Incidence and potential predictors of thromboembolic events in epithelial ovarian carcinoma patients during perioperative period
To assess the incidence and the risk factors of venous thromboembolism (VTE) in patients with epithelial ovarian carcinoma (EOC) during the perioperative period. A retrospective analysis was conducted on the patients with epithelial ovarian cancer treated in our hospital, between January 2017 and Ju...
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| Veröffentlicht in: | European journal of surgical oncology 2020-05, Vol.46 (5), p.855-861 |
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| creator | Zhou, Qingqing Zhu, Chenchen Shen, Zhen Zhang, Tianjiao Li, Min Zhu, Jing Qin, Jiwei Xie, Yanhu Zhang, Wei Chen, Rongzhu Wang, Guihong Qian, Lili Wu, Dabao Nashan, Björn Zhou, Ying |
| description | To assess the incidence and the risk factors of venous thromboembolism (VTE) in patients with epithelial ovarian carcinoma (EOC) during the perioperative period.
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.
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 4.215 μg/ml) and tuberculosis had statistical significance.
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. |
| doi_str_mv | 10.1016/j.ejso.2020.01.026 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2350088705</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0748798320300457</els_id><sourcerecordid>2350088705</sourcerecordid><originalsourceid>FETCH-LOGICAL-c356t-e6bb7231f515f741ed9eeeb57e12d04f7567843ad5416c309f2d4e0277ece6e13</originalsourceid><addsrcrecordid>eNp9kMGO1SAUhonRONfRF3BhWLppPUApbeLGTEadZBI3uiYUTh1uWqjAvYk7H13qHV264BDI9__J-Qh5zaBlwPp3xxaPObYcOLTAWuD9E3JgUvCGM6mekgOobmjUOIgr8iLnIwCMQo3PyZXgAAw6fiC_7oL1DoNFaoKjWywYijcL3RI6b0tMmcaZlocU1yliPYu3FM-VytQHipsvD7jsiXg2yZtArUnWh7gaupni_4DulHz4TjdMPtZRv894ebmX5NlsloyvHu9r8u3j7debz839l093Nx_uGytkXxrsp0lxwWbJ5Kw6hm5ExEkqZNxBNyvZq6ETxsmO9VbAOHPXIXCl0GKPTFyTt5feLcUfJ8xFrz5bXBYTMJ6y5kICDIMCWVF-QW2KOSec9Zb8atJPzUDv5vVR7-b1bl4D09V8Db157D9NK7p_kb-qK_D-AmDd8uwx6Wz9Lt75hLZoF_3_-n8DhlaYHg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2350088705</pqid></control><display><type>article</type><title>Incidence and potential predictors of thromboembolic events in epithelial ovarian carcinoma patients during perioperative period</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Zhou, Qingqing ; Zhu, Chenchen ; Shen, Zhen ; Zhang, Tianjiao ; Li, Min ; Zhu, Jing ; Qin, Jiwei ; Xie, Yanhu ; Zhang, Wei ; Chen, Rongzhu ; Wang, Guihong ; Qian, Lili ; Wu, Dabao ; Nashan, Björn ; Zhou, Ying</creator><creatorcontrib>Zhou, Qingqing ; Zhu, Chenchen ; Shen, Zhen ; Zhang, Tianjiao ; Li, Min ; Zhu, Jing ; Qin, Jiwei ; Xie, Yanhu ; Zhang, Wei ; Chen, Rongzhu ; Wang, Guihong ; Qian, Lili ; Wu, Dabao ; Nashan, Björn ; Zhou, Ying</creatorcontrib><description>To assess the incidence and the risk factors of venous thromboembolism (VTE) in patients with epithelial ovarian carcinoma (EOC) during the perioperative period.
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.
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.
