Prediabetes subgroups, type 2 diabetes risk, and differential effects of preventive interventions.

Objective: Prior studies have subclassified type 2 diabetes using statistical clustering approaches with clinical data, but few have subclassified prediabetes and assessed effects of preventive interventions. Our objective was to derive prediabetes subgroups based on clinical biomarkers and assess risk for incident diabetes and differential preventive intervention effects within the derived subgroups, with comparison to more simple modeling approaches.

Methods: Baseline data for 3145 participants in the Diabetes Prevention Program trial were used to derive prediabetes subgroups using K-means clustering with data for 22 clinical biomarkers (sex-standardized).

Development and validation of a diabetes risk prediction model with individualized preventive intervention effects.

Objective: Type 2 diabetes risk prediction models lack the option to predict risk conditional on initiating different preventive interventions. Our objective was to develop and validate a diabetes risk prediction model with individualized preventive intervention effects among racially diverse populations.

Methods: The derivation cohort included participants in the Diabetes Prevention Program (DPP) trial randomized to placebo, metformin, or intensive lifestyle intervention (N=2640).

Associations Between Deficit Accumulation Frailty and Baseline Markers of Lifestyle in the U.S. POINTER Trial.

Background: Multidomain lifestyle interventions may have the potential to slow biological aging as captured by deficit accumulation frailty indices. We describe the distribution and composition of the 49-component frailty index developed by the U.S.