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Verdan S, Torri GB, Marcos VN, Moreira MHS, Defante MLR, Fagundes MDC, de Barros EMJ, Dias AB, Shen L, Altmayer S. Ultrasound-derived fat fraction for diagnosing hepatic steatosis: a systematic review and meta-analysis. Eur Radiol 2025:10.1007/s00330-025-11652-8. [PMID: 40346257 DOI: 10.1007/s00330-025-11652-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2025] [Revised: 03/06/2025] [Accepted: 04/05/2025] [Indexed: 05/11/2025]
Abstract
OBJECTIVE To perform a systematic review and meta-analysis to evaluate the diagnostic performance of Ultrasound-Derived Fat Fraction (UDFF) in detecting hepatic steatosis using Magnetic Resonance Imaging-Proton Density Fat Fraction (MRI-PDFF) as the reference standard. MATERIALS AND METHODS Relevant databases were searched through November 2024. Studies that evaluated the UDFF to detect hepatic steatosis using MRI-PDFF as the reference standard met the inclusion criteria. Our primary outcome was the sensitivity and specificity of UDFF compared to MRI-PDFF in distinguishing steatosis from non-steatosis. Analyses were performed using a bivariate random-effects approach, and heterogeneity was considered substantial if I2 > 50%. A sensitivity analysis was performed to detect potential studies that contribute to heterogeneity. RESULTS Nine studies comprising 1150 patients (mean age range, 14-62 years; 51.2% women) were included. Eight studies were performed using the same vendor platform. The pooled sensitivity of UDFF for detecting hepatic steatosis was 90.4% (95% CI: 84.0%, 94.4%), and the pooled specificity was 83.8% (95% CI: 75.1%, 89.8%). The AUC for the summary receiver-operating characteristic curve was 0.93 (95% CI: 0.83, 0.95). Heterogeneity among the studies was low (I² = 22.2%). CONCLUSION UDFF demonstrates high sensitivity and specificity for detecting hepatic steatosis, supporting its value as a noninvasive tool for screening. KEY POINTS Question Small individual studies suggest that US-Derived Fat Fraction (UDFF) may effectively detect hepatic steatosis compared to MRI, but no meta-analysis has been performed. Findings In nine studies including 1150 patients, UDFF demonstrated high pooled sensitivity (90.4%) and specificity (83.8%) relative to MRI with low between-study heterogeneity. Clinical relevance UDFF demonstrates high diagnostic accuracy compared with MRI, supporting its use as a noninvasive tool with potentially lower cost and wider availability for large-scale screening of hepatic steatosis.
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Affiliation(s)
- Sarah Verdan
- Department of Radiology and Diagnostic Imaging, University Hospital of Juiz de Fora - UFJF, Juiz de Fora, Brazil.
| | - Giovanni B Torri
- Department of Radiology and Diagnostic Imaging, Hospital Universitário de Santa Maria, Universidade Federal de Santa Maria, Santa Maria, Brazil
| | - Vinícius Neves Marcos
- Department of Radiology and Diagnostic Imaging, University Hospital of Juiz de Fora - UFJF, Juiz de Fora, Brazil
| | - Maria Helena Silva Moreira
- Department of Radiology and Diagnostic Imaging, University Hospital of Juiz de Fora - UFJF, Juiz de Fora, Brazil
| | | | | | | | - Adriano B Dias
- University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network-Sinai Health System-Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Luyao Shen
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Stephan Altmayer
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
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Shumbayawonda E, French M, Carolan JE, Beyer C, Lorgelly P, Tonev D, Banerjee R, Miller MH, Byrne CD, Patel J, Ajaz S, Agarwal K, Backhus J, Coenraad MJ, Schaapman JJ, Fraser A, Castelo Branco M, Barclay S, Dollinger MM, Cuthbertson DJ, Forton D, Lamb HJ. Utility and cost-effectiveness of LiverMultiScan for MASLD diagnosis: a real-world multi-national randomised clinical trial. COMMUNICATIONS MEDICINE 2025; 5:74. [PMID: 40102528 PMCID: PMC11920111 DOI: 10.1038/s43856-025-00796-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 03/04/2025] [Indexed: 03/20/2025] Open
Abstract
BACKGROUND Increasing prevalence of metabolic dysfunction-associated liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) poses a growing healthcare burden. Noninvasive diagnostic tools to replace liver biopsy are urgently needed. We investigated the utility and cost-effectiveness of including multiparametric magnetic resonance imaging (mpMRI) to the management of adults with suspected MASLD multi-nationally. METHODS RADIcAL-1, a 1:1 randomised controlled trial (standard-of-care [SoC] vs. imaging arm [IA; SoC+mpMRI]) included 802 participants from Germany, Netherlands, Portugal and UK. Wilcoxon-rank tests were used to compare access to healthcare practitioners, patient assessments and proportion of patients with a diagnosis (%diagnosis). Liver fat and disease activity (corrected T1 [cT1]) were used to identify patients not requiring biopsy in the imaging arm. Primary endpoint was mpMRI cost-effectiveness and improvement in resource use (visits avoided) using mpMRI. RESULTS mpMRI is cost-effective with an ICER of €4968/QALY gained. 403 were randomised to IA and 399 to SoC. SoC has significantly more specialist appointments (p = 0.015) and patient assessments (p < 0.001). Across all involved hospitals, %diagnosis is significantly higher in the imaging arm (p = 0.0012). cT1 correctly classifies 50% of patients without MASH with fibrosis and can avoid biopsy. Including all costs, the imaging arm incurs higher short-term per-patient healthcare expenditure compared to the SoC arm (€1,300 vs. €830). CONCLUSION Adding mpMRI to SoC for the management of adults with suspected MASLD multi-nationally is cost-effective, enhances rate of diagnosis multi-nationally and increases rate of diagnosis without increasing other liver-related health care resource use. Due to the need for standardisation of SoC, widespread use can support optimisation of the MASLD clinical pathway and improve long-term patient management.
