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Univariate binary logistic regression analysis for high cIMT and high BASDAI value prediction.
| Factors (Univariate Analysis) | B (SE) |
Wald Coeff. | OR (95% CI) |
p |
|---|---|---|---|---|
| cIMT | ||||
| Age–glucometabolic-related factor | 2.084 (0.500) | 17.359 | 8.035 (3.015–21.414) | <0.001 |
SE, standard error; OR, odds ratio (95th CI, confidence interval); p, binary logistic regression analysis. Abbreviations: cIMT, carotid intima–media thickness.
