Table 3.
Linear regression analysis of global native T1 and ECV.
Native T1 (ms) | ECV (%) | |||||||
---|---|---|---|---|---|---|---|---|
Univariate | Multivariate | Univariate | Multivariate | |||||
(R∧2 = 0.262, P < 0.001) | (R∧2 = 0.162, P = 0.003) | |||||||
Beta | P | Beta | P | Beta | P | Beta | P | |
Age (years) | 0.053 | 0.666 | – | – | 0.287 | 0.017 | 0.303 | 0.010 |
GenderΔ | −0.512 | <0.001 | -0.512 | <0.001 | −0.267 | 0.027 | −0.278 | 0.017 |
BMI (kg/m2) | −0.123 | 0.312 | – | – | −0.067 | 0.586 | – | – |
SBP (mmHg) | 0.011 | 0.929 | – | – | −0.161 | 0.187 | – | – |
DBP (mmHg) | −0.064 | 0.602 | – | – | −0.033 | 0.787 | – | – |
HR (min−1) | 0.052 | 0.671 | – | – | 0.074 | 0.546 | – | – |
LVEF (%) | −0.011 | 0.932 | – | – | 0.197 | 0.106 | – | – |
, For gender, we used 0 to represent for female and 1 to represent for male; ECV, extracelluar volume; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; HR, heart rate; LVEF, left ventricle ejection fraction.