A novel predictive model for optimizing diabetes screening in older adults.

ABSTRACT:

Introduction

The fasting blood glucose test is widely used for diabetes screening. However, it may fail to detect early-stage diabetes characterized by elevated postprandial glucose levels. Hence, we developed and internally validated a nomogram to predict the diabetes risk in older adults with normal fasting glucose levels.

Materials and methods

This study enrolled 2,235 older adults, dividing them into a Training Set (n = 1,564) and a Validation Set (n = 671) based on a 7:3 ratio. We employed the least absolute shrinkage and selection operator regression to identify predictors for constructing the nomogram. Calibration and discrimination were employed to assess the nomogram's performance, while its clinical utility was evaluated through decision curve analysis.

Results<

SUBMITTER: Lin Y 

PROVIDER: S-EPMC11442884 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature