ArticleBMC surgery2024
Study on risk factors of preoperative deep vein thrombosis in patients with lower limb fractures and construction and validation of risk prediction nomogram model.
Article in BMC surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The risk prediction models for deep venous thrombosis in perioperative patients with lower limb fractures: a systematic review and meta-analysis.BMC musculoskeletal disorders · 2025Pooled it
- Construction and validation of a nomogram model incorporating the systemic immune-inflammation index for preoperative deep vein thrombosis risk in patients with traumatic lower limb fractures.BMC musculoskeletal disorders · 2026Article
- Artificial intelligence risk stratification from dynamic digital subtraction angiography radiomics predicts pulmonary embolism and associates with clinical outcomes in deep vein thrombosis: A retrospective cohort study.Journal of vascular surgery. Venous and lymphatic disorders · 2026Article
- Spine surgery and major blood loss: how accurate is suction canister estimation?European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Perioperative inflammatory and coagulation biomarkers for predicting venous thromboembolism after lower limb fracture surgery.Thrombosis journal · 2026Article
- Role of albumin in regulating platelet function.Frontiers in pharmacology · 2026Article
- Article
- Correlation between red blood cell distribution width and deep vein thrombosis in patients with lower limb fractures.Frontiers in cardiovascular medicine · 2026Article
- Preoperative deep vein thrombosis in tibial plateau fractures: development and internal validation of an interpretable multivariable machine-learning diagnostic model.Frontiers in medicine · 2026Article
- Article
- Development of a venous thromboembolism risk prediction model for patients with primary membranous nephropathy based on machine learning.Frontiers in pharmacology · 2025Article
- Perioperative Deep Vein Thrombosis in Elderly Patients with Lower Extremity Fracture: A Comprehensive Review of Anesthetic Management Strategies.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisReview
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Abstract
backgroundTo explore the correlation between the levels of D-dimer (D-D), fibrinogen (FIB), fibrinogen degradation products (FDP) and platelets (PLT) in peripheral blood of patients with lower limb fractures and the formation of deep vein thrombosis in lower limbs, and to establish a new thrombosis prediction model for patients with lower limb fractures.
methodsThe patients were divided into DVT group and non DVT group according to whether there was deep vein thrombosis of the lower extremity. The differences in the levels of D-D, FIB, FDP and platelets between the two groups were analyzed and compared. ROC curve was used to evaluate the levels of D-D, FIB, FDP and PLT in the peripheral blood of patients with lower extremity fracture to predict the formation of deep vein thrombosis of the lower extremity. Logistic regression analysis was used to analyze the related risk factors of deep vein thrombosis, and the corresponding nomogram risk prediction model of lower limb deep vein thrombosis in patients with lower limb fractures was drawn according to the regression coefficient, which was verified by calibration curve, receiver operating characteristic curve (ROC) and consistency index (C-index).
resultsThe levels of D-D, FIB, FDP, and PLT in the DVT group were higher than those in the non DVT group, with statistical significance (P < 0.05); Moreover, FIB is superior to D-D, FDP, and PLT in predicting the risk of fractures and thrombosis, while PLT has the weakest predictive power. Multivariate logistic analysis showed that platelet, D-D, FIB and FDP were independent risk factors for deep vein thrombosis in patients with lower limb fractures (P < 0.05); Based on the independent risk factors mentioned above, the complex logistic regression formula was transformed into a visual column chart, and the consistency index (C-index) was 0.962 and 0.936, and the external verification C-index was 0.841. The calibration curve showed that the nomogram is in high agreement with the actual results. The AUC value of ROC curve indicated that the nomogram has high prediction value.
conclusionsThe levels of D-D, FIB, FDP and PLT in peripheral blood of patients with lower limb fracture and DVT were significantly increased. Early monitoring of D-D, FIB, FDP and PLT levels in patients with lower limb fracture can effectively screen for lower limb deep vein thrombosis.
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