Construction of a prediction model for hepatic encephalopathy in acute-on-chronic liver failure patients
This study developed and validated a new prediction model for HE in ACLF patients offering a useful tool for early identification of patients with a high risk of HE in clinical settings. However, to ascertain the model's general effectiveness, future prospective multicentre studies are warranted.
Authors
- Shengtao Li (ORCID: https://orcid.org/0000-0002-1014-8004)
- Lu Li (ORCID: https://orcid.org/0000-0001-8343-1962)
- Yueyong Zhu (ORCID: https://orcid.org/0000-0002-0746-4911)
- Haibing Gao (ORCID: https://orcid.org/0000-0002-7266-1487)
- Xiangmei Wang (ORCID: https://orcid.org/0000-0001-6945-4383)
- Shenglong Lin
- Xiaoyong Wu
- Rui Kang (ORCID: https://orcid.org/0000-0001-9379-2630)
- Zixin Xu (ORCID: https://orcid.org/0009-0004-5183-8732)
Institutions
- Fujian Medical University (CN)
- Mengchao Hepatobiliary Hospital (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2024-10-10
- DOI
- https://doi.org/10.1080/07853890.2024.2410403
- Citations
- 1
- Primary Topic
- Liver Disease and Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 0.37
Funders
- Fujian Medical University
- Fujian Provincial Health Technology Project