Academic Journal
A novel web-based online nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis-primary biliary cholangitis overlap syndrome
Title: | A novel web-based online nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis-primary biliary cholangitis overlap syndrome |
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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 |
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Items | – Name: Title Label: Title Group: Ti Data: A novel web-based online nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis-primary biliary cholangitis overlap syndrome – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhiyi+Zhang%22">Zhiyi Zhang</searchLink><br /><searchLink fieldCode="AR" term="%22Jian+Wang%22">Jian Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Yun+Chen%22">Yun Chen</searchLink><br /><searchLink fieldCode="AR" term="%22Yiguang+Li%22">Yiguang Li</searchLink><br /><searchLink fieldCode="AR" term="%22Li+Zhu%22">Li Zhu</searchLink><br /><searchLink fieldCode="AR" term="%22Huali+Wang%22">Huali Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Yilin+Liu%22">Yilin Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Jiacheng+Liu%22">Jiacheng Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Shengxia+Yin%22">Shengxia Yin</searchLink><br /><searchLink fieldCode="AR" term="%22Xin+Tong%22">Xin Tong</searchLink><br /><searchLink fieldCode="AR" term="%22Xiaomin+Yan%22">Xiaomin Yan</searchLink><br /><searchLink fieldCode="AR" term="%22Yuxin+Chen%22">Yuxin Chen</searchLink><br /><searchLink fieldCode="AR" term="%22Chuanwu+Zhu%22">Chuanwu Zhu</searchLink><br /><searchLink fieldCode="AR" term="%22Jie+Li%22">Jie Li</searchLink><br /><searchLink fieldCode="AR" term="%22Yuanwang+Qiu%22">Yuanwang Qiu</searchLink><br /><searchLink fieldCode="AR" term="%22Chao+Wu%22">Chao Wu</searchLink><br /><searchLink fieldCode="AR" term="%22Rui+Huang%22">Rui Huang</searchLink> – Name: TitleSource Label: Source Group: Src Data: Journal of Translational Autoimmunity, Vol 7, Iss , Pp 100215- (2023) – Name: Publisher Label: Publisher Information Group: PubInfo Data: Elsevier, 2023. – Name: DatePubCY Label: Publication Year Group: Date Data: 2023 – Name: Subset Label: Collection Group: HoldingsInfo Data: LCC:Immunologic diseases. Allergy – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Autoimmune+hepatitis%22">Autoimmune hepatitis</searchLink><br /><searchLink fieldCode="DE" term="%22Primary+biliary+cholangitis%22">Primary biliary cholangitis</searchLink><br /><searchLink fieldCode="DE" term="%22Overlap+syndrome%22">Overlap syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Liver+fibrosis%22">Liver fibrosis</searchLink><br /><searchLink fieldCode="DE" term="%22Nomogram%22">Nomogram</searchLink><br /><searchLink fieldCode="DE" term="%22Biopsy%22">Biopsy</searchLink><br /><searchLink fieldCode="DE" term="%22Immunologic+diseases%2E+Allergy%22">Immunologic diseases. Allergy</searchLink><br /><searchLink fieldCode="DE" term="%22RC581-607%22">RC581-607</searchLink> – Name: Abstract Label: Description Group: Ab Data: 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. 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RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jtauto.2023.100215 Languages: – Text: English Subjects: – SubjectFull: Autoimmune hepatitis Type: general – SubjectFull: Primary biliary cholangitis Type: general – SubjectFull: Overlap syndrome Type: general – SubjectFull: Liver fibrosis Type: general – SubjectFull: Nomogram Type: general – SubjectFull: Biopsy Type: general – SubjectFull: Immunologic diseases. Allergy Type: general – SubjectFull: RC581-607 Type: general Titles: – TitleFull: A novel web-based online nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis-primary biliary cholangitis overlap syndrome Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhiyi Zhang – PersonEntity: Name: NameFull: Jian Wang – PersonEntity: Name: NameFull: Yun Chen – PersonEntity: Name: NameFull: Yiguang Li – PersonEntity: Name: NameFull: Li Zhu – PersonEntity: Name: NameFull: Huali Wang – PersonEntity: Name: NameFull: Yilin Liu – PersonEntity: Name: NameFull: Jiacheng Liu – PersonEntity: Name: NameFull: Shengxia Yin – PersonEntity: Name: NameFull: Xin Tong – PersonEntity: Name: NameFull: Xiaomin Yan – PersonEntity: Name: NameFull: Yuxin Chen – PersonEntity: Name: NameFull: Chuanwu Zhu – PersonEntity: Name: NameFull: Jie Li – PersonEntity: Name: NameFull: Yuanwang Qiu – PersonEntity: Name: NameFull: Chao Wu – PersonEntity: Name: NameFull: Rui Huang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 25899090 Numbering: – Type: volume Value: 7 – Type: issue Value: 100215- Titles: – TitleFull: Journal of Translational Autoimmunity Type: main |
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