Table 4.

Multiple Linear Regression Analysis of Factors Associated with Total FIM Score at Discharge in Patients Aged ≥65 Years.

Variable	B	SE	95% CI	p Value
Age, years	−0.03	0.16	−0.34 to 0.28	0.850
Sex: female	−2.02	2.35	−6.66 to 2.61	0.391
BMI, kg/m2	0.41	0.33	−0.24 to 1.06	0.213
Charlson Comorbidity Index	−0.42	0.78	−1.96 to 1.13	0.596
Stroke type: hemorrhagic stroke	−4.38	3.03	−10.36 to 1.60	0.150
Pre-stroke mRS: 3-4	−7.45	2.89	−13.14 to −1.76	0.011
NIHSS at admission	−0.37	0.16	−0.68 to −0.05	0.022
Serum albumin at admission, g/dL	2.77	2.47	−2.11 to 7.65	0.265
Admission motor FIM score	0.68	0.08	0.53 to 0.83	<0.001
Admission cognitive FIM score	1.57	0.16	1.26 to 1.88	<0.001
Pre-admission polypharmacy	−5.25	2.49	−10.16 to −0.33	0.037

Multivariable linear regression analysis was performed with total FIM score at discharge as the dependent variable in patients aged ≥65 years. The same covariates as in Table 2 were included in the model. All variables were entered simultaneously using the forced-entry method. B indicates the unstandardized regression coefficient. 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.