» Articles » PMID: 32001042

Incidence and Potential Predictors of Thromboembolic Events in Epithelial Ovarian Carcinoma Patients During Perioperative Period

Overview
Publisher Elsevier
Date 2020 Feb 1
PMID 32001042
Citations 12
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To assess the incidence and the risk factors of venous thromboembolism (VTE) in patients with epithelial ovarian carcinoma (EOC) during the perioperative period.

Methods: A retrospective analysis was conducted on the patients with epithelial ovarian cancer treated in our hospital, between January 2017 and July 2019, and a comprehensive review of the medical documentation was performed to collect relevant data. We then analyzed the related factors of the thrombosis in the EOC patients, using univariate and multivariate analysis to identify significant risk factors for VTE, and bootstrap resampling method was used to verify the multivariate analysis results. The ROC curve methods were conducted to evaluate the diagnostic value for the prediction of VTE.

Results: We analyzed 233 cases of patients with EOC, of whom the incidence of VTE was 11.16%. According to multivariate and 5000 bootstrap samples analysis, preoperative D-dimer levels (>4.215 μg/ml, p = 0.041 and p = 0.032) and comorbid of cerebral infarction (p < 0.001 and p < 0.001) had statistical significance in predicting VTE events; bootstrap analysis also found the Alb, CA125, OCCC had statistical significance. While According to multivariate and 5000 bootstrap samples analysis, age (>50.5 years old, p = 0.019 and p = 0.002) and nonoptimal debulking surgery (p = 0.007 and p = 0.002) showed significance in predicting VTE after surgery; bootstrap analysis also found the D-dimer levels (>4.215 μg/ml) and tuberculosis had statistical significance.

Conclusion: More effective thromboprophylaxis and pre-test assessment is necessary for EOC patients. For prediction VTE events, D-dimer levels (>4.215 μg/ml) were the independent predictors before operation. Age and debulking surgery were the independent predictors post operation.

Citing Articles

Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancer.

Chen Y, Li X, Yuan L, Yuan Y, Xu Q, Hu Z World J Surg Oncol. 2024; 22(1):354.

PMID: 39736708 PMC: 11686961. DOI: 10.1186/s12957-024-03649-2.


Survival and biomarker analysis for cancer‑associated thromboembolism in ovarian clear cell carcinoma.

Ito T, Miyamoto M, Kishimoto N, Suminokura J, Hada T, Kakimoto S Mol Clin Oncol. 2024; 22(1):9.

PMID: 39583927 PMC: 11582522. DOI: 10.3892/mco.2024.2804.


A Nomogram Model to Predict Deep Vein Thrombosis Risk After Surgery in Patients with Hip Fractures.

Bo R, Chen X, Zheng X, Yang Y, Dai B, Yuan Y Indian J Orthop. 2024; 58(2):151-161.

PMID: 38312904 PMC: 10830990. DOI: 10.1007/s43465-023-01074-3.


CA125-Associated Activated Partial Thromboplastin Time and Thrombin Time Decrease in Patients with Adenomyosis.

Yang F, Wang Q, Ma R, Deng F, Liu J J Multidiscip Healthc. 2024; 17:251-261.

PMID: 38250313 PMC: 10799626. DOI: 10.2147/JMDH.S435365.


Pulmonary embolism after diagnostic curettage in patient with adenomyosis and hysteromyoma: A case report and brief review of literature.

Cheng Z, Yan M, Wu Y, Li X, Pan X Medicine (Baltimore). 2023; 102(48):e36279.

PMID: 38050245 PMC: 10695582. DOI: 10.1097/MD.0000000000036279.