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Xinyi LI, Yong YUAN, Qianmei CHEN, Yan ZHU, Dafang HE, Chunlan ZHANG. Risk Factor Evaluation for Venous Thromboembolism during the Perioperative Period in Gynecology and Rationality Analysis of Anticoagulant Drug Use[J]. Journal of Kunming Medical University.
Citation: Xinyi LI, Yong YUAN, Qianmei CHEN, Yan ZHU, Dafang HE, Chunlan ZHANG. Risk Factor Evaluation for Venous Thromboembolism during the Perioperative Period in Gynecology and Rationality Analysis of Anticoagulant Drug Use[J]. Journal of Kunming Medical University.

Risk Factor Evaluation for Venous Thromboembolism during the Perioperative Period in Gynecology and Rationality Analysis of Anticoagulant Drug Use

  • Received Date: 2025-05-22
    Available Online: 2025-08-13
  •   Objective  To evaluate the high-risk factors for venous thromboembolism (venous thromboembolism, VTE) during the perioperative period in gynecology and analyze the rationality of anticoagulant drug use.   Methods   Clinical data of 183 gynecological surgical patients treated at Kunming Maternal and Child Health Hospital from January 2023 to December 2024 were collected. Among them, 29 diagnosed with postoperative VTE were classified as the VTE group and 154 diagnosed with no postoperative VTE during the same period were classified as the non-thrombosis group. Independent sample t-test, Mann–Whitney U test, or χ2 test were used to analyze high-risk factors for VTE during the perioperative period. Logistic regression analysis was employed to identify risk factors for VTE after the gynecological surgery and a predictive regression model was established. The ROC curve was plotted to evaluate the model’ s validity.   Results  Elevated D-dimer levels, open abdominal surgery, and history of thrombosis were independent risk factors for VTE in postoperative gynecological patients (OR >1, P < 0.05). The AUC of the regression-based predictive model was higher than that of the Caprini and G-Caprini scores, indicating that this model had the good discriminatory ability its resolution was better than G-Caprini and Caprini risk assessment tools. The identified issues in VTE prophylaxis at the hospital included the insufficient mechanical prevention time limit and delayed initiation of anticoagulant therapy in patients at moderate risk of bleeding.   Conclusion  This predictive model has certain clinical value for broader application. For issues related to drug therapy such as delayed use of anticoagulant drugs, clinical pharmacists should collaborate with physicians to assess patients’ bleeding and thrombosis risks, jointly develop precise anticoagulation regimens, and ensure safe and effective pharmacotherapy for patients.
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