The Multivariate Factors Analysis and Prevention of Anastomotic Leakage in Postoperative Low Rectal Cancer
Liu Weijun
Abstract
Liu Weijun
Abstract
Objective To study the influencing factors and prevention of anastomotic leakage after rectal cancer surgery.Method The data of 568 cases of low rectal cancer,admitted from January 2007 to January 2012,underwent Dixons surgery were made Logistic regression analysis.Results 14 cases were found anastomotic leakage,and the incidence rate was 2.46%(14/568).Factor analysis result showed gender and age was not associated with anastomotic leakage(P0.05),but tumor location and Dukes stage was closely related to it(P0.05),and both were the major risk factors of anastomotic leakage according non-conditional logistic regression analysis.All patients were cured and no death and other major complications.Conclusions There were a lot of risk factors to anastomotic leakage of low rectal cancer surgery.Adequate preoperative preparation,skilled surgical operation,unobstructed drainage is the important measure for prevention of anastomotic leakage.
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Objective To study the influencing factors and prevention of anastomotic leakage after rectal cancer surgery.Method The data of 568 cases of low rectal cancer,admitted from January 2007 to January 2012,underwent Dixons surgery were made Logistic regression analysis.Results 14 cases were found anastomotic leakage,and the incidence rate was 2.46%(14/568).Factor analysis result showed gender and age was not associated with anastomotic leakage(P0.05),but tumor location and Dukes stage was closely related to it(P0.05),and both were the major risk factors of anastomotic leakage according non-conditional logistic regression analysis.All patients were cured and no death and other major complications.Conclusions There were a lot of risk factors to anastomotic leakage of low rectal cancer surgery.Adequate preoperative preparation,skilled surgical operation,unobstructed drainage is the important measure for prevention of anastomotic leakage.
Key concepts: Medicine, Logistic regression, Colorectal cancer, Anastomosis, Surgery, Multivariate analysis, Internal medicine, Cancer