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Affiliation(s)
| | | | - Jane Elizabeth Carolan
- Perspectum Ltd, Oxford, UK
- Institute of Health Informatics, University College London, London, UK
- Institute of Epidemiology and Health Care, University College London, London, UK
| | | | - Paula Lorgelly
- Institute of Health Informatics, University College London, London, UK
| | | | | | | | - Christopher D Byrne
- Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton, Southampton General Hospital, Southampton, UK
- Nutrition and Metabolism, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Janisha Patel
- Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton, Southampton General Hospital, Southampton, UK
- Nutrition and Metabolism, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Saima Ajaz
- Institute of Liver Studies, Kings College Hospital, London, UK
| | - Kosh Agarwal
- Institute of Liver Studies, Kings College Hospital, London, UK
| | | | - Minneke J Coenraad
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jelte J Schaapman
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Andrew Fraser
- Consultant Hepatologist and Gastroenterologist, Queen Elizabeth University Hospital, Glasgow, UK
| | - Miguel Castelo Branco
- CIBIT (Coimbra Institute for Biomedical Imaging and Translational) Research, Faculdade de Medicina, Instituto de Ciências Nucleares Aplicadas à Saúde, Universidade de Coimbra, Coimbra, Portugal
| | | | | | - Daniel J Cuthbertson
- Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, UK
| | - Daniel Forton
- Department of Gastroenterology and Hepatology, St. George's Hospital, London, UK
| | - Hildo J Lamb
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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Younossi ZM, Paik JM, Henry L, Pollock RF, Stepanova M, Nader F. Economic evaluation of non-invasive test pathways for high-risk metabolic dysfunction-associated steatotic liver disease (MASLD) in the United Kingdom (UK). Ann Hepatol 2025; 30:101789. [PMID: 39929473 DOI: 10.1016/j.aohep.2025.101789] [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: 09/10/2024] [Revised: 01/22/2025] [Accepted: 01/28/2025] [Indexed: 02/16/2025]
Abstract
INTRODUCTION AND OBJECTIVES Non-invasive tests (NITs) identifying high-risk MASLD in primary care is suggested but, these strategies cost-effectiveness remain uncertain in the United Kingdom (UK). MATERIALS AND METHODS A cost-utility/budget impact model was developed for cost-effectiveness evaluation of two screening strategies (1) FIB-4 followed by Enhanced Liver Fibrosis (ELF) (FIB-4/ELF); (2) FIB-4 followed by Transient Elastography (FIB-4/TE) compared to standard of care (SoC). A cohort of primary care MASLD patients with an advanced fibrosis prevalence of 4.20 % was simulated. A decision tree classified patients as true positives, false positives, true negatives, or false negatives based on NIT diagnostic accuracy, followed by a 3-year Markov model to estimate costs and quality-adjusted life years (QALYs). The model included 11 health states: MASLD, fibrosis stages (F0-F3), cirrhosis, decompensated cirrhosis, liver transplant, and death. Costs came from the National Tariff, National Schedule of Costs and Personal Social Services Research Unit. RESULTS SoC had a false diagnosis rate of 36.26 %, while FIB-4 with ELF or TE reduced false positive rates to 23.20 % and 20.91 %, respectively. Compared to 112,807 unnecessary hepatology referrals under SoC, FIB-4/ELF or FIB-4/TE reduced unnecessary referrals by 38,031 (33.71 %) and 45,767 (40.57 %), respectively. Both strategies demonstrated cost-effectiveness relative to SoC with total cost per patient of GBP 983.37 for FIB-4/TE, GBP 993.15 for FIB-4/ELF compared to SoC, GBP 1,014.15. CONCLUSIONS Sequential NIT screening strategies, combining FIB-4 with ELF or TE, are cost-saving, reduce unnecessary hepatology referrals, and offer an efficient (improve outcomes and reduce healthcare costs) approach for managing high-risk MASLD in UK primary care.
