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Younossi ZM, Paik JM, Henry L, Stepanova M, Nader F. Pharmaco-Economic Assessment of Screening Strategies for High-Risk MASLD in Primary Care. Liver Int 2024. [PMID: 39373093 DOI: 10.1111/liv.16119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 09/17/2024] [Accepted: 09/22/2024] [Indexed: 10/08/2024]
Abstract
BACKGROUND AND AIMS Several scientific associations recommend a sequential combination of non-invasive tests (NITs) to identify high-risk MASLD patients but their cost-effectiveness is unknown. METHODS A cost-utility model was developed to assess the incremental cost-effectiveness ratio (ICER) of recommended screening strategies for patients with clinically suspected MASLD, specifically those with type 2 diabetes (T2D) and obesity with multiple cardiometabolic risk factors which will be initiated in primary care. Six screening strategies were assessed, using either vibration-controlled transient elastography (VCTE) or the enhanced liver fibrosis (ELF) test as a second-line test following an initial Fibrosis-4 (FIB-4) assessment as the first line NIT. The model included treatment effects of resmetirom for metabolic dysfunction-associated steatohepatitis (MASH) patients with F2 or F3 fibrosis. RESULTS All screening strategies for high-risk MASLD in US incurred additional costs compared to no screening, ranging from $13 587 to $14 730 per patient with T2D and $14 274 to $15 661 per patient with obesity. However, screening reduced long-term costs, ranging from $22 150 to $22 279 per patient with T2D and $13 704 to $13 705 per patient with obesity, compared to $24 221 and $14 956 for no screening, respectively. ICERs ranged from $26 913 to $27 884 per QALY for T2D patients and $23 265 to $24 992 per QALY for patients with obesity. While ICERs were influenced by VCTE availability, they remained cost-effective when using ELF as the second-line test. Our findings remain robust across a range of key parameters. CONCLUSIONS Screening for high-risk MASLD is cost-effective according to recent guidelines. Implementing these screening strategies in primary care should be considered.
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Affiliation(s)
- Zobair M Younossi
- The Global NASH Council, Washington, DC, USA
- Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA
- Center for Outcomes Research in Liver Diseases, Washington, DC, USA
| | - James M Paik
- The Global NASH Council, Washington, DC, USA
- Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA
| | - Linda Henry
- The Global NASH Council, Washington, DC, USA
- Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA
- Center for Outcomes Research in Liver Diseases, Washington, DC, USA
| | - Maria Stepanova
- The Global NASH Council, Washington, DC, USA
- Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA
- Center for Outcomes Research in Liver Diseases, Washington, DC, USA
| | - Fatema Nader
- The Global NASH Council, Washington, DC, USA
- Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA
- Center for Outcomes Research in Liver Diseases, Washington, DC, USA
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2
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Hegmar H, Wiggers T, Nasr P, Vessby J, Kechagias S, Nyhlin N, Marschall HU, Borssén ÅD, Strandberg R, Karsdal M, Leeming DJ, Ekstedt M, Hagström H. Performance of novel collagen turnover biomarkers to detect increased liver stiffness in MASLD. J Intern Med 2024; 296:177-186. [PMID: 38959258 DOI: 10.1111/joim.13813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
BACKGROUND Cleavage products from collagen formation and degradation hold potential as first-line biomarkers for the risk of advanced fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Here, we evaluated the performance of PRO-C3, PRO-C6, C4M, PRO-C18L, and the clinical score ADAPT (age, diabetes, PRO-C3, and platelet count) to detect patients with an LSM >8 kPa or >12 kPa in comparison to the Fibrosis-4 Index (FIB-4). METHODS Serum from patients with MASLD (n = 269) from six Swedish University Hospitals was analyzed using enzyme-linked immunosorbent assay-based methods. Liver stiffness measurement (LSM) by vibration-controlled transient elastography was performed. The area under the curve (AUC), calibration curves, and net benefit analysis were used. RESULTS An LSM >8 kPa was found in 108 (40.1%) patients. PRO-C3, PRO-C6, C4M, and PRO-C18L had AUCs ranging from 0.48 to 0.62. ADAPT had the highest AUC (0.73, 95% confidence interval [CI] = 0.67-0.79) to detect patients >8 kPa, compared to FIB-4 (0.71, (95%CI = 0.64-0.77, p = 0.35), and had a higher net benefit compared to FIB-4 from a probability threshold of 15%. FIB-4 and ADAPT performed equally well to detect patients with an LSM >12 kPa, AUC 0.76 versus 0.76, p = 0.93. CONCLUSIONS ADAPT seems to be marginally better than FIB-4 in identifying patients with an LSM >8 kPa. However, the clinical utility of ADAPT as a first line test is uncertain, especially in low-risk populations. The overall performance of FIB-4 was similar to that of ADAPT in detecting patients with an LSM of >12 kPa. Altogether, the results suggest that ADAPT might be useful to detect earlier stages of fibrosis in MASLD, but that FIB-4 remains a first-line test for advanced fibrosis.
