利用血蛋白质组来预测心力衰竭亚种群中的死亡率
Jessica Chadwick1, Michael A Hinterberg2, Folkert W Asselbergs3,4
1Departments of Clinical Research and Development (J. Chadwick, R.O., K.M.L., S.A.W.), SomaLogic Operating Co Inc, Boulder, CO.
Circulation. Heart failure
|March 7, 2025
概括
新的蛋白质组风险评分 (PRS) 准确预测心力衰竭 (HF) 患者的1年死亡率. 这些得分为个性化HF护理和监测提供了更好的预后估计.
科学领域:
- 心血管医学 心血管医学
- 蛋白质组学是指蛋白质组学.
- 生物标志物发现发现
背景情况:
- 心力衰竭 (HF) 的预后仍然具有挑战性,需要改进风险分层工具.
- 现有的预后模型可能无法完全捕捉HF病理生理学的复杂性.
- 蛋白质组签名为增强HF风险评估提供了一条新的途径.
研究的目的:
- 导出和验证蛋白质组风险评分 (PRSs) 以预测心力衰竭患者1年全因死亡率.
- 将PRS的性能与已建立的预后得分和生物标志物的性能进行比较.
- 评估PRS与疾病进展有关的动态性质.
主要方法:
- 在独立的HF队列 (HFrEF和HFpEF) 中使用SomaScan Assay对大约5000种蛋白质的等离体蛋白质定型.
- 机器学习确定了用于HFrEF和HFpEF死亡率预测的独特蛋白质面板.
- 使用C指数和曲线下的面积 (AUC) 的性能评估,与MAGGIC得分和NT-proBNP相比.
主要成果:
- 经过验证的PRS在预测HFpEF和HFrEF的1年死亡率方面表现出显著的准确性.
- HFpEF PRS的表现优于MAGGIC评分和NT-proBNP;HFrEF PRS的表现与MAGGIC和NT-proBNP相比或优于它们.
- PRS包括已知的HF生物标志物和新型蛋白质,并在致命事件中随着疾病进展而动态增加.
结论:
- 蛋白质组风险评分为心力衰竭患者提供了有效,准确和动态的预后估计.
- 这种蛋白质学方法有可能改善纵向监测,并促进个性化高频管理.
- 在心血管护理中,PRS是推动精准医学发展的有希望的工具.
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