Table 3.
Univariate and multivariable logistic regression models for prediction of red blood cells transfusion.
| Univariate | Multivariable | |||||
|---|---|---|---|---|---|---|
| OR | 95% CI | p Value | OR | 95% CI | p Value | |
| Gender, female | 3.266 | 1.575–6.772 | 0.01 | 1.342 | 0.554–3.249 | 0.52 |
| Age | 1.037 | 1.009–1.066 | 0.01 | 1.022 | 0.986–1.059 | 0.24 |
| HB pre-surgery | 2.937 | 2.231–3.865 | <0.01 | 2.838 | 2.108–3.820 | <0.01 |
| ASA class | 2.431 | 1.527–3.870 | 0.00 | 1.773 | 1.032–3.046 | 0.04 |
| Presence of diabetes | 2.627 | 1.297–5.319 | 0.01 | 1.625 | 0.660–3.999 | 0.29 |
| Use of anticoag/platelets | 1.908 | 1.032–3.54 | 0.05 | 1.713 | 0.782–3.754 | 0.18 |
| Operative time | 1.014 | 1.007–1.021 | 0.00 | 1.016 | 1.007–1.024 | 0.00 |
OR, odds ratio; ASA, American Society of Anesthesiologists classification; HB, hemoglobin.