Table 3.
OR (95% CI for OR) | P Value | R 2 | HL Test P Value | |
---|---|---|---|---|
Univariate analysis | ||||
MLD MB (end‐systole) | 0.207 (0.036–1.192) | 0.078 | 0.075 | 0.531 |
MLD MB (end‐diastole) | 0.029 ( 0.003–0.244) | 0.001 | 0.330 | 0.763 |
%DS MB (end‐systole) | 1.035 (0.964–1.090) | 0.191 | 0.040 | 0.581 |
%DS MB (end‐diastole) | 1.222 (1.096–1.363) | <0.001 | 0.446 | 0.270 |
Conventional‐FFR ADO | 0.004 (0.000001–1328.866) | 0.392 | 0.018 | 0.867 |
Conventional‐FFR DOBmax | 0.033 (0.000002–594.865) | 0.495 | 0.011 | 0.169 |
Diastolic‐FFR ADO | 0.127 (0.0001–138.290) | 0.563 | 0.008 | 0.708 |
Diastolic‐FFR DOBmax* | 0.803 (0.701–0.919) | 0.002 | 0.393 | 0.200 |
Model 1. Backward method with %DS MB (end‐diastole) and: | ||||
Conventional‐FFR ADO† | … | … | … | … |
%DS MB (end‐diastole) | 1.227 (1.095–1.376) | <0.001 | 0.468 | 0.795 |
Conventional‐FFR DOBmax† | … | … | … | … |
%DS MB (end‐diastole) | 1.222 (1.096–1.363) | <0.001 | 0.446 | 0.270 |
Diastolic‐FFR ADO† | … | … | … | … |
%DS MB (end‐diastole) | 1.226 (1.093–1.374) | <0.001 | 0.461 | 0.656 |
Diastolic‐FFR DOBmax* , † | 0.851 (0.750–0.967) | 0.013 | 0.586 | 0.436 |
%DS MB (end‐diastole) | 1.201 (1.062–1.358) | 0.004 | 0.586 | 0.436 |
Model 2. Backward method with %DS MB (end‐diastole), conventional‐FFR ADO, and diastolic‐FFR DOBmax | ||||
Diastolic‐FFR DOBmax* | 0.870 (0.767–0.986) | 0.030 | 0.567 | 0.891 |
%DS MB (end‐diastole) | 1.208 (1.065–1.370) | 0.003 | 0.567 | 0.891 |
Dependent variable: stress‐induced wall‐motion abnormalities in the left anterior descending coronary artery territory. Multivariate logistic regression analyses were adjusted for all variables with P≤0.05 in univariate analysis. ADO indicates adenosine; DOBmax, peak dobutamine dose; DS, diameter stenosis; FFR, fractional flow reserve; HL, Hosmer and Lemeshow test; MB, myocardial bridging; MLD, minimal luminal diameter; OR, odds ratio; and R 2, Nagelkerke R square.
Because of small values of diastolic‐FFR DOBmax, in model, this variable is multiplied by 100 to obtain OR with 95% CI that can be evaluated.
Only variable in the model.