Endocrines
Clinical and Inflammatory Profiles Associated with Diabetes in Adults with Obesity: A Machine Learning Study
By Crina Solomon, Nastaca Alina Palade, Felicia Gabriela Gligor and 9 others.
Abstract
Background
Obesity is strongly associated with type 2 diabetes, but clinical and metabolic characteristics vary among adults with obesity. This cross-sectional study evaluated whether routinely available nonglycemic variables could classify biochemically defined diabetes status at the time of evaluation.
Methods
This retrospective study included 351 adults with obesity, comprising 185 with diabetes and 166 without diabetes. Diabetes was defined by two fasting plasma glucose measurements ≥ 126 mg/dL obtained on separate occasions or an HbA1c value ≥ 6.5%. Complete numerical fasting glucose and HbA1c values were not retained as continuous variables in the analytical database, and insulin-related measures were unavailable. Multivariable logistic regression and four machine learning classifiers were evaluated.
