Analysis of the occurrence and influencing factors of deep vein thrombosis in the lower extremities after radical resection of Cervical Cancer

  • ling zhang Xingtai Central Hospital,Gynecology,Xingtai, Hebei, China 054000
  • Suhui Ma Xingtai Central Hospital,Gynecology,Xingtai, Hebei, China 054000
  • Xiaoqian Wang Xingtai Central Hospital,Gynecology,Xingtai, Hebei, China 054000
  • Tao Yan * Xingtai Medical College,Xingtai, Hebei, China 054000
Article ID: 4725

Abstract

Objective To explore the occurrence and influencing factors of lower extremity deep vein thrombosis (LEDVT) after radical resection of cervical cancer in patients. Methods: A retrospective collection was made of 162 patients with cervical cancer in our hospital from January 2021 to April 2025. All of them underwent radical resection. The incidence of LEDVT within 15 days after the operation was statistically analyzed. The patients were grouped according to the presence or absence of LEDVT. The clinical data of the two groups were compared, and the influencing factors of LEDVT occurrence were analyzed. Based on the influencing factors, a Logistic prediction model for LEDVT was constructed, and the value of this model in predicting LEDVT was evaluated through the receiver operating characteristic (ROC) curve. Results: Among 162 patients with cervical cancer, 34 patients developed LEDVT within 15 days after the operation, with an incidence rate of 20.99% (34/162). The postoperative bed rest time in the LEDVT group was longer than that in the non-LEDVT group, the proportions of FIB and receiving air pressure wave therapy were higher in the LEDVT group, and the INR and RHDS scores were lower in the LEDVT group than in the non-LEDVT group (P < 0.05). Postoperative bed rest time, FIB, INR, RHDS score, and receiving an air pressure wave therapy device are independent risk factors for LEDVT in patients with cervical cancer after surgery (P < 0.05). A risk prediction model was constructed based on the five high-risk factors shown by Logistic. Logit(P)=11.873+ postoperative bed rest time ×0.202+FIB×0.260+INR× (-0.355) +RHDS score × (-0.351) + receiving an air pressure wave therapy device (-0.319). The ROC curve was plotted. The results showed that the AUC of this risk prediction model was 0.923 (95%CI: 0.881-0.964), and the sensitivity and specificity were 80.00% and 87.69%, respectively. Conclusion: The incidence of LEDVT after cervical cancer surgery is relatively high, which is closely related to postoperative bed rest time, FIB, INR, RHDS score, and the use of air pressure wave therapy equipment. Based on this, the Logtitic model constructed has a high predictive efficiency in predicting the risk of LEDVT after surgery.

Published
2025-08-26