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首页> 外文期刊>Archives of Physical Medicine and Rehabilitation >Using Individual Growth Curve Models to Predict Recovery and Activities of Daily Living After Spinal Cord Injury: An SCIRehab Project Study
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Using Individual Growth Curve Models to Predict Recovery and Activities of Daily Living After Spinal Cord Injury: An SCIRehab Project Study

机译:使用个人生长曲线模型预测脊髓损伤后的恢复和日常生活活动:一项SCIRehab项目研究

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摘要

Objective: To evaluate change in functional outcomes over 1 year after spinal cord injury (SCI). Design: Observational longitudinal secondary analysis. Setting: Six rehabilitation facilities participating in the SCIRehab project. Participants: Patients (N=1146) with SCI enrolled from 2007 to 2010. Interventions: Not applicable. Main Outcome Measures: FTM instrument 13-item and 11-item motor, 3-item transfer, 6-item self-care, 3-item self-care upper-extremity, and 3-item self-care lower-extremity subscores modeled as trajectories of change. Results: Patients were on average 37 years old, non-Hispanic white, with high school or higher education, a body mass index of 25, and a Comprehensive Severity Index score of 20. Most were men with paraplegia (37%) or high tetraplegia (27%). Median time frames were 22 days from injury to admission, 46 days from admission to discharge, 407 days from admission to follow-up, and 44 days for rehabilitation length of stay. The motor subscores were higher on admission for paraplegia and American Spinal Injury Association (ASIA) Impairment Scale (AIS) grade D groups, and recovered faster for the AIS grade D group. Lower function at admission was associated with older age, higher Comprehensive Severity Index score, longer length of stay, fewer physical therapy and therapeutic recreation hours, and more occupational therapy hours. Slower recovery rates were associated with older age, more days from injury to admission, and fewer physical therapy hours per week. Conclusions: Longitudinal outcomes modeled as individual trajectories of change are clinically meaningful. Individual growth curve models could facilitate recovery prediction and outcome evaluation at individual and group levels. However, assessment of the effects of treatment on outcome trajectories will require the addition of outcome measures at time points during intervention and may require the use of outcome measures specific to aspects of rehabilitation, such as mobility and self-care.
机译:目的:评估脊髓损伤(SCI)1年后功能结局的变化。设计:观察性纵向二级分析。地点:六个康复设施参加了SCIRehab项目。参与者:2007年至2010年招募的SCI患者(N = 1146)。干预措施:不适用。主要成果指标:FTM仪器13项和11项电机,3项转移,6项自我护理,3项自我护理上肢和3项自我护理下肢子评分模型分别为变化的轨迹。结果:患者平均年龄为37岁,非西班牙裔白人,高中或高等教育程度,体重指数为25,综合严重指数为20。大多数是截瘫患者(37%)或高四肢瘫痪(27%)。中位时间段是从受伤到入院的22天,从入院到出院的46天,从入院到随访的407天,以及康复住院时间的44天。截瘫患者和美国脊髓损伤协会(ASIA)D级损伤患者的运动评分更高,而AIS级D组患者的运动评分更高。入院时功能低下与年龄较大,综合严重程度指数评分较高,住院时间更长,理疗和治疗娱乐时间减少以及职业治疗时间增加有关。较慢的恢复率与年龄,从受伤到入院的更多天以及每周更少的物理治疗时间有关。结论:以个体变化轨迹为模型的纵向结局具有临床意义。个体生长曲线模型可以促进个体和群体水平的恢复预测和结果评估。但是,评估治疗对结局轨迹的影响将需要在干预期间的时间点增加结局指标,并且可能需要使用针对康复方面的结局指标,例如活动能力和自我保健。

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