Reproducibility of a prediabetes classification in a contemporary population

Area of Science:

• Endocrinology
• Metabolic Disorders
• Diabetes Research

Background:

• Prediabetes and diabetes pose significant global health challenges.
• Accurate and early identification of dysglycemia is crucial for timely intervention.
• High-risk populations require validated screening methods.

Purpose of the Study:

• To determine if combined fasting plasma glucose (FPG) and HbA1c criteria for prediabetes accurately predict dysglycemia on repeat testing.
• To assess the reliability of these markers in identifying individuals with prediabetes or diabetes.

Main Methods:

• Observational study utilizing data from the Vitamin D and Type 2 Diabetes (D2d) study.
• Fasting plasma glucose (FPG) and HbA1c measured at two screening visits (21 days apart).
• Participants classified based on FPG, HbA1c, and 2-hour plasma glucose (2hPG) results.

Main Results:

• Among 1271 participants meeting prediabetes criteria at Visit 1, 98.6% showed dysglycemia on repeat testing.
• 84.5% were confirmed as prediabetic, and 14.1% were reclassified as diabetic.
• 2-hour plasma glucose (2hPG) alone identified 62.6% of those with diabetes.

Conclusions:

• Combined FPG and HbA1c measurements are reliable for detecting dysglycemia in high-risk individuals.
• These markers effectively identify individuals needing further glucose tolerance testing.
• A predictive model aids clinicians in optimizing diabetes screening strategies.