scholarly journals Drainage smell and peritonitis are efficient indicators of anastomotic leakage after laparoscopic rectal cancer resection

2020 ◽  
Vol 48 (11) ◽  
pp. 030006052097076
Author(s):  
Enesh Shiwakoti ◽  
Jianning Song ◽  
Jun Li ◽  
Shanshan Wu ◽  
Zhongtao Zhang

Objective Anastomotic leakage (AL) is a frequent complication after laparoscopic rectal cancer resection (LRCR). The main objective of the present study was to identify accurate indicators of AL after LRCR. Methods A retrospective case-control study was performed of 185 patients who underwent laparoscopic surgery for rectal cancer between March 2012 and February 2017 at Beijing Friendship Hospital. Potential indicators of AL were examined via univariate and multivariate analyses. The performance of multivariate analysis was evaluated using receiver operating characteristic (ROC) curves. Results The overall AL rate was 17.84%. Multivariate analysis identified drainage smell (odds ratio [OR = 35.318, 95% confidence interval [CI] = 7.114 to 175.338) and peritonitis [OR = 17.475, 95% CI = 1.540 to 198.318) as independent indicators of AL. The area under the ROC curve was 0.720 (95% CI = 0.606 to 0.835). Conclusion Drainage smell and peritonitis could be reliable and accurate indicators of AL after LRCR.

2020 ◽  
Vol 48 (9) ◽  
pp. 030006052095754
Author(s):  
Enesh Shiwakoti ◽  
Jianning Song ◽  
Jun Li ◽  
Shanshan Wu ◽  
Zhongtao Zhang

Objective This study was performed to identify risk factors for anastomotic leakage (AL) and combine these factors to create a prediction model for the risk of AL after laparoscopic rectal cancer resection. Methods This retrospective study involved 185 patients with rectal cancer who underwent laparoscopic resection from March 2012 to February 2017. Five risk factors were analyzed by multivariate analysis. A prediction model was established by combining the risk factors from the multivariate analysis, and the accuracy of the model was evaluated by a receiver operating characteristic curve. Results The overall AL rate was 17.84%. The multivariate analysis identified the following independent risk factors for AL: high body mass index (odds ratio [OR], 3.009; 95% confidence interval [CI], 1.127–7.125), preoperative radiochemotherapy (OR, 3.778; 95% CI, 1.168–12.219), larger tumor size (OR, 2.710; 95% CI, 1.119–6.562), and longer surgical time (OR, 2.476; 95% CI, 1.033–5.932). We established a prediction model that can evaluate the risk of AL by determining the predictive probability. The area under the curve for the model’s predictive performance was 0.70 (95% CI, 0.598–0.795). Conclusion A prediction model was created to predict the risk of AL after laparoscopic rectal cancer resection.


2019 ◽  
Vol 21 (12) ◽  
pp. 1364-1371 ◽  
Author(s):  
B. Creavin ◽  
É. J. Ryan ◽  
M. E. Kelly ◽  
A. Moynihan ◽  
C. E. Redmond ◽  
...  

2007 ◽  
Vol 94 (12) ◽  
pp. 1548-1554 ◽  
Author(s):  
H. Ptok ◽  
F. Marusch ◽  
F. Meyer ◽  
D. Schubert ◽  
I. Gastinger ◽  
...  

2016 ◽  
Vol 59 (10) ◽  
pp. 934-942 ◽  
Author(s):  
Qiyuan Qin ◽  
Tenghui Ma ◽  
Yanhong Deng ◽  
Jian Zheng ◽  
Zhiyang Zhou ◽  
...  

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