Multivariable algorithm for differentiating dyskinetic and spastic CPa
| HC (percentile) | STN Injury | No STN Injury | ||||||
|---|---|---|---|---|---|---|---|---|
| PCWM Injury Score, Left | PCWM Injury Score, Left | |||||||
| 0 | 1 | 2 | 3 | 0 | 1 | 2 | 3 | |
| 10th | 93 | 70 | 30 | 8 | 40 | 11 | 2 | 1 |
| 25th | 97 | 87 | 55 | 19 | 66 | 26 | 6 | 2 |
| 50th | 98 | 95 | 78 | 50 | 85 | 51 | 16 | 4 |
| 75th | 99 | 98 | 90 | 66 | 94 | 75 | 35 | 9 |
| 90th | 99 | 99 | 97 | 85 | 98 | 90 | 62 | 23 |
a Values represent percentage probabilities of dyskinetic CP according to the combination of the 3 predictors in the logistic regression model. Children with dyskinetic CP have a larger HC, more commonly have STN injury compared with those with spastic CP, and have lower left-sided PCWM scores. The probability of spastic CP can be determined by taking 100 minus the value in the table.