Abstract | OBJECTIVE: METHODS: In a retrospective study, 117 patients undergoing selective EVAR for AAA were investigated for overt/non-overt DIC from June 1st 2013 to December 31 2014. The following parameters were reviewed: D-dimer, Platelet count, fibrinogen and prothrombin time (PT) at before operation and 1, 2, and 7 days after operation. Non-overt DIC was defined as International Society on Thrombosis and Hemostasis (ISTH) score between 2 and 5, and overt DIC score ≥5. Factors associated with overt/non-overt DIC were identified by stepwise Logistic regression. RESULTS: Among 117 patients, who received EVAR for AAA, 3 patients (2. 5%) were diagnosed as overt DIC and 31 patients (26. 5%) were diagnosed as non-overt DIC. Univariate analysis showed significant risk factors for overt/non-overt DIC were aging, operating duration, blood loss, renal dysfunction and endoleak (P <0. 05). Stepwise Logistic regression showed that independent risk factors for overt/non-overt DIC were endoleak ( B = 2. 118, SE = 0. 917, Wald =5. 335,P =0. 021), renal dysfunction ( B = 2. 135, SE =0. 797, Wald = 7. 183, P = 0. 007) and operating duration (B = 0. 021, SE = 0. 006, Wald = 11. 126, P = 0. 001). CONCLUSION: Independent risk factors for non-overt DIC in patients who received EVAR for AAA are endoleak, renal dysfunction and operating duration.
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Authors | Rong Zeng, Wei Ye, Bao Liu, Leng Ni, Changwei Liu, Yongjun Li, Yuehong Zheng, Xiaojun Song, Jiang Shao, Yuexin Chen, Yu Chen, Zhili Liu |
Journal | Zhonghua yi xue za zhi
(Zhonghua Yi Xue Za Zhi)
Vol. 95
Issue 26
Pg. 2054-7
(Jul 14 2015)
ISSN: 0376-2491 [Print] China |
PMID | 26710864
(Publication Type: Journal Article)
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Chemical References |
- Fibrin Fibrinogen Degradation Products
- fibrin fragment D
- Fibrinogen
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Topics |
- Aortic Aneurysm, Abdominal
- Blood Coagulation Tests
- Disseminated Intravascular Coagulation
- Endoleak
- Endovascular Procedures
- Fibrin Fibrinogen Degradation Products
- Fibrinogen
- Humans
- Logistic Models
- Platelet Count
- Retrospective Studies
- Risk Factors
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