Identification of clinical phenotypes and heterogeneous treatment effects of surgical revascularization in ischaemic cardiomyopathy: a machine learning consensus clustering analysis
We identified three phenotypes with distinct outcomes and HTEs among ICM patients. Patients with lower LVEF, higher NYHA grades, and diabetes had the poorest clinical outcomes but were more likely to derive greater survival benefits from CABG.
Authors
- Zhongkai Wu (ORCID: https://orcid.org/0000-0003-1184-1182)
- Jiatang Xu
- Zhuoming Zhou (ORCID: https://orcid.org/0000-0003-4996-0582)
- Mengya Liang (ORCID: https://orcid.org/0000-0003-1879-8543)
- Qingyang Song (ORCID: https://orcid.org/0000-0003-1418-2311)
- Gang Li (ORCID: https://orcid.org/0000-0003-1583-641X)
- Pengning Fan
- Huayang Li (ORCID: https://orcid.org/0000-0003-4898-2501)
- Qiushi Ren (ORCID: https://orcid.org/0000-0001-9360-8768)
- Suiqing Huang (ORCID: https://orcid.org/0000-0001-5496-8867)
- Han‐Hwa Hu (ORCID: https://orcid.org/0000-0002-9524-7561)
- Tongxin Chu
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Sun Yat-sen University (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-06-20
- DOI
- https://doi.org/10.1093/ehjdh/ztaf066
- Primary Topic
- Innovation Policy and R&D
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- American Heart Association
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- National Heart, Lung, and Blood Institute