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|Title:||Performance of glycated albumin for type 2 diabetes and prediabetes diagnosis in a South African population||Authors:||Zemlina, Annalise E.
Kengne, Andre Pascal
Erasmus, Rajiv T
Matsha, Tandi Edith
|Keywords:||Glycated albumin;type 2 diabetes;African population;Cape Town;enzymatic method||Issue Date:||2019||Publisher:||Elsevier||Source:||Zemlina, AE., Barkhuizen, M., Kengne, AP., et al. 2019. Performance of glycated albumin for type 2 diabetes and prediabetes diagnosis in a South African population. Clinica Chimica Acta, 488:122-128. [https://doi.org/10.1016/j.cca.2018.11.005]||Journal:||Clinica Chimica Acta||Abstract:||Objective: To assess the utility of glycated albumin (GA%) as a diagnostic marker of type 2 diabetes and prediabetes in an African population. Methods: GA% levels were determined in a sample of 1294 mixed ancestry adults (74.2% women) residing in Cape Town using an enzymatic method. The participants' glycemic status was based on oral glucose tolerance test (OGTT). Results: The mean age was 47.8 years with a mean body mass index (BMI) of 28.7 kg/m2. Obesity was more pronounced in the screen-detected diabetes and prediabetes groups with mean BMI's of 32.5 kg/m2 and 31.5 kg/ m2 respectively. The optimal thresholds of GA% to diagnose screen-detected diabetes and prediabetes, were 14.90% and 12.75% respectively. For screen-detected diabetes, the C-statistic was higher for HbA1c than GA% (p=.034) with values of 0.899 (95% CI 0.855–0.943) and 0.873 (0.782–0.892) respectively. The agreement detected diabetes, was kappa=0.33 (95% CI 0.26–0.40) and was higher than the agreement for prediabetes, kappa=0.16 (0.11–0.21). The performance of GA% to identify screen-detected diabetes at the optimal threshold of 14.90%, was 64.8% (95% CI 54.1%–74.6%) for sensitivity and 93.5% (92.0%–94.9%) for specificity. GA% was significantly less sensitive, but more specific than HbA1c (at the optimal threshold of 6.15%) for screen-detected diabetes diagnosis (both p≤.002 from McNemar tests for sensitivity and specificity comparisons). Conclusions: GA% performed less well than HbA1c to identify participants with OGTT-diagnosed type 2 diabetes or prediabetes (HbA1c cut-off of 6.15% and 5.95% respectively) in this population.||URI:||http://hdl.handle.net/11189/7512||ISSN:||0009-8981||DOI:||https://doi.org/10.1016/j.cca.2018.11.005|
|Appears in Collections:||HWSci - Journal Articles (DHET subsidised)|
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