Figures & data
Table 1. Clinical characteristics of the studied Type 2 diabetes mellitus patients and the two control groups.
Table 2. Laboratory analysis of the laboratory biomarkers among Type 2 diabetes mellitus patients and the two control groups.
Table 3. Logistic regression analysis for predicting the risk of different types of diabetic cardiomyopathy.
AGE: Advanced glycation end-product; AUC: Area under the curve; ROC: Receiver operating characteristic.
![Figure 1. ROC curve and AUC for laboratory biomarkers for prediction of Type 2 diabetes mellitus patients with diastolic dysfunction versus Type 2 diabetes mellitus normal cardiac function.AGE: Advanced glycation end-product; AUC: Area under the curve; ROC: Receiver operating characteristic.](/cms/asset/b3ea000b-8765-4129-a789-b2ee97228d6a/ifso_a_12364396_f0001.jpg)
AGE: Advanced glycation end-product; AUC: Area under the curve; ROC: Receiver operating characteristic.
![Figure 2. ROC curve and AUC for laboratory biomarkers for prediction of Type 2 diabetes mellitus patients with systolic dysfunction versus diastolic dysfunction.AGE: Advanced glycation end-product; AUC: Area under the curve; ROC: Receiver operating characteristic.](/cms/asset/ace8cd1f-4168-4cdb-88c6-592bb2c491f2/ifso_a_12364396_f0002.jpg)
AGE: Advanced glycation end-product; AUC: Area under the curve; ROC: Receiver operating characteristic.
![Figure 3. ROC curve and AUC for laboratory biomarkers for prediction of Type 2 diabetes mellitus patients with diabetic cardiomyopathy versus Type 2 diabetes mellitus normal cardiac function.AGE: Advanced glycation end-product; AUC: Area under the curve; ROC: Receiver operating characteristic.](/cms/asset/6dae3835-a06b-4c33-bdf9-ef02cf670bfa/ifso_a_12364396_f0003.jpg)