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Usefulness of the prediction method based on a logarithmic model for functional recovery in stroke patients : in case of using the motor-Functional Independence Measure score

KIMURA Y; YAMADA M; HAMANAKA K; TANAKA N; MUROH Y
INT J REHABIL RES , 2017, vol. 40, n° 2, p. 134-137
Doc n°: 183090
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1097/MRR.0000000000000219
Descripteurs : AF21 - ACCIDENTS VASCULAIRES CEREBRAUX, JD - AUTONOMIE - HANDICAP

Predicting functional recovery is important for the rehabilitation of stroke patients. This study aimed to examine the predictive validity of motor items of
Functional Independence Measure (motor-FIM) using the prediction method based on
a logarithmic model.
This prospective observational cohort study included 111
patients with subacute stroke (mean age: 67.0+/-13.8 years). The motor-FIM score
was assessed at admission,
1 month after admission, and at discharge. We
calculated the predictive value of motor-FIM scores at discharge using a
logarithmic model, which used only motor-FIM scores at admission and 1 month
after admission. The relationship between the actual motor-FIM score at discharge
and the predictive value was assessed with the intraclass correlation
coefficient. The motor-FIM score at admission, 1 month after admission, and at
discharge, and the predictive value were 41.9+/-15.0, 52.3+/-18.4, 66.0+/-18.8,
and 65.1+/-21.2, respectively. The predictive value was highly correlated with
the actual motor-FIM score at discharge (intraclass correlation
coefficient=0.89). Our results suggest that we can use the prediction method
based on a logarithmic model for predicting the motor-FIM score at discharge.
This may be useful for designing rehabilitation programs for patients with subacute stroke.

Langue : ANGLAIS

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