Table 2.
Multiple logistic regression analysis of diabetic patients for the presence of obstructive disease in the coronary artery
| Obstructive (50%) CAD | |||
|---|---|---|---|
| β (95% CI) | P‐value | AUC(95% CI) | |
| A. Standard risk factors only | 0.720 (0.659–0.774) | ||
| B. Standard risk factors | |||
| +CIMT | 2.319 (0.708–3.99) | 0.005 | |
| Overall | 0.740 (0.679–0.793) | ||
| C. Standard risk factors | |||
| +P‐max | 875 (0.631–1.141) | <0.001 | |
| Overall | 0.820 (0.767–0.864) | ||
| D. Standard risk factors | |||
| +PS | 0.245 (0.171–0.328) | <0.001 | |
| Overall | 0.827 (0.774–0.870) | ||
| E. Standard risk factors | |||
| +CIMT | 0.740 (−1.049 to 2.562) | 0.419 | |
| +P‐max | 0.842 (0.589–1.116) | <0.001 | |
| +(CIMT‐0.888)*(Pmax‐2.1) | −1.399 (−2.677 to −0.111) | 0.031 | |
| Overall | 0.823 (0.770–0.866) | ||
| F. Standard risk factors | |||
| +CIMT | 0.025 (−1.855 to 1.912) | 0.979 | |
| +PS | 0.282 (0.197–0.376) | <0.001 | |
| +(CIMT −0.888)*(PS −5.878) | −0.535 (−0.806 to −0.252) | 0.001 | |
| Overall | 0.833 (0.780–0.874) | ||
Multiple logistic regression analysis for the presence of obstructive (50%) coronary artery disease (CAD) was first constructed to include only standard risk factors (A) – those factors being sex, age, body mass index, duration of diabetes, smoking, presence of hypertension or hyperlipidemia and glycated hemoglobin – and then standard risk factors plus common carotid artery (CIMT) (B) or standard risk factors plus maximum plaque thickness (P‐max) (C) or standard risk factors plus sum of the plaque thickness (PS) (D). In addition to standard risk factors, interaction variables between the markers of carotid atherosclerosis, such as PS, P‐max and CIMT (CIMT* P‐max and CIMT* PS) were also incorporated into this model. β (Log odds ratio), partial regression coefficient; AUC, area under curve; CI, confidence interval.