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Nomogram for prediction of prolonged postoperative ileus after colorectal resection
BACKGROUND: Prolonged postoperative ileus (PPOI) is a major complication in patients undergoing colorectal resection. The aim of this study was to analyze the risk factors contributing to PPOI, and to develop an effective nomogram to determine the risks of this population. METHODS: A total of 1,254...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724353/ https://www.ncbi.nlm.nih.gov/pubmed/36474177 http://dx.doi.org/10.1186/s12885-022-10377-x |
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author | Lin, Zhenmeng Li, Yangming Wu, Jiansheng Zheng, Huizhe Yang, Chunkang |
author_facet | Lin, Zhenmeng Li, Yangming Wu, Jiansheng Zheng, Huizhe Yang, Chunkang |
author_sort | Lin, Zhenmeng |
collection | PubMed |
description | BACKGROUND: Prolonged postoperative ileus (PPOI) is a major complication in patients undergoing colorectal resection. The aim of this study was to analyze the risk factors contributing to PPOI, and to develop an effective nomogram to determine the risks of this population. METHODS: A total of 1,254 patients with colorectal cancer who underwent radical colorectal resection at Fujian Cancer Hospital from March 2016 to August 2021 were enrolled as a training cohort in this study. Univariate analysis and multivariate logistic regressions were performed to determine the correlation between PPOI and clinicopathological characteristics. A nomogram predicting the incidence of PPOI was constructed. The cohort of 153 patients from Fujian Provincial Hospital were enrolled as a validation cohort. Internal and external validations were used to evaluate the prediction ability by area under the receiver operating characteristic curve (AUC) and a calibration plot. RESULTS: In the training cohort, 128 patients (10.2%) had PPOI after colorectal resection. The independent predictive factors of PPOI were identified, and included gender, age, surgical approach and intraoperative fluid overload. The AUC of nomogram were 0.779 (95% CI: 0.736–0.822) and 0.791 (95%CI: 0.677–0.905) in the training and validation cohort, respectively. The two cohorts of calibration plots showed a good consistency between nomogram prediction and actual observation. CONCLUSIONS: A highly accurate nomogram was developed and validated in this study, which can be used to provide individual prediction of PPOI in patients after colorectal resection, and this predictive power can potentially assist surgeons to make the optimal treatment decisions. |
format | Online Article Text |
id | pubmed-9724353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97243532022-12-07 Nomogram for prediction of prolonged postoperative ileus after colorectal resection Lin, Zhenmeng Li, Yangming Wu, Jiansheng Zheng, Huizhe Yang, Chunkang BMC Cancer Research BACKGROUND: Prolonged postoperative ileus (PPOI) is a major complication in patients undergoing colorectal resection. The aim of this study was to analyze the risk factors contributing to PPOI, and to develop an effective nomogram to determine the risks of this population. METHODS: A total of 1,254 patients with colorectal cancer who underwent radical colorectal resection at Fujian Cancer Hospital from March 2016 to August 2021 were enrolled as a training cohort in this study. Univariate analysis and multivariate logistic regressions were performed to determine the correlation between PPOI and clinicopathological characteristics. A nomogram predicting the incidence of PPOI was constructed. The cohort of 153 patients from Fujian Provincial Hospital were enrolled as a validation cohort. Internal and external validations were used to evaluate the prediction ability by area under the receiver operating characteristic curve (AUC) and a calibration plot. RESULTS: In the training cohort, 128 patients (10.2%) had PPOI after colorectal resection. The independent predictive factors of PPOI were identified, and included gender, age, surgical approach and intraoperative fluid overload. The AUC of nomogram were 0.779 (95% CI: 0.736–0.822) and 0.791 (95%CI: 0.677–0.905) in the training and validation cohort, respectively. The two cohorts of calibration plots showed a good consistency between nomogram prediction and actual observation. CONCLUSIONS: A highly accurate nomogram was developed and validated in this study, which can be used to provide individual prediction of PPOI in patients after colorectal resection, and this predictive power can potentially assist surgeons to make the optimal treatment decisions. BioMed Central 2022-12-06 /pmc/articles/PMC9724353/ /pubmed/36474177 http://dx.doi.org/10.1186/s12885-022-10377-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lin, Zhenmeng Li, Yangming Wu, Jiansheng Zheng, Huizhe Yang, Chunkang Nomogram for prediction of prolonged postoperative ileus after colorectal resection |
title | Nomogram for prediction of prolonged postoperative ileus after colorectal resection |
title_full | Nomogram for prediction of prolonged postoperative ileus after colorectal resection |
title_fullStr | Nomogram for prediction of prolonged postoperative ileus after colorectal resection |
title_full_unstemmed | Nomogram for prediction of prolonged postoperative ileus after colorectal resection |
title_short | Nomogram for prediction of prolonged postoperative ileus after colorectal resection |
title_sort | nomogram for prediction of prolonged postoperative ileus after colorectal resection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724353/ https://www.ncbi.nlm.nih.gov/pubmed/36474177 http://dx.doi.org/10.1186/s12885-022-10377-x |
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