TABLE 3.
Performance of the Quantitative GLM Model vs the CHIIDA Model in the Training Data set
| Training data set (n = 1126) | GLM | RP | KIIDS-TBI | ||||||
|---|---|---|---|---|---|---|---|---|---|
| <1% | <3% | <5% | <1% | <3% | <5% | <1% | <3% | <5% | |
| High acuity disposition | |||||||||
| Composite outcome | 79 | 76 | 75 | 80 | 80 | 77 | 82 | 80 | 78 |
| No composite outcome | 235 | 130 | 106 | 230 | 230 | 141 | 752 | 314 | 192 |
| Low acuity disposition | |||||||||
| Composite outcome | 3 | 6 | 7 | 2 | 2 | 5 | 0 | 2 | 4 |
| No composite outcome | 809 | 914 | 938 | 814 | 814 | 903 | 292 | 730 | 852 |
| Sensitivity (95% CI) | 0.96 (0.90-0.99) | 0.93 (0.85-0.97) | 0.91 (0.83-0.96) | 0.98 (0.91-1.0) | 0.98 (0.91-1.0) | 0.94 (0.86-0.98) | 1.0 (0.96-1.0) | 0.98 (0.91-1.0) | 0.95 (0.88-0.99) |
| Specificity (95% CI) | 0.77 (0.75-0.80) | 0.88 (0.85-0.89) | 0.90 (0.88-0.92) | 0.78 (0.75-0.80) | 0.78 (0.75-0.80) | 0.86 (0.84-0.89) | 0.28 (0.25-0.31) | 0.70 (0.67-0.73) | 0.82 (0.79-0.84) |
| PPV (95% CI) | 0.25 (0.20-0.30) | 0.37 (0.30-0.44) | 0.41 (0.34-0.49) | 0.26 (0.21-0.31) | 0.26 (0.21-0.31) | 0.35 (0.29-0.42) | 0.10 (0.08-0.12) | 0.20 (0.16-0.25) | 0.29 (0.24-0.35) |
| NPV (95% CI) | 0.996 (0.99-1.0) | 0.99 (0.99-1.0) | 0.99 (0.98-1.0) | 0.998 (0.99-1.0) | 0.998 (0.99-1.0) | 0.99 (0.99-1.0) | 1.0 (0.99-1.0) | 0.997 (0.99-1.0) | 0.995 (0.99-1.0) |
CHIIDA, Children's Intracranial Injury Decision Aid; GLM, generalized linear modeling; KIIDS-TBI, kids intracranial injury decision support tool for traumatic brain injury; NPV, negative predictive value; PPV, positive predictive value; RP, recursive partitioning.