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Clinical characteristic and pathogenesis of tumor-induced acute pancreatitis: a predictive model
BACKGROUND: The aim of our study was to investigate the clinical characteristics and pathogenesis of tumor-induced acute pancreatitis (AP), and to develop a reliable prediction model of the clinical features to guide the diagnosis and treatment. METHODS: Patients with AP between January 2013 and Dec...
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/PMC9479284/ https://www.ncbi.nlm.nih.gov/pubmed/36109705 http://dx.doi.org/10.1186/s12876-022-02501-9 |
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author | Zheng, Linlin Zhao, Ping Peng, Xiaoqian Zhou, Yunhui Bao, Yichen Sun, Yuling Zhou, Lin |
author_facet | Zheng, Linlin Zhao, Ping Peng, Xiaoqian Zhou, Yunhui Bao, Yichen Sun, Yuling Zhou, Lin |
author_sort | Zheng, Linlin |
collection | PubMed |
description | BACKGROUND: The aim of our study was to investigate the clinical characteristics and pathogenesis of tumor-induced acute pancreatitis (AP), and to develop a reliable prediction model of the clinical features to guide the diagnosis and treatment. METHODS: Patients with AP between January 2013 and December 2021 were enrolled in the study and were subdivided into the tumor group and the non-tumor group. The tumor group was subdivided into three groups based on the primary sites. Characteristic parameters, laboratory and imaging results were compared between groups. Least absolute shrinkage and selection operator regression model, XGBoost and random forest model were used to select the predictors associated with tumor-induced AP. Logistic regression analysis was used to validate the performance of the selected predictors and a nomogram was established to provide individualized probability of a tumor origin for AP. RESULTS: A total amount of 8970 patients were admitted for AP during the study period, and 8637 AP patients were enrolled in the study. Of these, 100 cases (1.16%) were tumor-induced AP. The tumor group was significantly older than the non-tumor group (t = 6.050, p = 0.000). Mild AP was observed in 90 cases, moderate AP in 9 cases and severe AP in one case. Tumors respectively originated from distal bile duct (14 cases), ampulla (13 cases) and pancreas (73 cases). The median time from initial AP to tumor diagnosis was 8.57 weeks and the median number of episode was 2 in the tumor group, which significantly surpassed the non-tumor group (p = 0.000). Age, white blood cell count, percentage of neutrophils, pancreatic or bile duct dilation and recurrent attacks were selected independent predictors for tumor origin. A nomogram model based on these factors was established. CONCLUSION: For patients with agnogenic AP, elderly man, recurrent attacks, pancreatic or bile duct dilatation and continuous no significant increase of inflammatory markers prompt to further screening of pancreatic biliary and ampulla. |
format | Online Article Text |
id | pubmed-9479284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94792842022-09-17 Clinical characteristic and pathogenesis of tumor-induced acute pancreatitis: a predictive model Zheng, Linlin Zhao, Ping Peng, Xiaoqian Zhou, Yunhui Bao, Yichen Sun, Yuling Zhou, Lin BMC Gastroenterol Research BACKGROUND: The aim of our study was to investigate the clinical characteristics and pathogenesis of tumor-induced acute pancreatitis (AP), and to develop a reliable prediction model of the clinical features to guide the diagnosis and treatment. METHODS: Patients with AP between January 2013 and December 2021 were enrolled in the study and were subdivided into the tumor group and the non-tumor group. The tumor group was subdivided into three groups based on the primary sites. Characteristic parameters, laboratory and imaging results were compared between groups. Least absolute shrinkage and selection operator regression model, XGBoost and random forest model were used to select the predictors associated with tumor-induced AP. Logistic regression analysis was used to validate the performance of the selected predictors and a nomogram was established to provide individualized probability of a tumor origin for AP. RESULTS: A total amount of 8970 patients were admitted for AP during the study period, and 8637 AP patients were enrolled in the study. Of these, 100 cases (1.16%) were tumor-induced AP. The tumor group was significantly older than the non-tumor group (t = 6.050, p = 0.000). Mild AP was observed in 90 cases, moderate AP in 9 cases and severe AP in one case. Tumors respectively originated from distal bile duct (14 cases), ampulla (13 cases) and pancreas (73 cases). The median time from initial AP to tumor diagnosis was 8.57 weeks and the median number of episode was 2 in the tumor group, which significantly surpassed the non-tumor group (p = 0.000). Age, white blood cell count, percentage of neutrophils, pancreatic or bile duct dilation and recurrent attacks were selected independent predictors for tumor origin. A nomogram model based on these factors was established. CONCLUSION: For patients with agnogenic AP, elderly man, recurrent attacks, pancreatic or bile duct dilatation and continuous no significant increase of inflammatory markers prompt to further screening of pancreatic biliary and ampulla. BioMed Central 2022-09-15 /pmc/articles/PMC9479284/ /pubmed/36109705 http://dx.doi.org/10.1186/s12876-022-02501-9 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 Zheng, Linlin Zhao, Ping Peng, Xiaoqian Zhou, Yunhui Bao, Yichen Sun, Yuling Zhou, Lin Clinical characteristic and pathogenesis of tumor-induced acute pancreatitis: a predictive model |
title | Clinical characteristic and pathogenesis of tumor-induced acute pancreatitis: a predictive model |
title_full | Clinical characteristic and pathogenesis of tumor-induced acute pancreatitis: a predictive model |
title_fullStr | Clinical characteristic and pathogenesis of tumor-induced acute pancreatitis: a predictive model |
title_full_unstemmed | Clinical characteristic and pathogenesis of tumor-induced acute pancreatitis: a predictive model |
title_short | Clinical characteristic and pathogenesis of tumor-induced acute pancreatitis: a predictive model |
title_sort | clinical characteristic and pathogenesis of tumor-induced acute pancreatitis: a predictive model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479284/ https://www.ncbi.nlm.nih.gov/pubmed/36109705 http://dx.doi.org/10.1186/s12876-022-02501-9 |
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