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Affiliation(s)
- Zobair M Younossi
- The Global NASH Council, Washington DC, USA; Beatty Liver and Obesity Research, Inova Health System, Falls Church, VA, USA.
| | - James M Paik
- The Global NASH Council, Washington DC, USA; Beatty Liver and Obesity Research, Inova Health System, Falls Church, VA, USA
| | - Linda Henry
- The Global NASH Council, Washington DC, USA; Beatty Liver and Obesity Research, Inova Health System, Falls Church, VA, USA
| | | | - Maria Stepanova
- The Global NASH Council, Washington DC, USA; Beatty Liver and Obesity Research, Inova Health System, Falls Church, VA, 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, Inova Health System, Falls Church, VA, USA; Center for Outcomes Research in Liver Diseases, Washington DC, USA
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Saberian A, Dehghan A, Homayounfar R, Kaffashan S, Zarei F, Niknejad S, Farjam M. Determining the sensitivity and specificity of the calculated fatty liver index in comparison with ultrasound. BMC Gastroenterol 2024; 24:443. [PMID: 39623301 PMCID: PMC11610269 DOI: 10.1186/s12876-024-03535-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 11/22/2024] [Indexed: 12/06/2024] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease in human history and it is expected to surpass other causes of liver disease mortality by 2030. Therefore, finding an alternative way to diagnose steatosis in the early stage when imaging modalities are not available is crucial. This study decided to validate the optimal cut-off points and the sensitivity and specificity of the Fatty Liver Index (FLI) based on the Iranian population compared to ultrasonography. METHODS The data of 367 individuals, 108 males and 259 females over 35, were analyzed. Hepatic steatosis was identified by ultrasound. FLI was determined from waist circumference, gamma-glutamyl transferase, triglyceride, and body mass index data. The receiver operating characteristic curve (ROC) was used to determine the best FLI index cut point for diagnosing nonalcoholic fatty liver. The sensitivity and specificity indices were calculated for the determined cut point. RESULTS The AUC of the FLI index in diagnosing NAFLD in the total population was 0.733 (95% CI: 0.68-0.77, specificity = 0.6705, sensitivity = 0.7320) with the optimal COP of 40.6. There was a statistically significant association between non-alcoholic liver disease and FLI-based ultrasound (p < 0.0001). Furthermore, the sex-specific optimal COPs of FLI was 33.4, specificity = 0.6071, sensitivity = 0.8462 in men vs. 27.8, sensitivity = 0.8233, specificity = 0.7655 in women. CONCLUSION FLI is a reliable tool for identifying individuals with NAFLD. It has the potential to aid in detecting and managing this condition in large-scale populations while other methods are not available. We also determine an optimal COP of 40.6 with sensitivity and specificity of 73.20% and 67.05% in the general population, respectively.
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Affiliation(s)
- Arash Saberian
- Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Azizallah Dehghan
- Department of Epidemiology, Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Reza Homayounfar
- National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeid Kaffashan
- Department of Radiology, School of Medicine, Fasa University of Medical Science, Fasa, Iran
| | - Fariba Zarei
- Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sepideh Niknejad
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, 7156685691, Iran.
| | - Mojtaba Farjam
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, 74616-86688, Iran.
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Kim MN, Han JW, An J, Kim BK, Jin YJ, Kim SS, Lee M, Lee HA, Cho Y, Kim HY, Shin YR, Yu JH, Kim MY, Choi Y, Chon YE, Cho EJ, Lee EJ, Kim SG, Kim W, Jun DW, Kim SU, on behalf of The Korean Association for the Study of the Liver (KASL). KASL clinical practice guidelines for noninvasive tests to assess liver fibrosis in chronic liver disease. Clin Mol Hepatol 2024; 30:S5-S105. [PMID: 39159947 PMCID: PMC11493350 DOI: 10.3350/cmh.2024.0506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 08/12/2024] [Accepted: 08/16/2024] [Indexed: 08/21/2024] Open
Affiliation(s)
- Mi Na Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - Ji Won Han
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jihyun An
- Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Beom Kyung Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - Young-Joo Jin
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Seung-seob Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Minjong Lee
- Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Korea
| | - Han Ah Lee
- Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Yuri Cho
- Center for Liver and Pancreatobiliary Cancer, National Cancer Center, Goyang, Korea
| | - Hee Yeon Kim
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yu Rim Shin
- Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Jung Hwan Yu
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Moon Young Kim
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - YoungRok Choi
- Department of Surgery, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea
| | - Young Eun Chon
- Department of Internal Medicine, Institute of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Eun Ju Cho
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Eun Joo Lee
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Gyune Kim
- Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Won Kim
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Dae Won Jun
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea
| | - Seung Up Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - on behalf of The Korean Association for the Study of the Liver (KASL)
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
- Center for Liver and Pancreatobiliary Cancer, National Cancer Center, Goyang, Korea
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Department of Surgery, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Institute of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea
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Pochopien M, Dziedzic JW, Aballea S, Clay E, Zerda I, Toumi M, Borissov B. Cost-Effectiveness Analysis of Innovative Therapies for Patients with Non-Alcoholic Fatty Liver Disease. JOURNAL OF MARKET ACCESS & HEALTH POLICY 2024; 12:35-57. [PMID: 38660414 PMCID: PMC11036255 DOI: 10.3390/jmahp12020005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 01/23/2024] [Accepted: 03/13/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVE Currently there are no disease-specific approved therapies for non-alcoholic fatty liver (NAFL) and non-alcoholic steatohepatitis (NASH); however, several treatments are under development. This study aimed to estimate the cost-effectiveness of hypothetical innovative therapies compared with lifestyle intervention alone and combined with pioglitazone, and assess the health economic consequences of their future availability for patients. METHODS A Markov cohort model was developed, considering fourteen disease health states and one absorbing state representing death. Transition probabilities, costs, utilities, and treatment efficacy were based on published data and assumptions. Four treatment strategies were considered, including two existing therapies (lifestyle intervention, small molecule treatment) and two hypothetical interventions (biological and curative therapy). The analysis was performed from the US third-party payer perspective. RESULTS The curative treatment with the assumed efficacy of 70% of patients cured and assumed price of $500,000 was the only cost-effective option. Although it incurred higher costs (a difference of $188,771 vs. lifestyle intervention and $197,702 vs. small molecule), it generated more QALYs (a difference of 1.58 and 1.38 QALYs, respectively), resulting in an ICER below the willingness-to-pay threshold of $150,000 per QALY. The sensitivity analyses showed that the results were robust to variations in model parameters. CONCLUSIONS This study highlighted the potential benefits of therapies aimed at curing a disease rather than stopping its progression. Nonetheless, each of the analyzed therapies could be cost-effective compared with lifestyle intervention at a relatively high price.
