MRI-based (MAST) score accurately identifies patients with NASH and significant fibrosis

2021 ◽  
Author(s):  
Mazen Noureddin ◽  
Emily Truong ◽  
Jeffrey A. Gornbein ◽  
Rola Saouaf ◽  
Maha Guindi ◽  
...  
Keyword(s):  
Significant Fibrosis

scholarly journals Erratum to: “Significant fibrosis predicts new-onset diabetes mellitus and arterial hypertension in patients with NASH (J Hepatol 2020; 73: 17–25)

2020 ◽  
Vol 73 (3) ◽  
pp. 740-741
Author(s):  
Javier Ampuero ◽  
Rocío Aller ◽  
Rocío Gallego-Durán ◽  
Javier Crespo ◽  
José Luis Calleja ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Arterial Hypertension ◽  
Significant Fibrosis ◽  
Onset Diabetes ◽  
New Onset Diabetes Mellitus ◽  
New Onset

scholarly journals Myocardial work: a new way to predict fibrosis in patients with hypertrophic cardiomyopathy

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Valentim Goncalves ◽  
S Aguiar Rosa ◽  
L Moura Branco ◽  
A Galrinho ◽  
A Fiarresga ◽  
...  
Keyword(s):  
Hypertrophic Cardiomyopathy ◽  
Global Longitudinal Strain ◽  
Left Ventricular Pressure ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Prognostic Information ◽  
Ventricular Ejection Fraction ◽  
Significant Fibrosis ◽  
Constructive Work ◽  
Global Work

Abstract Aims Late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR) adds prognostic information in patients with hypertrophic cardiomyopathy (HCM). Whether Myocardial work (MW), a new parameter on transthoracic echocardiographic (TTE), can predict significant fibrosis in HCM patients is unknown. Methods Single-centre evaluation of consecutively recruited HCM patients in which TTE and CMR were performed. MW and related indices were calculated from global longitudinal strain (GLS) and from estimated left ventricular pressure curves. The extent of LGE was quantitatively assessed. LGE ≥15% was chosen to define significant fibrosis. Logistic regression analysis was used to find the variables associated with LGE ≥15% and cut-off values were determined. Results Among the thirty-two patients analysed mean age was 57±16 years, 18 (56%) were male patients and the mean left ventricular ejection fraction by TTE was 67±8%. Global constructive work (GCW), global work index and GLS were significant predictors of LGE ≥15%. A cut-off ≤1550 mmHg% of GCW was able to predict significant fibrosis with a sensitivity of 92% and a specificity of 79%, while the best cut-off for GLS (>−15%) had a sensitivity of 86% and a specificity of 72%. Conclusion GCW was the best parameter to predict significant left ventricular myocardial fibrosis in CMR, suggesting its utility in patients who may not be able to have a CMR study. Myocardial Work and LGE in CMR in HCM Funding Acknowledgement Type of funding source: None

Prediction of significant fibrosis in HBeAg-positive patients with chronic hepatitis B by a noninvasive model

Hepatology ◽  
2005 ◽  
Vol 42 (6) ◽  
pp. 1437-1445 ◽  
Author(s):  
Min-De Zeng ◽  
Lun-Gen Lu ◽  
Yi-Min Mao ◽  
De-Kai Qiu ◽  
Ji-Qiang Li ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Significant Fibrosis

scholarly journals Serum Golgi protein 73 is a marker comparable to APRI for diagnosing significant fibrosis in children with liver disease

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Langli Liu ◽  
Jianwen Wang ◽  
Jiayan Feng ◽  
Mingjie Yao ◽  
Chenzhi Hao ◽  
...  
Keyword(s):  
Liver Disease ◽  
Significant Fibrosis ◽  
Golgi Protein

scholarly journals Diagnostic Performance of TE, 2D-SWE And MRE For Liver Fibrosis In Treatment-Naive People With HBV: A Systematic Review And Meta-Analysis

2021 ◽  
Author(s):  
Mingkai Li ◽  
Sizhe Wan ◽  
Xiaoying Wu ◽  
Bin Wu
Keyword(s):  
Diagnostic Accuracy ◽  
Linear Models ◽  
Transient Elastography ◽  
Meta Analysis ◽  
Previous Treatment ◽  
Shear Wave Elastography ◽  
Threshold Effect ◽  
Cochrane Library ◽  
Significant Fibrosis ◽  
Treatment Naïve

