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. 2020 Jan 3;2020:4739271. doi: 10.1155/2020/4739271

Figure 1.

Figure 1

Receiver operating characteristic curve analysis for macroangiopathy prediction with three different models. Model 1 included traditional macrovascular risk factors such as age, sex, cigarette smoking, body mass index (BMI), HbA1C, systolic blood pressure (SBP), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). Area under the curve (AUC) of Model 1: 0.972, 95% CI: 0.943~1.000, P < 0.001. Model 2 included only adiponectin. AUC of Model 2: 0.714, 95% CI: 0.639~0.789, P < 0.001. Model 3 incorporated Model 1 plus Model 2. AUC of Model 3: 0.984, 95% CI: 0.965~1.000, P < 0.001.