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Model of linear regression with backward likelihood ratio elimination for predicting increase in coronary artery calcification
| Difference in CACS (95% CI) | P Value | |
|---|---|---|
| Model adjusted r2 | +0.25 | |
| Model P | <0.001 | |
| Constant | 0.12 | |
| Baseline CACS (log) | 0.38 (0.17–0.54) | <0.001 |
| ΔOPG (log) | 0.28 (0.32–1.92) | 0.006 |
CACS, coronary artery calcification score; CI, confidence interval; ∆OPG, change in osteoprotegerin.
