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Li Y, Zhang MJ, Wang XH, Li SH. Novel noninvasive indices for the assessment of liver fibrosis in primary biliary cholangitis. Biomed Rep 2024; 20:1. [PMID: 38222865 PMCID: PMC10784874 DOI: 10.3892/br.2023.1689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/18/2023] [Indexed: 01/16/2024] Open
Abstract
The present study aimed to investigate the accuracy of new noninvasive markers in predicting liver fibrosis among individuals with primary biliary cholangitis (PBC). This retrospective analysis included subjects with PBC who had liver biopsies. Scheuer's classification was used to determine the fibrosis stage. The bilirubin to albumin (Alb) ratio (BAR), fibrosis index based on the four factors (FIB-4), γ-glutamyl transpeptidase to platelet (PLT) ratio (GPR), red cell distribution width to PLT ratio (RPR), aspartate aminotransferase (AST) to alanine aminotransferase ratio (AAR), AST to PLT ratio index (APRI) and total bilirubin to PLT ratio (TPR) were calculated based on the laboratory parameters. A novel index called BARP was conceived as BAR x RPR. A total of 78 individuals with PBC were included in the study, 84.6% of whom had significant fibrosis, 30.8% had advanced fibrosis and 15.4% had cirrhosis. In the multivariate analysis, Alb was determined to be an independent predictor of advanced fibrosis (odds ratio=0.823, P=0.034). The area under the receiver operating characteristic curves (AUROCs) of the BAR, GPR, TPR and BARP were statistically significant in predicting severe fibrosis (P<0.05) and were 0.747, 0.684, 0.693 and 0.696, respectively. In assessing advanced fibrosis, the AUROCs for the AAR, APRI, BAR, FIB-4, RPR, TPR and BARP were 0.726, 0.650, 0.742, 0.716, 0.670, 0.735 and 0.750, respectively. The AUROCs for the APRI, BAR, FIB-4, RPR, TPR and BARP for cirrhosis prediction were 0.776, 0.753, 0.821, 0.819, 0.808 and 0.832, respectively. By comparing the AUROCs, it was demonstrated that the diagnostic capabilities of the BARP (P=0.021) and TPR (P=0.044) were superior to those of the APRI in predicting advanced fibrosis. In conclusion, the BAR, BARP and TPR were of predictive value for the grade of liver fibrosis in PBC and Alb had a diagnostic value in identifying early fibrosis. The aforementioned noninvasive indices may be used for predicting histologic stages of PBC.
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Affiliation(s)
- Yan Li
- Department of Gastroenterology, The Affiliated Hospital of Qinghai University, Xining, Qinghai 810001, P.R. China
| | - Meng-Jun Zhang
- Department of Gastroenterology, The Affiliated Hospital of Qinghai University, Xining, Qinghai 810001, P.R. China
| | - Xue-Hong Wang
- Department of Gastroenterology, The Affiliated Hospital of Qinghai University, Xining, Qinghai 810001, P.R. China
| | - Su-Hua Li
- Department of Gastroenterology, The Affiliated Hospital of Qinghai University, Xining, Qinghai 810001, P.R. China
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Chen H, Shen Y, Wu SD, Zhu Q, Weng CZ, Zhang J, Wang MX, Jiang W. Diagnostic role of transient elastography in patients with autoimmune liver diseases: A systematic review and meta-analysis. World J Gastroenterol 2023; 29:5503-5525. [PMID: 37900994 PMCID: PMC10600811 DOI: 10.3748/wjg.v29.i39.5503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 09/09/2023] [Accepted: 10/11/2023] [Indexed: 10/19/2023] Open
Abstract
BACKGROUND Noninvasive methods have been developed to detect fibrosis in many liver diseases due to the limits of liver biopsy. However, previous studies have focused primarily on chronic viral hepatitis and nonalcoholic fatty liver disease. The diagnostic value of transient elastography for autoimmune liver diseases (AILDs) is worth studying. AIM To compare the diagnostic accuracy of imaging techniques with serum biomarkers of fibrosis in AILD. METHODS The PubMed, Cochrane Library and EMBASE databases were searched. Studies evaluating the efficacy of noninvasive methods in the diagnosis of AILDs [autoimmune hepatitis (AIH), primary biliary cholangitis (PBC) and primary sclerosing cholangitis (PSC)] were included. The summary area under the receiver operating characteristic curve (AUROC), diagnostic odds ratio, sensitivity and specificity were used to assess the accuracy of these noninvasive methods for staging fibrosis. RESULTS A total of 60 articles were included in this study, and the number of patients with AIH, PBC and PSC was 1594, 3126 and 501, respectively. The summary AUROC of transient elastography in the diagnosis of significant fibrosis, advanced fibrosis and cirrhosis in patients with AIH were 0.84, 0.88 and 0.90, respectively, while those in patients with PBC were 0.93, 0.93 and 0.91, respectively. The AUROC of cirrhosis for patients with PSC was 0.95. However, other noninvasive indices (aspartate aminotransferase to platelet ratio index, aspartate aminotransferase/alanine aminotransferase ratio, fibrosis-4 index) had corresponding AUROCs less than 0.80. CONCLUSION Transient elastography exerts better diagnostic accuracy in AILD patients, especially in PBC patients. The appropriate cutoff values for staging advanced fibrosis and cirrhosis ranged from 9.6 to 10.7 and 14.4 to 16.9 KPa for PBC patients.