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Affiliation(s)
| | | | - Samuel Aballea
- InovIntell, 3023GJ Rotterdam, Zuid-Holland, The Netherlands
| | - Emilie Clay
- Clever-Access, 53 Avenue Montaigne, 75008 Paris, France
| | - Iwona Zerda
- Assignity, Wadowicka 8a, 30-415 Krakow, Poland
| | - Mondher Toumi
- InovIntell, 215 rue du Faubourg St Honoré, 75008 Paris, France
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de Almeida Cardoso MM, Thabane L, Romeiro FG, Silva GF, Machado-Rugolo J, Fonseca AF, Dos Santos WM, de Almeida JTC, Thavorn K, Tarride JE. Economic evaluation of non-invasive liver tests for the diagnosis of liver fibrosis in chronic liver diseases: a systematic review protocol. JBI Evid Synth 2024; 22:681-688. [PMID: 37789815 DOI: 10.11124/jbies-23-00097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
OBJECTIVE The objective of this review is to determine the costs and benefits of non-invasive liver tests vs liver biopsy in patients with chronic liver diseases. INTRODUCTION Hepatic diseases can lead to liver fibrosis, cirrhosis, and hepatocellular carcinoma. In the past, liver biopsy was the only option for diagnosing fibrosis degree. Liver biopsy is an invasive procedure that depends on the sample size to be able to deliver an accurate diagnosis. In recent years, non-invasive liver tests have been increasingly used to estimate liver fibrosis degree; however, there is a lack of economic assessments of technology implementation outcomes. INCLUSION CRITERIA This review will include partial (cost studies) and complete economic evaluation studies on hepatitis B, hepatitis C, alcoholic liver disease, and non-alcoholic fatty liver disease that compare non-invasive liver tests with liver biopsies. Studies published in English, French, Spanish, German, Italian, or Portuguese will be included. No date limits will be applied to the search. METHODS This review will identify published and unpublished studies. Published studies will be identified using MEDLINE (PubMed), Cochrane Library (CENTRAL), Embase, Web of Science, Scopus, and LILACS. Sources of unpublished studies and gray literature will include sources from health technology assessment agencies, clinical practice guidelines, regulatory approvals, advisories and warnings, and clinical trial registries, as well as Google Scholar. Two independent reviewers will screen and assess studies, and extract and critically appraise the data. Data extracted from the included studies will be analyzed and summarized to address the review objective using narrative text, and the JBI dominance ranking matrix. REVIEW REGISTRATION PROSPERO CRD42023404278.
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Affiliation(s)
- Marilia Mastrocolla de Almeida Cardoso
- Health Technology Assessment Center, Hospital das Clínicas of Medical School (FMB), HCFMB, Botucatu, SP, Brazil
- The Brazilian Centre for Evidence-based Healthcare: A JBI Centre of Excellence, University of São Paulo, São Paulo, Brazil
| | - Lehana Thabane
- McMaster University, Department of Health Research Methods, Evidence, and Impact, Hamilton, ON, Canada
- St Joseph's Healthcare Hamilton, Biostatistics Unit, Hamilton, ON, Canada
- University of Johannesburg, Faculty of Health Sciences, Johannesburg, South Africa
| | - Fernando Gomes Romeiro
- São Paulo State University, Medical School (FMB), Department of Internal Medicine, Botucatu, SP, Brazil
| | - Giovanni Faria Silva
- São Paulo State University, Medical School (FMB), Department of Internal Medicine, Botucatu, SP, Brazil
| | - Juliana Machado-Rugolo
- Health Technology Assessment Center, Hospital das Clínicas of Medical School (FMB), HCFMB, Botucatu, SP, Brazil
| | - Alan Francisco Fonseca
- Health Technology Assessment Center, Hospital das Clínicas of Medical School (FMB), HCFMB, Botucatu, SP, Brazil
| | - Wendel Mombaque Dos Santos
- The Brazilian Centre for Evidence-based Healthcare: A JBI Centre of Excellence, University of São Paulo, São Paulo, Brazil
| | | | - Kednapa Thavorn
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Jean-Eric Tarride
- McMaster University, Department of Health Research Methods, Evidence, and Impact, Hamilton, ON, Canada
- Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, ON, Cananda
