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TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis

INTRODUCTION: The aim of this study was to develop a noninvasive prediction model for histological stages in PBC that is simple, easy to implement, and highly accurate. METHODS: A total of 114 patients with PBC were included in this study. Demographic, laboratory data and histological assessments we...

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Autores principales: Tu, Zhixin, Wang, Yao, Wang, Yan, Huang, Jianjie, Han, Yujin, Ji, Qijia, Cao, Xiaoxuan, Wen, Xiaoyu, Wang, Yang, Jin, Qinglong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060872/
https://www.ncbi.nlm.nih.gov/pubmed/37006277
http://dx.doi.org/10.3389/fimmu.2023.1152294
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author Tu, Zhixin
Wang, Yao
Wang, Yan
Huang, Jianjie
Han, Yujin
Ji, Qijia
Cao, Xiaoxuan
Wen, Xiaoyu
Wang, Yang
Jin, Qinglong
author_facet Tu, Zhixin
Wang, Yao
Wang, Yan
Huang, Jianjie
Han, Yujin
Ji, Qijia
Cao, Xiaoxuan
Wen, Xiaoyu
Wang, Yang
Jin, Qinglong
author_sort Tu, Zhixin
collection PubMed
description INTRODUCTION: The aim of this study was to develop a noninvasive prediction model for histological stages in PBC that is simple, easy to implement, and highly accurate. METHODS: A total of 114 patients with PBC were included in this study. Demographic, laboratory data and histological assessments were collected. The independent predictors of histological stages were selected to establish a noninvasive serological model. The scores of 22 noninvasive models were calculated and compared with the established model. RESULTS: This study included 99 females (86.8%) and 15 males (13.2%). The number of patients in Scheuer’s stage 1, 2, 3 and 4 was 33 (29.0%), 34 (29.8%), 16 (14.0%), and 31 (27.2%), respectively. TBA and RDW are independent predictors of PBC histological stages. The above indexes were used to establish a noninvasive model-TR score. When predicting early histological change (S1) or liver fibrosis and cirrhosis (S3-S4), the AUROC of TR score were 0.887 (95% CI, 0.809-0.965) and 0.893 (95% CI, 0.816-0.969), higher than all of the other 22 models included in this study. When predicting cirrhosis (S4), its AUROC is still as high as 0.921 (95% CI, 0.837-1.000). CONCLUSION: TR score is an easy, cheap and stable noninvasive model, without complex calculation formulas and tools, and shows good accuracy in diagnosing the histological stages of PBC.
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spelling pubmed-100608722023-03-31 TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis Tu, Zhixin Wang, Yao Wang, Yan Huang, Jianjie Han, Yujin Ji, Qijia Cao, Xiaoxuan Wen, Xiaoyu Wang, Yang Jin, Qinglong Front Immunol Immunology INTRODUCTION: The aim of this study was to develop a noninvasive prediction model for histological stages in PBC that is simple, easy to implement, and highly accurate. METHODS: A total of 114 patients with PBC were included in this study. Demographic, laboratory data and histological assessments were collected. The independent predictors of histological stages were selected to establish a noninvasive serological model. The scores of 22 noninvasive models were calculated and compared with the established model. RESULTS: This study included 99 females (86.8%) and 15 males (13.2%). The number of patients in Scheuer’s stage 1, 2, 3 and 4 was 33 (29.0%), 34 (29.8%), 16 (14.0%), and 31 (27.2%), respectively. TBA and RDW are independent predictors of PBC histological stages. The above indexes were used to establish a noninvasive model-TR score. When predicting early histological change (S1) or liver fibrosis and cirrhosis (S3-S4), the AUROC of TR score were 0.887 (95% CI, 0.809-0.965) and 0.893 (95% CI, 0.816-0.969), higher than all of the other 22 models included in this study. When predicting cirrhosis (S4), its AUROC is still as high as 0.921 (95% CI, 0.837-1.000). CONCLUSION: TR score is an easy, cheap and stable noninvasive model, without complex calculation formulas and tools, and shows good accuracy in diagnosing the histological stages of PBC. Frontiers Media S.A. 2023-03-16 /pmc/articles/PMC10060872/ /pubmed/37006277 http://dx.doi.org/10.3389/fimmu.2023.1152294 Text en Copyright © 2023 Tu, Wang, Wang, Huang, Han, Ji, Cao, Wen, Wang and Jin https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Tu, Zhixin
Wang, Yao
Wang, Yan
Huang, Jianjie
Han, Yujin
Ji, Qijia
Cao, Xiaoxuan
Wen, Xiaoyu
Wang, Yang
Jin, Qinglong
TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis
title TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis
title_full TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis
title_fullStr TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis
title_full_unstemmed TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis
title_short TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis
title_sort tr score: a noninvasive model to predict histological stages in patients with primary biliary cholangitis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060872/
https://www.ncbi.nlm.nih.gov/pubmed/37006277
http://dx.doi.org/10.3389/fimmu.2023.1152294
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