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Diabet Med ; 29(11): 1385-9, 2012 Nov.
Article in English | MEDLINE | ID: mdl-22414322

ABSTRACT

AIM: To compare American Diabetes Association and International Expert Committee recommended cut-off values of HbA(1c) for detecting the presence of pre-diabetes against plasma glucose values obtained from oral glucose tolerance tests in Asian Indians. METHODS: A cross-sectional randomly sampled population survey involving 2368 adults, aged ≥ 20 years. HbA(1c) was measured on a Bio-Rad 10 system in 1972 subjects. RESULTS: Of the 1972 subjects studied, 329 were detected to have pre-diabetes based on isolated impaired fasting glucose in 125 subjects (6.3%), isolated impaired glucose tolerance in 141 subjects (7.1%) and the presence of both in 63 subjects (3.2%). The HbA(1c) cut-off of 34 mmol/mol (5.7%), as recommended by the American Diabetes Association for detecting the presence of pre-diabetes, showed sensitivity of 62%, specificity 77%, with a positive predictive value of 34.7%, a negative predictive value of 89.5% and accuracy of 67.8%; whereas the HbA(1c) cut-off recommended by the International Expert Committee of 42 mmol/mol (6%) had a sensitivity of 36%, specificity of 90%, positive predictive value of 42.7%, negative predictive of 85.4% and an accuracy of 77%. However, both these HbA(1c) cut-offs underdiagnosed the presence of pre-diabetes in 38 and 64% of these subjects, respectively. CONCLUSIONS: The American Diabetes Association and the International Expert Committee recommended HbA(1c) cut-off values and oral glucose tolerance tests identify different pre-diabetes cohorts. Long-term prospective studies are required to define the usefulness of one over the other.


Subject(s)
Blood Glucose/metabolism , Fasting/blood , Glycated Hemoglobin/metabolism , Prediabetic State/blood , White People , Adult , Community Health Services , Cross-Sectional Studies , Female , Glucose Tolerance Test , Humans , India/epidemiology , Male , Mass Screening , Prediabetic State/epidemiology , Predictive Value of Tests , Reproducibility of Results , White People/statistics & numerical data
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