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多omics数据改善了急性心力衰竭的一年死亡率预测

Xingxing Li1, Ye Jia2, Feng Wang2

  • 1CAMS Key Laboratory of Synthetic Biology for Drug Innovation, NHC Key Laboratory of Biotechnology for Microbial Drugs and State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Tiantan Xili, Beijing 100050, China.

Clinica chimica acta; international journal of clinical chemistry
|October 18, 2025
PubMed
概括

预测急性心力衰竭 (AHF) 的死亡率通过将临床数据与新型血代谢物和肠道微生物相结合,得到了改进. 这种多omics方法为AHF患者提供了更准确的预后模型.

关键词:
急性心力衰竭是什么?急性心力衰竭是什么?我们的肠道微生物群.代谢学 代谢学 代谢学预测 预后 预测 预测

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