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. 2026 Jul 10;9(5):1244–1253. doi: 10.31662/jmaj.2025-0597

Table 2.

Multiple Linear Regression Analysis of Factors Associated with Total FIM Score at Discharge in All Patients.

Variable B SE 95% CI p Value
Age, years −0.12 0.09 −0.29 to 0.06 0.193
Sex: female 0.90 2.08 −3.20 to 4.99 0.667
BMI, kg/m2 0.45 0.27 −0.08 to 0.97 0.094
Charlson Comorbidity Index −0.36 0.70 −1.74 to 1.02 0.611
Stroke type: hemorrhagic stroke −2.25 2.45 −7.07 to 2.58 0.360
Pre-stroke mRS: 3-4 −9.84 2.72 −15.20 to −4.49 <0.001
NIHSS at admission −0.48 0.15 −0.77 to −0.20 0.001
Serum albumin at admission, g/dL 1.94 2.00 −1.99 to 5.87 0.332
Admission motor FIM score 0.55 0.07 0.42 to 0.68 <0.001
Admission cognitive FIM score 1.58 0.14 1.30 to 1.86 <0.001
Pre-admission polypharmacy −4.70 2.22 −9.07 to −0.33 0.035

Multivariable linear regression analysis was performed with total FIM score at discharge as the dependent variable. 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.