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.</description><identifier>ISSN: 0748-7983</identifier><identifier>EISSN: 1532-2157</identifier><identifier>DOI: 10.1016/j.ejso.2020.01.026</identifier><identifier>PMID: 32001042</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adenocarcinoma, Clear Cell - epidemiology ; Adenocarcinoma, Clear Cell - metabolism ; Adenocarcinoma, Clear Cell - pathology ; Adenocarcinoma, Clear Cell - surgery ; Adenocarcinoma, Mucinous - epidemiology ; Adenocarcinoma, Mucinous - metabolism ; Adenocarcinoma, Mucinous - pathology ; Adenocarcinoma, Mucinous - surgery ; Adolescent ; Adult ; Age Factors ; Aged ; CA-125 Antigen - metabolism ; Carcinoma, Endometrioid - epidemiology ; Carcinoma, Endometrioid - metabolism ; Carcinoma, Endometrioid - pathology ; Carcinoma, Endometrioid - surgery ; Carcinoma, Ovarian Epithelial - epidemiology ; Carcinoma, Ovarian Epithelial - metabolism ; Carcinoma, Ovarian Epithelial - pathology ; Carcinoma, Ovarian Epithelial - surgery ; Cerebral Infarction - epidemiology ; Comorbidity ; Cytoreduction Surgical Procedures - methods ; D-dimer ; Epithelial ovarian cancer (EOC) ; Female ; Fibrin Fibrinogen Degradation Products - metabolism ; Humans ; Hypertension - epidemiology ; Incidence ; Length of Stay ; Membrane Proteins - metabolism ; Middle Aged ; Multivariate Analysis ; Neoplasms, Cystic, Mucinous, and Serous - epidemiology ; Neoplasms, Cystic, Mucinous, and Serous - metabolism ; Neoplasms, Cystic, Mucinous, and Serous - pathology ; Neoplasms, Cystic, Mucinous, and Serous - surgery ; Optimal debulking surgery ; Ovarian Neoplasms - epidemiology ; Ovarian Neoplasms - metabolism ; Ovarian Neoplasms - pathology ; Ovarian Neoplasms - surgery ; Perioperative ; Perioperative Period ; Postoperative Complications - epidemiology ; Pulmonary Embolism - epidemiology ; Pulmonary Embolism - metabolism ; Retrospective Studies ; Risk Factors ; ROC Curve ; Serum Albumin - metabolism ; Tuberculosis - epidemiology ; Venous thromboembolism (VTE) ; Venous Thromboembolism - epidemiology ; Venous Thromboembolism - metabolism ; Venous Thrombosis - epidemiology ; Venous Thrombosis - metabolism ; Young Adult</subject><ispartof>European journal of surgical oncology, 2020-05, Vol.46 (5), p.855-861</ispartof><rights>2020 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology</rights><rights>Copyright © 2020 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-e6bb7231f515f741ed9eeeb57e12d04f7567843ad5416c309f2d4e0277ece6e13</citedby><cites>FETCH-LOGICAL-c356t-e6bb7231f515f741ed9eeeb57e12d04f7567843ad5416c309f2d4e0277ece6e13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejso.2020.01.026$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32001042$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhou, Qingqing</creatorcontrib><creatorcontrib>Zhu, Chenchen</creatorcontrib><creatorcontrib>Shen, Zhen</creatorcontrib><creatorcontrib>Zhang, Tianjiao</creatorcontrib><creatorcontrib>Li, Min</creatorcontrib><creatorcontrib>Zhu, Jing</creatorcontrib><creatorcontrib>Qin, Jiwei</creatorcontrib><creatorcontrib>Xie, Yanhu</creatorcontrib><creatorcontrib>Zhang, Wei</creatorcontrib><creatorcontrib>Chen, Rongzhu</creatorcontrib><creatorcontrib>Wang, Guihong</creatorcontrib><creatorcontrib>Qian, Lili</creatorcontrib><creatorcontrib>Wu, Dabao</creatorcontrib><creatorcontrib>Nashan, Björn</creatorcontrib><creatorcontrib>Zhou, Ying</creatorcontrib><title>Incidence and potential predictors of thromboembolic events in epithelial ovarian carcinoma patients during perioperative period</title><title>European journal of surgical oncology</title><addtitle>Eur J Surg Oncol</addtitle><description>To assess the incidence and the risk factors of venous thromboembolism (VTE) in patients with epithelial ovarian carcinoma (EOC) during the perioperative period.
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.
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.
