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Development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study

BACKGROUND: Portal vein thrombosis is a common complication of liver cirrhosis and hepatocellular carcinoma; however, few studies have reported its long-term clinical prognosis. This study aimed to establish and validate easy-to-use nomograms for predicting gastrointestinal bleeding, portal vein thr...

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Autores principales: Zhong, Xuan, Li, Shan, Hu, Jiali, Lu, Jinlai, Wang, Wei, Hu, Miao, Sun, Qinjuan, Zhang, Shuo, Yang, Xiaoqing, Yang, Changqing, Zhong, Lan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869608/
https://www.ncbi.nlm.nih.gov/pubmed/36691024
http://dx.doi.org/10.1186/s12959-023-00455-w
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author Zhong, Xuan
Li, Shan
Hu, Jiali
Lu, Jinlai
Wang, Wei
Hu, Miao
Sun, Qinjuan
Zhang, Shuo
Yang, Xiaoqing
Yang, Changqing
Zhong, Lan
author_facet Zhong, Xuan
Li, Shan
Hu, Jiali
Lu, Jinlai
Wang, Wei
Hu, Miao
Sun, Qinjuan
Zhang, Shuo
Yang, Xiaoqing
Yang, Changqing
Zhong, Lan
author_sort Zhong, Xuan
collection PubMed
description BACKGROUND: Portal vein thrombosis is a common complication of liver cirrhosis and hepatocellular carcinoma; however, few studies have reported its long-term clinical prognosis. This study aimed to establish and validate easy-to-use nomograms for predicting gastrointestinal bleeding, portal vein thrombosis resolution, and mortality of patients with portal vein thrombosis. METHODS: This multicenter retrospective cohort study included 425 patients with portal vein thrombosis who were divided into training (n = 334) and validation (n = 91) sets. Prediction models were developed using multivariate Cox regression analysis and evaluated using the consistency index and calibration plots. RESULTS: Predictors of gastrointestinal bleeding included a history of gastrointestinal bleeding, superior mesenteric vein thrombosis, red color sign observed during endoscopy, and hepatic encephalopathy. Meanwhile, predictors of resolution of portal vein thrombosis included a history of abdominal infection, C-reactive protein and hemoglobin levels, and intake of thrombolytics. Predictors of death included abdominal infection, abdominal surgery, aspartate aminotransferase level, hepatic encephalopathy, and ascites. All models had good discriminatory power and consistency. Anticoagulation therapy significantly increased the probability of thrombotic resolution without increasing the risk of bleeding or death. CONCLUSIONS: We successfully developed and validated three prediction models that can aid in the early evaluation and treatment of portal vein thrombosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12959-023-00455-w.
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spelling pubmed-98696082023-01-24 Development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study Zhong, Xuan Li, Shan Hu, Jiali Lu, Jinlai Wang, Wei Hu, Miao Sun, Qinjuan Zhang, Shuo Yang, Xiaoqing Yang, Changqing Zhong, Lan Thromb J Research BACKGROUND: Portal vein thrombosis is a common complication of liver cirrhosis and hepatocellular carcinoma; however, few studies have reported its long-term clinical prognosis. This study aimed to establish and validate easy-to-use nomograms for predicting gastrointestinal bleeding, portal vein thrombosis resolution, and mortality of patients with portal vein thrombosis. METHODS: This multicenter retrospective cohort study included 425 patients with portal vein thrombosis who were divided into training (n = 334) and validation (n = 91) sets. Prediction models were developed using multivariate Cox regression analysis and evaluated using the consistency index and calibration plots. RESULTS: Predictors of gastrointestinal bleeding included a history of gastrointestinal bleeding, superior mesenteric vein thrombosis, red color sign observed during endoscopy, and hepatic encephalopathy. Meanwhile, predictors of resolution of portal vein thrombosis included a history of abdominal infection, C-reactive protein and hemoglobin levels, and intake of thrombolytics. Predictors of death included abdominal infection, abdominal surgery, aspartate aminotransferase level, hepatic encephalopathy, and ascites. All models had good discriminatory power and consistency. Anticoagulation therapy significantly increased the probability of thrombotic resolution without increasing the risk of bleeding or death. CONCLUSIONS: We successfully developed and validated three prediction models that can aid in the early evaluation and treatment of portal vein thrombosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12959-023-00455-w. BioMed Central 2023-01-23 /pmc/articles/PMC9869608/ /pubmed/36691024 http://dx.doi.org/10.1186/s12959-023-00455-w Text en © The Author(s) 2023 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
Zhong, Xuan
Li, Shan
Hu, Jiali
Lu, Jinlai
Wang, Wei
Hu, Miao
Sun, Qinjuan
Zhang, Shuo
Yang, Xiaoqing
Yang, Changqing
Zhong, Lan
Development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study
title Development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study
title_full Development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study
title_fullStr Development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study
title_full_unstemmed Development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study
title_short Development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study
title_sort development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869608/
https://www.ncbi.nlm.nih.gov/pubmed/36691024
http://dx.doi.org/10.1186/s12959-023-00455-w
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