Introducing CatchU: A Novel Multisensory Tool for Assessing Patients' Risk of Falling.

Jeannette R Mahoney, Claudene J George, Joe Verghese
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Abstract

To date, only a few studies have investigated the clinical translational value of multisensory integration. Our previous research has linked the magnitude of visual-somatosensory integration (measured behaviorally using simple reaction time tasks) to important cognitive (attention) and motor (balance, gait, and falls) outcomes in healthy older adults. While multisensory integration effects have been measured across a wide array of populations using various sensory combinations and different neuroscience research approaches, multisensory integration tests have not been systematically implemented in clinical settings. We recently developed a step-by-step protocol for administering and calculating multisensory integration effects to facilitate innovative and novel translational research across diverse clinical populations and age-ranges. In recognizing that patients with severe medical conditions and/or mobility limitations often experience difficulty traveling to research facilities or joining time-demanding research protocols, we deemed it necessary for patients to be able to benefit from multisensory testing. Using an established protocol and methodology, we developed a multisensory falls-screening tool called CatchU (an iPhone app) to quantify multisensory integration performance in clinical practice that is currently undergoing validation studies. Our goal is to facilitate the identification of patients who are at increased risk of falls and promote physician-initiated falls counseling during clinical visits (e.g., annual wellness, sick, or follow-up visits). This will thereby raise falls-awareness and foster physician efforts to alleviate disability, promote independence, and increase quality of life for our older adults. This conceptual overview highlights the potential of multisensory integration in predicting clinical outcomes from a research perspective, while also showcasing the practical application of a multisensory screening tool in routine clinical practice.

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介绍 CatchU™:用于评估患者跌倒风险的新型多感官工具。
迄今为止,只有少数研究调查了多感觉统合的临床转化价值。我们之前的研究将视觉-感觉统合的程度(使用简单的反应时间任务进行行为测量)与健康老年人的重要认知(注意力)和运动(平衡、步态和跌倒)结果联系起来。虽然多感觉统合效应已通过各种感觉组合和不同的神经科学研究方法在众多人群中进行了测量,但多感觉统合测试尚未在临床环境中系统实施。我们最近开发了一套逐步实施和计算多感觉统合效应的方案,以促进不同临床人群和年龄段的创新性转化研究。考虑到患有严重疾病和/或行动不便的患者往往难以前往研究机构或参加时间要求较高的研究方案,我们认为有必要让患者能够从多感官测试中获益。利用既定的方案和方法,我们开发了一种名为 CatchU ™ 的多感官跌倒筛查工具(iPhone 应用程序),用于量化临床实践中的多感官整合表现,目前正在进行验证研究。我们的目标是促进识别跌倒风险增加的患者,并在临床就诊(如年度健康、疾病或随访)期间促进由医生发起的跌倒咨询。这将提高人们对跌倒的认识,促进医生减轻残疾、促进独立和提高老年人生活质量的努力。这篇概念性综述从研究角度强调了多感官整合在预测临床结果方面的潜力,同时也展示了多感官筛查工具在常规临床实践中的实际应用。
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