Table 4. Binary logistic regression analysis of the associations between different risk factors for CAD in obese and normal-weight subjects.
Nob-DM | Ob-DM | ||||
---|---|---|---|---|---|
Model | Independent variable | OR(95% CI) | P | OR(95% CI) | P |
Model 1 | C-peptide, ng/mL | 1.734(1.242–2.421) | 0.001 | 1.311(1.002–1.715) | 0.049 |
Model 2 | C-peptide, ng/mL | 1.767(1.258–2.483) | 0.001 | 1.303(0.989–1.715) | 0.060 |
Model 3 | C-peptide, ng/mL | 1.872(1.240–2.826) | 0.003 | 1.435(1.014–2.031) | 0.041 |
Model 4 | C-peptide, ng/mL | 1.686(1.031–2.757) | 0.037 | 1.488(1.002–2.210) | 0.049 |
Model 1: not adjusted
Model 2: adjusted for age, gender and BMI
Model 3: adjusted for age, gender, BMI, duration of T2DM, history of insulin secretagogues treatment, insulin treatment and other anti-diabetic medications, fasting glucose, fasting plasma insulin and hypoglycaemic episodes
Model 4: adjusted for age, gender, BMI, duration of T2DM, history of insulin secretagogues treatment, insulin treatment and other anti-diabetic medications, fasting glucose, fasting plasma insulin, hypoglycaemic episodes, smoking and drinking statuses, UA, eGFR, hypertension and dyslipidemia
UA, uric acid; eGFR, estimated glomerular filtration rate