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Abstract
Objective Based on the XGBoost algorithm, the prediction model of the risk of deep vein thrombosis (DVT) in patients after total knee arthroplasty (TKA) was established, and the prediction performance was compared. Methods A total of 100 patients with TKA from January 2019 to December 2020 were retrospectively selected as the study subjects and randomly divided into a training set (n = 60) and a test set (n = 40). The training set data was used to construct the XGBoost algorithm prediction model and to screen the predictive factors of postoperative DVT in TKA patients. The prediction effect of the model was evaluated by using the test set data. An independent sample T-test was used for comparison between groups, and the χ2 test was used for comparison between counting data groups. Results The top five items were combined with multiple injuries (35 points), time from injury to operation (28 points), age (24 points), combined with coronary heart disease (21 points), and D-dimer 1 day after operation (16 points). In the training set, the area under the curve of the XGBoost algorithm model was 0.832 (95% CI: 0.748-0.916). Conclusion The model based on the XGBoost algorithm can predict the incidence of DVT in patients after TKA with good performance.
Highlights
Total knee arthroplasty (TKA) is an effective method for the treatment of end-stage knee osteoarthritis, which can significantly relieve the pain in patients and promote functional recovery [1]
Process of Model Establishment. 100 patients with TKA were randomly divided into the training set (n = 60) and test set (n = 40)
According to the ultrasound results of both lower limbs after operation, the patients in the training set were divided into the Deep vein thrombosis (DVT) group (n = 24) and the non-DVT group (n = 36)
Summary
Total knee arthroplasty (TKA) is an effective method for the treatment of end-stage knee osteoarthritis, which can significantly relieve the pain in patients and promote functional recovery [1]. Deep vein thrombosis (DVT) is one of the common complications of limb fractures in the perioperative period, which can lead to pulmonary embolism and postthrombotic syndrome. The rate of sudden death caused by pulmonary embolism is as high as 34%, which seriously affects the prognosis and life of patients [2]. DVT is a venous reflux disease caused by blood coagulation in the deep vein due to various reasons. There are three factors in patients with DVT: slow blood flow, hypercoagulability, and venous wall injury [3]. Previous studies showed that the overall incidence of DVT was 69.9% per patient postoperatively [4]. The early diagnosis and treatment of DVT are extremely important
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