Table 3.
Multivariable Cox regression analysis for all-cause death (n = 481).
| HR (95% CI) | P | |
|---|---|---|
| Model 1a | ||
| Age (per 1-year increase) | 1.04 (1.01–1.07) | 0.023 |
| Male sex | 1.35 (0.78–2.33) | 0.23 |
| BMI (per 1-kg/m2 increase) | 0.93 (0.86–1.00) | 0.054 |
| Hypertension | 2.77 (1.71–4.51) | < 0.001 |
| Diabetes | 1.72 (1.08–2.74) | 0.022 |
| Known CAD | 1.78 (1.07–2.94) | 0.025 |
| LVEF (per 5% increase) | 1.07 (0.95–1.21) | 0.25 |
| LGE | 1.43 (0.89–2.28) | 0.14 |
| Prior inducible myocardial ischaemia | 2.05 (1.27–3.33) | 0.004 |
| Model 2b | ||
| Early revascularization within 90 days after CMR | 1.20 (0.58–2.37) | 0.51 |
| Prior inducible myocardial ischaemia | 1.67 (1.03–2.66) | 0.041 |
BMI: body mass index; CAD: coronary artery disease; CI: confidence interval; CMR: cardiac magnetic resonance; HR: hazard ratio; LGE: late gadolinium enhancement; LVEF: left ventricular ejection fraction.
a
Covariates in model 1 by stepwise variable selection with entry and exit criteria set at the P ≤ 0.1 level: age, male, BMI, hypertension, diabetes, known CAD, LVEF, presence of LGE and prior inducible myocardial ischaemia.
b
Covariates in model 2: model 1 + early revascularization within 90 days after CMR.