Establishment and validation of a predictive model for lower extremity deep vein thrombosis in patients with traumatic pelvic fractures

• Published in: Thrombosis journal 2024-11, Vol.22 (1), p.100-11, Article 100
• Main Authors: Shi, Dongcheng, Li, Yongxia, Zhu, Xiaoguang, Li, Meifang, Jiang, Jiamei
• Format: Article
• Language: English
• Subjects: Analysis; Anticoagulants (Medicine); Blood coagulation factors; Care and treatment; Complications and side effects; Deep vein thrombosis; Fibrin; Fibrinogen; Fractures; Low molecular weight heparin; Nomogram; Pelvic fracture; Practice guidelines (Medicine); Risk factor; Risk factors
• ISSN: 1477-9560; 1477-9560
• DOI: 10.1186/s12959-024-00668-7

Patients with traumatic pelvic fracture (TPF) are at high risk for developing deep vein thrombosis (DVT). However, there is still no unified standard on how to distinguish high-risk groups for DVT in patients with TPF and how to accurately use anticoagulants at present. This observational study aimed to establish a DVT risk nomogram score (DRNS) model for TPF patients, and to explore the value of the DRNS model as a clinical guideline in the prevention of DVT with low molecular weight heparin (LMWH). Independent risk factors of lower extremity DVT were screened through Lasso regression and logistic regression. A DRNS model was established per this. The independent risk factors of DVT included combined femoral fractures, age ≥ 40 years old, BMI (body mass index) ≥ 24 kg/m , ISS score, fibrinogen concentration, and the minimum concentration of ionized calcium within 48 h after admission. The optimal cutoff value for DRNS was 78.5. In the low-risk population of DVT (DRNS