Table 2.
LASSO-derived multivariable logistic regression for predicting CAC progression in subjects with baseline zero score.
| Coefficient | OR | 95% CI | P-value | |
|---|---|---|---|---|
| LASSO-selected 10 variable | ||||
| Sex (%) | 1.086 | 2.962 | 1.387–6.325 | 0.005 |
| Age (year) | 0.056 | 1.057 | 1.020–1.095 | 0.002 |
| Hypertension (%) | 0.639 | 1.896 | 1.099–3.269 | 0.021 |
| Smoking (%) | 0.276 | 1.318 | 0.738–2.353 | 0.350 |
| GGT (U/L) | 0.002 | 1.002 | 0.999–1.005 | 0.250 |
| CRP (mg/dL) | 0.336 | 1.399 | 0.923–2.123 | 0.114 |
| HDL-C (mg/dL) | −0.014 | 0.986 | 0.961–1.011 | 0.260 |
| Cholesterol (mg/dL) | 0.009 | 1.009 | 1.002–1.016 | 0.009 |
| Waist circumference (cm) | 0.007 | 1.007 | 0.973–1.041 | 0.697 |
| Follow-up period (year) | 0.272 | 1.313 | 1.186–1.454 | <0.001 |
| LASSO-derived model | ||||
| Prediction model | 5.256 | 191.667 | 47.062–780.597 | <0.001 |
LASSO, least absolute shrinkage and selection operator; CAC, coronary artery calcium; GGT, gamma-glutamyl transferase; CRP, c-reactive protein; HDL-C, high-density lipoprotein cholesterol; OR, odds ratio; CI, confidence interval.