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. 2019 Feb 4;9:70. doi: 10.1038/s41398-019-0410-0

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