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Affiliation(s)
- Hong Chen
- Department of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai 200032, China
- Shanghai Institute of Liver Diseases, Fudan University Shanghai Medical College, Shanghai 200032, China
| | - Yue Shen
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai 200032, China
- Shanghai Institute of Liver Diseases, Fudan University Shanghai Medical College, Shanghai 200032, China
| | - Sheng-Di Wu
- Department of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai 200032, China
- Shanghai Institute of Liver Diseases, Fudan University Shanghai Medical College, Shanghai 200032, China
| | - Qin Zhu
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai 200032, China
- Shanghai Institute of Liver Diseases, Fudan University Shanghai Medical College, Shanghai 200032, China
| | - Cheng-Zhao Weng
- Department of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China
| | - Jun Zhang
- Department of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China
| | - Mei-Xia Wang
- Department of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China
| | - Wei Jiang
- Department of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai 200032, China
- Shanghai Institute of Liver Diseases, Fudan University Shanghai Medical College, Shanghai 200032, China
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Tu Z, Wang Y, Wang Y, Huang J, Han Y, Ji Q, Cao X, Wen X, Wang Y, Jin Q. TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis. Front Immunol 2023; 14:1152294. [PMID: 37006277 PMCID: PMC10060872 DOI: 10.3389/fimmu.2023.1152294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/06/2023] [Indexed: 03/18/2023] Open
Abstract
IntroductionThe aim of this study was to develop a noninvasive prediction model for histological stages in PBC that is simple, easy to implement, and highly accurate.MethodsA total of 114 patients with PBC were included in this study. Demographic, laboratory data and histological assessments were collected. The independent predictors of histological stages were selected to establish a noninvasive serological model. The scores of 22 noninvasive models were calculated and compared with the established model.ResultsThis study included 99 females (86.8%) and 15 males (13.2%). The number of patients in Scheuer’s stage 1, 2, 3 and 4 was 33 (29.0%), 34 (29.8%), 16 (14.0%), and 31 (27.2%), respectively. TBA and RDW are independent predictors of PBC histological stages. The above indexes were used to establish a noninvasive model-TR score. When predicting early histological change (S1) or liver fibrosis and cirrhosis (S3-S4), the AUROC of TR score were 0.887 (95% CI, 0.809-0.965) and 0.893 (95% CI, 0.816-0.969), higher than all of the other 22 models included in this study. When predicting cirrhosis (S4), its AUROC is still as high as 0.921 (95% CI, 0.837-1.000).ConclusionTR score is an easy, cheap and stable noninvasive model, without complex calculation formulas and tools, and shows good accuracy in diagnosing the histological stages of PBC.
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Affiliation(s)
- Zhixin Tu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Yao Wang
- Department of Gastroenterology, Qingdao Municipal Hospital, Qingdao, China
| | - Yan Wang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Jianjie Huang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Yujin Han
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Qijia Ji
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Xiaoxuan Cao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Xiaoyu Wen
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Yang Wang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Qinglong Jin
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
- *Correspondence: Qinglong Jin,
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