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Affiliation(s)
- Hannes Hegmar
- Division of Hepatology, Department of Upper GI, Karolinska University Hospital, Stockholm, Sweden
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | | | - Patrik Nasr
- Department of Gastroenterology and Hepatology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Johan Vessby
- Department of Medical Sciences, Gastroenterology Research Group, Uppsala University, Uppsala, Sweden
| | - Stergios Kechagias
- Department of Gastroenterology and Hepatology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Nils Nyhlin
- Department of Gastroenterology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | | | | | - Rickard Strandberg
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Mattias Ekstedt
- Department of Gastroenterology and Hepatology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Hannes Hagström
- Division of Hepatology, Department of Upper GI, Karolinska University Hospital, Stockholm, Sweden
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
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3
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Xiao TG, Witek L, Bundy RA, Moses A, Obermiller CS, Schreiner AD, Dharod A, Russo MW, Rudnick SR. Identifying and Linking Patients At Risk for MASLD with Advanced Fibrosis to Care in Primary Care. J Gen Intern Med 2024:10.1007/s11606-024-08955-9. [PMID: 39060786 DOI: 10.1007/s11606-024-08955-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND AND AIMS Severity of fibrosis is the driver of liver-related outcomes in metabolic dysfunction-associated steatotic liver disease (MASLD), and non-invasive testing such as fibrosis-4 (FIB-4) score is utilized for risk stratification. We aimed to determine if primary care patients at risk for MASLD and advanced fibrosis were evaluated with subsequent testing. A secondary aim was to determine if at-risk patients with normal aminotransferases had advanced fibrosis. METHODS Primary care patients at increased risk for MASLD with advanced fibrosis (n = 91,914) were identified using previously established criteria. Patients with known alternative/concomitant etiology of liver disease or cirrhosis were excluded. The study cohort included patients with calculated FIB-4 score in 2020 (n = 52,006), and stratified into low, indeterminate, and high likelihood of advanced fibrosis. Among those at indeterminate/high risk, rates of subsequent testing were measured. RESULTS Risk stratification with FIB-4 characterized 77% (n = 40,026) as low risk, 17% (n = 8847) as indeterminate, and 6% (n = 3133) as high risk. Among indeterminate/high-risk patients (n = 11,980), 78.7% (n = 9433) had aminotransferases within normal limits, 0.95% (n = 114) had elastography, and 8.2% (n = 984) were referred for subspecialty evaluation. CONCLUSION In this cohort of primary care patients at risk for MASLD with fibrosis, the FIB-4 score identified a substantial proportion of indeterminate/high-risk patients, the majority of which had normal aminotransferase levels. Low rates of subsequent testing were observed. These data suggest that a majority of patients at increased risk for liver-related outcomes remain unrecognized and highlight opportunities to facilitate their identification.
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Affiliation(s)
- Ted G Xiao
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lauren Witek
- Informatics and Analytics, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Richa A Bundy
- Informatics and Analytics, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Adam Moses
- Informatics and Analytics, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Corey S Obermiller
- Informatics and Analytics, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Andrew D Schreiner
- Department of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Ajay Dharod
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Informatics and Analytics, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Implementation Science, Division of Public Health Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Wake Forest Center for Healthcare Innovation, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Wake Forest Center for Biomedical Informatics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Mark W Russo
- Division of Liver Diseases and Transplant, Atrium Health Carolina Medical Center, Charlotte, NC, USA
| | - Sean R Rudnick
- Section of Gastroenterology and Hepatology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
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van Kleef LA, Francque SM, Prieto-Ortiz JE, Sonneveld MJ, Sanchez-Luque CB, Prieto-Ortiz RG, Kwanten WJ, Vonghia L, Verrijken A, De Block C, Gadi Z, Janssen HLA, de Knegt RJ, Brouwer WP. Metabolic Dysfunction-Associated Fibrosis 5 (MAF-5) Score Predicts Liver Fibrosis Risk and Outcome in the General Population With Metabolic Dysfunction. Gastroenterology 2024; 167:357-367.e9. [PMID: 38513745 DOI: 10.1053/j.gastro.2024.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 03/10/2024] [Accepted: 03/13/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND & AIMS There is an unmet need for noninvasive tests to improve case-finding and aid primary care professionals in referring patients at high risk of liver disease. METHODS A metabolic dysfunction-associated fibrosis (MAF-5) score was developed and externally validated in a total of 21,797 individuals with metabolic dysfunction in population-based (National Health and Nutrition Examination Survey 2017-2020, National Health and Nutrition Examination Survey III, and Rotterdam Study) and hospital-based (from Antwerp and Bogota) cohorts. Fibrosis was defined as liver stiffness ≥8.0 kPa. Diagnostic accuracy was compared with FIB-4, nonalcoholic fatty liver disease fibrosis score (NFS), LiverRisk score and steatosis-associated fibrosis estimator (SAFE). MAF-5 was externally validated with liver stiffness measurement ≥8.0 kPa, with shear-wave elastography ≥7.5 kPa, and biopsy-proven steatotic liver disease according to Metavir and Nonalcoholic Steatohepatitis Clinical Research Network scores, and was tested for prognostic performance (all-cause mortality). RESULTS The MAF-5 score comprised waist circumference, body mass index (calculated as kg / m2), diabetes, aspartate aminotransferase, and platelets. With this score, 60.9% was predicted at low, 14.1% at intermediate, and 24.9% at high risk of fibrosis. The observed prevalence was 3.3%, 7.9%, and 28.1%, respectively. The area under the receiver operator curve of MAF-5 (0.81) was significantly higher than FIB-4 (0.61), and outperformed the FIB-4 among young people (negative predictive value [NPV], 99%; area under the curve [AUC], 0.86 vs NPV, 94%; AUC, 0.51) and older adults (NPV, 94%; AUC, 0.75 vs NPV, 88%; AUC, 0.55). MAF-5 showed excellent performance to detect liver stiffness measurement ≥12 kPa (AUC, 0.86 training; AUC, 0.85 validation) and good performance in detecting liver stiffness and biopsy-proven liver fibrosis among the external validation cohorts. MAF-5 score >1 was associated with increased risk of all-cause mortality in (un)adjusted models (adjusted hazard ratio, 1.59; 95% CI, 1.47-1.73). CONCLUSIONS The MAF-5 score is a validated, age-independent, inexpensive referral tool to identify individuals at high risk of liver fibrosis and all-cause mortality in primary care populations, using simple variables.
