Table 2.
Multivariable binary logistic regression model for Fontaine I vs. II
| PAD I vs. II | |||
|---|---|---|---|
| B (SE) | OR (95% CI) | p value | |
| log (TSP-4) | 0.53 (0.26) | 1.70 (1.02–2.82) | 0.043 |
| Age | − 0.01 (0.01) | 0.99 (0.96–1.02) | 0.407 |
| Gender | 0.29 (0.25) | 1.34 (0.83–2.17) | 0.233 |
| LDL-C (mg/dl) | 0.002 (0.003) | 1.0 (0.99–1.01) | 0.474 |
| Lipoprotein(a) (mg/dl) | 0.07 (0.10) | 1.08 (0.86–1.30) | 0.431 |
| Hypertension | 0.17 (0.43) | 1.12 (0.52–2.74) | 0.684 |
| Diabetes status | 0.11 (0.26) | 1.11 (0.67–1.83) | 0.680 |
| eGFR | − 0.009 (0.007) | 0.99 (0.98–1.01) | 0.238 |
| Smoking | 0.21 (0.36) | 1.23 (0.61–2.47) | 0.565 |
| Constant | − 2.25 (2.00) | 0.261 | |
| Chi-Quadrat 0.456, R2 0.036 | |||
p < 0.05 significant (in bold)