ArticleAmerican journal of translational research2025
Non-demographic dependent mechanisms of DVT formation in patients with traumatic limb fractures: an exploratory cohort study based on limited variable matching.
Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveTo 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.
methodsThis 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.
resultsAfter 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).
conclusionHypercoagulability (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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