Identification of intraoperative hypotension endotypes and revolution with a temporal deep learning algorithm
Five endotypes of IOH were identified, and this may support the development of causal treatment strategies of intraoperative hypotension, pending future validation.
Authors
- Xuechao Hao (ORCID: https://orcid.org/0000-0002-8312-7060)
- Zhu Tao (ORCID: https://orcid.org/0000-0002-8313-1430)
- Peiyi Li (ORCID: https://orcid.org/0000-0003-2373-9724)
- Huadong Zhu (ORCID: https://orcid.org/0000-0002-1592-3188)
- Yaqiang Wang (ORCID: https://orcid.org/0000-0002-7576-0907)
- Fei Wang (ORCID: https://orcid.org/0000-0002-0750-6990)
- Yihao Zhu (ORCID: https://orcid.org/0000-0002-5108-2961)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Sichuan University (CN)
- Chengdu University of Information Technology (CN)
- Peking Union Medical College Hospital (CN)
- West China Hospital of Sichuan University (CN)
- Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (CN)
Publication Details
- Journal
- Perioperative Medicine
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s13741-025-00598-6
- Primary Topic
- Hemodynamic Monitoring and Therapy
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Sichuan Province Science and Technology Support Program