (0.94) and moderate sensitivity (0.7); 8.0 was associated with good specificity (0.81) and sensitivity (0.75). CONCLUSIONS: Where HbA(1c) measurement is too expensive for community surveillance, a single blood glucose measure may be a reasonable alternative. Generalising the specific results from these US data to low resource settings may not be appropriate, but the general approach is worthy of further investigation.