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...

Descripción completa

Detalles Bibliográficos
Autores principales: Shu, Yanyun, Song, Yuhu, Bai, Tao, Pan, Xiaoli, Shang, Haitao, Yang, Ling, Ye, Jin, Du, Fan
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
Descripción
Sumario: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.