Table 3.
Areas under the ROC curve for the five predictors: cross-sectional prediction
| Cross-sectional prediction (Cox Model) | ||||||
|---|---|---|---|---|---|---|
|
| ||||||
| Δt (year) | t (n) (year) | Total motor score | Putamen ICV | Stroop word score | FrSBE-executive subscale | Total functional capacity |
|
| ||||||
| AUC | AUC | AUC | AUC | AUC | ||
| 1 | 2 (n = 531) | 0.71 | 0.73 | 0.70 | 0.71 | 0.69 |
| 4 (n = 276) | 0.68 | 0.72 | 0.68 | 0.68 | 0.68 | |
| 6 (n = 144) | 0.65 | 0.70 | 0.65 | 0.66 | 0.66 | |
|
| ||||||
| 2 | 2 (n = 531) | 0.70 | 0.73 | 0.70 | 0.70 | 0.69 |
| 4 (n = 276) | 0.67 | 0.72 | 0.67 | 0.68 | 0.67 | |
| 6 (n = 144) | 0.64 | 0.69 | 0.65 | 0.65 | 0.65 | |
n is the remaining premanifest HD patients at time t. Predictive utility is evaluated based on the baseline measure of these n patients. Δt is relevant time window, corresponding to different prediction intervals.