- Programs for Assessment of Technology in Health (PATH), The Research Institute of St Joe's Hamilton, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
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Liu Y, Chai S, Zhang X. Effect of MAFLD on albuminuria and the interaction between MAFLD and diabetes on albuminuria. J Diabetes 2024; 16:e13501. [PMID: 37974383 PMCID: PMC10859309 DOI: 10.1111/1753-0407.13501] [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: 07/25/2023] [Revised: 09/29/2023] [Accepted: 10/30/2023] [Indexed: 11/19/2023] Open
Abstract
OBJECTIVE To investigate the effects of metabolic associated fatty liver disease (MAFLD) on chronic kidney disease (CKD) and abnormal albuminuria and the interaction between MAFLD and diabetes on abnormal albuminuria. METHODS Data of participants in the American 2017-2018 National Health and Nutrition Examination Survey were analyzed. Hepatic steatosis was defined as median controlled attenuation parameter ≥248 dB/m, which was measured by ultrasound transient elastography. MAFLD was defined by evidence of hepatic steatosis on ultrasound in addition to any metabolic dysregulation. Hepatic fibrosis was detected by FibroScan and quantified by parameter of stiffness (E). Hepatic fibrosis was defined as E ≥ 9.7 kPa. As component of CKD, reduced estimated glomerular filtration rate (eGFR) was defined as<60 mL/min/1.73 m2 and abnormal albuminuria was defined as urinary albumin-to-creatinine ratio ≥ 30 mg/g. RESULTS Data pertaining to 5119 participants were included in the analysis, with 40.6% hepatic normal, 52.1% MAFLD, and 7.2% hepatic fibrosis. Multivariable regression analyses showed that for abnormal albuminuria, the odds ratio (OR) was 0.82 (0.65-1.04) for MAFLD group and 1.73 (1.14.-,2.63) for hepatic fibrosis group, both taking the hepatic healthy group as reference. As for reduced eGFR, the OR was 0.68 (0.51-0.92) for MAFLD group and 0.93 (0.56-1.53) for hepatic fibrosis group. Diabetes was significantly related to greater risk of abnormal albuminuria (3.04 [2.70-3.42]) and reduced eGFR (1.53 [1.33-1.77]). With regard to the prevalence of abnormal albuminuria, the OR was 1.64 (1.03-2.60) for those with hepatic fibrosis only, 3.30 (2.80-3.89) for those with diabetes only, and 5.05 (3.30-7.72) for those with both two conditions. But there were neither additive interaction (relative excess risk due to interaction 0.56 [-1.41-.53], p = .577) nor multiplicative interaction (OR 0.81 [0.45-1.47], p = .492) between hepatic fibrosis and diabetes on the prevalence of abnormal albuminuria. CONCLUSION MAFLD with hepatic fibrosis is an independent risk factor for abnormal albuminuria, but it does not have interaction with diabetes on abnormal albuminuria.
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Affiliation(s)
- Yufang Liu
- Department of EndocrinologyPeking University International HospitalBeijingChina
| | - Sanbao Chai
- Department of EndocrinologyPeking University International HospitalBeijingChina
| | - Xiaomei Zhang
- Department of EndocrinologyPeking University International HospitalBeijingChina
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Aggio D, Gallop K, Wittrup-Jensen V, Farsani SF, Lloyd AJ. Estimating utility values for non-alcoholic steatohepatitis health states: a discrete choice experiment. J Comp Eff Res 2024; 13:e230033. [PMID: 38226909 PMCID: PMC10842270 DOI: 10.57264/cer-2023-0033] [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: 03/22/2023] [Accepted: 12/12/2023] [Indexed: 01/17/2024] Open
Abstract
Background: This study estimated utility values for non-alcoholic steatohepatitis (NASH). Previous studies have assumed that health-related quality of life does not vary between the early stages of NASH. Materials & Methods: Discrete choice experiment (DCE) surveys estimated the value of avoiding fibrosis progression. Patients also completed the EQ-5D-5L. Marginal rates of substitution estimated utility change associated with fibrosis progression. Results: DCE surveys were completed by the UK general public (n = 520) and patients with NASH (n = 154). The utility decline between fibrosis stages F1 and F4 decompensated was between -0.521 to -0.646 (depending on method). Conclusion: Three methods were used to estimate utilities for NASH, each one showed sensitivity to advancing fibrosis, including in the early stages, which is often considered asymptomatic.
