Table 2.
Comparison of patients with and without MACE
| Total (n = 289) |
MACE (+) (n = 49) |
MACE (–) (n = 240) |
P | |
|---|---|---|---|---|
| Age (y) | 66 (59–73) | 67 (59–71) | 66 (59–74) | 0.819 |
| Male sex | 169 (58%) | 32 (65%) | 137 (57%) | 0.365 |
| Obesity | 14 (5%) | 1 (1%) | 13 (5%) | 0.524 |
| Smoking | 62 (21%) | 20 (41%) | 42 (18%) | 0.001* |
| Hypertension | 188 (65%) | 36 (74%) | 152 (63%) | 0.233 |
| Diabetes | 102 (35%) | 29 (59%) | 73 (30%) | < 0.001* |
| Dyslipidaemia | 131 (45%) | 23 (47%) | 108 (45%) | 0.928 |
| Chronic kidney disease | 39 (13%) | 12 (25%) | 27 (11%) | 0.025* |
| CTac | ||||
| AI-CACac | 56 (7–461) | 166 (15–716) | 56 (7–461) | 0.039* |
| log(AI-CACac + 1) | 4.2 (2.2–6.2) | 5.1 (2.8–6.6) | 4.0 (2.1–6.1) | 0.039* |
| > 0 | 271 (94%) | 48 (98%) | 223 (93%) | 0.314 |
| > 10 | 207 (72%) | 41 (84%) | 166 (69%) | 0.060 |
| > 28** | 165 (57%) | 35 (71%) | 130 (54%) | 0.039* |
| > 100 | 136 (47%) | 28 (57%) | 108 (45%) | 0.163 |
| > 400 | 81 (28%) | 17 (35%) | 64 (27%) | 0.334 |
| > 1000 | 35 (12%) | 10 (20%) | 25 (10%) | 0.087 |
|
Age-adjusted risk > 75 percentile† |
84 (29%) | 19 (39%) | 65 (27%) | 0.142 |
| [13N]ammonia PET | ||||
| Stress MBF (mL/min/g) | 2.2 (1.8–2.6) | 2.0 (1.6–2.3) | 2.2 (1.9–2.7) | 0.005* |
| Rest MBF (mL/min/g) | 0.9 (0.7–1.0) | 0.9 (0.7–1.1) | 0.9 (0.7–1.0) | 0.682 |
| MFR | 2.4 (2.0–3.0) | 2.1 (1.8–2.7) | 2.5 (2.0–3.0) | 0.006* |
| MFR < 2.2** | 93 (32%) | 25 (52%) | 68 (30%) | 0.006* |
| Minimal to severe CFC reduction | 133 (46%) | 31 (63%) | 102 (43%) | 0.012* |
|
Mild to severe CFC reduction (= impaired CFC) |
70 (24%) | 20 (41%) | 50 (21%) | 0.005* |
| Moderate to severe CFC reduction | 11 (4%) | 1 (2%) | 10 (4%) | 0.765 |
| Significant ischaemia (SDS ≥ 7) | 48 (17%) | 13 (27%) | 35 (15%) | 0.087 |
| SSS ≥ 5** | 106 (37%) | 27 (56%) | 79 (35%) | 0.010* |
| Stress EF (%) | 58 ± 9 | 57 ± 10 | 59 ± 9 | 0.156 |
| Rest EF (%) | 57 ± 7 | 57 ± 7 | 57 ± 6 | 0.860 |
Data are presented as means ± standard deviations, medians (interquartile ranges) or n (%)
*p < 0.05
**Optimal cutoff obtained by surv_cutpoint function from the survminer package, R statistics
†Hoff et al. Am J Cardiol 2001;87:1335–39