ArticleJournal of clinical and translational hepatology2021
Predictive Model of Ursodeoxycholic Acid Treatment Response in Primary Biliary Cholangitis.
Article in Journal of clinical and translational hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Qualitative Evaluation of Fatigue and Pruritus Among Patients with Primary Biliary Cholangitis.Advances in therapy · 2026Article
- Development and evaluation of explainable machine learning models for predicting prognosis in patients with primary biliary cholangitis.Frontiers in molecular biosciences · 2026Article
- The gut microbiome predicts response to UDCA/CDCA treatment in gallstone patients: comparison of responders and non-responders.Scientific reports · 2024Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsAlthough 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.
methodsA 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.
resultsTotal 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%).
conclusionsWe 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.
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