Retrospective cohort analysis develops a nomogram that improves diabetic retinopathy risk stratification in young patients, integrating clinical parameters effectively.
Key Points
To develop and validate a nomogram for predicting diabetic retinopathy risk in young and middle-aged patients with type 2 diabetes.
Retrospective cohort analysis of 337 T2DM patients aged 15-59 years.
Data collected included demographic characteristics and clinical parameters.
Multivariate logistic regression identified significant predictors and constructed a predictive nomogram.
Four predictors identified: diabetes duration, brachial-ankle pulse wave velocity, blood urea nitrogen, and age.
Developed nomogram demonstrated excellent discrimination with AUC=0.75.
Significant improvement in predictive power over individual predictors, indicating strong calibration and clinical utility.