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Affiliation(s)
- Laurens A van Kleef
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | - Sven M Francque
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium
| | | | - Milan J Sonneveld
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | | | | | - Wilhelmus J Kwanten
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium
| | - Luisa Vonghia
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium
| | - An Verrijken
- Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium; Department of Endocrinology, Diabetology and Metabolism, Antwerp University Hospital, Antwerp, Belgium
| | - Christophe De Block
- Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium; Department of Endocrinology, Diabetology and Metabolism, Antwerp University Hospital, Antwerp, Belgium
| | - Zouhir Gadi
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium
| | - Harry L A Janssen
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands; Toronto Centre for Liver Disease, Toronto General Hospital, University Health Network, Canada
| | - Robert J de Knegt
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | - Willem Pieter Brouwer
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands.
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5
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Lee HW, Kim KH, Ahn SH, Lee HC, Choi J. The associations between fibrosis changes and liver-related events in patients with metabolic dysfunction-associated steatotic liver disease. Liver Int 2024; 44:1448-1455. [PMID: 38488679 DOI: 10.1111/liv.15897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 02/14/2024] [Accepted: 03/01/2024] [Indexed: 05/23/2024]
Abstract
BACKGROUND The prognosis of metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with liver fibrosis. We investigated the associations between changes in liver stiffness measurement (LSM) over 3-year period and the development of cirrhosis or hepatocellular carcinoma (HCC) in patients with MASLD. METHODS This study involved patients with MASLD who underwent transient elastography at baseline and 3 years after baseline from 2012 to 2020. Low (L), indeterminate (I) and high (H) LSM values were classified as <8 kPa, 8-12 kPa and >12 kPa respectively. RESULTS Among 1738 patients, 150 (8.6%) were diagnosed with cirrhosis or HCC. The proportions of patients with L, I and H risk were 69.7%, 19.9% and 10.5% at baseline, and 78.8%, 12.8% and 8.4% at 3 years after baseline, respectively. The incidence rates of cirrhosis or HCC per 1000 person-years were 3.7 (95% confidence interval [CI], 2.4-5.5) in the L → L + I group, 23.9 (95% CI, 17.1-32.6) in the I → L + I group, 38.3 (95% CI, 22.3-61.3) in the H → L + I group, 62.5 (95% CI, 32.3-109.2) in the I → H group, 67.8 (95% CI, 18.5-173.6) in the L → H group and 93.9 (95% CI 70.1-123.1) in the H → H group. Two risk factors for the development of cirrhosis or HCC were LSM changes and low platelet counts. CONCLUSION LSM changes could predict clinical outcomes in patients with MASLD. Thus, it is important to monitor changes in the fibrotic burden by regular assessment of LSM values.
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Affiliation(s)
- Hye Won Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, Republic of Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Republic of Korea
| | - Kun Hee Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Hoon Ahn
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, Republic of Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Republic of Korea
| | - Han Chu Lee
- Department of Gastroenterology, Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jonggi Choi
- Department of Gastroenterology, Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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De Vincentis A, Tavaglione F, Namba S, Kanai M, Okada Y, Kamatani Y, Maurotti S, Pedone C, Antonelli Incalzi R, Valenti L, Romeo S, Vespasiani-Gentilucci U. Poor accuracy and sustainability of the first-step FIB4 EASL pathway for stratifying steatotic liver disease risk in the general population. Aliment Pharmacol Ther 2024; 59:1402-1412. [PMID: 38497224 DOI: 10.1111/apt.17953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 10/15/2023] [Accepted: 03/03/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND AND AIMS The European Association for the Study of the Liver introduced a clinical pathway (EASL CP) for screening significant/advanced fibrosis in people at risk of steatotic liver disease (SLD). We assessed the performance of the first-step FIB4 EASL CP in the general population across different SLD risk groups (MASLD, Met-ALD and ALD) and various age classes. METHODS We analysed a total of 3372 individuals at risk of SLD from the 2017-2018 National Health and Nutrition Examination Survey (NHANES17-18), projected to 152.3 million U.S. adults, 300,329 from the UK Biobank (UKBB) and 57,644 from the Biobank Japan (BBJ). We assessed liver stiffness measurement (LSM) ≥8 kPa and liver-related events occurring within 3 and 10 years (3/10 year-LREs) as outcomes. We defined MASLD, MetALD, and ALD according to recent international recommendations. RESULTS FIB4 sensitivity for LSM ≥ 8 kPa was low (27.7%), but it ranged approximately 80%-90% for 3-year LREs. Using FIB4, 22%-57% of subjects across the three cohorts were identified as candidates for vibration-controlled transient elastography (VCTE), which was mostly avoidable (positive predictive value of FIB4 ≥ 1.3 for LSM ≥ 8 kPa ranging 9.5%-13% across different SLD categories). Sensitivity for LSM ≥ 8 kPa and LREs increased with increasing alcohol intake (ALD>MetALD>MASLD) and age classes. For individuals aged ≥65 years, using the recommended age-adjusted FIB4 cut-off (≥2) substantially reduced sensitivity for LSM ≥ 8 kPa and LREs. CONCLUSIONS The first-step FIB4 EASL CP is poorly accurate and feasible for individuals at risk of SLD in the general population. It is crucial to enhance the screening strategy with a first-step approach able to reduce unnecessary VCTEs and optimise their yield.