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Affiliation(s)
- Daniel Aggio
- Acaster Lloyd Consulting Ltd, London, WC1X 8NL, UK
| | - Katy Gallop
- Acaster Lloyd Consulting Ltd, London, WC1X 8NL, UK
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Vianna P, Calce SI, Boustros P, Larocque-Rigney C, Patry-Beaudoin L, Luo YH, Aslan E, Marinos J, Alamri TM, Vu KN, Murphy-Lavallée J, Billiard JS, Montagnon E, Li H, Kadoury S, Nguyen BN, Gauthier S, Therien B, Rish I, Belilovsky E, Wolf G, Chassé M, Cloutier G, Tang A. Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis. Radiology 2023; 309:e230659. [PMID: 37787678 DOI: 10.1148/radiol.230659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Background Screening for nonalcoholic fatty liver disease (NAFLD) is suboptimal due to the subjective interpretation of US images. Purpose To evaluate the agreement and diagnostic performance of radiologists and a deep learning model in grading hepatic steatosis in NAFLD at US, with biopsy as the reference standard. Materials and Methods This retrospective study included patients with NAFLD and control patients without hepatic steatosis who underwent abdominal US and contemporaneous liver biopsy from September 2010 to October 2019. Six readers visually graded steatosis on US images twice, 2 weeks apart. Reader agreement was assessed with use of κ statistics. Three deep learning techniques applied to B-mode US images were used to classify dichotomized steatosis grades. Classification performance of human radiologists and the deep learning model for dichotomized steatosis grades (S0, S1, S2, and S3) was assessed with area under the receiver operating characteristic curve (AUC) on a separate test set. Results The study included 199 patients (mean age, 53 years ± 13 [SD]; 101 men). On the test set (n = 52), radiologists had fair interreader agreement (0.34 [95% CI: 0.31, 0.37]) for classifying steatosis grades S0 versus S1 or higher, while AUCs were between 0.49 and 0.84 for radiologists and 0.85 (95% CI: 0.83, 0.87) for the deep learning model. For S0 or S1 versus S2 or S3, radiologists had fair interreader agreement (0.30 [95% CI: 0.27, 0.33]), while AUCs were between 0.57 and 0.76 for radiologists and 0.73 (95% CI: 0.71, 0.75) for the deep learning model. For S2 or lower versus S3, radiologists had fair interreader agreement (0.37 [95% CI: 0.33, 0.40]), while AUCs were between 0.52 and 0.81 for radiologists and 0.67 (95% CI: 0.64, 0.69) for the deep learning model. Conclusion Deep learning approaches applied to B-mode US images provided comparable performance with human readers for detection and grading of hepatic steatosis. Published under a CC BY 4.0 license. Supplemental material is available for this article. See also the editorial by Tuthill in this issue.
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Affiliation(s)
- Pedro Vianna
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Sara-Ivana Calce
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Pamela Boustros
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Cassandra Larocque-Rigney
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Laurent Patry-Beaudoin
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Yi Hui Luo
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Emre Aslan
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - John Marinos
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Talal M Alamri
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Kim-Nhien Vu
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Jessica Murphy-Lavallée
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Jean-Sébastien Billiard
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Emmanuel Montagnon
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Hongliang Li
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Samuel Kadoury
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Bich N Nguyen
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Shanel Gauthier
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Benjamin Therien
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Irina Rish
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Eugene Belilovsky
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Guy Wolf
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Michaël Chassé
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - Guy Cloutier
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
| | - An Tang
- From the Department of Imaging and Engineering (P.V., S.I.C., C.L.R., L.P.B., E.M., H.L., S.K., M.C., G.C., A.T.), Laboratory of Biorheology and Medical Ultrasonics (P.V., G.C.), and Clinical Laboratory of Image Processing (E.M., A.T.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Institute of Biomedical Engineering (P.V., G.C.) and Department of Computer Science and Operations Research (S.G., I.R., G.W.), Université de Montréal, Montréal, Canada; Departments of Radiology (S.I.C., P.B., C.L.R., L.P.B., Y.H.L., E.A., J.M., T.M.A., K.N.V., J.M.L., J.S.B., A.T.) and Pathology (B.N.N.), Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4; Department of Computer Engineering, École Polytechnique de Montréal, Montréal, Canada (S.K.); Mila-Quebec Artificial Intelligence Institute, Montréal, Canada (S.G., B.T., I.R., E.B., G.W.); and Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada (B.T., E.B.)
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11
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Allen AM, Lazarus JV, Younossi ZM. Healthcare and socioeconomic costs of NAFLD: A global framework to navigate the uncertainties. J Hepatol 2023; 79:209-217. [PMID: 36740046 PMCID: PMC10293095 DOI: 10.1016/j.jhep.2023.01.026] [Citation(s) in RCA: 76] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/20/2023] [Accepted: 01/26/2023] [Indexed: 02/07/2023]
Abstract
Left unaddressed, non-alcoholic fatty liver disease (NAFLD) will continue to have substantial health, economic and social implications. To address the challenge, a paradigm shift is needed in the way NAFLD is conceptualised. Concerted, collaborative action across medical specialities, industry sectors and governments will be vital in tackling this public health threat. To drive this change, in this review, we present data on the current global healthcare and socioeconomic costs of NAFLD and highlight priority actions. The estimated healthcare costs of patients with NAFLD are nearly twice as high as their age-matched counterparts without the disease and are highest in those with advanced fibrosis and end-stage liver disease. NAFLD is accountable for the highest increase in DALYs (disability-adjusted life years) among all liver diseases globally. NAFLD and non-alcoholic steatohepatitis (NASH)-specific drug therapies are not yet available and there is considerable uncertainty regarding cost, optimal length of treatment, and their impact on liver-related outcomes and mortality. Among the currently available bariatric procedures, sleeve gastrectomy is reported to be the most cost-effective for NASH resolution. Gastric bypass remains very expensive, while data on bariatric endoscopy are limited. Lastly, we propose a global NAFLD/NASH investment framework to guide the development of achievable yet ambitious country-specific targets and strategic actions to optimise resource allocation and reduce the prevalence of NAFLD and NASH. Its focus on high-level inputs will be critical to enabling a political and financial environment that supports clinical-level implementation of NAFLD prevention, treatment and care efforts, across all settings.
