Key result
HbA1c accurately detects diabetes with an AUC of ~0.85.
Cross-Sectional (n=714)
The study evaluated glycated hemoglobin (HbA1c) as a diagnostic tool for diabetes and pre-diabetes in the Brazilian population. Further, the homeostasis model assessment of insulin resistance (HOMA-IR) was also examined against HbA1c values to identify the most suitable cut-off points for HOMA-IR to predict the risk of diabetes. A cross-sectional study was conducted among 714 randomly selected subjects. HbA1c, fasting, and 2 h plasma glucose values were measured. Insulin resistance estimates were calculated with HOMA-IR. The receiver operating characteristic curve assessed HbA1c performance. The adjusted prevalence rate of diabetes mellitus was 14.7%, and pre-diabetes 14.2%. The optimal HbA1c cut-off value was ≥6.8% for the diagnosis of diabetes, and ≥6.0% for pre-diabetes. The area under the curve using HbA1c was 0.85 (95% CI: 0.80-0.90) for detecting diabetes and 0.61 (95% CI: 0.55-0.67) for pre-diabetes. The optimal HOMA-IR cut-off value was 2.06 for HbA1c at 6.8%. The HbA1c cut-off value of ≥6.8% may be suitable for diagnosing diabetes in the Brazilian population. Our results do not support the use of HbA1c to diagnose pre-diabetes. A HOMA-IR cut-off point of 2.06 was a sensitive marker to assess the risk of diabetes.
No takes yet. Share an insight, caveat, or question.
Moreira et al. (2019) conducted a cross-sectional in Diabetes mellitus and pre-diabetes (n=714). Glycated hemoglobin (HbA1c) was evaluated on Detection of diabetes (AUC 0.85, 95% CI 0.80-0.90). Glycated hemoglobin (HbA1c) was a suitable diagnostic tool for diabetes with an area under the curve of 0.85 (95% CI 0.80-0.90) and an optimal cut-off of ≥6.8%.
Synapse has enriched 5 related papers. Consider them for comparative context: