These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: 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.
    Author: Kimura Y, Yamada M, Hamanaka K, Tanaka N, Muroh Y.
    Journal: Int J Rehabil Res; 2017 Jun; 40(2):134-137. PubMed ID: 28177943.
    Abstract:
    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.
    [Abstract] [Full Text] [Related] [New Search]