Table 4.
Predictors for treatment response
| Model 1. Post Y-BOCS regressed on Basal Y-BOCS | Model 2. Post Y-BOCS regressed on Basal Y-BOCS and PRS | Model 3. Post Y-BOCS regressed on Basal Y-BOCS, PRS and Age. | |||||||
|---|---|---|---|---|---|---|---|---|---|
| B | CI | p | B | CI | p | B | CI | p | |
| (Intercept) | −2.04E-16 | −0.13 to 0.13 | 1.000 | 0.01 | −0.13 to 0.13 | 1.000 | −3.83E-17 | −0.13 to 0.13 | 1.000 |
| Basal Y- BOCS | 0.74 | 0.61 to 0.87 | <.001* | 0.73 | 0.60 to 0.87 | <.001* | 0.75 | 0.62 to 0.89 | <.001* |
| PRS | 0.04 | −0.10 to 0.18 | .552 | 0.03 | −0.11 to 0.16 | .691 | |||
| Age | 0.17 | 0.04 to 0.30 | .009* | ||||||
| Observations | 100 | 100 | 100 | ||||||
| R2/adj. R2 | .551/.547 | .553/.544 | .581/.568 | ||||||
| AIC | 208.677 | 210.324 | 205.691 | ||||||
The predictive abilities of Basal YBOCS, PRS and Age for Post YBOCS arepresented as Beta coefficients (β) from the regressions as well as with theproportion of variance explained by the models (R2/Adj. R2). The model fit isalso reported by the Akaike Information Criterion (AIC). Y-BOCS Yale-Brown obsessive-compulsive scale, PRS polygenic risk score. *p < 0.05