HbA1c Test’s Accuracy as a Predictor for Diabetes with Complications Diagnosis

Abstract

HbA1c levels are the most frequently used test for diagnosis and prognosis of diabetes mellitus. Recent studies have shown the biases this test has in particular cohorts, that was not noted when it was originally accepted by the American Diabetes Association in 2008. This study examined how these biases affect HbA1c’s ability as a predictor for complications that arise due to diabetes in specific cohorts, those of ethnicity, age, weight, and other patient attributes, compared to other established diabetes prognosis tests. We discovered that both glucose and HbA1c share similar biases as predictors for particular cohorts (the high glucose, high BMI, Asian, African, and Hispanic descent cohorts), HbA1c works better as a predictor when it is combined with the results of a glucose test and more characteristics of the patient compared to a HbA1c test alone with fewer variables, and glucose and HbA1c are better predictors for different diseases, respectively, that may arise due to diabetes mellitus.