Construction of a metabolism-malnutrition-inflammation prognostic risk score in patients with heart failure with preserved ejection fraction: a machine learning based Lasso-Cox model
A risk score derived from 6 commonly used inflammatory, nutritional, thyroid and uric acid metabolic biomarkers can effectively identify high-risk patients with HFpEF, providing potential individualized management strategies for patients with HFpEF.
Authors
- Liyan Huang (ORCID: https://orcid.org/0000-0001-5967-2889)
- Xinqing Li
- Chengyi Wang (ORCID: https://orcid.org/0000-0002-1258-1020)
- Jiayu Feng (ORCID: https://orcid.org/0000-0001-6339-7779)
- Jian Zhang (ORCID: https://orcid.org/0000-0002-5093-4325)
- Yuhui Zhang (ORCID: https://orcid.org/0000-0002-5158-0645)
- Xuemei Zhao (ORCID: https://orcid.org/0000-0003-0748-8777)
- Anran Xin
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- National Health and Family Planning Commission (CN)
- Fu Wai Hospital (CN)
Publication Details
- Journal
- Nutrition & Metabolism
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1186/s12986-024-00856-2
- Citations
- 7
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 2.29