Bone loss in young adults with HIV following antiretroviral therapy containing tenofovir disoproxil fumarate regimen using machine learning
Our study quantified the frequency and established a nomogram based on the LASSO regression model to predict bone loss in PWH on long-term containing TDF ART. The nomogram guides identifying individuals at high risk of bone loss due to prolonged TDF exposure. Clinicians can leverage the predicted risk to design personalized ART regimens at the initiation of therapy or to switch from TDF-containing to TDF-free regimens during treatment. This approach aims to reduce the incidence of bone loss, particularly in resource-limited settings.
Authors
- Fada Wang (ORCID: https://orcid.org/0000-0003-2709-6076)
- Wei Cao (ORCID: https://orcid.org/0000-0002-8546-6090)
- Leidan Zhang
- Taisheng Li (ORCID: https://orcid.org/0000-0002-4575-2404)
- Jia Tang
- Ling Chen (ORCID: https://orcid.org/0000-0003-1485-1626)
- Yang Han (ORCID: https://orcid.org/0000-0002-2688-433X)
- Fuping Guo
- Wei Lv (ORCID: https://orcid.org/0000-0002-8945-7693)
- Liyuan Zheng (ORCID: https://orcid.org/0000-0001-5041-244X)
- Xiaojing Song (ORCID: https://orcid.org/0009-0004-8458-5612)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-04-04
- DOI
- https://doi.org/10.3389/fphar.2025.1516013
- Citations
- 2
- Primary Topic
- HIV-related health complications and treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.51