Table 5.
Multivariate logistic regression analysis for prediction of adverse outcome by combining different parameters
| Parameters1 | p value2 | OR (CI 95%) | |
|---|---|---|---|
| Premature birth < 37 | GA_scan | 0.000 | 41.195 (11.89–142.72) |
| UA PI | 0.000 | 0.824 (0.763–0.891) | |
| Premature birth < 30 | MCA PSV | 0.003 | 1.142 (1.047–1.244) |
| UA PI | 0.00 | 21.237 (4.354–103.6) | |
| GA_scan | 0.00 | 0.278 (0.165–0.468) | |
| Cesarean section | UA PI | 0.000 | 14.765 (5.251–41.516) |
| APGAR < 7 | UA PI | 0.038 | 2.21 (1.046–4.667) |
| GA_scan | 0.012 | 0.838 (0.730–0.962) | |
| Weight < 10th centile | UA PI | 0.001 | 4.6 (1.904–11.113) |
| GA_scan | 0.000 | 1.156 (1.081–1.236) | |
| Weight < 3rd centile | MCA PSV | 0.011 | 0.973 (0.954–0.994) |
| UA PI | 0.041 | 2.313 (1.036–5.166) | |
| UCR | 0.003 | 0.325 (0.153–0.688) |
1Parameters that showed highest predictive values for adverse outcome in forward stepwise analysis
2Significant as < 0.05