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Affiliation(s)
- Antonio De Vincentis
- Internal Medicine Unit, Department of Internal Medicine and Geriatrics, Campus Bio-Medico University, Rome, Italy
| | - Federica Tavaglione
- Clinical Medicine and Hepatology Unit, Department of Internal Medicine and Geriatrics, Campus Bio-Medico University, Rome, Italy
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Shinichi Namba
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Masahiro Kanai
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
| | - Yoichiro Kamatani
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Samantha Maurotti
- Clinical Nutrition Unit, Department of Medical and Surgical Science, Magna Graecia University, Catanzaro, Italy
| | - Claudio Pedone
- Unit of Geriatrics, Department of Internal Medicine and Geriatrics, Campus Bio-Medico University, Rome, Italy
| | - Raffaele Antonelli Incalzi
- Internal Medicine Unit, Department of Internal Medicine and Geriatrics, Campus Bio-Medico University, Rome, Italy
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milano, Italy
- Translational Medicine, Biological Resource Center, Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Nutrition Unit, Department of Medical and Surgical Science, Magna Graecia University, Catanzaro, Italy
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Umberto Vespasiani-Gentilucci
- Clinical Medicine and Hepatology Unit, Department of Internal Medicine and Geriatrics, Campus Bio-Medico University, Rome, Italy
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7
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Ajmera V, Tesfai K, Sandoval E, Lopez S, Cervantes V, Madamba E, Bettencourt R, Manousou P, Richards L, Loomba R. Validation of AGA clinical care pathway and AASLD practice guidance for nonalcoholic fatty liver disease in a prospective cohort of patients with type 2 diabetes. Hepatology 2024; 79:1098-1106. [PMID: 37862551 PMCID: PMC11023802 DOI: 10.1097/hep.0000000000000635] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/28/2023] [Indexed: 10/22/2023]
Abstract
BACKGROUND AND AIMS Recently, the American Gastroenterological Association and the American Association for the Study of Liver Diseases developed clinical pathways to evaluate populations at high risk for NAFLD. We assessed the diagnostic performance of the new guidance in a well-phenotyped cohort of patients with Type 2 diabetes mellitus (T2DM). APPROACH AND RESULTS This prospective study enrolled patients age ≥50 years with T2DM. Participants underwent a standardized clinical research visit with MRI and ultrasound-based assessment of liver fat and stiffness and Enhanced Liver Fibrosis (ELF) testing. Of 417 participants (36% men) with T2DM with FIB-4 and MRE data, the prevalence of NAFLD was 64% and 12% had advanced fibrosis (MRE≥3.63 kPa). Applying the American Gastroenterological Association pathway of FIB-4 and vibration-controlled transient elastography, the false negative rate was 3.3% and 18% would qualify for specialty referral. Applying the FIB-4 + ELF American Association for the Study of Liver Diseases pathway, the false negative rate was 4.5%, but 50% would qualify for specialty referral. Applying higher ELF cut points improved the pathway, yielding a similar false negative rate of 4.9% but decreased specialty referral to 27%. CONCLUSION Validation of the American Gastroenterological Association clinical pathway in a prospectively recruited cohort with T2DM revealed a low false negative rate and avoided specialty referral in a large percentage of patients. The American Association for the Study of Liver Diseases pathway with FIB-4 + ELF resulted in a high rate of specialty referral, which improved with the utilization of higher ELF cut points and may serve as an alternative for primary care and endocrinology clinics without access to vibration-controlled transient elastography.
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Affiliation(s)
- Veeral Ajmera
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology and Hepatology, University of California at San Diego, La Jolla, CA, USA
| | - Kaleb Tesfai
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
| | - Erick Sandoval
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
| | - Scarlett Lopez
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
| | - Vanessa Cervantes
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
| | - Egbert Madamba
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
| | - Ricki Bettencourt
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
| | - Pinelopi Manousou
- Liver unit/Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Lisa Richards
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology and Hepatology, University of California at San Diego, La Jolla, CA, USA
- School of Public Health, University of California at San Diego, La Jolla, CA, USA
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8
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Qi X, Guo J, Li Y, Fang C, Lin J, Chen X, Jia J. Vitamin E intake is inversely associated with NAFLD measured by liver ultrasound transient elastography. Sci Rep 2024; 14:2592. [PMID: 38296998 PMCID: PMC10831069 DOI: 10.1038/s41598-024-52482-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 01/19/2024] [Indexed: 02/02/2024] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases, whose severe form is associated with oxidative stress. Vitamin E as an antioxidant has a protective potential in NAFLD. Whether dietary intake of vitamin E, supplementary vitamin E use, and total vitamin E have a preventive effect on NAFLD requires investigation. A cross-sectional study used data from the National Health and Nutrition Examination Survey (2017-2020) was conducted. Vitamin E intake, including dietary vitamin E, supplementary vitamin E use, and total vitamin E, was obtained from the average of two 24-h dietary recall interviews. The extent of hepatic steatosis was measured by liver ultrasound transient elastography and presented as controlled attenuated parameter (CAP) scores. Participants were diagnosed with NAFLD based on CAP threshold values of 288 dB/m and 263 dB/m. The statistical software R and survey-weighted statistical models were used to examine the association between vitamin E intake and hepatic steatosis and NAFLD. Overall, 6122 participants were included for NAFLD analysis. After adjusting for age, gender, race, poverty level index, alcohol consumption, smoking status, vigorous recreational activity, body mass index, abdominal circumference, hyperlipidemia, hypertension, diabetes, and supplementary vitamin E use, dietary vitamin E was inversely associated with NAFLD. The corresponding odds ratios (OR) and 95% confidence intervals (CI) of NAFLD for dietary vitamin E intake as continuous and the highest quartile were 0.9592 (0.9340-0.9851, P = 0.0039) and 0.5983 (0.4136-0.8654, P = 0.0091) (Ptrend = 0.0056). Supplementary vitamin E was significantly inversely associated with NAFLD (fully adjusted model: OR = 0.6565 95% CI 0.4569-0.9432, P = 0.0249). A marginal improvement in total vitamin E for NAFLD was identified. The ORs (95% CIs, P) for the total vitamin E intake as continuous and the highest quartile in the fully adjusted model were 0.9669 (0.9471-0.9871, P = 0.0029) and 0.6743 (0.4515-1.0071, P = 0.0538). Sensitivity analysis indicated these findings were robust. The protective effects of vitamin E significantly differed in the stratum of hyperlipidemia (Pinteraction < 0.05). However, no statistically significant results were identified when the threshold value was set as 263 dB/m. Vitamin E intake, encompassing both dietary and supplemental forms, as well as total vitamin E intake, demonstrated a protective association with NAFLD. Augmenting dietary intake of vitamin E proves advantageous in the prevention of NAFLD, particularly among individuals devoid of hyperlipidemia.
