Cargando…

A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis

INTRODUCTION: Immunothrombosis has recently been used to describe the responses/mechanisms in thrombosis. Systemic inflammatory markers are prognostic markers for a variety of thrombotic conditions; however, their potential value in predicting portal vein thrombosis (PVT) is unknown. This study aime...

Descripción completa

Detalles Bibliográficos
Autores principales: Xing, Yueyi, Tian, Zibin, Jiang, Yueping, Guan, Ge, Niu, Qinghui, Sun, Xueguo, Han, Rongshuang, Jing, Xue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786242/
https://www.ncbi.nlm.nih.gov/pubmed/35060835
http://dx.doi.org/10.1080/07853890.2022.2028893
_version_ 1784639074433236992
author Xing, Yueyi
Tian, Zibin
Jiang, Yueping
Guan, Ge
Niu, Qinghui
Sun, Xueguo
Han, Rongshuang
Jing, Xue
author_facet Xing, Yueyi
Tian, Zibin
Jiang, Yueping
Guan, Ge
Niu, Qinghui
Sun, Xueguo
Han, Rongshuang
Jing, Xue
author_sort Xing, Yueyi
collection PubMed
description INTRODUCTION: Immunothrombosis has recently been used to describe the responses/mechanisms in thrombosis. Systemic inflammatory markers are prognostic markers for a variety of thrombotic conditions; however, their potential value in predicting portal vein thrombosis (PVT) is unknown. This study aimed to establish an easy-to-use nomogram based on systemic inflammatory markers to predict portal vein thrombosis (PVT) in patients with liver cirrhosis. PATIENTS AND METHODS: This retrospective study included 478 patients with cirrhosis between January 2013 and January 2021. Reputed systemic inflammatory markers (systemic immune-inflammation index [SII], neutrophil-to-lymphocyte ratio [NLR], monocyte-to-lymphocyte ratio [MLR], and platelet-to-lymphocyte ratio (PLR)) were measured, and the clinical data were recorded. The independent risk factors for PVT were determined using univariate analyses and multivariate logistic regression analyses, and a nomogram to predict the occurrence of PVT was established. The concordance index, receiver operating characteristic curves, and calibration plots were used to evaluate the performance of the model. RESULTS: A total of 239 patients with PVT and 239 patients without PVT were selected. In the univariate analysis, high SII, NLR, PLR, and MLR were significantly associated with PVT. NLR and PLR were independent risk factors for PVT (P < 0.05) by multivariate analysis. The nomogram had good predictive efficiency for PVT in patients with cirrhosis, with an area under the receiver operating characteristic (AUROC) curves of 0.891 (95% CI 0.862–0.919) and the calibration curves fit as well, indicating that the nomogram had good clinical application value. CONCLUSIONS: PVT in patients with cirrhosis is associated with increased levels of systemic inflammatory markers. We successfully developed a practical nomogram based on NLR and PLR to accurately predict PVT, which is a practical method helping clinicians rapidly and conveniently diagnose and guide the treatment of PVT in patients with cirrhosis. KEY MESSAGES: The present study is the first report on a nomogram based on systemic inflammatory markers in patients with portal vein thrombosis (PVT). The nomogram had good predictive efficiency and a good clinical application value for predicting PVT in patients with cirrhosis.
format Online
Article
Text
id pubmed-8786242
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-87862422022-01-25 A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis Xing, Yueyi Tian, Zibin Jiang, Yueping Guan, Ge Niu, Qinghui Sun, Xueguo Han, Rongshuang Jing, Xue Ann Med Gastroenterology & Hepatology INTRODUCTION: Immunothrombosis has recently been used to describe the responses/mechanisms in thrombosis. Systemic inflammatory markers are prognostic markers for a variety of thrombotic conditions; however, their potential value in predicting portal vein thrombosis (PVT) is unknown. This study aimed to establish an easy-to-use nomogram based on systemic inflammatory markers to predict portal vein thrombosis (PVT) in patients with liver cirrhosis. PATIENTS AND METHODS: This retrospective study included 478 patients with cirrhosis between January 2013 and January 2021. Reputed systemic inflammatory markers (systemic immune-inflammation index [SII], neutrophil-to-lymphocyte ratio [NLR], monocyte-to-lymphocyte ratio [MLR], and platelet-to-lymphocyte ratio (PLR)) were measured, and the clinical data were recorded. The independent risk factors for PVT were determined using univariate analyses and multivariate logistic regression analyses, and a nomogram to predict the occurrence of PVT was established. The concordance index, receiver operating characteristic curves, and calibration plots were used to evaluate the performance of the model. RESULTS: A total of 239 patients with PVT and 239 patients without PVT were selected. In the univariate analysis, high SII, NLR, PLR, and MLR were significantly associated with PVT. NLR and PLR were independent risk factors for PVT (P < 0.05) by multivariate analysis. The nomogram had good predictive efficiency for PVT in patients with cirrhosis, with an area under the receiver operating characteristic (AUROC) curves of 0.891 (95% CI 0.862–0.919) and the calibration curves fit as well, indicating that the nomogram had good clinical application value. CONCLUSIONS: PVT in patients with cirrhosis is associated with increased levels of systemic inflammatory markers. We successfully developed a practical nomogram based on NLR and PLR to accurately predict PVT, which is a practical method helping clinicians rapidly and conveniently diagnose and guide the treatment of PVT in patients with cirrhosis. KEY MESSAGES: The present study is the first report on a nomogram based on systemic inflammatory markers in patients with portal vein thrombosis (PVT). The nomogram had good predictive efficiency and a good clinical application value for predicting PVT in patients with cirrhosis. Taylor & Francis 2022-01-21 /pmc/articles/PMC8786242/ /pubmed/35060835 http://dx.doi.org/10.1080/07853890.2022.2028893 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Gastroenterology & Hepatology
Xing, Yueyi
Tian, Zibin
Jiang, Yueping
Guan, Ge
Niu, Qinghui
Sun, Xueguo
Han, Rongshuang
Jing, Xue
A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis
title A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis
title_full A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis
title_fullStr A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis
title_full_unstemmed A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis
title_short A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis
title_sort practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis
topic Gastroenterology & Hepatology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786242/
https://www.ncbi.nlm.nih.gov/pubmed/35060835
http://dx.doi.org/10.1080/07853890.2022.2028893
work_keys_str_mv AT xingyueyi apracticalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT tianzibin apracticalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT jiangyueping apracticalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT guange apracticalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT niuqinghui apracticalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT sunxueguo apracticalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT hanrongshuang apracticalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT jingxue apracticalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT xingyueyi practicalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT tianzibin practicalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT jiangyueping practicalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT guange practicalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT niuqinghui practicalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT sunxueguo practicalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT hanrongshuang practicalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis
AT jingxue practicalnomogrambasedonsystemicinflammatorymarkersforpredictingportalveinthrombosisinpatientswithlivercirrhosis