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Nomogram for Predicting Risk of Intestinal Complications After Colorectal Cancer Surgery

BACKGROUND: Intestinal complications are a major cause of morbidity after colorectal cancer surgery. This study aimed to develop an effective nomogram for predicting risk of intestinal complications following colorectal cancer surgery. MATERIAL/METHODS: We retrospectively analyzed 1876 patients who...

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Autores principales: Jiang, Hui-hong, Dong, Xian-long, Tang, Xuan, Li, A-jian, Chang, Yi, Li, Hua-guang, Chen, Ying, Zhang, Zhi-yong, Tang, Er-jiang, Lin, Mou-bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6439933/
https://www.ncbi.nlm.nih.gov/pubmed/30897070
http://dx.doi.org/10.12659/MSM.915692
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author Jiang, Hui-hong
Dong, Xian-long
Tang, Xuan
Li, A-jian
Chang, Yi
Li, Hua-guang
Chen, Ying
Zhang, Zhi-yong
Tang, Er-jiang
Lin, Mou-bin
author_facet Jiang, Hui-hong
Dong, Xian-long
Tang, Xuan
Li, A-jian
Chang, Yi
Li, Hua-guang
Chen, Ying
Zhang, Zhi-yong
Tang, Er-jiang
Lin, Mou-bin
author_sort Jiang, Hui-hong
collection PubMed
description BACKGROUND: Intestinal complications are a major cause of morbidity after colorectal cancer surgery. This study aimed to develop an effective nomogram for predicting risk of intestinal complications following colorectal cancer surgery. MATERIAL/METHODS: We retrospectively analyzed 1876 patients who underwent colorectal cancer surgery at Yangpu and Zhuji hospitals from January 2013 to October 2018. Intestinal complications were defined as intestinal obstruction, leakage or bleeding, or peritonitis within 30 days after surgery. A logistic regression model was used to identify the risk factors associated with postoperative intestinal complications, and a nomogram for intestinal complications was established. The predictive accuracy of the nomogram was assessed using area under the receiver operating characteristic curve (AUC) and calibration plot. RESULTS: A total of 164 patients (8.7%) developed intestinal complications after colorectal cancer surgery; 35 (21.3%) of whom died in the postoperative period. Multivariate logistic analysis showed that male gender, history of abdominal surgery, preoperative intestinal obstruction/perforation, metastatic cancer, and lower level of hemoglobin and prognostic nutrition index were independent risk factors (P<0.05 for all). A nomogram was then constructed, and it displayed good accuracy in predicting postoperative intestinal complications with an AUC of 0.76. The calibration plot also showed an excellent agreement between the predicted and observed probabilities. CONCLUSIONS: We constructed a nomogram based on clinical variables, which could provide individual prediction of postoperative intestinal complications with good accuracy.
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spelling pubmed-64399332019-04-17 Nomogram for Predicting Risk of Intestinal Complications After Colorectal Cancer Surgery Jiang, Hui-hong Dong, Xian-long Tang, Xuan Li, A-jian Chang, Yi Li, Hua-guang Chen, Ying Zhang, Zhi-yong Tang, Er-jiang Lin, Mou-bin Med Sci Monit Clinical Research BACKGROUND: Intestinal complications are a major cause of morbidity after colorectal cancer surgery. This study aimed to develop an effective nomogram for predicting risk of intestinal complications following colorectal cancer surgery. MATERIAL/METHODS: We retrospectively analyzed 1876 patients who underwent colorectal cancer surgery at Yangpu and Zhuji hospitals from January 2013 to October 2018. Intestinal complications were defined as intestinal obstruction, leakage or bleeding, or peritonitis within 30 days after surgery. A logistic regression model was used to identify the risk factors associated with postoperative intestinal complications, and a nomogram for intestinal complications was established. The predictive accuracy of the nomogram was assessed using area under the receiver operating characteristic curve (AUC) and calibration plot. RESULTS: A total of 164 patients (8.7%) developed intestinal complications after colorectal cancer surgery; 35 (21.3%) of whom died in the postoperative period. Multivariate logistic analysis showed that male gender, history of abdominal surgery, preoperative intestinal obstruction/perforation, metastatic cancer, and lower level of hemoglobin and prognostic nutrition index were independent risk factors (P<0.05 for all). A nomogram was then constructed, and it displayed good accuracy in predicting postoperative intestinal complications with an AUC of 0.76. The calibration plot also showed an excellent agreement between the predicted and observed probabilities. CONCLUSIONS: We constructed a nomogram based on clinical variables, which could provide individual prediction of postoperative intestinal complications with good accuracy. International Scientific Literature, Inc. 2019-03-21 /pmc/articles/PMC6439933/ /pubmed/30897070 http://dx.doi.org/10.12659/MSM.915692 Text en © Med Sci Monit, 2019 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Clinical Research
Jiang, Hui-hong
Dong, Xian-long
Tang, Xuan
Li, A-jian
Chang, Yi
Li, Hua-guang
Chen, Ying
Zhang, Zhi-yong
Tang, Er-jiang
Lin, Mou-bin
Nomogram for Predicting Risk of Intestinal Complications After Colorectal Cancer Surgery
title Nomogram for Predicting Risk of Intestinal Complications After Colorectal Cancer Surgery
title_full Nomogram for Predicting Risk of Intestinal Complications After Colorectal Cancer Surgery
title_fullStr Nomogram for Predicting Risk of Intestinal Complications After Colorectal Cancer Surgery
title_full_unstemmed Nomogram for Predicting Risk of Intestinal Complications After Colorectal Cancer Surgery
title_short Nomogram for Predicting Risk of Intestinal Complications After Colorectal Cancer Surgery
title_sort nomogram for predicting risk of intestinal complications after colorectal cancer surgery
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6439933/
https://www.ncbi.nlm.nih.gov/pubmed/30897070
http://dx.doi.org/10.12659/MSM.915692
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