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Affiliation(s)
- Xiangjun Qi
- The First Clinical School of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Jiayun Guo
- The First Clinical School of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Yanlong Li
- The First Clinical School of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Caishan Fang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610000, China
| | - Jietao Lin
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No.12, Ji Chang Road, Baiyun District, Guangzhou, 510405, China
| | - Xueqing Chen
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No.12, Ji Chang Road, Baiyun District, Guangzhou, 510405, China
| | - Jie Jia
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No.12, Ji Chang Road, Baiyun District, Guangzhou, 510405, China.
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9
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Abeysekera KWM, Valenti L, Younossi Z, Dillon JF, Allen AM, Nourredin M, Rinella ME, Tacke F, Francque S, Ginès P, Thiele M, Newsome PN, Guha IN, Eslam M, Schattenberg JM, Alqahtani SA, Arrese M, Berzigotti A, Holleboom AG, Caussy C, Cusi K, Roden M, Hagström H, Wong VWS, Mallet V, Castera L, Lazarus JV, Tsochatzis EA. Implementation of a liver health check in people with type 2 diabetes. Lancet Gastroenterol Hepatol 2024; 9:83-91. [PMID: 38070521 DOI: 10.1016/s2468-1253(23)00270-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/31/2023] [Accepted: 08/01/2023] [Indexed: 12/18/2023]
Abstract
As morbidity and mortality related to potentially preventable liver diseases are on the rise globally, early detection of liver fibrosis offers a window of opportunity to prevent disease progression. Early detection of non-alcoholic fatty liver disease allows for initiation and reinforcement of guidance on bodyweight management, risk stratification for advanced liver fibrosis, and treatment optimisation of diabetes and other metabolic complications. Identification of alcohol-related liver disease provides the opportunity to support patients with detoxification and abstinence programmes. In all patient groups, identification of cirrhosis ensures that patients are enrolled in surveillance programmes for hepatocellular carcinoma and portal hypertension. When considering early detection strategies, success can be achieved from applying ad-hoc screening for liver fibrosis in established frameworks of care. Patients with type 2 diabetes are an important group to consider case findings of advanced liver fibrosis and cirrhosis, as up to 19% have advanced fibrosis (which is ten times higher than the general population) and almost 70% have non-alcoholic fatty liver disease. Additionally, patients with type 2 diabetes with alcohol use disorders have the highest proportion of liver-related morbidity of people with type 2 diabetes generally. Patients with type 2 diabetes receive an annual diabetes review as part of their routine clinical care, in which the health of many organs are considered. Yet, liver health is seldom included in this review. This Viewpoint argues that augmenting the existing risk stratification strategy with an additional liver health check provides the opportunity to detect advanced liver fibrosis, thereby opening a window for early interventions to prevent end-stage liver disease and its complications, including hepatocellular carcinoma.
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Affiliation(s)
- Kushala W M Abeysekera
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, UK; Department of Liver Medicine, Bristol Royal Infirmary, Bristol, UK
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy; Precision Medicine, Biological Resource Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Milan, Italy
| | - Zobair Younossi
- Beatty Liver and Obesity Research Program, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, VA, USA
| | - John F Dillon
- Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Alina M Allen
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Mazen Nourredin
- Sherrie & Alan Conover Center for Liver Disease & Transplantation, Underwood Center for Digestive Disorders, Department of Medicine, Houston Methodist Hospital, Houston, Texas, USA; Houston Research Institute, Houston, Texas, USA
| | - Mary E Rinella
- Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Frank Tacke
- Department of Hepatology & Gastroenterology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Sven Francque
- Department of Gastroenterology Hepatology, Antwerp University Hospital, Edegem, Belgium; Translational Sciences in Inflammation and Immunology, Laboratory of Experimental Medicine and Paediatrics, Faculty of Medicine and Health Care Sciences, University of Antwerp, Antwerp, Belgium
| | - Pere Ginès
- Liver Unit, Hospital Clinic Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Barcelona, Spain; Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Maja Thiele
- Center for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department for Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Philip N Newsome
- National Institute for Health Research, Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; Centre for Liver & Gastrointestinal Research, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Indra Neil Guha
- National Institute for Health Research, Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK
| | - Mohammed Eslam
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, NSW, Australia
| | - Jörn M Schattenberg
- Metabolic Liver Research Program, Department of Medicine, University Medical Center, Mainz, Germany
| | - Saleh A Alqahtani
- Liver Transplant Center, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia; Division of Gastroenterology & Hepatology, Johns Hopkins University, Baltimore, MD, USA
| | - Marco Arrese
- Departamento de Gastroenterología, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Annalisa Berzigotti
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adriaan G Holleboom
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Cyrielle Caussy
- CarMeN Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1, University of Lyon, Lyon, France; Department of Endocrinology, Diabetes and Nutrition, Hôpital Lyon Sud, Hospices Civils de Lyon, Lyon, France
| | - Kenneth Cusi
- Division of Endocrinology, Diabetes and Metabolism, University of Florida, Gainesville, FL, USA
| | - Michael Roden
- Department of Endocrinology and Diabetology, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany; Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research, Partner Düsseldorf, Munich, Germany
| | - Hannes Hagström
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vincent Mallet
- Faculty of Medicine, Université Paris Cité, F-75006, Paris, France; Service d'Hépatologie, Département Médico-Universitaire Cancérologie et Spécialités Médico-Chirurgicales, AP-HP.Centre, Groupe Hospitalier Cochin Port Royal, Paris, France
| | - Laurent Castera
- Department of Hepatology, Beaujon Hospital, Université Paris Cité, INSERM UMR1149, Paris, France
| | - Jeffrey V Lazarus
- Department of Health Policy and Mangement, City University of New York Graduate School of Public Health and Health Policy, New York, NY, USA; Barcelona Institute for Global Health, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain
| | - Emmanuel A Tsochatzis
- Sheila Sherlock Liver Unit, Royal Free Hospital, London, UK; UCL Institute of Liver and Digestive Health, University College London, UK.
