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Development of a Risk Scoring System for Predicting Anastomotic Leakage Following Laparoscopic Rectal Cancer Surgery

PURPOSE: To develop a risk scoring system that can predict the incidence of anastomotic leakage after laparoscopic rectal cancer surgery. PATIENTS AND METHODS: The clinical data of 387 patients with rectal cancer who underwent laparoscopic low anterior resection were retrospectively collected. Univa...

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Autores principales: Han, Zhongbo, Chen, Dawei, Li, Yan, Zhou, Guangshuai, Wang, Meng, Zhang, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898229/
https://www.ncbi.nlm.nih.gov/pubmed/33628027
http://dx.doi.org/10.2147/TCRM.S297278
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author Han, Zhongbo
Chen, Dawei
Li, Yan
Zhou, Guangshuai
Wang, Meng
Zhang, Chao
author_facet Han, Zhongbo
Chen, Dawei
Li, Yan
Zhou, Guangshuai
Wang, Meng
Zhang, Chao
author_sort Han, Zhongbo
collection PubMed
description PURPOSE: To develop a risk scoring system that can predict the incidence of anastomotic leakage after laparoscopic rectal cancer surgery. PATIENTS AND METHODS: The clinical data of 387 patients with rectal cancer who underwent laparoscopic low anterior resection were retrospectively collected. Univariable and multivariable logistic regression analyses were used to evaluate independent risk factors for postoperative anastomotic leakage. A simplified points system was then developed based on the corresponding regression coefficient β of each risk factor. Receiver operating characteristic (ROC) analysis was used to evaluate the performance and the optimal cut-off value in predicting anastomotic leakage. The performance of the points system was then externally validated in an independent cohort of 192 patients based in another institution. RESULTS: Anastomotic leakage occurred in 36 of 387 patients with rectal cancer (9.30%). Logistic multivariable regression analysis showed that males, maximum tumor diameter (≥5cm), operation time (≥180min), preoperative chemoradiation, intraoperative blood transfusion and the anastomosis level from the anal verge (≤5cm) were independent risk factors for the incidence of anastomotic leakage. According to the scoring standard, the risk points of each patient were calculated. ROC analysis based on the risk points showed that the area under the curve (AUC) was 0.795 (95% CI:0.752–0.834) and the optimal cut-off value was 6, yielding a sensitivity of 88.89% and a specificity of 62.96%. Using this risk points system, the AUC of another cohort of 192 patients from another institution who underwent laparoscopic low anterior resection for rectal cancer was 0.853 (95% CI:0.794–0.900, p<0.001) and patients with risk points ≥6 had a 21.05% chance of developing anastomotic leakage. CONCLUSION: This risk points system for predicting anastomotic leakage following laparoscopic rectal cancer surgery may be useful for surgeons in their decisions to perform intraoperative diversion stoma, which can reduce the incidence of postoperative anastomotic leakage.
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spelling pubmed-78982292021-02-23 Development of a Risk Scoring System for Predicting Anastomotic Leakage Following Laparoscopic Rectal Cancer Surgery Han, Zhongbo Chen, Dawei Li, Yan Zhou, Guangshuai Wang, Meng Zhang, Chao Ther Clin Risk Manag Original Research PURPOSE: To develop a risk scoring system that can predict the incidence of anastomotic leakage after laparoscopic rectal cancer surgery. PATIENTS AND METHODS: The clinical data of 387 patients with rectal cancer who underwent laparoscopic low anterior resection were retrospectively collected. Univariable and multivariable logistic regression analyses were used to evaluate independent risk factors for postoperative anastomotic leakage. A simplified points system was then developed based on the corresponding regression coefficient β of each risk factor. Receiver operating characteristic (ROC) analysis was used to evaluate the performance and the optimal cut-off value in predicting anastomotic leakage. The performance of the points system was then externally validated in an independent cohort of 192 patients based in another institution. RESULTS: Anastomotic leakage occurred in 36 of 387 patients with rectal cancer (9.30%). Logistic multivariable regression analysis showed that males, maximum tumor diameter (≥5cm), operation time (≥180min), preoperative chemoradiation, intraoperative blood transfusion and the anastomosis level from the anal verge (≤5cm) were independent risk factors for the incidence of anastomotic leakage. According to the scoring standard, the risk points of each patient were calculated. ROC analysis based on the risk points showed that the area under the curve (AUC) was 0.795 (95% CI:0.752–0.834) and the optimal cut-off value was 6, yielding a sensitivity of 88.89% and a specificity of 62.96%. Using this risk points system, the AUC of another cohort of 192 patients from another institution who underwent laparoscopic low anterior resection for rectal cancer was 0.853 (95% CI:0.794–0.900, p<0.001) and patients with risk points ≥6 had a 21.05% chance of developing anastomotic leakage. CONCLUSION: This risk points system for predicting anastomotic leakage following laparoscopic rectal cancer surgery may be useful for surgeons in their decisions to perform intraoperative diversion stoma, which can reduce the incidence of postoperative anastomotic leakage. Dove 2021-02-17 /pmc/articles/PMC7898229/ /pubmed/33628027 http://dx.doi.org/10.2147/TCRM.S297278 Text en © 2021 Han et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Han, Zhongbo
Chen, Dawei
Li, Yan
Zhou, Guangshuai
Wang, Meng
Zhang, Chao
Development of a Risk Scoring System for Predicting Anastomotic Leakage Following Laparoscopic Rectal Cancer Surgery
title Development of a Risk Scoring System for Predicting Anastomotic Leakage Following Laparoscopic Rectal Cancer Surgery
title_full Development of a Risk Scoring System for Predicting Anastomotic Leakage Following Laparoscopic Rectal Cancer Surgery
title_fullStr Development of a Risk Scoring System for Predicting Anastomotic Leakage Following Laparoscopic Rectal Cancer Surgery
title_full_unstemmed Development of a Risk Scoring System for Predicting Anastomotic Leakage Following Laparoscopic Rectal Cancer Surgery
title_short Development of a Risk Scoring System for Predicting Anastomotic Leakage Following Laparoscopic Rectal Cancer Surgery
title_sort development of a risk scoring system for predicting anastomotic leakage following laparoscopic rectal cancer surgery
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898229/
https://www.ncbi.nlm.nih.gov/pubmed/33628027
http://dx.doi.org/10.2147/TCRM.S297278
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