Table 3. Sensitivities, specificities, positive and negative predictive values of existing syncope rules in predicting composite outcomes.
| Statistics | CSRS (95% CI) | EGSYS (95% CI) | SFSR (95% CI) | ROSE (95% CI) |
| 48-h composite outcomes sensitivity | 0.48 (0.31–0.66) | 0.65 (0.48–0.81) | 0.42 (0.25–0.59) | 0.19 (0.05–0.33) |
| Specificity | 0.76 (0.71–0.81) | 0.50 (0.45–0.56) | 0.89 (0.83–0.91) | 0.91 (0.88–0.94) |
| Positive predictive value | 0.16 (0.88–0.24) | 0.11 (0.06–0.16) | 0.24 (0.12–0.35) | 0.17 (0.05–0.30) |
| Negative predictive value | 0.94 (0.91–0.97) | 0.94 (0.90–0.97) | 0.94 (0.91–0.97) | 0.92 (0.89–0.95) |
| 30-day composite outcomes | ||||
| Sensitivity | 0.72 (0.62–0.83) | 0.65 (0.54–0.76) | 0.30 (0.20–0.41) | 0.55(0.43–0.67) |
| Specificity | 0.67 (0.61–0.72) | 0.53 (0.47–0.59) | 0.88 (0.84–0.92) | 0.67 (0.61–0.72) |
| Positive predictive value | 0.35 (0.27–0.43) | 0.25 (0.19–0.32) | 0.38 (0.25–0.51) | 0.29 (0.21–0.37) |
| Negative predictive value | 0.91 (0.87–0.95) | 0.86 (0.81–0.91) | 0.84 (0.80–0.88) | 0.86 (0.81–0.90) |