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Affiliation(s)
- Alina M Allen
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
| | - Jeffrey V Lazarus
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain; Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain; CUNY Graduate School of Public Health and Health Policy, New York, NY, USA
| | - Zobair M Younossi
- Center for Liver Diseases, Inova Medicine, Falls Church, Virginia, USA
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12
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Gruneau L, Kechagias S, Sandström P, Ekstedt M, Henriksson M. Cost-effectiveness analysis of noninvasive tests to identify advanced fibrosis in non-alcoholic fatty liver disease. Hepatol Commun 2023; 7:e00191. [PMID: 37347223 PMCID: PMC10289790 DOI: 10.1097/hc9.0000000000000191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/08/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND Advanced fibrosis is associated with end-stage liver disease (ESLD) and mortality in NAFLD. As treatments specifically targeted at NAFLD are lacking, patient management focuses on surveillance for early detection of complications related to end-stage liver disease. Although current and emerging diagnostic tools for the detection of advanced fibrosis are crucial for surveillance, their added value is unclear. The aim of this study was to evaluate the costs and health outcomes of noninvasive tests in patient management strategies for diagnosing advanced fibrosis in NAFLD patients. METHOD A decision analytical model was developed to evaluate 13 patient management strategies, including a no-testing strategy and 12 diagnostic algorithms with noninvasive tests (fibrosis 4- score, enhanced liver fibrosis, vibration controlled transient elastography), and liver biopsy. Model inputs were synthesized from the literature and Swedish registries. Lifetime health care costs, life years, quality-adjusted life years, clinical outcomes, and incremental cost-effectiveness ratios were calculated for a cohort of 55-year-old patients diagnosed with NAFLD. RESULT The cost per quality-adjusted life year was above €50 000 for all diagnostic algorithms compared to no-testing. The cost per quality-adjusted life year of the most promising diagnostic algorithm (fibrosis 4- score, enhanced liver fibrosis, vibration controlled transient elastography, and liver biopsy) was ∼ €181 000 compared with no testing. Sensitivity analysis indicated that if treatment slowed down disease progression, the value of testing increased. CONCLUSION The result questions the overall value of comprehensive diagnostic testing in a broad NAFLD population in current routine clinical care. The role of noninvasive tests may change if evidence-based treatments to slow down disease progression emerge.
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Affiliation(s)
- Lina Gruneau
- Center for Medical Technology Assessment, Department of Health, Medicine and Caring Sciences, Linköping University, Sweden
| | - Stergios Kechagias
- Division of Diagnostics and Specialist Medicine, Department of Health, and Caring Sciences, Linköping University, Sweden
| | - Per Sandström
- Division of Surgery, Department of Biomedical and Clinical Sciences, Orthopedics, and Oncology, Linköping University, Sweden
| | - Mattias Ekstedt
- Division of Diagnostics and Specialist Medicine, Department of Health, and Caring Sciences, Linköping University, Sweden
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
| | - Martin Henriksson
- Center for Medical Technology Assessment, Department of Health, Medicine and Caring Sciences, Linköping University, Sweden
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13
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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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14
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Gruneau L, Ekstedt M, Kechagias S, Henriksson M. Disease Progression Modeling for Economic Evaluation in Nonalcoholic Fatty Liver Disease-A Systematic Review. Clin Gastroenterol Hepatol 2023; 21:283-298. [PMID: 34757199 DOI: 10.1016/j.cgh.2021.10.040] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 09/10/2021] [Accepted: 10/24/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Globally, 25% of people have nonalcoholic fatty liver disease (NAFLD), and, currently, there are no approved pharmacologic treatments for NAFLD. With a slow disease progression, long-term impact of pharmacologic treatments can be assessed only by complementing emerging clinical trial evidence with data from other sources in disease progression modeling. Although this modeling is crucial for economic evaluation studies assessing the clinical and economic consequences of new treatments, the approach to modeling the natural history of NAFLD differs in contemporary research. This systematic literature review investigated modeling of the natural history of NAFLD. METHODS A systematic literature review was conducted searching PubMed, Scopus, Cochrane, and the National Health Service Economic Evaluation Database to identify articles focusing on modeling of the natural history of NAFLD. Model structure and transition probabilities were extracted from included studies. RESULTS Of the 28 articles identified, differences were seen in model structure and data input. Clear definitions of nonalcoholic steatohepatitis and NAFLD often were lacking; differences in the granularity of modeling fibrosis progression, the approach to disease regression, and modeling of advanced liver disease varied across studies. Observed transition probabilities for F0 to F1, F1 to F2, F2 to F3, and F3 to compensated cirrhosis varied between 0.059 to 0.095, 0.023 to 0.140, 0.018 to 0.070, and 0.040 to 0.118, respectively. CONCLUSIONS The difference in disease progression modeling for seemingly similar models warrants further inquiry regarding how to model the natural course of NAFLD. Such differences may have a large impact when assessing the value of emerging pharmacologic treatments.
