Abstract:
Objective To analyze the related factors of venous thromboembolism (VTE) in patients with thoracic trauma, and establish a risk prediction model.
Methods The clinical diagnosis and treatment data of 787 patients with thoracic trauma treated in Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University from September 2020 to September 2021 were retrospectively analyzed. The risk factors affecting VTE were analyzed by univariate and logistic multivariate regression models, and the prediction model was established.
Results Among the 787 patients with thoracic trauma, VTE was found in 26 cases. The independent risk factors affecting VTE were age (OR=1.162, 95%CI: 1.089–1.24), number of rib fractures (≥5) (OR=13.356, 95%CI: 1.563–114.132), complicated with brain trauma (OR=6.932, 95%CI: 1.904–25.234), abdominal viscus injuries (OR=34.412, 95%CI: 6.117–193.59), fracture of upper limb (OR=4.128, 95%CI: 1.412–12.062), fracture of lower limb (OR=39.688, 95%CI: 10.749–146.532), blood transfusion (OR=3.34, 95%CI: 1.072–10.404). The area under ROC curve (AUC) of VTE probability for thoracic trauma patients is 0.94 (95%CI: 0.896–0.983) .
Conclusions Age, number of rib fractures (≥5), complicated with brain trauma, abdominal organ injury, upper limb fracture, lower limb fracture, and blood transfusion are independent risk factors affecting VTE in patients with thoracic trauma. The risk prediction model established on this basis can better predict the occurrence of VTE and provide targeted intervention.
Key words:
Thoracic injuries,
Venous thromboembolism,
Rib fracture,
Multiple-factor analysis,
Prediction model
Kaibin Liu, Yi Yang. Analysis of risk factors and construction of risk prediction model for venous thromboembolism in 787 patients with thoracic trauma in a single center[J]. Chinese Journal of Thoracic Surgery(Electronic Edition), 2023, 10(02): 57-62.