OBJECTIVE: Many elderly patients with hip fracture (HF) present with gait deficits. As such, an HF both indirectly and directly increases the number of elderly people requiring care, making it a major medical and economic problem in an aging society. To facilitate the treatment of HF and attempt to resolve the consequences, we have attempted to derive an equation that would predict gait ability. The prediction equation was developed by multivariate analysis using standard evaluation methods, with inclusion of guaranteed objectivity where possible. We attached greater importance to the prediction of gait ability early in the period of hospitalization, since this allows for early determination of an efficient therapeutic strategy. METHODS: The subjects were 54 HF patients (six men, 48 women; mean age: 78.0 +/- 8.4 years) admitted to general hospitals in Hirosaki, Aomori prefecture, between 1998 and 2007. All were aged 60 years or older and were able to walk immediately before injury; physical therapy was initiated for all individuals during hospitalization. Evaluation items related to physical function, psychological function, and complications that may affect gait were evaluated; these included the manual muscle test, motor age test, Katz's index, dementia (HDS-R), consciousness disturbance, among others. RESULTS: Based on data for 35 patients who could gait at discharge and 19 patients who could not, a model including MAT, HDS-R, and the New York Heart Association classification of cardiac function scores (P < 0.001) was obtained using multiple logistic regression analysis (discriminant hitting ratio: 94.4%). CONCLUSIONS: The effectiveness of the derived model suggests that both physical and psychological functions should be considered for gait prediction.
OBJECTIVE: Many elderly patients with hip fracture (HF) present with gait deficits. As such, an HF both indirectly and directly increases the number of elderly people requiring care, making it a major medical and economic problem in an aging society. To facilitate the treatment of HF and attempt to resolve the consequences, we have attempted to derive an equation that would predict gait ability. The prediction equation was developed by multivariate analysis using standard evaluation methods, with inclusion of guaranteed objectivity where possible. We attached greater importance to the prediction of gait ability early in the period of hospitalization, since this allows for early determination of an efficient therapeutic strategy. METHODS: The subjects were 54 HF patients (six men, 48 women; mean age: 78.0 +/- 8.4 years) admitted to general hospitals in Hirosaki, Aomori prefecture, between 1998 and 2007. All were aged 60 years or older and were able to walk immediately before injury; physical therapy was initiated for all individuals during hospitalization. Evaluation items related to physical function, psychological function, and complications that may affect gait were evaluated; these included the manual muscle test, motor age test, Katz's index, dementia (HDS-R), consciousness disturbance, among others. RESULTS: Based on data for 35 patients who could gait at discharge and 19 patients who could not, a model including MAT, HDS-R, and the New York Heart Association classification of cardiac function scores (P < 0.001) was obtained using multiple logistic regression analysis (discriminant hitting ratio: 94.4%). CONCLUSIONS: The effectiveness of the derived model suggests that both physical and psychological functions should be considered for gait prediction.
Authors: Ellen F Binder; Marybeth Brown; David R Sinacore; Karen Steger-May; Kevin E Yarasheski; Kenneth B Schechtman Journal: JAMA Date: 2004-08-18 Impact factor: 56.272