Bibliographic Details
| Title: |
A novel web-based online nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis-primary biliary cholangitis overlap syndrome |
| Authors: |
Zhiyi Zhang, Jian Wang, Yun Chen, Yiguang Li, Li Zhu, Huali Wang, Yilin Liu, Jiacheng Liu, Shengxia Yin, Xin Tong, Xiaomin Yan, Yuxin Chen, Chuanwu Zhu, Jie Li, Yuanwang Qiu, Chao Wu, Rui Huang |
| Source: |
Journal of Translational Autoimmunity, Vol 7, Iss , Pp 100215- (2023) |
| Publisher Information: |
Elsevier, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Immunologic diseases. Allergy |
| Subject Terms: |
Autoimmune hepatitis, Primary biliary cholangitis, Overlap syndrome, Liver fibrosis, Nomogram, Biopsy, Immunologic diseases. Allergy, RC581-607 |
| More Details: |
Background: Patients with autoimmune hepatitis-primary biliary cholangitis (AIH-PBC) overlap syndrome have a worse prognosis compared to AIH or PBC alone and accurately predicting the severity and dynamically monitoring the progression of disease are therefore essential. We aimed to develop a nomogram-based model to predict advanced liver fibrosis in patients with AIH-PBC overlap syndrome. Methods: A total of 121 patients with AIH-PBC overlap syndrome were retrospectively included and randomly assigned to a development set and a validation set. Backward stepwise regression's best model with the lowest AIC was employed to create a nomogram. Diagnose accuracy was evaluated using the area under the receiver operator characteristic curve (AUROC), calibration analysis, and decision curve analysis (DCA) and was compared with aspartate aminotransferase-to-platelet ratio (APRI) and fibrosis index based on four factors-4 (FIB-4) score. Results: The median age of patients was 53.0 years (IQR: 46.0–63.0), and female patients accounted for 95.0 %. Platelets, globulin, total bilirubin, and prothrombin time were associated with advanced fibrosis (≥S3) and used to construct an AIH-PBC overlap syndrome fibrosis (APOSF)-nomogram (available online at https://ndth-zzy.shinyapps.io/APOSF-nomogram/). The AUROCs of APOSF-nomogram were 0.845 (95 % CI: 0.754–0.936) and 0.843 (95 % CI: 0.705–0.982) in development set and validation set respectively, which was significantly better than APRI and FIB-4. Calibration revealed that the estimated risk fits well with biopsy-proven observation. DCA outperformed APRI and FIB4 in terms of net benefit, demonstrating clinical utility. Conclusion: This novel non-invasive web-based online APOSF-nomogram provided a convenient tool for identifying advanced fibrosis in patients with AIH-PBC overlap syndrome. Further prospective, multicenter studies with large sample size are necessary to validate the applicability of APOSF-nomogram. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2589-9090 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S258990902300028X; https://doaj.org/toc/2589-9090 |
| DOI: |
10.1016/j.jtauto.2023.100215 |
| Access URL: |
https://doaj.org/article/0529efbe94c64b52be5b68f27ecc2e3d |
| Accession Number: |
edsdoj.0529efbe94c64b52be5b68f27ecc2e3d |
| Database: |
Directory of Open Access Journals |
