Table 3.

Multiple Linear Regression Analysis of Factors Associated with FIM Gain in All Patients.

Variable	B	SE	95% CI	p Value
Age, years	−0.12	0.09	−0.29 to 0.05	0.173
Sex: female	0.84	2.04	−3.18 to 4.86	0.681
BMI, kg/m2	0.44	0.26	−0.07 to 0.96	0.093
Charlson Comorbidity Index	−0.37	0.69	−1.72 to 0.99	0.594
Stroke type: hemorrhagic stroke	−2.40	2.41	−7.14 to 2.33	0.319
Pre-stroke mRS: 3-4	−9.40	2.67	−14.66 to −4.14	0.001
NIHSS at admission	−0.47	0.14	−0.75 to −0.19	0.001
Serum albumin at admission, g/dL	1.95	1.96	−1.91 to 5.81	0.320
Admission motor FIM score	−0.46	0.06	−0.59 to −0.33	<0.001
Admission cognitive FIM score	0.62	0.14	0.34 to 0.89	<0.001
Pre-admission polypharmacy	−4.24	2.18	−8.53 to 0.05	0.053

Multiple linear regression analysis was performed with FIM gain as the dependent variable. All variables were entered simultaneously using the forced-entry method. B indicates the unstandardized regression coefficient. FIM gain was defined as discharge total FIM score minus admission total FIM score. Pre-admission polypharmacy was defined as the use of five or more regular pre-admission medications. The reference categories were male sex, ischemic stroke, pre-stroke mRS 0-2, and non-polypharmacy.

BMI: body mass index; CI: confidence interval; FIM: Functional Independence Measure; mRS: modified Rankin Scale; NIHSS: National Institutes of Health Stroke Scale; SE: standard error.