Logistic regression analysis of predictors of CABG
| b5-150 | p Value | Exp(b)5-151 | 95% CI | |
| Age | −0.03 | < 0.83 | 0.97 | 0.91 to 1.04 |
| Sex5-152 | 0.66 | < 0.70 | 1.94 | 0.24 to 14.87 |
| New Zealand score | 0.20 | < 0.04 | 1.21 | 1.06 to 1.41 |
| Parsonnet 2 score5-153 | 0.22 | < 0.09 | 1.25 | 0.88 to 1.75 |
| Specialty5-154 | N/A | < 0.60 | N/A | N/A |
| Cardiology | 1.03 | < 0.79 |
n = 82 because cardiac catherisation data were missing for 18 patients.
↵5-150 Logistic regression equation is 1/1+e (−b1×1 + b2×2 + b3×3...bixi);
↵5-151 a unit change in an independent variable creates a change in the odds of the dependent variable occurring by a factor of this number—a value of 1 indicates no change in the odds;
↵5-152 coded so that being a man is 1 and being a woman is 0;
↵5-153 Parsonnet 2 score without age;
↵5-154 general medicine is referent category as there were no cases from care of the elderly units.