MALAT1 and neuropathy: Among them, blood biomarkers (MALAT1, miR-199b and AGEs) are the key to improve the discrimination ability of the model: the AUC of the simplified model only including clinical indicators (such as neuropathy, blood sugar and course of disease) is 0.682, while the AUC of the model increases to 0.810 after adding biomarkers (P < 0.05), indicating that biomarkers can significantly improve the prediction efficiency.