Σφακιανάκης Αλέξανδρος
ΩτοΡινοΛαρυγγολόγος
Αναπαύσεως 5 Άγιος Νικόλαος
Κρήτη 72100
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00306932607174
alsfakia@gmail.com

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Τρίτη 20 Δεκεμβρίου 2016

Development of a Nomogram for Predicting the Risk of Anastomotic Leakage after a Gastrectomy for Gastric Cancer

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Publication date: Available online 20 December 2016
Source:European Journal of Surgical Oncology (EJSO)
Author(s): Ru-Hong Tu, Jian-Xian Lin, Chao-Hui Zheng, Ping Li, Jian-Wei Xie, Jia-Bin Wang, Jun Lu, Qi-Yue Chen, Long-long Cao, Mi Lin, Chang-Ming Huang
AimsTo investigate the incidence of and factors associated with anastomotic leakage (AL) following gastrectomy for gastric cancer.MethodsWe retrospectively analyzed 3632 patients who underwent a laparoscopic gastrectomy or open gastrectomy for gastric cancer. A logistic regression model was used to identify the determinant variables, and a nomogram for AL was developed.ResultsA total of 3632 patients were included in the study, 50 of whom (1.4%) developed AL. Postoperative deaths occurred in 6(0.2%) patients with AL failure to rescue. Esophagojejunal AL (27/50) and Billroth I AL (20/50) were the most common types of AL. Gastrografin swallow was the main diagnostic method. The diagnosis was made a median of 9 days postoperatively. The median healing time for AL was 34.5 days. Of the 50 AL patients, 56% of patients could be managed nonsurgically, whereas 28% of patients required percutaneous radiologic drainage, 6% of patients were treated by endoscopy, and 10% of patients required a second surgery. A multivariate analysis showed the following adverse risk factors for AL: age≥65 years, hemoglobin ≤8.0g/dL and malnourishment. A multivariable model for AL showed a strong optimism-adjusted discrimination (concordance index, 0.675). The 5-year overall survival rates for patients without or with AL were 59.4% and 67.4%, respectively (p=0.354).ConclusionsAL was infrequent but was more prevalent in patients with age ≥65 years, hemoglobin ≤8.0g/dL and malnourishment. We created a novel nomogram that can provide individualized prediction of AL in patients after a gastrectomy for gastric cancer, which may help clinicians in making treatment decisions.



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