Cargando…
Predictive Model of Ursodeoxycholic Acid Treatment Response in Primary Biliary Cholangitis
BACKGROUND AND AIMS: Although ursodeoxycholic acid (UDCA) treatment in primary biliary cholangitis is effective in many patients, there are still many people who respond poorly to it. Identifying and intervening these patients early is important. Therefore, exploring the risk factors and proposing a...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
XIA & HE Publishing Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111104/ https://www.ncbi.nlm.nih.gov/pubmed/34007800 http://dx.doi.org/10.14218/JCTH.2020.00127 |
_version_ | 1783690434129690624 |
---|---|
author | Shu, Yanyun Song, Yuhu Bai, Tao Pan, Xiaoli Shang, Haitao Yang, Ling Ye, Jin Du, Fan |
author_facet | Shu, Yanyun Song, Yuhu Bai, Tao Pan, Xiaoli Shang, Haitao Yang, Ling Ye, Jin Du, Fan |
author_sort | Shu, Yanyun |
collection | PubMed |
description | BACKGROUND AND AIMS: Although ursodeoxycholic acid (UDCA) treatment in primary biliary cholangitis is effective in many patients, there are still many people who respond poorly to it. Identifying and intervening these patients early is important. Therefore, exploring the risk factors and proposing a predictor index to predict the UDCA treatment nonresponse earlier among primary biliary cholangitis patients were the aims of this research. METHODS: A total of 135 primary biliary cholangitis patients treated with UDCA (13–15 mg/kg/d) were enrolled in this retrospective study. The response to treatment was evaluated based on Paris I criteria. The univariate and logistic multivariate regression analyses were adopted to determine the independent risk factors and propose a predictor index. Receiver operating characteristic curve was used to evaluate the predictive ability of the predictor index. RESULTS: Total bilirubin, albumin, globulin, immunoglobin M, and aspartate aminotransferase-to-platelet ratio index were the five independent risk factors associating with early biochemical nonresponse to UDCA treatment. Based on these factors, we established a predictor index with the predictive value being 0.886 (sensitivity: 82.80%, specificity: 84.40%). CONCLUSIONS: We developed a predictor index that had an accurate prediction of the early biochemical nonresponse to UDCA treatment, which is expected to provide valuable information for the high-risk group before treatment begins. |
format | Online Article Text |
id | pubmed-8111104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | XIA & HE Publishing Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81111042021-05-17 Predictive Model of Ursodeoxycholic Acid Treatment Response in Primary Biliary Cholangitis Shu, Yanyun Song, Yuhu Bai, Tao Pan, Xiaoli Shang, Haitao Yang, Ling Ye, Jin Du, Fan J Clin Transl Hepatol Original Article BACKGROUND AND AIMS: Although ursodeoxycholic acid (UDCA) treatment in primary biliary cholangitis is effective in many patients, there are still many people who respond poorly to it. Identifying and intervening these patients early is important. Therefore, exploring the risk factors and proposing a predictor index to predict the UDCA treatment nonresponse earlier among primary biliary cholangitis patients were the aims of this research. METHODS: A total of 135 primary biliary cholangitis patients treated with UDCA (13–15 mg/kg/d) were enrolled in this retrospective study. The response to treatment was evaluated based on Paris I criteria. The univariate and logistic multivariate regression analyses were adopted to determine the independent risk factors and propose a predictor index. Receiver operating characteristic curve was used to evaluate the predictive ability of the predictor index. RESULTS: Total bilirubin, albumin, globulin, immunoglobin M, and aspartate aminotransferase-to-platelet ratio index were the five independent risk factors associating with early biochemical nonresponse to UDCA treatment. Based on these factors, we established a predictor index with the predictive value being 0.886 (sensitivity: 82.80%, specificity: 84.40%). CONCLUSIONS: We developed a predictor index that had an accurate prediction of the early biochemical nonresponse to UDCA treatment, which is expected to provide valuable information for the high-risk group before treatment begins. XIA & HE Publishing Inc. 2021-04-28 2021-03-04 /pmc/articles/PMC8111104/ /pubmed/34007800 http://dx.doi.org/10.14218/JCTH.2020.00127 Text en © 2021 Authors. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 International License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Shu, Yanyun Song, Yuhu Bai, Tao Pan, Xiaoli Shang, Haitao Yang, Ling Ye, Jin Du, Fan Predictive Model of Ursodeoxycholic Acid Treatment Response in Primary Biliary Cholangitis |
title | Predictive Model of Ursodeoxycholic Acid Treatment Response in Primary Biliary Cholangitis |
title_full | Predictive Model of Ursodeoxycholic Acid Treatment Response in Primary Biliary Cholangitis |
title_fullStr | Predictive Model of Ursodeoxycholic Acid Treatment Response in Primary Biliary Cholangitis |
title_full_unstemmed | Predictive Model of Ursodeoxycholic Acid Treatment Response in Primary Biliary Cholangitis |
title_short | Predictive Model of Ursodeoxycholic Acid Treatment Response in Primary Biliary Cholangitis |
title_sort | predictive model of ursodeoxycholic acid treatment response in primary biliary cholangitis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111104/ https://www.ncbi.nlm.nih.gov/pubmed/34007800 http://dx.doi.org/10.14218/JCTH.2020.00127 |
work_keys_str_mv | AT shuyanyun predictivemodelofursodeoxycholicacidtreatmentresponseinprimarybiliarycholangitis AT songyuhu predictivemodelofursodeoxycholicacidtreatmentresponseinprimarybiliarycholangitis AT baitao predictivemodelofursodeoxycholicacidtreatmentresponseinprimarybiliarycholangitis AT panxiaoli predictivemodelofursodeoxycholicacidtreatmentresponseinprimarybiliarycholangitis AT shanghaitao predictivemodelofursodeoxycholicacidtreatmentresponseinprimarybiliarycholangitis AT yangling predictivemodelofursodeoxycholicacidtreatmentresponseinprimarybiliarycholangitis AT yejin predictivemodelofursodeoxycholicacidtreatmentresponseinprimarybiliarycholangitis AT dufan predictivemodelofursodeoxycholicacidtreatmentresponseinprimarybiliarycholangitis |