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创伤性脑损伤研究中常见结局指标的使用建议。

Recommendations for the use of common outcome measures in traumatic brain injury research.

机构信息

Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA.

出版信息

Arch Phys Med Rehabil. 2010 Nov;91(11):1650-1660.e17. doi: 10.1016/j.apmr.2010.06.033.

Abstract

This article summarizes the selection of outcome measures by the interagency Traumatic Brain Injury (TBI) Outcomes Workgroup to address primary clinical research objectives, including documentation of the natural course of recovery from TBI, prediction of later outcome, measurement of treatment effects, and comparison of outcomes across studies. Consistent with other Common Data Elements Workgroups, the TBI Outcomes Workgroup adopted the standard 3-tier system in its selection of measures. In the first tier, core measures included valid, robust, and widely applicable outcome measures with proven utility in TBI from each identified domain, including global level of function, neuropsychological impairment, psychological status, TBI-related symptoms, executive functions, cognitive and physical activity limitations, social role participation, and perceived health-related quality of life. In the second tier, supplemental measures were recommended for consideration in TBI research focusing on specific topics or populations. In the third tier, emerging measures included important instruments currently under development, in the process of validation, or nearing the point of published findings that have significant potential to be superior to some older ("legacy") measures in the core and supplemental lists and may eventually replace them as evidence for their utility emerges.

摘要

本文总结了跨机构创伤性脑损伤(TBI)结局工作组选择结局测量指标的过程,以解决主要临床研究目标,包括记录 TBI 自然康复过程、预测后期结局、测量治疗效果,以及比较研究间的结局。与其他常见数据要素工作组一致,TBI 结局工作组在选择测量指标时采用了标准的 3 级系统。在第 1 级中,核心指标包括每个确定的领域中具有 TBI 实用价值的有效、稳健和广泛适用的结局测量指标,这些领域包括整体功能水平、神经心理学损伤、心理状态、TBI 相关症状、执行功能、认知和身体活动受限、社会角色参与和感知健康相关生活质量。在第 2 级中,推荐了补充指标,供专注于特定主题或人群的 TBI 研究考虑。在第 3 级中,新兴指标包括目前正在开发、验证过程中或即将发表研究结果的重要工具,这些工具具有明显的潜力,优于核心和补充列表中的一些较旧的(“传统”)指标,并且随着其有效性的证据出现,可能最终会取代它们。

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