Prediction of intradialytic hypotension based on heart rate variability and skin sympathetic nerve activity using LASSO-enabled feature selection: a two-center study
The LASSO-enabled model, based on clinical characteristics and autonomic nervous system parameters from the first 30 min of HD, shows promise in accurately predicting IDH.
Authors
- Minglong Chen (ORCID: https://orcid.org/0000-0002-9844-486X)
- Yantao Xing (ORCID: https://orcid.org/0000-0002-4951-3451)
- Yike Zhang (ORCID: https://orcid.org/0000-0001-6450-947X)
- Yaoyu Huang
- Huijuan Mao (ORCID: https://orcid.org/0000-0003-4542-6390)
- Shuang Su (ORCID: https://orcid.org/0000-0002-7204-9423)
- Chang Cui (ORCID: https://orcid.org/0000-0002-5349-6295)
- Jing Wang (ORCID: https://orcid.org/0000-0001-7962-4091)
- Yujun Qian
- Zhenye Chen
- Ningning Wang (ORCID: https://orcid.org/0009-0006-8874-4662)
Institutions
- Indiana University Bloomington (US)
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Renal Failure
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1080/0886022x.2025.2478487
- Citations
- 3
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 4.16
Funders
- National Natural Science Foundation of China