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      Cirrhosis regression is associated with improved clinical outcomes in patients with nonalcoholic steatohepatitis

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          Abstract

          Background and Aims

          Surrogate endpoints that predict complications are necessary for assessment and approval of NASH therapies. We assessed associations between histologic and noninvasive tests (NITs) of fibrosis with liver‐related complications in patients with NASH cirrhosis.

          Approach and Results

          Patients with compensated cirrhosis due to NASH were enrolled in two placebo‐controlled trials of simtuzumab and selonsertib. Liver fibrosis at baseline and week 48 (W48) was staged by NASH Clinical Research Network (CRN) and Ishak classifications and a machine learning (ML) approach, hepatic collagen and alpha‐smooth muscle actin (α‐SMA) expression were quantified by morphometry, liver stiffness (LS) was measured by transient elastography, and serum NITs (enhanced liver fibrosis [ELF], NAFLD fibrosis score [NFS], and Fibrosis‐4 index [FIB‐4]) were calculated. Cox regression determined associations between these parameters at baseline and their changes over time with adjudicated liver‐related clinical events. Among 1,135 patients, 709 (62%) had Ishak stage 6 fibrosis, and median ELF and LS were 10.66 and 21.1 kPa, respectively. During a median follow‐up of 16.6 months, 71 (6.3%) had a liver‐related event; associated baseline factors included Ishak stage 6 fibrosis, and higher hepatic collagen, α‐SMA expression, ML‐based fibrosis parameters, LS, ELF, NFS, and FIB‐4. Cirrhosis regression observed in 16% (176/1,135) between BL and W48 was associated with a lower risk of events versus nonregression (1.1% [2/176] vs. 7.2% [69/957]; HR, 0.16; 95% CI, 0.04, 0.65 [ p = 0.0104]). Conversely, after adjustment for baseline values, increases in hepatic collagen, α‐SMA, ML‐based fibrosis parameters, NFS, and LS were associated with an increased risk of events.

          Conclusions

          In patients with compensated cirrhosis due to NASH, regression of fibrosis is associated with a reduction in liver‐related complications. These data support the utility of histologic fibrosis regression and NITs as clinical trial endpoints for NASH cirrhosis.

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          Most cited references18

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          Design and validation of a histological scoring system for nonalcoholic fatty liver disease.

          Nonalcoholic fatty liver disease (NAFLD) is characterized by hepatic steatosis in the absence of a history of significant alcohol use or other known liver disease. Nonalcoholic steatohepatitis (NASH) is the progressive form of NAFLD. The Pathology Committee of the NASH Clinical Research Network designed and validated a histological feature scoring system that addresses the full spectrum of lesions of NAFLD and proposed a NAFLD activity score (NAS) for use in clinical trials. The scoring system comprised 14 histological features, 4 of which were evaluated semi-quantitatively: steatosis (0-3), lobular inflammation (0-2), hepatocellular ballooning (0-2), and fibrosis (0-4). Another nine features were recorded as present or absent. An anonymized study set of 50 cases (32 from adult hepatology services, 18 from pediatric hepatology services) was assembled, coded, and circulated. For the validation study, agreement on scoring and a diagnostic categorization ("NASH," "borderline," or "not NASH") were evaluated by using weighted kappa statistics. Inter-rater agreement on adult cases was: 0.84 for fibrosis, 0.79 for steatosis, 0.56 for injury, and 0.45 for lobular inflammation. Agreement on diagnostic category was 0.61. Using multiple logistic regression, five features were independently associated with the diagnosis of NASH in adult biopsies: steatosis (P = .009), hepatocellular ballooning (P = .0001), lobular inflammation (P = .0001), fibrosis (P = .0001), and the absence of lipogranulomas (P = .001). The proposed NAS is the unweighted sum of steatosis, lobular inflammation, and hepatocellular ballooning scores. In conclusion, we present a strong scoring system and NAS for NAFLD and NASH with reasonable inter-rater reproducibility that should be useful for studies of both adults and children with any degree of NAFLD. NAS of > or =5 correlated with a diagnosis of NASH, and biopsies with scores of less than 3 were diagnosed as "not NASH."
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            Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease

