Prediction model for rapid estimated glomerular filtration rate decline in type 2 diabetes mellitus

Figure 1 Least absolute shrinkage and selection operator regression analysis for variable selection. All variance inflation factor values were < 3.5, indicating no serious multicollinearity among the selected variables. A: Least absolute shrinkage and selection operator coefficient profiles of the 18 candidate variables plotted against the log(λ) sequence. The optimal λ value of 0.0237 was determined by 10-fold cross-validation, resulting in 12 variables with non-zero coefficients; B: Coefficients of the 12 selected variables at optimal λ. The top three predictors were urine albumin-to-creatinine ratio (0.452), baseline estimated glomerular filtration rate (-0.389), and hemoglobin A1c (0.336).