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针对心脏代谢疾病的精准医学:临床翻译的框架
Paul W Franks1, William T Cefalu2, John Dennis3
1Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark; Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; Harvard T H Chan School of Public Health, Boston, MA, USA.
The lancet. Diabetes & endocrinology
|October 7, 2023
概括
精准医学提供了一种强大的方法,通过整合诊断,预测,预防,预后,治疗和监测来对抗心脏代谢疾病. EPPOS模型为其在研究和临床实践中成功实施提供了一个框架.
科学领域:
- 心脏病学 心脏病学
- 代谢疾病 代谢疾病
- 基因组学就是基因组学.
- 个性化医疗是个性化的医疗.
背景情况:
- 心脏代谢性疾病对全球健康构成重大挑战.
- 精准医学可以减轻这些复杂疾病的负担.
- 目前基于证据的医学可以通过精确的方法来增强.
研究的目的:
- 概述一个将精准医学整合到心脏代谢疾病研究和临床实践中的模型.
- 将精准医学在诊断,预测,预防,预后,治疗和监测中的作用置于背景.
- 促进科学发现转化为临床实践.
主要方法:
- 介绍了EPPOS (基于证据,预测,预防,预后和分层) 模型.
- 整合精确和个性化医学的原则.
- 考虑必要的基础设施,包括数据系统和队列研究.
主要成果:
- EPPOS模型建立在基于证据的方法之上.
- 精准医学对患者进行分层,以改善预测和量身定制的治疗.
- 个性化医学使用个人数据进行客观的治疗评估和主观的决策.
结论:
- 精准医学需要一个涉及多方利益相关者的协作系统.
- 强大的数据基础设施和精心设计的研究对于精准医学至关重要.
- 为整合精准医学在心脏代谢性疾病护理中提出了一个全面的框架.
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