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10
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Bangaru S, Sundaresh R, Lee A, Prause N, Hao F, Dong TS, Tincopa M, Cholankeril G, Rich NE, Kawamoto J, Bhattacharya D, Han SB, Patel AA, Shaheen M, Benhammou JN. Predictive Algorithm for Hepatic Steatosis Detection Using Elastography Data in the Veterans Affairs Electronic Health Records. Dig Dis Sci 2023; 68:4474-4484. [PMID: 37864738 PMCID: PMC10635943 DOI: 10.1007/s10620-023-08043-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 07/12/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND AND AIMS Nonalcoholic fatty liver disease (NAFLD) has reached pandemic proportions. Early detection can identify at-risk patients who can be linked to hepatology care. The vibration-controlled transient elastography (VCTE) controlled attenuation parameter (CAP) is biopsy validated to diagnose hepatic steatosis (HS). We aimed to develop a novel clinical predictive algorithm for HS using the CAP score at a Veterans' Affairs hospital. METHODS We identified 403 patients in the Greater Los Angeles VA Healthcare System with valid VCTEs during 1/2018-6/2020. Patients with alcohol-associated liver disease, genotype 3 hepatitis C, any malignancies, or liver transplantation were excluded. Linear regression was used to identify predictors of NAFLD. To identify a CAP threshold for HS detection, receiver operating characteristic analysis was applied using liver biopsy, MRI, and ultrasound as the gold standards. RESULTS The cohort was racially/ethnically diverse (26% Black/African American; 20% Hispanic). Significant positive predictors of elevated CAP score included diabetes, cholesterol, triglycerides, BMI, and self-identifying as Hispanic. Our predictions of CAP scores using this model strongly correlated (r = 0.61, p < 0.001) with actual CAP scores. The NAFLD model was validated in an independent Veteran cohort and yielded a sensitivity of 82% and specificity 83% (p < 0.001, 95% CI 0.46-0.81%). The estimated optimal CAP for our population cut-off was 273.5 dB/m, resulting in AUC = 75.5% (95% CI 70.7-80.3%). CONCLUSION Our HS predictive algorithm can identify at-risk Veterans for NAFLD to further risk stratify them by non-invasive tests and link them to sub-specialty care. Given the biased referral pattern for VCTEs, future work will need to address its applicability in non-specialty clinics. Proposed clinical algorithm to identify patients at-risk for NAFLD prior to fibrosis staging in Veteran.
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Affiliation(s)
- Saroja Bangaru
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA
| | - Ram Sundaresh
- David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Anna Lee
- David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Nicole Prause
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Frank Hao
- Department of Radiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Tien S Dong
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA
| | - Monica Tincopa
- Liver Center, University of California, San Diego, San Diego, CA, 92093, USA
| | - George Cholankeril
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Nicole E Rich
- UT Southwestern Medical Center, Division of Digestive and Liver Diseases and Harold C. Simmons Comprehensive Cancer Center, Dallas, TX, 75390, USA
| | - Jenna Kawamoto
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA
| | - Debika Bhattacharya
- Division of Infectious Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Section of Infectious Diseases, Greater Los Angeles Veterans Affairs Healthcare System, Los Angeles, CA, 90075, USA
| | - Steven B Han
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA
| | - Arpan A Patel
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA
- VA Center for the Study of Healthcare Innovation, Implementation, and Policy (CSHIIP), North Hills, CA, 91343, USA
| | - Magda Shaheen
- College of Medicine, Charles R Drew University, Los Angeles, CA, USA
| | - Jihane N Benhammou
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA.
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Department of Medicine, University of California, Los Angeles, 11301 Wilshire Blvd, Building 113, Room 312, Los Angeles, CA, 90073, USA.
