Table 3.
Clinical utility of different strategies in detecting dysglycemia preconception among 946 Asian women who provided both BMI and HbA1C measures (105 out of 946 women with HbA1c measure had dysglycemia).
| Positive predictive value (%) | Negative predictive value (%) | Number to proceed to OGTT (% of all screened) | Number of dysglycemia identified (% of all dysglycemia) | Number of dysglycemia cases missed (% of all dysglycemia) | ||
|---|---|---|---|---|---|---|
| 1. | HbA1c ≥ 5.7% | 63.4 | 91.3 | 41 (4.3%) | 26 (24.8%) | 79 (75.2%) |
| 2. | BMI ≥ 23 kg/m2 + HbA1c ≥ 5.7% | 17.6 | 94.4 | 433 (45.8%) | 76 (72.4%) | 29 (27.6%) |
| 3. |
BMI ≥ 23 kg/m2 + WHtR ≥90th percentile + Total skinfolds ≥90th percentile + HbA1c ≥ 5.7%† |
18.2 | 94.0 | 395 (42.4%) | 72 (69.2%) | 32 (30.8%) |
| 4. |
BMI ≥ 25 kg/m2 + HbA1c ≥ 5.7% |
23.5 | 94.0 | 277 (29.3%) | 65 (61.9%) | 40 (38.1%) |
| 5. |
BMI ≥ 23 kg/m2 + HbA1c ≥ 5.7% + History‡ |
23.2 | 93.9 | 276 (29.2%) | 64 (61.0%) | 41 (39.0%) |
†n = 932 provided all measurements (104 out of 932 women with dysglycemia). ‡History variables included: Age (>30 years), ethnicity, educational level, smoking history, shift work, menstrual cycle regularity, parity, GDM history, and family history of diabetes.