Establishment of a model for predicting delayed post-polypectomy bleeding: A real-world retrospective study
BackgroundDelayed post-polypectomy bleeding (DPPB) is the most common complication which occurs within 30 days after polypectomy, it has become rather common with the widespread of colorectal cancer screening. It is important to clarified predictors of DPPB and identify patients at high risk.Materia...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.1035646/full |
| _version_ | 1811341190557073408 |
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| author | Yu Lu Xiaoying Zhou Han Chen Chao Ding Xinmin Si |
| author_facet | Yu Lu Xiaoying Zhou Han Chen Chao Ding Xinmin Si |
| author_sort | Yu Lu |
| collection | DOAJ |
| description | BackgroundDelayed post-polypectomy bleeding (DPPB) is the most common complication which occurs within 30 days after polypectomy, it has become rather common with the widespread of colorectal cancer screening. It is important to clarified predictors of DPPB and identify patients at high risk.Materials and methodsThis was a real-world retrospective study based on medical records from The First Affiliated Hospital of Nanjing Medical University. Cases of patients who underwent colonoscopic polypectomy between January 2016 and December 2020 were reviewed to identify risk factors of DPPB. We use the LASSO-Logistic regression analysis model to identify independent predictors and create a predictive model. The model finally got visualized by developing a nomogram.ResultsColonoscopic polypectomy was done on 16,925 patients in our study. DPPB occurred in 125 (0.74%) of these instances. In multivariate analysis, age, sex, hypertension, polyp location, polyp size, and operative modality were found to be independent risk factors and were integrated for the construction of a nomogram. The model’s C-index is 0.801 (95%CI: 0.761–0.846). We also found polyps located at the right semicolon and polyp ≥ 1 cm associated with active bleeding under the therapeutic colonoscopy.ConclusionYoung age, male, hypertension, polyp ≥ 1 cm, proximal colon location and operative modality were finally identified as significant predictors of DPPB. We developed and validated a nomogram which performs well in predicting the incidence of DPPB, the model we established can be used as a valuable screening tool to identify patients who are at high risk of bleeding. |
| first_indexed | 2024-04-13T18:53:58Z |
| format | Article |
| id | doaj.art-c11030d246cd4c0685f88ae0d12a4a06 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-04-13T18:53:58Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-c11030d246cd4c0685f88ae0d12a4a062022-12-22T02:34:20ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-10-01910.3389/fmed.2022.10356461035646Establishment of a model for predicting delayed post-polypectomy bleeding: A real-world retrospective studyYu LuXiaoying ZhouHan ChenChao DingXinmin SiBackgroundDelayed post-polypectomy bleeding (DPPB) is the most common complication which occurs within 30 days after polypectomy, it has become rather common with the widespread of colorectal cancer screening. It is important to clarified predictors of DPPB and identify patients at high risk.Materials and methodsThis was a real-world retrospective study based on medical records from The First Affiliated Hospital of Nanjing Medical University. Cases of patients who underwent colonoscopic polypectomy between January 2016 and December 2020 were reviewed to identify risk factors of DPPB. We use the LASSO-Logistic regression analysis model to identify independent predictors and create a predictive model. The model finally got visualized by developing a nomogram.ResultsColonoscopic polypectomy was done on 16,925 patients in our study. DPPB occurred in 125 (0.74%) of these instances. In multivariate analysis, age, sex, hypertension, polyp location, polyp size, and operative modality were found to be independent risk factors and were integrated for the construction of a nomogram. The model’s C-index is 0.801 (95%CI: 0.761–0.846). We also found polyps located at the right semicolon and polyp ≥ 1 cm associated with active bleeding under the therapeutic colonoscopy.ConclusionYoung age, male, hypertension, polyp ≥ 1 cm, proximal colon location and operative modality were finally identified as significant predictors of DPPB. We developed and validated a nomogram which performs well in predicting the incidence of DPPB, the model we established can be used as a valuable screening tool to identify patients who are at high risk of bleeding.https://www.frontiersin.org/articles/10.3389/fmed.2022.1035646/fullcolorectal neoplasmsendoscopygastrointestinal hemorrhageadverse eventnomogram |
| spellingShingle | Yu Lu Xiaoying Zhou Han Chen Chao Ding Xinmin Si Establishment of a model for predicting delayed post-polypectomy bleeding: A real-world retrospective study Frontiers in Medicine colorectal neoplasms endoscopy gastrointestinal hemorrhage adverse event nomogram |
| title | Establishment of a model for predicting delayed post-polypectomy bleeding: A real-world retrospective study |
| title_full | Establishment of a model for predicting delayed post-polypectomy bleeding: A real-world retrospective study |
| title_fullStr | Establishment of a model for predicting delayed post-polypectomy bleeding: A real-world retrospective study |
| title_full_unstemmed | Establishment of a model for predicting delayed post-polypectomy bleeding: A real-world retrospective study |
| title_short | Establishment of a model for predicting delayed post-polypectomy bleeding: A real-world retrospective study |
| title_sort | establishment of a model for predicting delayed post polypectomy bleeding a real world retrospective study |
| topic | colorectal neoplasms endoscopy gastrointestinal hemorrhage adverse event nomogram |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.1035646/full |
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