JACC: Cardiovascular Imaging
Original Research
Relationship Between Carotid Disease on Ultrasound and Coronary Disease on CT Angiography
Gerald I. Cohen, Rabeea Aboufakher, Renee Bess, John Frank, Mahmoud Othman, Dennis Doan, Nancy Mesiha, Howard S. Rosman and Susan Szpunar
Table 3
Table 3
Multivariate Analysis, IMT Measurement, and the Probability of a CAC Score >0 or at Least 1 Coronary Artery With Any Evidence of Atherosclerosis on CT After Controlling for Age and Sex
| Odds Ratio | p Value | 95% CI | |
|---|---|---|---|
| Model 1: predicting CAC > 0 | |||
| Age | 1.09 | 0.001 | 1.04–1.14 |
| Male | 4.69 | 0.001 | 1.89–11.61 |
| Avg. of 6 segment mean IMT >0.75 | 2.86 | 0.011 | 1.26–6.44 |
| Model 2: predicting ≥1 diseased coronary vessels | |||
| Age | 1.11 | <0.0001 | 1.05–1.16 |
| Male | 5.09 | 0.001 | 1.98–13.06 |
| Avg. of 6 segment mean IMT >0.75 | 2.22 | 0.058 | 0.98–5.07 |
| Model 3: predicting CAC >0 | |||
| Age | 1.09 | <0.001 | 1.04–1.14 |
| Male | 5.26 | <0.001 | 2.14–12.96 |
| Max IMT ≥1.5 | 2.71 | <0.001 | 1.17–6.28 |
| Model 4: predicting ≥1 diseased coronary vessels | |||
| Age | 1.11 | <0.0001 | 1.06–1.17 |
| Male | 5.58 | <0.0001 | 2.19–14.26 |
| Max IMT ≥1.5 | 2.19 | 0.073 | 0.93–5.16 |
| Model 5: Predicting CAC >0 | |||
| Age | 1.08 | 0.002 | 1.03–1.13 |
| Male | 5.92 | <0.0001 | 2.34–14.95 |
| Plaque present | 5.38 | <0.0001 | 2.1–13.81 |
| Model 6: predicting ≥1 diseased coronary vessels | |||
| Age | 1.11 | <0.0001 | 1.05–1.16 |
| Male | 5.93 | <0.0001 | 2.31–15.2 |
| Plaque present | 2.81 | 0.03 | 1.11–7.10 |
CI = confidence interval; other abbreviations as in Tables 1 and 2.
Advertisement