Nomogram Prediction of Anastomotic Leakage and Determination of an Effective Surgical Strategy for Reducing Anastomotic Leakage after Laparoscopic Rectal Cancer Surgery

Background. Although many surgical strategies have been used to reduce the anastomotic leak (AL) rate after laparoscopic rectal cancer surgery, limited data are available on the risk factors for AL and the effective strategy to reduce AL. Methods. The present study enrolled 736 consecutive patients...

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Main Authors: Chang Hyun Kim, Soo Young Lee, Hyeong Rok Kim, Young Jin Kim
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Gastroenterology Research and Practice
Online Access:http://dx.doi.org/10.1155/2017/4510561
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author Chang Hyun Kim
Soo Young Lee
Hyeong Rok Kim
Young Jin Kim
author_facet Chang Hyun Kim
Soo Young Lee
Hyeong Rok Kim
Young Jin Kim
author_sort Chang Hyun Kim
collection DOAJ
description Background. Although many surgical strategies have been used to reduce the anastomotic leak (AL) rate after laparoscopic rectal cancer surgery, limited data are available on the risk factors for AL and the effective strategy to reduce AL. Methods. The present study enrolled 736 consecutive patients who underwent laparoscopic resection without a diverting stoma for rectal adenocarcinoma. A nomogram was constructed to predict AL. Based on the nomogram, personalized risk was calculated and sequential surgical strategies were monitored using risk-adjusted cumulative sum (RA-CUSUM) analysis. Results. Among the 736 patients, clinical AL occurred in 65 patients (8.8%). Sex, an American Society of Anesthesiologists score, operation time, blood transfusion, and tumor location were identified as significant predictive factors for AL. Based on these factors, a nomogram was created to predict AL, with a concordance index (C-index) of 0.753 (95% confidence interval, 0.690–0.816). A calibration plot showed good statistical performance on internal validation (bias-corrected C-index of 0.742). The RA-CUSUM curve showed that extended splenic flexure mobilization (SFM) could be the most influential strategy to reduce AL. Conclusions. Our nomogram for predicting AL after laparoscopic rectal cancer surgery might be helpful to identify the individual risk of AL. Furthermore, extended SFM might be the most appropriate strategy for reducing AL.
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spelling doaj-art-4309006786f144be867a7c831ea9a0622025-08-20T03:35:54ZengWileyGastroenterology Research and Practice1687-61211687-630X2017-01-01201710.1155/2017/45105614510561Nomogram Prediction of Anastomotic Leakage and Determination of an Effective Surgical Strategy for Reducing Anastomotic Leakage after Laparoscopic Rectal Cancer SurgeryChang Hyun Kim0Soo Young Lee1Hyeong Rok Kim2Young Jin Kim3Department of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Chonnam, Republic of KoreaDepartment of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Chonnam, Republic of KoreaDepartment of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Chonnam, Republic of KoreaDepartment of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Chonnam, Republic of KoreaBackground. Although many surgical strategies have been used to reduce the anastomotic leak (AL) rate after laparoscopic rectal cancer surgery, limited data are available on the risk factors for AL and the effective strategy to reduce AL. Methods. The present study enrolled 736 consecutive patients who underwent laparoscopic resection without a diverting stoma for rectal adenocarcinoma. A nomogram was constructed to predict AL. Based on the nomogram, personalized risk was calculated and sequential surgical strategies were monitored using risk-adjusted cumulative sum (RA-CUSUM) analysis. Results. Among the 736 patients, clinical AL occurred in 65 patients (8.8%). Sex, an American Society of Anesthesiologists score, operation time, blood transfusion, and tumor location were identified as significant predictive factors for AL. Based on these factors, a nomogram was created to predict AL, with a concordance index (C-index) of 0.753 (95% confidence interval, 0.690–0.816). A calibration plot showed good statistical performance on internal validation (bias-corrected C-index of 0.742). The RA-CUSUM curve showed that extended splenic flexure mobilization (SFM) could be the most influential strategy to reduce AL. Conclusions. Our nomogram for predicting AL after laparoscopic rectal cancer surgery might be helpful to identify the individual risk of AL. Furthermore, extended SFM might be the most appropriate strategy for reducing AL.http://dx.doi.org/10.1155/2017/4510561
spellingShingle Chang Hyun Kim
Soo Young Lee
Hyeong Rok Kim
Young Jin Kim
Nomogram Prediction of Anastomotic Leakage and Determination of an Effective Surgical Strategy for Reducing Anastomotic Leakage after Laparoscopic Rectal Cancer Surgery
Gastroenterology Research and Practice
title Nomogram Prediction of Anastomotic Leakage and Determination of an Effective Surgical Strategy for Reducing Anastomotic Leakage after Laparoscopic Rectal Cancer Surgery
title_full Nomogram Prediction of Anastomotic Leakage and Determination of an Effective Surgical Strategy for Reducing Anastomotic Leakage after Laparoscopic Rectal Cancer Surgery
title_fullStr Nomogram Prediction of Anastomotic Leakage and Determination of an Effective Surgical Strategy for Reducing Anastomotic Leakage after Laparoscopic Rectal Cancer Surgery
title_full_unstemmed Nomogram Prediction of Anastomotic Leakage and Determination of an Effective Surgical Strategy for Reducing Anastomotic Leakage after Laparoscopic Rectal Cancer Surgery
title_short Nomogram Prediction of Anastomotic Leakage and Determination of an Effective Surgical Strategy for Reducing Anastomotic Leakage after Laparoscopic Rectal Cancer Surgery
title_sort nomogram prediction of anastomotic leakage and determination of an effective surgical strategy for reducing anastomotic leakage after laparoscopic rectal cancer surgery
url http://dx.doi.org/10.1155/2017/4510561
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