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.</description><subject>Adenocarcinoma, Clear Cell - epidemiology</subject><subject>Adenocarcinoma, Clear Cell - metabolism</subject><subject>Adenocarcinoma, Clear Cell - pathology</subject><subject>Adenocarcinoma, Clear Cell - surgery</subject><subject>Adenocarcinoma, Mucinous - epidemiology</subject><subject>Adenocarcinoma, Mucinous - metabolism</subject><subject>Adenocarcinoma, Mucinous - pathology</subject><subject>Adenocarcinoma, Mucinous - surgery</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>CA-125 Antigen - metabolism</subject><subject>Carcinoma, Endometrioid - epidemiology</subject><subject>Carcinoma, Endometrioid - metabolism</subject><subject>Carcinoma, Endometrioid - pathology</subject><subject>Carcinoma, Endometrioid - surgery</subject><subject>Carcinoma, Ovarian Epithelial - epidemiology</subject><subject>Carcinoma, Ovarian Epithelial - metabolism</subject><subject>Carcinoma, Ovarian Epithelial - pathology</subject><subject>Carcinoma, Ovarian Epithelial - surgery</subject><subject>Cerebral Infarction - epidemiology</subject><subject>Comorbidity</subject><subject>Cytoreduction Surgical Procedures - methods</subject><subject>D-dimer</subject><subject>Epithelial ovarian cancer (EOC)</subject><subject>Female</subject><subject>Fibrin Fibrinogen Degradation Products - metabolism</subject><subject>Humans</subject><subject>Hypertension - epidemiology</subject><subject>Incidence</subject><subject>Length of Stay</subject><subject>Membrane Proteins - metabolism</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Neoplasms, Cystic, Mucinous, and Serous - epidemiology</subject><subject>Neoplasms, Cystic, Mucinous, and Serous - metabolism</subject><subject>Neoplasms, Cystic, Mucinous, and Serous - pathology</subject><subject>Neoplasms, Cystic, Mucinous, and Serous - surgery</subject><subject>Optimal debulking surgery</subject><subject>Ovarian Neoplasms - epidemiology</subject><subject>Ovarian Neoplasms - metabolism</subject><subject>Ovarian Neoplasms - pathology</subject><subject>Ovarian Neoplasms - surgery</subject><subject>Perioperative</subject><subject>Perioperative Period</subject><subject>Postoperative Complications - epidemiology</subject><subject>Pulmonary Embolism - epidemiology</subject><subject>Pulmonary Embolism - metabolism</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Serum Albumin - metabolism</subject><subject>Tuberculosis - epidemiology</subject><subject>Venous thromboembolism (VTE)</subject><subject>Venous Thromboembolism - epidemiology</subject><subject>Venous Thromboembolism - metabolism</subject><subject>Venous Thrombosis - epidemiology</subject><subject>Venous Thrombosis - metabolism</subject><subject>Young Adult</subject><issn>0748-7983</issn><issn>1532-2157</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMGO1SAUhonRONfRF3BhWLppPUApbeLGTEadZBI3uiYUTh1uWqjAvYk7H13qHV264BDI9__J-Qh5zaBlwPp3xxaPObYcOLTAWuD9E3JgUvCGM6mekgOobmjUOIgr8iLnIwCMQo3PyZXgAAw6fiC_7oL1DoNFaoKjWywYijcL3RI6b0tMmcaZlocU1yliPYu3FM-VytQHipsvD7jsiXg2yZtArUnWh7gaupni_4DulHz4TjdMPtZRv894ebmX5NlsloyvHu9r8u3j7debz839l093Nx_uGytkXxrsp0lxwWbJ5Kw6hm5ExEkqZNxBNyvZq6ETxsmO9VbAOHPXIXCl0GKPTFyTt5feLcUfJ8xFrz5bXBYTMJ6y5kICDIMCWVF-QW2KOSec9Zb8atJPzUDv5vVR7-b1bl4D09V8Db157D9NK7p_kb-qK_D-AmDd8uwx6Wz9Lt75hLZoF_3_-n8DhlaYHg</recordid><startdate>202005</startdate><enddate>202005</enddate><creator>Zhou, Qingqing</creator><creator>Zhu, Chenchen</creator><creator>Shen, Zhen</creator><creator>Zhang, Tianjiao</creator><creator>Li, Min</creator><creator>Zhu, Jing</creator><creator>Qin, Jiwei</creator><creator>Xie, Yanhu</creator><creator>Zhang, Wei</creator><creator>Chen, Rongzhu</creator><creator>Wang, Guihong</creator><creator>Qian, Lili</creator><creator>Wu, Dabao</creator><creator>Nashan, Björn</creator><creator>Zhou, Ying</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202005</creationdate><title>Incidence