Table 1.
Clinical characteristics of the study participants by the mean of serum glycated albumin.
Table 2.
The relationship between serum glycated albumin, hemoglobin A1c, fasting plasma glucose, and plasma glucose 2h after oral glucose tolerance test.
Table 3.
Performance of (A) different cutoffs of serum glycated albumin (GA) alone, (B) impaired fasting glucose (IFG) only, and (C) IFG plus different cutoffs of serum GA, ie. fasting plasma glucose (FPG) < 100 mg/dl and serum GA < cutoffs to exclude diabetes mellitus (DM), and FPG ≥ 126 mg/dl or serum GA ≥ cutoffs to diagnose DM.
Fig 1.
Screening strategies to find diabetes by OGTT.
Proportions of population in specific diagnostic category were shown. (A) By impaired fasting glucose (IFG) criteria, that is, fasting plasma glucose (FPG) < 100 mg/dL (5.56 mmol/L) to exclude and FPG ≥ 126 mg/dL (7.0 mmol/L) to diagnose diabetes. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), false positive rate (FPR), and false negative rate (FNR) for this strategy were 78.8%, 100%, 100%, 98.1%, 0%, and 21.2%, respectively. (B) By serum glycated albumin (GA) at 14% and 17%, the sensitivity, specificity, PPV, NPV, FPR, and FNR for this strategy were 83.3%, 98.2%, 80.9%, 98.5%, 1.8%, and 16.7%, respectively. (C) By combine IFG and GA criteria, that is, FPG < 100 mg/dL (5.56 mmol/L) and GA < 15% to exclude diabetes and FPG ≥ 126 mg/dL (7.0 mmol/L) or GA ≥ 17% to diagnose diabetes. The sensitivity, specificity, PPV, NPV, FPR, and FNR for this strategy were 85.6%, 98.2%, 81.3%, 98.7%, 1.8%, and 14.4%, respectively.
Table 4.
Clinical characteristics of subgroups with false negative or false positive results using GA alone criteria for diagnosis of diabetes, ie. serum GA < 14% to exclude and ≥ 17% to diagnose diabetes.