Table 3. Predictors of LGE and Perfusion/Metabolism Abnormalities by Logistic Regression.
Presence of LGE |
Presence of perfusion abnormalities |
Presence of metabolism abnormalities |
|||||||
---|---|---|---|---|---|---|---|---|---|
OR | 95% CI | P value | OR | 95% CI | P value | OR | 95% CI | P value | |
Univariate analysis | |||||||||
FT3 | 0.180 | 0.059–0.550 | 0.003 | 0.380 | 0.146–0.991 | 0.048 | 0.338 | 0.126–0.910 | 0.032 |
FT4 | 0.373 | 0.050–2.759 | 0.334 | 0.432 | 0.068–2.729 | 0.372 | 0.644 | 0.088–4.709 | 0.665 |
Log-TSH | 0.982 | 0.930–1.038 | 0.524 | 1.067 | 0.67–1.699 | 0.785 | 1.073 | 0.661–1.743 | 0.774 |
Age | 0.972 | 0.934–1.012 | 0.165 | 0.963 | 0.922–1.005 | 0.085 | 0.981 | 0.942–1.022 | 0.353 |
Male | 0.808 | 0.302–2.164 | 0.671 | 1.053 | 0.388–2.858 | 0.920 | 0.707 | 0.251–1.993 | 0.512 |
LVEF | 0.989 | 0.950–1.030 | 0.609 | 0.973 | 0.932–1.014 | 0.194 | 0.983 | 0.941–1.028 | 0.451 |
BMI | 0.906 | 0.787–1.044 | 0.174 | 0.975 | 0.858–1.107 | 0.693 | 0.866 | 0.737–1.019 | 0.083 |
Diabetes | 2.288 | 0.605–8.656 | 0.223 | 8.750 | 1.053–12.699 | 0.045 | 0.413 | 0.082–2.088 | 0.285 |
Smoking | 0.767 | 0.290–2.029 | 0.593 | 1.169 | 0.436–3.137 | 0.756 | 0.889 | 0.315–2.510 | 0.824 |
Hypertension | 0.481 | 0.175–1.321 | 0.156 | 0.500 | 0.184–1.361 | 0.175 | 0.242 | 0.071–0.828 | 0.024 |
Anemia | 0.365 | 0.036–3.685 | 0.393 | 0.211 | 0.021–2.142 | 0.188 | 0.682 | 0.067–6.937 | 0.746 |
Renal dysfunction | 0.500 | 0.151–1.651 | 0.255 | 0.257 | 0.077–0.859 | 0.027 | 0.450 | 0.113–1.785 | 0.256 |
Dyslipidemia | 0.779 | 0.288–2.111 | 0.624 | 0.693 | 0.254–1.886 | 0.473 | 0.409 | 0.130–1.292 | 0.128 |
Multivariate analysis* | |||||||||
FT3 | 0.140 | 0.035–0.567 | 0.006 | 0.172 | 0.040–0.738 | 0.018 | 0.281 | 0.081–0.971 | 0.045 |
Age | 0.914 | 0.854–0.978 | 0.009 | 0.946 | 0.891–1.004 | 0.070 | |||
Diabetes | 5.925 | 1.005–14.944 | 0.049 | 9.504 | 0.922–17.957 | 0.059 | |||
Renal dysfunction | 0.101 | 0.016–0.648 | 0.016 | ||||||
Hypertension | 0.455 | 0.11–1.876 | 0.276 |
*Significant predictors selected by univariate analysis were just put in. Stepwise strategy was used for other factors, in which predictors with P value < 0.1 were kept.