Development and validation of a LASSO-logistic regression model for predicting subtherapeutic infliximab trough concentrations in patients with Crohn’s disease
The proposed LASSO-logistic regression model demonstrates promising predictive performance for identifying subtherapeutic IFX exposure in CD patients. By leveraging readily available clinical data, it enables early risk stratification and individualized therapeutic decision-making, thereby facilitating more effective treatment optimization.
Authors
- Jialin Song (ORCID: https://orcid.org/0009-0003-1381-6754)
- Wenjiao Wu
- Xue He (ORCID: https://orcid.org/0000-0002-2705-7504)
- Xiang Peng
- Yiting Wang
- Xiaoyan Li
- Jingwen Xie
Institutions
- Sun Yat-sen University (CN)
- Jinan University (CN)
- Sixth Affiliated Hospital of Sun Yat-sen University (CN)
- Guangzhou Eighth People's Hospital (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- International Journal of Clinical Pharmacy
- Published
- 2026-02-25
- DOI
- https://doi.org/10.1007/s11096-026-02106-2
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Sun Yat-sen University