Table 2

Best models obtained by multiple regression analyses for the prediction of motor recovery of the arm at 2, 6 ,and 12 months post-stroke from five predictor variables measured at baseline, and for the prediction of motor recovery of the arm at 6 and 12 months post-stroke from five variables measured at 2 months after the onset of stroke

Predictors: baseline		Predictors: 2 months
BFM: 2 months (n=50)
Model: R²=74.28, F=67.88^2-165
Predictors	B	tValue	Added R²
motor performance	1.19	11.49^2-165	70.25
muscle tone	-0.84	-2.72^2-160	4.03
constant	9.71
BFM: 6 months (n=48)		BFM: 6 months (n=40)
Model: R²=60.47, F=34.42^2-165		Model: R² =85.41, F=51.20^2-165
Predictors	B	tValue	Added R²	Predictors	B	tValue	Added R²
motor performance	1.03	6.77^2-165	52.09	motor performance	0.61	6.41^2-165	74.81
SSEP	9.99	3.09^2-160	8.38	MEP	10.06	4.44^2-165	5.78
constant	17.42			overall disability	0.18	2.23^2-150	3.12
				muscle tone	-0.40	0.20^2-150	1.7
				constant	8.43
BFM: 12 months (n=45)		BFM: 12 months (n=37)
Model: R²=58.05, F=29.06^2-165		Model: R²=80.56, F=33.15^2-165
Predictors	B	tValue	Added R²	Predictors	B	tValue	Added R²
motor performance	1.14	6.02^2-165	49.41	motor performance	0.61	4.25^2-165	68.30
SSEP	12.06	2.94^2-160	8.64	MEP	13.09	3.77^2-165	5.27
constant	21.36			muscle tone	-0.66	-2.24^2-150	4.47
				overall disability	0.23	2.04^2-150	2.52
				constant	12.33

B=regression coefficient; BFM=Brunnström-Fugl-Meyer test.
↵2-150 p<0.05;
↵2-160 p<0.01;
↵2-165 p<0.001.