Development and validation of a nomogram prediction model for perioperative deep vein thrombosis risk in arthroplasty: a retrospective study
Our risk prediction model demonstrated reasonable discriminative capacity for predicting perioperative DVT risk in arthroplasty. This model may help increase the clinical benefits for patients by promptly identifying high-risk individuals early postoperatively.
Authors
- Qitai Lin
- Wangping Duan
- Pengcui Li
- Wenming Yang (ORCID: https://orcid.org/0000-0001-8509-2140)
- Yang Liu (ORCID: https://orcid.org/0000-0002-4266-8282)
- Ming Li (ORCID: https://orcid.org/0000-0001-8270-2070)
- Yongsheng Ma (ORCID: https://orcid.org/0000-0001-6541-6830)
- Xiaochun Wei (ORCID: https://orcid.org/0000-0002-9455-1211)
- Xiaoyu Cheng (ORCID: https://orcid.org/0000-0001-5413-2859)
- Zehao Li (ORCID: https://orcid.org/0000-0003-0008-194X)
- Ruifeng Liang (ORCID: https://orcid.org/0000-0003-4824-6782)
- Yugang Xing
- C. Shan
Institutions
- Shanxi Medical University (CN)
- Second Hospital of Shanxi Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-05-22
- DOI
- https://doi.org/10.3389/fmed.2025.1528154
- Citations
- 1
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- Shanxi Medical University
- National Key Research and Development Program of China