Makoto Tokunaga, MD, PhD, Katsuhiko Sannomiya, PT
Jpn J Compr Rehabil Sci 11: 102-108, 2020
Objective: This study aimed to clarify the
explanatory variables to use in a multiple regression
analysis to predict improvement in the motor
Functional Independence Measure (FIM) during the
hospitalization of patients with severe stroke in a
convalescent rehabilitation ward.
Methods: The subjects of this study were 230
patients with stroke with a motor FIM score of less
than 40 points at admission. In total, 17 factors were
stratified and those with a significant difference in
motor FIM effectiveness between stratified groups
were used as the explanatory variables of a stepwise
regression analysis, which employed the motor FIM
score at discharge as the objective variable.
Results: There were significant differences in
motor FIM effectiveness among the 12 factors. The
10 factors selected through a stepwise regression
analysis were age, cognitive FIM score at admission,
motor FIM score at admission, number of days from
onset to admission, modified Rankin Scale before
onset, Brunnstrom stage of paralyzed lower limb,
body mass index, sitting stability, Japan Coma
Scale, and hemispatial neglect.
Conclusion: It is desirable to use these 10 factors
as explanatory variables in multiple regression
analyses
Key words: stroke, multiple regression analysis, FIM improvement, set of explanatory variables to be used, patients with low FIM scores at admission