Sebastia Ester, Duarte Esther, Boza Roser, Samitier Beatriz, Tejero Marta, Marco Ester, Muniesa Josep M, Belmonte Roser, Escalada Ferran
Physical Medicine and Rehabilitation Department, Hospital de l'Esperança, IMAS, Universitat Autònoma of Barcelona, Barcelona, Spain.
J Rehabil Med. 2006 May;38(3):204-6. doi: 10.1080/16501970500540939.
In a study published in 2002, it was observed that a variable composed by the Functional Independence Measure (FIM) and the trunk control test at admission predicted 66.5% of the FIM at discharge in stroke patients. The objective was to confirm the reproducibility of this predictive model.
Retrospective study of 245 hemiparetic stroke inpatients of the rehabilitation department. The main variables studied were: trunk control test FIM at admission and compound variable (FIM+trunk control test) as independent variables and FIM at discharge and inpatient rehabilitation length of stay as dependent variables.
Correlation between the compound variable and the length of stay was statistically significant (r=0.59), as was its correlation with the total FIM at discharge (r=0.82). The regression analysis predicted 34.3% of the length of stay variability and 66.4% of the total FIM at discharge variability.
The compound variable is a reliable tool because of its reproducibility in predicting the functional level at hospital discharge in hemiparetic patients.
在一项2002年发表的研究中，观察到由功能独立性测量（FIM）和入院时的躯干控制测试组成的一个变量能够预测中风患者出院时66.5%的FIM。目的是确认该预测模型的可重复性。
对康复科245例偏瘫中风住院患者进行回顾性研究。研究的主要变量为：入院时的躯干控制测试FIM和复合变量（FIM + 躯干控制测试）作为自变量，出院时的FIM和住院康复住院时间作为因变量。
复合变量与住院时间之间的相关性具有统计学意义（r = 0.59），其与出院时总FIM的相关性也具有统计学意义（r = 0.82）。回归分析预测了34.3%的住院时间变异性和66.4%的出院时总FIM变异性。
复合变量是一种可靠的工具，因为它在预测偏瘫患者出院时的功能水平方面具有可重复性。
