Qingqing Zhou1, Chenchen Zhu1, Zhen Shen2, Tianjiao Zhang2, Min Li2, Jing Zhu2, Jiwei Qin3, Yanhu Xie4, Wei Zhang4, Rongzhu Chen5, Guihong Wang5, Lili Qian2, Dabao Wu6, Björn Nashan7, Ying Zhou8. 1. Anhui Medical University, Anhui Provincial Hospital, Hefei, 230001, China. 2. Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science & Technology of China, Anhui Provincial Hospital, Hefei, Anhui Province, 230001, China. 3. Organ Transplantation Center, The First Affiliated Hospital of University of Science & Technology of China, Anhui Provincial Hospital, Hefei, Anhui Province, 230001, China. 4. Department of Anesthesiology, The First Affiliated Hospital of University of Science & Technology of China, Anhui Provincial Hospital, Hefei, Anhui Province, 230001, China. 5. Operation Room, The First Affiliated Hospital of University of Science & Technology of China, Anhui Provincial Hospital, Hefei, Anhui Province, 230001, China. 6. Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science & Technology of China, Anhui Provincial Hospital, Hefei, Anhui Province, 230001, China. Electronic address: dbwslyy@outlook.com. 7. Organ Transplantation Center, The First Affiliated Hospital of University of Science & Technology of China, Anhui Provincial Hospital, Hefei, Anhui Province, 230001, China. Electronic address: bjoern.nashan@gmail.com. 8. Anhui Medical University, Anhui Provincial Hospital, Hefei, 230001, China; Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science & Technology of China, Anhui Provincial Hospital, Hefei, Anhui Province, 230001, China. Electronic address: caddie1234@gmail.com.
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.
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 EOCpatients, 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 EOCpatients. 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.
Authors: Deanna Glassman; Nicholas W Bateman; Sanghoon Lee; Li Zhao; Jun Yao; Yukun Tan; Cristina Ivan; Kelly M Rangel; Jianhua Zhang; Kelly A Conrads; Brian L Hood; Tamara Abulez; P Andrew Futreal; Nicole D Fleming; Vahid Afshar-Kharghan; George L Maxwell; Thomas P Conrads; Ken Chen; Anil K Sood Journal: Cancers (Basel) Date: 2022-03-15 Impact factor: 6.575