Table 4.
Multivariable regression analysis for the risk of GLP-1 interacting with Age in CAVD.
| Variable | B | S.E. | OR (95% CI) | P |
|---|---|---|---|---|
| Age | 0.251 | 0.026 | 1.285 (1.222–1.351) | <0.001 |
| Fasting glucose | −0.222 | 0.084 | 0.801 (0.679–0.944) | 0.008 |
| HbA1c | 0.437 | 0.143 | 1.549 (1.170–2.050) | 0.002 |
| HDL | −2.071 | 0.601 | 0.126 (0.039–0.409) | 0.001 |
| BUN | 0.221 | 0.108 | 1.247 (1.010–1.540) | 0.040 |
| GLP-1a * Age | <0.001 | |||
| GLP-1a (8.69–12.31) * Age | −0.004 | 0.007 | 0.996 (0.983–1.009) | 0.550 |
| GLP-1a (12.32–16.73) * Age | −0.013 | 0.007 | 0.987 (0.974–1.000) | 0.055 |
| GLP-1a (16.74–39.37) * Age | −0.034 | 0.007 | 0.966 (0.953–0.980) | <0.001 |
| Intercept | −16.334 | 1.962 | <0.001 |
GLP-1a was transformed by dividing GLP-1 into quartiles. GLP-1a was a categorical variable in the model, GLP a* age as an interaction term with the lowest quartile (0.05–8.68) by age as a reference category. Variable(s) entered in multivariable regression analysis: age, male, body mass index, active smoker, alcohol, hypertension, systolic blood pressure, diastolic blood pressure, diabetes, fasting glucose, HbA1c, coronary heart disease, triglycerides, total cholesterol, LDL, HDL, Lipoprotein(a), γ-glutamyl transpeptidase, Blood urea nitrogen, creatinine, eGFR (CKD-EPI), GLP-1a by age. B: unstandardized B coefficient.