Development of high-density surface-electromyographic biomarkers to improve stroke rehabilitation, management, and prognosis

开发高密度表面肌电生物标志物以改善中风康复、管理和预后

• 批准号: EP/W033526/1
• 负责人: Alejandra Aranceta-Garza
• 金额: $ 46.14万
• 依托单位: University of Dundee
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FW033526%2F1
• 关键词: Development; density; surface; electromyographic; biomarkers

Stroke is a leading cause of disability and mortality all over the world: for example, someone in the UK has a stroke every 3.5 seconds. Clinical advances have decreased its mortality rate; however, the provision of rehabilitation to meet current demand, whilst improving patient outcomes related to care and quality of life, is still in critical demand globally. With over 15 million cases annually worldwide, 5 million people are left with a permanent disability every year. It is estimated that, between 2015 and 2035, excluding consequences associated with Covid-19, an increase of 60% in cases and a rise of 250% in social care costs to £65 billion is predicted. However, this figure is likely to increase due to the pandemic (attributable to Covid-19 directly and because of changes in lifestyle). This rapidly increasing number of stroke survivors is creating a significant demand for rehabilitation services, causing a considerable burden on an already stretched system. If new approaches to accurately predict motor recovery and to set realistic rehabilitation goals for patients are not developed urgently, these numbers will continue to grow exponentially. Innovative approaches, such as distinct characteristics of the body (electrophysiological biomarkers) that can be measured to predict recovery, accelerate recovery rate, and allow for patient-centred rehabilitation regimes, could dramatically increase the efficiency and effectiveness of rehabilitation and stroke management. The proposed research aims to be the first to utilise specific patterns of activity from patients' muscles following stroke, to accurately evaluate motor impairment and use this to guide and optimise therapeutic input. This project will be a step-change compared to current stroke management and will develop new and accurate patient-centred approaches that will address this potential multi-billion pound healthcare crisis and radically improve patients' quality of life following stroke. This approach has the potential to also be used in rehabilitation therapies for a range of other related conditions (e.g. Lewy body dementia, Parkinson's disease) and injuries (e.g. incomplete spinal cord injuries) and so could make a significant contribution to quality of life for a large number of patients.

中风是世界各地导致残疾和死亡的主要原因：例如，英国每3.5秒就有一个人中风。临床进步降低了死亡率；然而，提供康复以满足当前需求，同时改善与护理和生活质量有关的患者结果，在全球范围内仍是迫切需要的。全世界每年有超过1500万个病例，每年有500万人永久残疾。据估计，在2015至2035年间，不包括与新冠肺炎有关的后果，预计病例将增加60%，社会护理费用将增加250%，达到650亿GB。然而，由于大流行(直接归因于新冠肺炎以及生活方式的改变)，这一数字可能会增加。中风幸存者的数量迅速增加，对康复服务产生了巨大的需求，给本已捉襟见肘的系统带来了相当大的负担。如果不尽快开发新的方法来准确预测运动恢复并为患者设定现实的康复目标，这些数字将继续呈指数级增长。创新的方法，例如可以测量的身体的不同特征(电生理生物标志物)，可以预测康复，加快康复速度，并允许以患者为中心的康复制度，可以显著提高康复和中风管理的效率和效果。这项拟议的研究旨在首次利用中风后患者肌肉的特定活动模式，准确评估运动损伤，并利用这一点来指导和优化治疗投入。与目前的中风治疗相比，该项目将是一个阶段性的变化，将开发新的、准确的以患者为中心的方法，解决这一潜在的数十亿英镑的医疗危机，并从根本上提高中风后患者的生活质量。这种方法还有可能用于其他一系列相关疾病(如路易体痴呆、帕金森氏病)和损伤(如不完全性脊髓损伤)的康复治疗，因此可能对大量患者的生活质量做出重大贡献。