and potential predictors of thromboembolic events in epithelial ovarian carcinoma patients during perioperative period</title><author>Zhou, Qingqing ; Zhu, Chenchen ; Shen, Zhen ; Zhang, Tianjiao ; Li, Min ; Zhu, Jing ; Qin, Jiwei ; Xie, Yanhu ; Zhang, Wei ; Chen, Rongzhu ; Wang, Guihong ; Qian, Lili ; Wu, Dabao ; Nashan, Björn ; Zhou, Ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-e6bb7231f515f741ed9eeeb57e12d04f7567843ad5416c309f2d4e0277ece6e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adenocarcinoma, Clear Cell - epidemiology</topic><topic>Adenocarcinoma, Clear Cell - metabolism</topic><topic>Adenocarcinoma, Clear Cell - pathology</topic><topic>Adenocarcinoma, Clear Cell - surgery</topic><topic>Adenocarcinoma, Mucinous - epidemiology</topic><topic>Adenocarcinoma, Mucinous - metabolism</topic><topic>Adenocarcinoma, Mucinous - pathology</topic><topic>Adenocarcinoma, Mucinous - surgery</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>CA-125 Antigen - metabolism</topic><topic>Carcinoma, Endometrioid - epidemiology</topic><topic>Carcinoma, Endometrioid - metabolism</topic><topic>Carcinoma, Endometrioid - pathology</topic><topic>Carcinoma, Endometrioid - surgery</topic><topic>Carcinoma, Ovarian Epithelial - epidemiology</topic><topic>Carcinoma, Ovarian Epithelial - metabolism</topic><topic>Carcinoma, Ovarian Epithelial - pathology</topic><topic>Carcinoma, Ovarian Epithelial - surgery</topic><topic>Cerebral Infarction - epidemiology</topic><topic>Comorbidity</topic><topic>Cytoreduction Surgical Procedures - methods</topic><topic>D-dimer</topic><topic>Epithelial ovarian cancer (EOC)</topic><topic>Female</topic><topic>Fibrin Fibrinogen Degradation Products - metabolism</topic><topic>Humans</topic><topic>Hypertension - epidemiology</topic><topic>Incidence</topic><topic>Length of Stay</topic><topic>Membrane Proteins - metabolism</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Neoplasms, Cystic, Mucinous, and Serous - epidemiology</topic><topic>Neoplasms, Cystic, Mucinous, and Serous - metabolism</topic><topic>Neoplasms, Cystic, Mucinous, and Serous - pathology</topic><topic>Neoplasms, Cystic, Mucinous, and Serous - surgery</topic><topic>Optimal debulking surgery</topic><topic>Ovarian Neoplasms - epidemiology</topic><topic>Ovarian Neoplasms - metabolism</topic><topic>Ovarian Neoplasms - pathology</topic><topic>Ovarian Neoplasms - surgery</topic><topic>Perioperative</topic><topic>Perioperative Period</topic><topic>Postoperative Complications - epidemiology</topic><topic>Pulmonary Embolism - epidemiology</topic><topic>Pulmonary Embolism - metabolism</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Serum Albumin - metabolism</topic><topic>Tuberculosis - epidemiology</topic><topic>Venous thromboembolism (VTE)</topic><topic>Venous Thromboembolism - epidemiology</topic><topic>Venous Thromboembolism - metabolism</topic><topic>Venous Thrombosis - epidemiology</topic><topic>Venous Thrombosis - metabolism</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Qingqing</creatorcontrib><creatorcontrib>Zhu, Chenchen</creatorcontrib><creatorcontrib>Shen, Zhen</creatorcontrib><creatorcontrib>Zhang, Tianjiao</creatorcontrib><creatorcontrib>Li, Min</creatorcontrib><creatorcontrib>Zhu, Jing</creatorcontrib><creatorcontrib>Qin, Jiwei</creatorcontrib><creatorcontrib>Xie, Yanhu</creatorcontrib><creatorcontrib>Zhang, Wei</creatorcontrib><creatorcontrib>Chen, Rongzhu</creatorcontrib><creatorcontrib>Wang, Guihong</creatorcontrib><creatorcontrib>Qian, Lili</creatorcontrib><creatorcontrib>Wu, Dabao</creatorcontrib><creatorcontrib>Nashan, Björn</creatorcontrib><creatorcontrib>Zhou, Ying</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of