TABLE 2.
Model Statistics |
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Sequential Models for Composite Events | BMI* Hazard Ratio (95% CI) | p Value | CFR† Hazard Ratio (95% CI) | p Value | Likelihood Ratio Chi-Square | p Value‡ | Harrell’s C-Index |
Multivariable model 1: demographic factors | – | – | – | – | 59.20 | <0.001 | 0.65 |
Multivariable model 2: model 1 + clinical factors | – | – | – | – | 108.67 | <0.001 | 0.71 |
Multivariable model 3: model 2 + BMI | 1.31 (1.05–1.64) | 0.018 | – | – | 114.02 | <0.001 | 0.71 |
Multivariable model 4: model 3 + CFR | 1.20 (0.95–1.50) | 0.125 | 1.95 (1.41–2.69) | <0.001 | 132.17 | <0.001 | 0.74 |
Model 1: adjusted for demographic factors including age, sex, and race. Model 2: adjusted for demographic and clinical factors including age, sex, race, hypertension, diabetes, peripheral vascular disease, chronic obstructive pulmonary disease, tobacco use, atrial fibrillation, estimated glomerular filtration rate, b-blocker use, and left ventricular ejection fraction. Model 3: adjusted for demographic and clinical factors as in model 2, and body mass index (BMI). Model 4: adjusted for demographic, clinical factors and BMI as in model 3, and coronary flow reserve (CFR). No significant interaction was observed between CFR and BMI.
Per +10 U.
Per −1 U.
For likelihood ratio test between sequential models; the first value is for comparison of multivariable model 1 to the univariate analysis of BMI.
CI = confidence interval.