Construction of a predictive model for nomogram
VTDR, type 2 diabetes mellitus, T2DM
REGRESSION, TYPE 2 DIABETES MELLITUS, COMPLICATIONS
This study used the multi-factor binary logistic regression method to select the predictive factors and built a nomogram model to predict the incidence of VTDR in T2DM patients using the “rms” package in Rstudio, based on the predictive factors selected from the multiple factor analysis (Nomogram prediction model for VTDR complications in T2DM patients.An example application is as follows: assuming that a 55-year-old (55 points) patient who has been diagnosed with type 2 diabetes mellitus for 10 years (32 points) has a BMI of 20 (40 points), a systolic blood pressure of 160 mmHg (34 points), and an HbA1C of 10% (45 points), his total score would be approximately 206, and the corresponding score would predict that the patient would have a probability of developing VTDR of about 65%.