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首页> 外文期刊>Journal of stroke and cerebrovascular diseases: The official journal of National Stroke Association >Functional Performance and Discharge Setting Predict Outcomes 3 Months After Rehabilitation Hospitalization for Stroke
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Functional Performance and Discharge Setting Predict Outcomes 3 Months After Rehabilitation Hospitalization for Stroke

机译：功能性能和放电设置预测康复住院后3个月的延期

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摘要

Background: Some clinical features of patients after stroke may be modifiable and used to predict outcomes. Identifying these features may allow for refining plans of care and informing estimates of posthospital service needs. The purpose of this study was to identify key factors that predict functional independence and living setting 3 months after rehabilitation hospital discharge by using a large comprehensive national data set of patients with stroke. Methods: The Uniform Data System for Medical Rehabilitation was queried for the records of patients with a diagnosis of stroke who were hospitalized for inpatient rehabilitation from 2005 through 2007. The system includes demographic, administrative, and clinical variables collected at rehabilitation admission, discharge, and 3-month follow-up. Primary outcome measures were the Functional Independence Measure score and living setting 3 months after rehabilitation hospital discharge. Results: The sample included 16,346 patients (80% white; 50% women; mean [SD] age, 70.3 [13.1] years; 97% ischemic stroke). The strongest predictors of Functional Independence Measure score and living setting at 3 months were those same factors at rehabilitation discharge, despite considering multiple other predictor variables including age, lesion laterality, initial neurologic impairment, and stroke-related comorbid conditions. Conclusions: These data can inform clinicians, patients with stroke, and their families about what to expect in the months after hospital discharge. The predictive power of these factors, however, was modest, indicating that other factors may influence postacute outcomes. Future predictive modeling may benefit from the inclusion of educational status, socioeconomic factors, and brain imaging to improve predictive power.
机译：背景：中风后患者的一些临床特征可能是可修改的，并可用于预测预后。确定这些特征可能有助于完善护理计划，并为估计院后服务需求提供信息。本研究的目的是通过使用大型综合性国家中风患者数据集，确定预测康复出院3个月后功能独立性和生活环境的关键因素。方法：通过医疗康复统一数据系统查询2005年至2007年住院接受康复治疗的中风患者的记录。该系统包括在康复入院、出院和3个月随访时收集的人口统计学、管理学和临床变量。主要观察指标为康复出院3个月后的功能独立性评分和生活环境。结果：样本包括16346名患者（80%为白人；50%为女性；平均[SD]年龄70.3[13.1]岁；97%为缺血性中风）。3个月时功能独立性测量得分和生活环境的最强预测因子是康复出院时的那些相同因素，尽管考虑了多个其他预测变量，包括年龄、病变偏侧性、初始神经损伤和与中风相关的共病情况。结论：这些数据可以告知临床医生、中风患者及其家属出院后几个月的预期情况。然而，这些因素的预测能力有限，表明其他因素可能会影响急性期后的结果。未来的预测模型可能会受益于教育状况、社会经济因素和大脑成像，以提高预测能力。

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