A comparative study on early prediction of venous thromboembolism in patients with traumatic brain injury by machine learning model
PDD3 and PDDR3 emerged as effective indices for predicting VTE in patients with TBI. We formulated a practical predictive model based on PDDR3, demonstrating satisfactory performance in forecasting VTE, which will assist clinicians in the early identification and initiation of PTP treatment for TBI patients.
Authors
- Siyuan Qi
- 令子 杉浦
- Qiqi Wu (ORCID: https://orcid.org/0009-0007-1645-3791)
- Mengqi Chen (ORCID: https://orcid.org/0000-0001-9728-8511)
- Zhanfei Li (ORCID: https://orcid.org/0000-0001-5058-6052)
- Wei‐Ming Xie (ORCID: https://orcid.org/0000-0002-5044-5089)
- Tao Liu (ORCID: https://orcid.org/0000-0001-5232-5964)
- Kan Wang (ORCID: https://orcid.org/0000-0001-9811-4142)
- Zhaofeng Kang (ORCID: https://orcid.org/0000-0002-8860-2959)
- Xiangjun Bai
- Chuntao Wang (ORCID: https://orcid.org/0000-0002-6391-3304)
- Xiaofei Dong
- Wei Wang (ORCID: https://orcid.org/0000-0003-2044-6387)
Institutions
- Tongji University (CN)
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Thrombosis Journal
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1186/s12959-025-00772-2
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tongji University