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11
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Zhang X, Yip TCF, Wong GLH, Leow WX, Liang LY, Lim LL, Li G, Ibrahim L, Lin H, Lai JCT, Chim AML, Chan HLY, Kong APS, Chan WK, Wong VWS. Clinical care pathway to detect advanced liver disease in patients with type 2 diabetes through automated fibrosis score calculation and electronic reminder messages: a randomised controlled trial. Gut 2023; 72:2364-2371. [PMID: 37549979 PMCID: PMC10715546 DOI: 10.1136/gutjnl-2023-330269] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/30/2023] [Indexed: 08/09/2023]
Abstract
OBJECTIVE We aimed to test the hypothesis that automated fibrosis score calculation and electronic reminder messages could increase the detection of advanced liver disease in patients with type 2 diabetes. DESIGN In this pragmatic randomised controlled trial at five general medical or diabetes clinics in Hong Kong and Malaysia, we randomly assigned patients in a 1:1 ratio to the intervention group with Fibrosis-4 index and aspartate aminotransferase-to-platelet ratio index automatically calculated based on routine blood tests, followed by electronic reminder messages to alert clinicians of abnormal results, or the control group with usual care. The primary outcome was the proportion of patients with increased fibrosis scores who received appropriate care (referred for hepatology care or specific fibrosis assessment) within 1 year. RESULTS Between May 2020 and Oct 2021, 1379 patients were screened, of whom 533 and 528 were assigned to the intervention and control groups, respectively. A total of 55 out of 165 (33.3%) patients with increased fibrosis scores in the intervention group received appropriate care, compared with 4 of 131 (3.1%) patients in the control group (difference 30.2% (95% CI 22.4% to 38%); p<0.001). Overall, 11 out of 533 (2.1%) patients in the intervention group and 1 out of 528 (0.2%) patients in the control group were confirmed to have advanced liver disease (difference 1.9% (95% CI 0.61% to 3.5%); p=0.006). CONCLUSION Automated fibrosis score calculation and electronic reminders can increase referral of patients with type 2 diabetes and abnormal fibrosis scores at non-hepatology settings. TRIAL REGISTRATION NUMBER NCT04241575.
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Affiliation(s)
- Xinrong Zhang
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Terry Cheuk-Fung Yip
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Grace Lai-Hung Wong
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Wei-Xuan Leow
- Gastroenterology and Hepatology Unit, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Lilian Yan Liang
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Lee-Ling Lim
- Endocrine Unit, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Guanlin Li
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Luqman Ibrahim
- Endocrine Unit, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Huapeng Lin
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Jimmy Che To Lai
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Angel Mei-Ling Chim
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Henry Lik Yuen Chan
- Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- Union Hospital, Hong Kong, People's Republic of China
| | - Alice Pik-Shan Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Wah Kheong Chan
- Gastroenterology and Hepatology Unit, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Vincent Wai-Sun Wong
- Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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12
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Wang S, Friedman SL. Found in translation-Fibrosis in metabolic dysfunction-associated steatohepatitis (MASH). Sci Transl Med 2023; 15:eadi0759. [PMID: 37792957 PMCID: PMC10671253 DOI: 10.1126/scitranslmed.adi0759] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023]
Abstract
Metabolic dysfunction-associated steatohepatitis (MASH) is a severe form of liver disease that poses a global health threat because of its potential to progress to advanced fibrosis, leading to cirrhosis and liver cancer. Recent advances in single-cell methodologies, refined disease models, and genetic and epigenetic insights have provided a nuanced understanding of MASH fibrogenesis, with substantial cellular heterogeneity in MASH livers providing potentially targetable cell-cell interactions and behavior. Unlike fibrogenesis, mechanisms underlying fibrosis regression in MASH are still inadequately understood, although antifibrotic targets have been recently identified. A refined antifibrotic treatment framework could lead to noninvasive assessment and targeted therapies that preserve hepatocellular function and restore the liver's architectural integrity.
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Affiliation(s)
- Shuang Wang
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Scott L. Friedman
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029
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13
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Armandi A, Michel M, Gjini K, Emrich T, Bugianesi E, Schattenberg JM. Emerging concepts in the detection of liver fibrosis in non-alcoholic fatty liver disease. Expert Rev Mol Diagn 2023; 23:771-782. [PMID: 37505901 DOI: 10.1080/14737159.2023.2242779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 06/24/2023] [Accepted: 07/27/2023] [Indexed: 07/30/2023]
Abstract
INTRODUCTION The non-invasive identification of liver fibrosis related to Non-Alcoholic Fatty Liver Disease is crucial for risk-stratification of patients. Currently, the reference standard to stage hepatic fibrosis relies on liver biopsy, but multiple approaches are developed to allow for non-invasive diagnosis and risk stratification. Non-invasive tests, including blood-based scores and vibration-controlled transient elastography, have been widely validated and represent a good surrogate for risk stratification according to recent European and American guidelines. AREAS COVERED Novel approaches are based on 'liquid' biomarkers of liver fibrogenesis, including collagen-derived markers (PRO-C3 or PRO-C6), or 'multi-omics' technologies (e.g. proteomic-based molecules or miRNA testing), bearing the advantage of tailoring the intrahepatic disease activity. Alternative approaches are based on 'dry' biomarkers, including magnetic resonance-based tools (including proton density fat fraction, magnetic resonance elastography, or corrected T1), which reach similar accuracy of liver histology and will potentially help identify the best candidates for pharmacological treatment of fibrosing non-alcoholic steatohepatitis. EXPERT OPINION In the near future, the sequential use of non-invasive tests, as well as the complimentary use of liquid and dry biomarkers according to the clinical need (diagnosis, risk stratification, and prognosis, or treatment response) will guide and improve the management of this liver disease.
