The Personalized Approach for Detecting Prediabetes and Diabetes

Area of Science:

• Endocrinology and Metabolism
• Personalized Medicine
• Diabetes Research

Background:

• Type 2 diabetes (T2DM) diagnosis traditionally relies on universal glucose thresholds.
• Evolving research indicates that even 'normal' glucose levels can pose risks for diabetes complications.
• Current diagnostic criteria may not fully capture individual risk profiles.

Purpose of the Study:

• To present a personalized approach for prediabetes and type 2 diabetes detection.
• To explore the rationale and implications of personalized risk assessment for T2DM.
• To advocate for individualized strategies in diabetes screening and intervention.

Main Methods:

• Utilizing a continuum of glucose parameters instead of fixed thresholds.
• Analyzing individual trajectories of glucose progression over time.
• Integrating demographic, clinical, genetic, and environmental factors into risk profiling.

Main Results:

• A personalized approach better reflects the risks associated with diabetes and its complications.
• Individual progression patterns suggest the feasibility of personalized risk profiles.
• Different diagnostic criteria identify distinct T2DM phenotypes, highlighting the need for tailored approaches.

Conclusions:

• A personalized strategy is essential for accurate T2DM risk recognition and effective intervention.
• Individualized profiles based on serial measurements and multifactorial data enhance detection.
• This approach aims to mitigate diabetes complications by identifying high-risk individuals for timely intervention.