Effects of Temporary Functional Deafferentation in Chronic Stroke Patients: Who Profits More?

Table 1

Linear regression models for the outcome variables ∆SSDT, ∆GOT, and ∆VFHT-D2.

Independent variables	∆SSDT; Adj. ^2 = 26%		∆GOT; Adj. ^2 = 12%		ΔVFHT-D2; —
	(95% CI)		(95% CI)
Efficiency of TFD (ΔVFHT-FA)	0.125	0.436	−0.019	0.911	0.028	0.790
Sensory deficit of the stroke-affected index finger	−7.853 (−13.328, −2.157)	0.008	0.072	0.678	−0.137	0.375
Side of stroke (0 = left; 1 = right)	0.181	0.279	−0.293	0.072	−0.248	0.613
Chronicity	−0.058	0.716	0.084	0.619	−0.005	0.933
Age	0.022	0.890	−0.019 (−0.035, −0.003)	0.025	−0.014	0.543
Sex (0 = female; 1 = male)	−25.792 (−46.466, −5.118)	0.020	−0.110	0.515	0.738	0.106
NIHSS	−0.042	0.792	0.182	0.300	0.000	0.636
Constant	8.044	0.394	0.695	0.122	0.435	0.774

ΔSSDT = difference in shape-sorter-drum task (posttest value − pretest value); ΔGOT = difference in grating orientating task (posttest value − pretest value); ΔVFHT-D2 = difference in von Frey hair testing at the index finger (posttest value − pretest value); Adj. ² = (adjusted) accounted variance of the model;  = regression coefficient; CI = confidence interval for significant regressions; ΔVFHT-D2 = difference in von Frey hair testing at forearm (posttest value − pretest value); NIHSS = National Institutes of Health Stroke Scale.