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Affiliation(s)
- Angelo Armandi
- Division of Gastroenterology and Hepatology, Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126 Turin, Italy
- Metabolic Liver Research Program, I. Department of Medicine, University Medical Centre Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Maurice Michel
- Metabolic Liver Research Program, I. Department of Medicine, University Medical Centre Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
- I. Department of Medicine, University Medical Centre Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Kamela Gjini
- Division of Gastroenterology and Hepatology, Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126 Turin, Italy
| | - Tilman Emrich
- Department of Radiology, University Medical Centre Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Elisabetta Bugianesi
- Division of Gastroenterology and Hepatology, Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126 Turin, Italy
| | - Jorn M Schattenberg
- Metabolic Liver Research Program, I. Department of Medicine, University Medical Centre Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
- I. Department of Medicine, University Medical Centre Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
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14
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Sanyal AJ, Castera L, Wong VWS. Noninvasive Assessment of Liver Fibrosis in NAFLD. Clin Gastroenterol Hepatol 2023; 21:2026-2039. [PMID: 37062495 DOI: 10.1016/j.cgh.2023.03.042] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/06/2023] [Accepted: 03/24/2023] [Indexed: 04/18/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) has emerged as a leading cause of liver-related morbidity and mortality worldwide, afflicting approximately a billion individuals. NAFLD is a slowly progressive disease that may evolve in a subset of patients toward cirrhosis, hepatocellular carcinoma, and end-stage liver disease. Liver fibrosis severity is the strongest predictor of clinical outcomes. The emergence of effective therapeutics on the horizon highlights the need to identify among patients with NAFLD, those with severe fibrosis or cirrhosis, who are the most at risk of developing complications and target them for therapy. Liver biopsy has been the reference standard for this purpose. However, it is not suitable for large-scale population evaluation, given its well-known limitations (invasiveness, rare but severe complications, and sampling variability). Thus, there have been major efforts to develop simple noninvasive tools that can be used in routine clinical settings and in drug development. Noninvasive approaches are based on the quantification of biomarkers in serum samples or on the measurement of liver stiffness, using either ultrasound- or magnetic resonance-based elastography techniques. This review provides a roadmap for future development and integration of noninvasive tools in clinical practice and in drug development in NAFLD. We discuss herein the principles for their development and validation, their use in clinical practice, including for diagnosis of NAFLD, risk stratification in primary care and hepatology settings, prediction of long-term liver-related and non-liver-related outcomes, monitoring of fibrosis progression and regression, and response to future treatment.
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Affiliation(s)
- Arun J Sanyal
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia.
| | - Laurent Castera
- UMR1149 (Center of Research on Inflammation), French Institute of Health and Medical Research, Université Paris Cité, Paris, France; Service d'Hépatologie, Hôpital Beaujon, Assistance Publique-Hôpitaux de Paris, Clichy, France.
| | - Vincent Wai-Sun Wong
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China; Medical Data Analytics Centre, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
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15
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Urias E, Chen VL. Screening for At-Risk Nonalcoholic Fatty Liver Disease in the Primary Care Setting. Semin Liver Dis 2023; 43:133-141. [PMID: 37105224 PMCID: PMC10668862 DOI: 10.1055/a-2082-5203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
While nonalcoholic fatty liver disease is a leading cause of end-stage liver disease, most patients with nonalcoholic fatty liver disease do not develop cirrhosis and its complications. Therefore, risk stratification using inexpensive, noninvasive screening modalities is critical to avoid overdiagnosis and overtreatment of a large proportion of the population. In this review, we discuss the data supporting screening and current professional society recommendations on this topic. Screening for at-risk nonalcoholic fatty liver disease is recommended in patients with risk factors including diabetes, the metabolic syndrome, hepatic steatosis, and elevated aminotransferases. Screening typically consists of noninvasive testing using serum biomarkers followed by elastography using specialized imaging modalities. This sequential screening approach accurately identifies both high- and low-risk patients and is cost-effective when applied to at-risk populations. In conclusion, screening for advanced nonalcoholic fatty liver disease in the primary care setting is a crucial part of identifying high-risk patients who may benefit from aggressive intervention while avoiding overtreatment of patients at low risk of liver-related complications.
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Affiliation(s)
- Esteban Urias
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Vincent L Chen
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
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16
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Tang M, Liu M, Zhang Y, Xie R. Association of family income to poverty ratio and vibration-controlled transient elastography quantified degree of hepatic steatosis in U.S. adolescents. Front Endocrinol (Lausanne) 2023; 14:1160625. [PMID: 37033220 PMCID: PMC10079211 DOI: 10.3389/fendo.2023.1160625] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 03/14/2023] [Indexed: 04/11/2023] Open
Abstract
INTRODUCTION Inequality in socioeconomic status plays an important role in the prevalence of metabolic diseases in adolescents. The purpose of this study was to explore the association between family income and the degree of hepatic steatosis quantified by vibration-controlled transient elastography (VCTE) among U.S. adolescents. METHODS This cross-sectional study included two cycles of the National Health and Nutrition Examination Survey (NHANES) 2017-2020. Multivariate linear regression and smoothing curve fitting were used to investigate the linear and nonlinear relationship between PIR and hepatic steatosis, respectively. Subgroup analysis and interaction tests were used to test whether this relationship was stable across groups. RESULTS Of the 1,574 adolescent participants, 456 lived in poor households and 307 lived in wealthy households. After adjusting for all covariates, PIR (Ratio of family income to poverty) was significantly negatively associated with the degree of hepatic steatosis [-4.78 (-7.39, -2.17)], and this remained stable after converting PIR to a categorical variable. In addition, this significant negative association was more pronounced in women [-7.62 (-11.38, -3.87)], non-Hispanic blacks [-7.19 (-14.43, 0.06)], Mexican Americans [-6.80 (-13.63, 0.03)], and participants with BMI >30 cm2 [-10.83 (-19.70, -1.96)]. CONCLUSIONS PIR was significantly and negatively associated with the degree of hepatic steatosis in US adolescents. Additional prospective studies are needed to confirm our findings.
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Affiliation(s)
- Meiling Tang
- Department of Pediatrics, University of South China Affiliated Nanhua Hospital, Hengyang, China
| | - Mingjiang Liu
- Department of Microsurgery, University of South China. Hengyang Affiliated Nanhua Hospital, Hengyang, China
| | - Ya Zhang
- Department of Gland Surgery, University of South China. Hengyang Affiliated Nanhua Hospital, Hengyang, China
- *Correspondence: Ya Zhang, ; Ruijie Xie,
| | - Ruijie Xie
- Department of Microsurgery, University of South China. Hengyang Affiliated Nanhua Hospital, Hengyang, China
- *Correspondence: Ya Zhang, ; Ruijie Xie,
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