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. Author manuscript; available in PMC: 2019 Oct 1.
Published in final edited form as: Neurobiol Aging. 2018 May 31;70:117–124. doi: 10.1016/j.neurobiolaging.2018.05.033

Table 2.

Effect of Guanfacine Treatment on Primary and Secondary Outcomes

Outcome Measure Placebo (n=40) 0.1 mg (n=40) 0.5 mg (n=39)
Prefrontal Executive Function (PEF6 z-score)
 Unadjusted Baseline 0.039 −0.084 0.102
 Unadjusted Week 12 0.305 0.053 0.303
 Unadjusted Change 0.266 0.137 0.201
 Adjusted Change 0.270 0.121 0.213
 95% confidence interval 0.159, 0.380 0.011, 0.232 0.101, 0.324
p-Value* –––– 0.06 0.47
Quality of Life (SF-36-MCS)
 Unadjusted Baseline 55.878 56.617 55.462
 Unadjusted Week 12 55.985 55.677 54.638
 Unadjusted Change 0.107 −0.940 −0.824
 Adjusted Change −0.083 −0.618 −0.960
 95% confidence interval −1.725, 1.559 −2.253, 1.017 −2.614, 0.694
 p-Value* –––– 0.65 0.46
Global Function (ADCS-CGIC)
 Worsened (%) 3 (7.5) 4 (10.0) 2 (5.1)
 No Change (%) 25 (62.5) 20 (50.0) 22 (56.4)
 Improved (%) 12 (30.0) 16 (40.0) 15 (38.5)
 Odds Ratio –––– 1.43 1.46
 p-Value** –––– 0.67 0.60

Notes: PEF6 z-score = the mean of z-scores for 6 executive function tasks (CANTAB: Spatial Working Memory, Stockings of Cambridge, Intradimensiona/Extradimensional Shift, Paired Associates Learning; Stroop Color Word Score, Trail Making Test B); SF-36-MCS = Mental Component Score of the 36-Item Short-Form Health Survey (higher scores represent better mental health); ADCS-CGIC scores are for Week 12 compared to baseline. The seven-point scale was collapsed to 3 groups: improved (1–3), no-change (4), and worsening (5–7).

*

p-Values for regression coefficients representing the differences in least squares means between each dosing group and the placebo group. A multivariable linear regression model was employed, whose main predictor was medication treatment group, and whose covariates included baseline score, age, sex, and education.

**

p-Values for regression coefficients representing log odds ratios for each dosing group as compared to the placebo group. A multivariable proportional odds model was employed, whose main predictor is medication treatment group, and whose covariates include age, sex, and education.