Table 3.
Multivariate regression models of global strains predicting total enhanced mass
| Adjusted R2 | AIC | AICC | BIC | Fitness (df) | p-value | ||
|---|---|---|---|---|---|---|---|
| Model 1 | GCS | 0.1830 | 476.60 | 477.11 | 480.47 | 12.20 (1.49) | 0.001 |
| GCS GLS |
0.1972 | 476.66 | 477.53 | 482.45 | 7.14 (2.48) | 0.001 | |
| GCS GLS GRS |
0.1892 | 478.09 | 479.42 | 485.82 | 4.89 (3.47) | 0.004 | |
| Model 2 | GCS | 0.1830 | 476.60 | 477.11 | 480.47 | 12.20 (1.49) | 0.001 |
| GCS GCS R systolic |
0.1686 | 478.44 | 479.31 | 484.24 | 6.07 (2.48) | 0.004 | |
| GCS GCS R systolic GCS R diastolic |
0.1516 | 480.40 | 481.73 | 488.13 | 3.98 (3.47) | 0.013 | |
| Model 3 | GCS LV EDVI |
0.2392 | 437.91 | 474.78 | 479.71 | 8.86 (2.48) | 0.005 |
| GCS GLS GRS LV CI LV EF LV ESVI LV EDVI |
0.2638 | 475.51 | 478.12 | 478.11 | 3.99 (6.44) | 0.002 |
AIC – Akaike information criterion, BIC – Bayesian information criterion, AICC – AIC for small sample size, GLS – global longitudinal strain, GCS – global circumferential strain, GRS – global radial strain, R – rate, LV – left ventricular, EDVI – end-diastolic volume index, CI – cardiac index, EF – ejection fraction, ESVI – end-systolic volume index