Table 2.
Multiple Linear Regression Analyses with Backward Elimination to Identify Markers that Predict Carotid Arterial Wall inflammation in PAD patients
| Standardized coefficient β | 95 % confidence interval | p-value | |
|---|---|---|---|
| Glucose-Corrected TBRmean | |||
| Diabetes | 0.357 | 0.068–1.455 | 0.033 |
| BMI | 0.320 | −0.001–0.169 | 0.053 |
| Systolic Blood Pressure | 0.312 | −0.001–0.033 | 0.062 |
| Glucose-Corrected TBRmax | |||
| Diabetes | 0.382 | 0.160–2.006 | 0.023 |
| BMI | 0.311 | −0.005–0.221 | 0.060 |
| Systolic Blood Pressure | 0.285 | −0.003–0.042 | 0.086 |
| Glucose-Corrected TBRmds | |||
| Diabetes | 0.368 | 0.117–2.104 | 0.030 |
| BMI | 0.304 | −0.009–0.234 | 0.068 |
| Systolic Blood Pressure | 0.285 | −0.004–0.045 | 0.090 |
Whole Carotid glucose Corrected Target-to-Background ratio (TBRmean), maximum uptake (TBRmax) and Most Diseased Segment (TBRmds) were the response variables. Explanatory factors comprised Cardiovascular risk factors (age, gender, BMI, smoking, systolic blood pressure, TC/HDL-ratio, CRP and diabetes) and the inflammatory marker CRP. Variables were retained in the model when P < 0.10. Data are standardized coefficient (β) with 95 % confidence intervals (CI)