surgical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Qingqing</au><au>Zhu, Chenchen</au><au>Shen, Zhen</au><au>Zhang, Tianjiao</au><au>Li, Min</au><au>Zhu, Jing</au><au>Qin, Jiwei</au><au>Xie, Yanhu</au><au>Zhang, Wei</au><au>Chen, Rongzhu</au><au>Wang, Guihong</au><au>Qian, Lili</au><au>Wu, Dabao</au><au>Nashan, Björn</au><au>Zhou, Ying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Incidence and potential predictors of thromboembolic events in epithelial ovarian carcinoma patients during perioperative period</atitle><jtitle>European journal of surgical oncology</jtitle><addtitle>Eur J Surg Oncol</addtitle><date>2020-05</date><risdate>2020</risdate><volume>46</volume><issue>5</issue><spage>855</spage><epage>861</epage><pages>855-861</pages><issn>0748-7983</issn><eissn>1532-2157</eissn><abstract>To assess the incidence and the risk factors of venous thromboembolism (VTE) in patients with epithelial ovarian carcinoma (EOC) during the perioperative period.
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.
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.
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.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>32001042</pmid><doi>10.1016/j.ejso.2020.01.026</doi><tpages>7</tpages></addata></record> |
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| subjects | Adenocarcinoma, Clear Cell - epidemiology Adenocarcinoma, Clear Cell - metabolism Adenocarcinoma, Clear Cell - pathology Adenocarcinoma, Clear Cell - surgery Adenocarcinoma, Mucinous - epidemiology Adenocarcinoma, Mucinous - metabolism Adenocarcinoma, Mucinous - pathology Adenocarcinoma, Mucinous - surgery Adolescent Adult Age Factors Aged CA-125 Antigen - metabolism Carcinoma, Endometrioid - epidemiology Carcinoma, Endometrioid - metabolism Carcinoma, Endometrioid - pathology Carcinoma, Endometrioid - surgery Carcinoma, Ovarian Epithelial - epidemiology Carcinoma, Ovarian Epithelial - metabolism Carcinoma, Ovarian Epithelial - pathology Carcinoma, Ovarian Epithelial - surgery Cerebral Infarction - epidemiology Comorbidity Cytoreduction Surgical Procedures - methods D-dimer Epithelial ovarian cancer (EOC) Female Fibrin Fibrinogen Degradation Products - metabolism Humans Hypertension - epidemiology Incidence Length of Stay Membrane Proteins - metabolism Middle Aged Multivariate Analysis Neoplasms, Cystic, Mucinous, and Serous - epidemiology Neoplasms, Cystic, Mucinous, and Serous - metabolism Neoplasms, Cystic, Mucinous, and Serous - pathology Neoplasms, Cystic, Mucinous, and Serous - surgery Optimal debulking surgery Ovarian Neoplasms - epidemiology Ovarian Neoplasms - metabolism Ovarian Neoplasms - pathology Ovarian Neoplasms - surgery Perioperative Perioperative Period Postoperative Complications - epidemiology Pulmonary Embolism - epidemiology Pulmonary Embolism - metabolism Retrospective Studies Risk Factors ROC Curve Serum Albumin - metabolism Tuberculosis - epidemiology Venous thromboembolism (VTE) Venous Thromboembolism - epidemiology Venous Thromboembolism - metabolism Venous Thrombosis - epidemiology Venous Thrombosis - metabolism Young Adult |
| title | Incidence and potential predictors of thromboembolic events in epithelial ovarian carcinoma patients during perioperative period |
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