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肥胖的分类用于准确预测心脏代谢疾病
Daniel E Coral1, Femke Smit2, Ali Farzaneh3
1Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Science, Lund University, Helsingborg, Sweden. daniel.coral@med.lu.se.
Nature medicine
|October 25, 2024
概括
在约20%的人口中识别出明显的体重指数 (BMI) 和心脏代谢风险概况,可以改善疾病预测. 这些不一致的个人资料显著影响主要不良心血管事件 (MACE) 和2型糖尿病风险.
科学领域:
- 心血管医学 心血管医学
- 代谢健康 代谢健康
- 人口健康 人口健康
背景情况:
- 肥胖和心脏代谢性疾病往往并存,但个人之间的风险有很大差异.
- 鉴定与身体质量指数 (BMI) 相比心脏代谢风险分歧的子群体对于精确的预防策略至关重要.
研究的目的:
- 通过在大型欧洲人口队列中的无监督聚类来识别不同的心脏代谢风险概况.
- 评估这些不一致的个人资料与主要心血管不良事件 (MACE) 和2型糖尿病的患病率和未来风险的相关性.
主要方法:
- 无监督集群分析是从四个欧洲基于人口的队列 (N ≈ 173,000) 的数据进行的.
- 不一致的个人资料是由心脏代谢生物标志物定义的,这些生物标志物高于或低于个人BMI的预期.
- 使用统计模型来评估不一致的个人资料与疾病结果之间的关联,包括MACE和2型糖尿病.
主要成果:
- 确定了五个不一致的个人资料,约占总人口的20%.
- 与一致的个人相比,具有不一致的个人资料的个人表现出不同的MACE和2型糖尿病的流行率和未来风险.
- 不一致的脂质样本的10%更高的概率与女性和男性的MACE风险增加5%有关.
结论:
- 体重指数和心脏代谢生物标志物之间的微妙差异显著影响疾病风险.
- 将不一致的个人资料信息纳入MACE和2型糖尿病的预测模型,大大提高了他们的表现.
- 这些发现支持使用不一致的配置文件来提高心脏代谢疾病的精确预防.
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