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ORIGINAL RESEARCH article
Front. Gastroenterol.
Sec. Hepatology
Volume 4 - 2025 | doi: 10.3389/fgstr.2025.1534145
This article is part of the Research Topic The Multifaceted Role of Cholangiocytes in Neoplastic and Non-Neoplastic Cholangiopathies: From Bench to Bedside View all articles
Risk Factors for Mortality in Patients with Primary Biliary Cholangitis: A Nomogram to Predict 5-Year Survival
Provisionally accepted
Muyu Gao 1
Yaxing Liu 2 Bin Li 2
Long Liu 2 Yao Liu 2 Ying Feng 2 Xiaojing Wang 2
Xianbo Wang 2 Guiqin Zhou 2*- 1 Beijing University of Chinese Medicine, Beijing, China
- 2 Beijing Ditan Hospital, Capital Medical University, Beijing, Beijing Municipality, China
The issue of transplant-free survival rate (OS) among patients with primary biliary cholangitis (PBC) remains a persistent concern. In predicting the long-term OS of PBC patients, given the complexity and population specificity of models such as the GLOBE and UK-PBC, our objective is to calculate and assess the risk factors for mortality and 5-year OS among PBC patients based on routine clinical data,ultimately facilitating its clinical application.This study enrolled 315 patients with PBC from Beijing Ditan Hospital and randomly divided them into a training cohort (n = 189) and a validation cohort (n = 126). Through Cox regression analyses, we identified risk predictors of mortality to develop a 5-year survival nomogram for PBC. The model was evaluated with Receiver Operating Characteristic (ROC) curves, calibration curves, Decision Curve Analysis (DCA).Kaplan-Meier (KM) curves compared OS across risk groups. Additionally, correlations among the indicators were analyzed. Results Ultimately, we established a nomogram incorporating Age, NLR, and TBIL. The Area Under the ROC Curve(AUC-ROC) values for the training and validation groups were 0.7251 and 0.7721, respectively, indicating solid consistency and outperforming the GLOBE model. Calibration and DCA curves further underscored the clinical utility of our model.KM curves revealed the model could differentiate OS across risk levels in subgroup.Additionally, a significant correlation between NLR and TBIL (P=0.0021) was observed, potentially impacting patient prognosis. Conclusion We have constructed a well-performing prognostic model based on Age, NLR, and TBIL. This model shows good discrimination, consistency, and clinical use.It helps identifying high-risk patients, enabling more frequent follow-ups and tailored interventions, potentially enhancing prognosis and clinical outcomes.
Keywords: Primary biliary cholangitis, age, Bilirubin, Neutrophil to lymphocyte ratio, Risks factor
Received: 25 Nov 2024; Accepted: 20 Feb 2025.
Copyright: © 2025 Gao, Liu, Li, Liu, Liu, Feng, Wang, Wang and Zhou. 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) or licensor 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.
* Correspondence:
Guiqin Zhou, Beijing Ditan Hospital, Capital Medical University, Beijing, Beijing Municipality, China
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