Construction and validation of a predictive model for the efficacy of valproic acid monotherapy in epilepsy based on Lasso-logistic regression
Epilepsy patients are at an increased risk of developing drug resistance when undergoing VPA monotherapy. The risk prediction model based on Lasso-Logistic regression demonstrates strong predictive capabilities. The SNORD3A gene may serve as a valuable biomarker for predicting the likelihood of VPA resistance.
Authors
- Zheng Liu (ORCID: https://orcid.org/0000-0003-1175-0459)
- Renzhu Liu (ORCID: https://orcid.org/0000-0002-2771-4607)
- Qichang Xing (ORCID: https://orcid.org/0000-0001-7186-8841)
- Jia Chen (ORCID: https://orcid.org/0000-0003-4217-5039)
- Xiang Liu (ORCID: https://orcid.org/0009-0008-9958-745X)
- Haibo Lei (ORCID: https://orcid.org/0009-0002-0221-5286)
Institutions
- Xiangyang Central Hospital (CN)
Publication Details
- Journal
- Clinics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.clinsp.2025.100684
- Primary Topic
- Pharmacological Effects and Toxicity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00