Prevention of osteoporosis through early monitoring of multiple measures of bone health in one device
通过在一台设备中早期监测多种骨骼健康指标来预防骨质疏松症
基本信息
- 批准号:EP/X000958/1
- 负责人:
- 金额:$ 34.77万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Osteoporosis affects 3 million people in the UK and associated treatment, including for fragility fractures, costs the NHS £4.4 billion a year (NICE, impact falls and fragility fractures). There is a significant negative impact on quality of life to individuals with an increased risk of fracture, and increased morbidity and mortality for those who have had a fracture. All adults reach a peak bone mass at around the age of 30 years, from this point on there is some maintenance and then a decrease in bone mass. There is a significant decrease associated with the menopause due to the decrease in oestrogen. This is an important problem because 1 in 2 women and 1 in 5 men will develop osteoporosis; with an ageing population the number of people with this condition will increase. This is detrimental to individuals and society, as well as a significant healthcare burden to the NHS. There is no screening programme for osteoporosis, and the majority of research studies and interventions are focused on the over 60s. The aim of this project is to develop a novel technology that can specifically measure bone health in a simple, regular and non-invasive way. Specifically, the chemistry of nail, hair and urine will be optimised as a combined measure of bone health. The objectives of this study are to collect nail, hair and urine samples from pre-menopausal women undergoing a DXA scan as part of routine clinical care. The chemistry from the nail and urine spectral data will be mapped against the bone mineral density data from the DXA scan. By collecting data from individuals across a range of BMD values, the spectral range and optical components of the device can be optimised for the design and development of a prototype device. Throughout a user engagement group will provide input on the development of the device, to specifically contribute to the design and use of the final prototype, including user interaction with the data output.
骨质疏松症影响着英国300万人,相关治疗,包括脆性骨折,每年花费NHS 44亿英镑(NICE,撞击福尔斯和脆性骨折)。对骨折风险增加的个体的生活质量有显著的负面影响,并且对那些已经骨折的人有增加的发病率和死亡率。所有成年人在30岁左右达到峰值骨量,从这一点上有一些维护,然后骨量下降。有一个显着的下降与更年期由于雌激素的减少。这是一个重要的问题,因为1/2的女性和1/5的男性会患上骨质疏松症;随着人口老龄化,患有这种疾病的人数将增加。这对个人和社会都是有害的,也是NHS的重大医疗负担。没有骨质疏松症的筛查计划,大多数研究和干预措施都集中在60岁以上的人身上。该项目的目的是开发一种新技术,可以以简单,定期和非侵入性的方式专门测量骨骼健康。具体来说,指甲、头发和尿液的化学成分将被优化,作为骨骼健康的综合指标。本研究的目的是收集绝经前妇女的指甲,头发和尿液样本进行DXA扫描作为常规临床护理的一部分。将指甲和尿液光谱数据的化学成分与DXA扫描的骨矿物质密度数据进行映射。通过收集来自个体的BMD值范围内的数据,可以优化设备的光谱范围和光学组件,以用于原型设备的设计和开发。在整个过程中,用户参与小组将提供关于器械开发的输入,以专门为最终原型的设计和使用做出贡献,包括用户与数据输出的交互。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jemma Kerns其他文献
Transfer learning from inorganic materials to ivory detection
从无机材料到象牙检测的迁移学习
- DOI:
10.1038/s41598-025-98915-y - 发表时间:
2025-05-03 - 期刊:
- 影响因子:3.900
- 作者:
Agil Aghasanli;Plamen Angelov;Dmitry Kangin;Jemma Kerns;Rebecca Shepherd - 通讯作者:
Rebecca Shepherd
Jemma Kerns的其他文献
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