A predictive model for early detection of concomitant pulmonary embolism in patients with deep vein thrombosis immediately upon hospital admission
A novel predictive model with strong calibration and discriminative power was developed for assessing concomitant PE risk in patients with DVT. This model may facilitate early estimating of PE probability before obtaining definitive CT angiography results and support timely management processes.
Authors
- Kang Guo
- Maofeng Gong (ORCID: https://orcid.org/0000-0003-0781-0682)
- Rui Jiang (ORCID: https://orcid.org/0009-0002-6401-544X)
- Jianping Gu (ORCID: https://orcid.org/0009-0009-3022-0999)
- Xu He (ORCID: https://orcid.org/0000-0003-0241-6694)
Institutions
- Jiangsu University (CN)
- Yixing People's Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Journal of Vascular Surgery Venous and Lymphatic Disorders
- Published
- 2025-08-05
- DOI
- https://doi.org/10.1016/j.jvsv.2025.102299
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nanjing Medical University