            Nonalcoholic fatty liver disease (NAFLD) and resulting nonalcoholic steatohepatitis (NASH) are highly prevalent in the United States, where they are a growing cause of cirrhosis and hepatocellular carcinoma (HCC) and increasingly an indicator for liver transplantation. A Markov model was used to forecast NAFLD disease progression. Incidence of NAFLD was based on historical and projected changes in adult prevalence of obesity and type 2 diabetes mellitus (DM). Assumptions were derived from published literature where available and validated using national surveillance data for incidence of NAFLD‐related HCC. Projected changes in NAFLD‐related cirrhosis, advanced liver disease, and liver‐related mortality were quantified through 2030. Prevalent NAFLD cases are forecasted to increase 21%, from 83.1 million (2015) to 100.9 million (2030), while prevalent NASH cases will increase 63% from 16.52 million to 27.00 million cases. Overall NAFLD prevalence among the adult population (aged ≥15 years) is projected at 33.5% in 2030, and the median age of the NAFLD population will increase from 50 to 55 years during 2015‐2030. In 2015, approximately 20% of NAFLD cases were classified as NASH, increasing to 27% by 2030, a reflection of both disease progression and an aging population. Incidence of decompensated cirrhosis will increase 168% to 105,430 cases by 2030, while incidence of HCC will increase by 137% to 12,240 cases. Liver deaths will increase 178% to an estimated 78,300 deaths in 2030. During 2015‐2030, there are projected to be nearly 800,000 excess liver deaths. Conclusion: With continued high rates of adult obesity and DM along with an aging population, NAFLD‐related liver disease and mortality will increase in the United States. Strategies to slow the growth of NAFLD cases and therapeutic options are necessary to mitigate disease burden. (Hepatology 2018;67:123‐133).
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              Modeling NAFLD disease burden in China, France, Germany, Italy, Japan, Spain, United Kingdom, and United States for the period 2016–2030

              Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) are increasingly a cause of cirrhosis and hepatocellular carcinoma globally. This burden is expected to increase as epidemics of obesity, diabetes and metabolic syndrome continue to grow. The goal of this analysis was to use a Markov model to forecast NAFLD disease burden using currently available data.
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                Author and article information

                Contributors
                arun.sanyal@vcuhealth.org
                Journal
                Hepatology
                Hepatology
                10.1002/(ISSN)1527-3350
                HEP
                Hepatology (Baltimore, Md.)
                John Wiley and Sons Inc. (Hoboken )
                0270-9139
                1527-3350
                07 February 2022
                May 2022
                : 75
                : 5 ( doiID: 10.1002/hep.v75.5 )
                : 1235-1246
                Affiliations
                [ 1 ] Virginia Commonwealth University Richmond Virginia USA
                [ 2 ] Translational & Clinical Research Institute Faculty of Medical Sciences Newcastle University Newcastle upon Tyne UK
                [ 3 ] Division of Gastroenterology and Hepatology Medical University of Vienna Vienna Austria
                [ 4 ] Texas Liver Institute University of Texas Health San Antonio San Antonio Texas USA
                [ 5 ] Duke University Medical Center Durham North Carolina USA
                [ 6 ] Indiana University Medical Center Indianapolis Indiana USA
                [ 7 ] Gilead Sciences, Inc. Foster City California USA
                [ 8 ] Department of Medicine and Therapeutics The Chinese University of Hong Kong Hong Kong
                [ 9 ] Saiseikai Suita Hospital Suita City, Osaka Japan
                [ 10 ] Institute of Biomedicine of Seville Virgen del Rocio University Hospital University of Seville Sevilla Spain
                [ 11 ] Beth Israel Deaconess Medical Center and Harvard Medical School Boston Massachusetts USA
                [ 12 ] Hospital Clinic‐IDIBAPS University of Barcelona Barcelona Spain
                [ 13 ] Department of Biomedical Research Bern University Bern Switzerland
                [ 14 ] Inova Fairfax Medical Campus Falls Church Virginia USA
                [ 15 ] Pinnacle Clinical Research San Antonio Texas USA
                Author notes
                [*] [* ] Correspondence

                Arun J. Sanyal, Virginia Commonwealth University School of Medicine, Richmond, MCV Box 980341, Richmond, VA, 23298‐0341, USA.

                Email: arun.sanyal@ 123456vcuhealth.org

                Author information
                https://orcid.org/0000-0002-9518-0088
                https://orcid.org/0000-0003-2215-9410
                https://orcid.org/0000-0002-0206-1179
                https://orcid.org/0000-0001-9313-577X
                Article
                HEP32204
                10.1002/hep.32204
                9303958
                34662449
                f7a2d54d-b44c-4fae-81c2-f286cbf173e9
                © 2022 The Authors. Hepatology published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 18 August 2021
                : 30 March 2021
                : 03 October 2021
                Page count
                Figures: 3, Tables: 2, Pages: 12, Words: 8096
                Funding
                Funded by: Gilead Sciences , doi 10.13039/100005564;
                Award ID: N/A
                Categories
                Original Article
                Original Articles
                Steatohepatitis
                Custom metadata
                2.0
                May 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:21.07.2022

                Gastroenterology & Hepatology
                Gastroenterology & Hepatology

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