Makoto Tokunaga, MD, PhD, Katsuhiko Sannomiya. RPT, Ryoji Nakanishi, MD, PhD,
Hiroyuki Yonemitsu, MD, PhD
Jpn J Compr Rehabil Sci 6: 14-20, 2015
Objective: To compare the prediction accuracy of
multiple regression analyses for predicting the
discharge FIM score in stroke patients reported to date
in Japan.
Methods: The subjects were 1,229 stroke cases in
Kaifukuki rehabilitation wards registered in the Japan
Rehabilitation Database (2014). The subject patient
data was inputted into the six types of prediction
formulas described in four reports, and prediction
values were obtained. The residuals between the
measured values and predicted values were then
analyzed.
Results: The residuals were the smallest in the
prediction equation of Jeong et al. (mean 0.44 ± 15.60;
median - 0.16), Sonoda et al. (mean 0.26 ± 13.49;
median 1.22), and Iwai et al. (mean - 0.92 ± 15.85;
median - 2.09). Further, the residuals of the prediction
equation of Sonoda et al. which uses the reciprocal of
motor FIM at admission as the explanatory variable,
and those of the two equations of Inouye, were larger
compared to the three prediction equations above.
Conclusion: It is necessary to assess the external
validity of the reported multiple regression analyses,
and to compare them against other prediction equations.
Key words: multiple regression analysis, external validity, FIM at discharge, stroke, compariso