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Updated: Jan 10, 2026

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
Published on: June 2, 2015
Non-demographic dependent mechanisms of DVT formation in patients with traumatic limb fractures: an exploratory
Shengkai Liu1, Xinxing Gao1, Guoding Wang2
1Department of Traumatic Orthopedics, Xi'an International Medical Center Hospital Xi'an 710100, Shaanxi, China.
Objective:
To investigate the non-demographic mechanisms underlying deep vein thrombosis (DVT) formation in patients with traumatic limb fractures, with a focus on the roles of coagulation function and lipid metabolism-related biomarkers.
Methods:
This retrospective cohort study involved 856 patients who underwent surgical treatment for traumatic limb fractures at Xi'an International Medical Center Hospital from January 2020 to December 2023. Propensity score matching (PSM, 1:1, caliper = 0.02) was applied to control for confounding variables such as age and gender. Multivariate logistic regression analysis identified independent risk factors for DVT. Receiver operating characteristic (ROC) curve analysis was employed to determine optimal cutoff values for fibrinogen (FIB), D-dimer (D-D), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C). Statistical analyses were conducted using SPSS 27.0 and R 4.3.3.
Results:
After PSM (530 cases), multivariate analysis revealed that elevated FIB (OR = 5.022, 95% CI: 2.970-8.493), D-D (OR = 10.224, 95% CI: 6.026-17.346), TG (OR = 4.819, 95% CI: 2.893-8.027), and low HDL-C (OR = 0.107, 95% CI: 0.060-0.191) were independent risk factors for DVT (all P < 0.001). A history of diabetes was also significantly associated with increased DVT risk (OR = 4.718, P < 0.001).
Conclusion:
Hypercoagulability (elevated levels of FIB and D-D) and dyslipidemia (increased TG and reduced HDL-C) are key non-demographic contributors to DVT development following traumatic limb fractures. Diabetes further exacerbates thrombosis risk, indicating a synergistic effect.
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