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Validity of the Symbol Digit Modalities Test as a cognition performance outcome measure for multiple sclerosis

机译:符号数字模态测试作为多发性硬化症认知表现结果量度的有效性

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摘要

Cognitive and motor performance measures are commonly employed in multiple sclerosis (MS) research, particularly when the purpose is to determine the efficacy of treatment. The increasing focus of new therapies on slowing progression or reversing neurological disability makes the utilization of sensitive, reproducible, and valid measures essential. Processing speed is a basic elemental cognitive function that likely influences downstream processes such as memory. The Multiple Sclerosis Outcome Assessments Consortium (MSOAC) includes representatives from advocacy organizations, Food and Drug Administration (FDA), European Medicines Agency (EMA), National Institute of Neurological Disorders and Stroke (NINDS), academic institutions, and industry partners along with persons living with MS. Among the MSOAC goals is acceptance and qualification by regulators of performance outcomes that are highly reliable and valid, practical, cost-effective, and meaningful to persons with MS. A critical step for these neuroperformance metrics is elucidation of clinically relevant benchmarks, well-defined degrees of disability, and gradients of change that are deemed clinically meaningful. This topical review provides an overview of research on one particular cognitive measure, the Symbol Digit Modalities Test (SDMT), recognized as being particularly sensitive to slowed processing of information that is commonly seen in MS. The research in MS clearly supports the reliability and validity of this test and recently has supported a responder definition of SDMT change approximating 4 points or 10% in magnitude.
机译:在多发性硬化症(MS)研究中通常采用认知和运动表现指标,尤其是当目的是确定治疗效果时。新疗法越来越关注减慢病程或逆转神经系统残疾,因此必须利用敏感,可重复和有效的措施。处理速度是基本的元素认知功能,可能会影响下游过程,例如记忆。多发性硬化症结果评估协会(MSOAC)包括倡导组织,食品和药物管理局(FDA),欧洲药品管理局(EMA),美国国家神经疾病和中风研究所(NINDS),学术机构以及行业合作伙伴的代表与MS一起生活。 MSOAC的目标之一是监管者对绩效结果的接受和鉴定,这些结果高度可靠,有效,实用,具有成本效益并且对MS患者有意义。这些神经功能指标的关键步骤是阐明临床上相关的基准,明确定义的残疾程度以及被认为具有临床意义的变化梯度。这篇主题综述概述了一种特定的认知测量方法,即符号数字模态测试(SDMT),该方法被认为对MS中常见的信息处理速度减慢特别敏感。 MS的研究明确支持了该测试的可靠性和有效性,并且最近支持了响应者对SDMT变化的定义,幅度约为4点或10%。

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