Abstract Background/aims: To assess the performance of transient elastography (TE), two-dimensional shear wave elastography (2D-SWE), and magnetic resonance elastography (MRE) for staging significant fibrosis and cirrhosis in untreated chronic hepatitis B (CHB) patients. Methods: Pubmed, Embase, Web of Science and Cochrane Library were searched for terms involving CHB, TE, SWE, and MRE. Other etiologies of chronic liver disease (CLD), previous treatment in patients or articles not published in SCI journals were excluded. Hierarchical non-linear models were used to evaluate the diagnostic accuracy of TE, 2D-SWE and MRE. Heterogeneity was explored via analysis of threshold effect and meta-regression. Results: Twenty-eight articles with a total of 4540 untreated CHB patients were included. The summary AUROC using TE, 2D-SWE and MRE for predicting significant fibrosis (SF) were 0.84, 0.89, and 0.99, respectively. MRE is more accurate than both TE (P＜0.01) and 2D-SWE (P＜0.01) in staging SF. 2D-SWE is superior to TE in detecting SF (P＜0.01). The summary AUROC employing TE, 2D-SWE and MRE for detecting cirrhosis were 0.9, 0.94, and 0.99, respectively. TE displayed a similar diagnostic accuracy with 2D-SWE in staging cirrhosis (P=0.14). MRE and 2D-SWE are comparable for staging cirrhosis (P=0.08). MRE is superior than TE (P＜0.01) in staging cirrhosis.Conclusion: TE, 2D-SWE, and MRE express acceptable diagnostic accuracies in staging staging significant fibrosis and cirrhosis in untreated CHB patients. Both MRE and 2D-SWE are better choices while the TE can be regarded as a secondary option.

scholarly journals Serum hepatitis B core antibody titer use in screening for significant fibrosis in treatment-naïve patients with chronic hepatitis B

Oncotarget ◽  
2016 ◽  
Vol 8 (7) ◽  
pp. 11063-11070 ◽  
Author(s):  
Min-ran Li ◽  
Huan-wei Zheng ◽  
Jian-hua Lu ◽  
Shun-mao Ma ◽  
Li-hong Ye ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Antibody Titer ◽  
Serum Hepatitis ◽  
Significant Fibrosis ◽  
Treatment Naïve

Serum Biomarkers Predictive of Significant Fibrosis and Cirrhosis in Chronic Hepatitis B

2015 ◽  
Vol 49 (8) ◽  
pp. 705-713 ◽  
Author(s):  
Chih-Lin Lin ◽  
Chen-Hua Liu ◽  
Chia-Chi Wang ◽  
Cheng-Chao Liang ◽  
Tung-Hung Su ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Serum Biomarkers ◽  
Significant Fibrosis

Non-invasive Stratification of Non-Alcoholic Fatty Liver Disease by Whole-transcriptome Cell-free mRNA Characterization

2021 ◽  
Author(s):  
Naga Chalasani ◽  
Shusuke Toden ◽  
John J Sninsky ◽  
Richard P Rava ◽  
Jerome V Braun ◽  
...  
Keyword(s):  
Liver Disease ◽  
Fatty Liver ◽  
Fatty Liver Disease ◽  
Healthy Subjects ◽  
Rna Seq ◽  
Alcoholic Fatty Liver ◽  
Significant Fibrosis ◽  
Non Invasive ◽  
Clinically Significant ◽  
Alcoholic Fatty Liver Disease

Hepatic fibrosis stage is the most important determinant of outcomes in patients with non-alcoholic fatty liver disease (NAFLD). There is an urgent need for non-invasive tests that can accurately stage fibrosis and determine efficacy of interventions. Here we describe a novel cf-mRNA-Sequencing approach that can accurately and reproducibly profile low levels of circulating mRNAs and evaluate the feasibility of developing a cf-mRNA-based NAFLD fibrosis classifier. Using separate discovery and validation cohorts with biopsy-confirmed NAFLD (n=176 and 59, respectively) and healthy subjects (n=23), we performed serum cf-mRNA RNA-Seq profiling. Differential expression analysis identified 2498 dysregulated genes between NAFLD and healthy subjects and 134 fibrosis-associated genes in NAFLD patients. Comparison between cf-mRNA and liver tissues transcripts revealed significant overlap of fibrosis associated genes and pathways indicating that the circulating cf-mRNA transcriptome reflects molecular changes in the livers of NAFLD patients. In particular, metabolic and immune pathways reflective of known underlying steatosis and inflammation were highly dysregulated in the cf-mRNA profile of patients with advanced fibrosis. Finally, we used an elastic net ordinal logistic model to develop a classifier that predicts clinically significant fibrosis (F2-4). In an independent cohort, the cf-mRNA classifier was able to identify 50% of patients with at least 90% probability of clinically significant fibrosis. We demonstrate a novel and robust cf-mRNA-based RNA-Seq platform for non-invasive identification of diverse hepatic molecular disruptions and for fibrosis staging with promising potential for clinical trials and clinical practice.

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