Table 3.
Association between clinical and CMRI parameters and all-cause mortality (Cox proportional hazards model)
| Variables | Univariable |
Multivariable |
||
|---|---|---|---|---|
| HR (95% CI) | P-value | HR (95% CI) | P-value | |
| Sex (female) | 1.14 (0.79–1.67) | 0.48 | 1.43 (0.95–2.17) | 0.09 |
| Age | 1.04 (1.02–1.06) | <0.001 | 1.04 (1.02–1.05) | <0.001 |
| Diabetes | 1.43 (0.98–2.08) | 0.07 | – | – |
| Heart failure | 0.83 (0.11–5.78) | 0.83 | – | – |
| Previous myocardial infarction | 1.23 (0.75–2.04) | 0.41 | – | – |
| Future renal transplanta | 0.23 (0.14–0.38) | <0.001 | 0.29 (0.17–0.47) | <0.001 |
| LVMI (g/m2) | 1.00 (0.99–1.01) | 0.30 | – | – |
| LVEDVI (mL/m2) | 1.00 (1.00–1.001) | 0.47 | – | – |
| LVESVI (mL/m2) | 1.01 (1.00–1.02) | 0.11 | – | – |
| LVM/LVEDV (g/mL) | 1.25 (0.49–3.21) | 0.65 | – | – |
| LVEF (%) | 0.99 (0.97–1.01) | 0.18 | – | – |
| LVGLS (%) | 1.10 (1.03–1.16) | 0.003 | 1.08 (1.01–1.16) | 0.03 |
| LVGRS (%) | 0.97 (0.94–0.99) | 0.03 | – | – |
| LVGCS (%) | 1.02 (0.96–1.08) | 0.49 | – | – |
| RVGLS (%) | 1.05 (1.01–1.08) | 0.007 | – | – |
| RVGRS (%) | 0.99 (0.98–1.00) | 0.02 | – | – |
| LAVImin (mL) | 1.03 (1.01–1.04) | 0.002 | – | – |
| LAVImax (mL) | 1.01 (1.00–1.02) | 0.15 | – | – |
| LAEF (%) | 0.97 (0.95–0.99) | 0.001 | 0.98 (0.96–1.00) | 0.03 |
| RAVImin (mL) | 1.01 (1.00–1.03) | 0.13 | – | – |
| RAVImax (mL) | 1.01 (1.00–1.02) | 0.16 | – | – |
| RAEF (%) | 1.00 (0.99–1.02) | 0.75 | – | – |
a
Time-dependent covariate.
The multivariable model was created using pre-specified clinical variables including sex, age, diabetes mellitus, previous MI, heart failure and future renal transplantation, combined with CMRI parameters that significantly associated with mortality on univariable analysis. Backward stepwise elimination (Wald’s) was used to select the optimal variables in the final model displayed here.