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Affiliation(s)
- Lina Gruneau
- Center for Medical Technology Assessment, Linköping, Sweden.
| | - Mattias Ekstedt
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Stergios Kechagias
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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Torres L, Schuch A, Longo L, Valentini BB, Galvão GS, Luchese E, Pinzon C, Bartels R, Álvares-da-Silva MR. New FIB-4 and NFS cutoffs to guide sequential non-invasive assessment of liver fibrosis by magnetic resonance elastography in NAFLD. Ann Hepatol 2023; 28:100774. [PMID: 36280013 DOI: 10.1016/j.aohep.2022.100774] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/26/2022] [Accepted: 10/15/2022] [Indexed: 02/04/2023]
Abstract
INTRODUCTION AND OBJECTIVES Liver fibrosis is an important prognosis marker in non-alcoholic fatty liver disease (NAFLD). Biopsy has been considered the gold-standard method for measuring liver fibrosis; however, it is an invasive procedure. Non-invasive diagnostic tools have been developed, such as clinical scores and magnetic resonance elastography (MRE), which is the most accurate non-invasive method to determine liver fibrosis. Thus, the aim was to determine the NAFLD Fibrosis Score (NFS) and the Fibrosis-4 Score (FIB-4) cut-off points that best identify NAFLD patients at risk for developing liver fibrosis. PATIENTS AND METHODS Single-center cross-sectional study with prospective recruitment of NAFLD (training-cohort) and MAFLD (validation-cohort) patients undergoing MRE. The NFS and the FIB-4 cut-off points that best-differentiated patients with fibrosis, using the MRE as the standard method, were determined. RESULTS Two cohorts were analyzed, a training cohort that included the initial 183 patients with NAFLD and a validation cohort that included 289 patients. In the training cohort, 60.1% had mild steatosis and 11.5% had liver fibrosis ≥ F1 by MRE. ROC curves were developed for FIB-4 and NFS, and the cut-off points chosen were 1.505 (sensitivity=85% and specificity=86%) for FIB-4 and -0.835 (sensitivity=100% and specificity=70%) for NFS, showing greater specificity than the cut-off points currently used (51% and 76%, respectively). The two cohorts exhibited similar characteristics and similar sensitivity and specificity results for the chosen cut-off points. CONCLUSIONS This study has shown cut-off points with greater specificity and excellent sensitivity to guide the indication for further liver evaluation by MRE in NAFLD patients.
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Affiliation(s)
- Louise Torres
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil; Department of Radiology, Hospital Moinhos de Vento, Porto Alegre 90035-000, Rio Grande do Sul, Brazil
| | - Alice Schuch
- Department of Radiology, Hospital Moinhos de Vento, Porto Alegre 90035-000, Rio Grande do Sul, Brazil
| | - Larisse Longo
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil
| | - Bruna Bressan Valentini
- Department of Radiology, Hospital Moinhos de Vento, Porto Alegre 90035-000, Rio Grande do Sul, Brazil
| | - Gabriela Schneider Galvão
- Department of Radiology, Hospital Moinhos de Vento, Porto Alegre 90035-000, Rio Grande do Sul, Brazil
| | - Eduardo Luchese
- Gastroenterology and Hepatology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre 90035-903, Rio Grande do Sul, Brazil
| | - Carlos Pinzon
- Gastroenterology and Hepatology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre 90035-903, Rio Grande do Sul, Brazil
| | - Rodrigo Bartels
- Department of Radiology, Hospital Moinhos de Vento, Porto Alegre 90035-000, Rio Grande do Sul, Brazil
| | - Mário Reis Álvares-da-Silva
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil; Gastroenterology and Hepatology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre 90035-903, Rio Grande do Sul, Brazil.
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Liu Y, Chai S, Zhang X. Association Between Different Parameters of Adipose Distribution and Transient Elastography-Assessed Hepatic Steatosis in American Adults with Diabetes, Prediabetes and Normal Glucose Tolerance. Diabetes Metab Syndr Obes 2023; 16:299-308. [PMID: 36760579 PMCID: PMC9900240 DOI: 10.2147/dmso.s394564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 12/22/2022] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE To investigate the association between adipose distribution and hepatic steatosis in American adults and to assess whether this association varies among different blood glucose states. METHODS Data from the American National Health and Nutrition Examination Survey (NHANES) 2017-2018 were analyzed. The subjects were divided into three groups: diabetes, prediabetes and normal glucose tolerance (NGT). Hepatic steatosis was quantified by median controlled attenuation parameter (CAP), which was measured by ultrasound transient elastography. Total abdominal fat volume, visceral adipose tissue (VAT) volume, total percent fat, trunk percent fat, android percent fat and android to gynoid ratio (AGR) was measured by dual-energy X-ray absorptiometry (DXA). RESULTS Data pertaining to 2986 participants (1581 with hepatic steatosis) were included in the analysis. In the NGT group, the proportion of S0 (<5% of the hepatocytes with fatty infiltration) was 58.9%, and 25.2% for S3 (≥66% of the hepatocytes with fatty infiltration). In contrast, the proportion of S0 was 11.1%, while S3 accounts for as high as 68.7% in the diabetes group. In the NGT group, all parameters of fat distribution revealed a positive relation with the occurrence of hepatic steatosis (p<0.05) except total percent fat (p=0.872) after adjusting for confounding factors. In the prediabetes group, VAT volume, trunk percent fat, android percent fat and AGR had significant influence on hepatic steatosis (p<0.05). As for diabetes, only AGR remained significantly correlated with hepatic steatosis (p=0.004). CONCLUSION For NGT individuals, high level of total abdominal fat volume, VAT volume, trunk percent fat, android percent fat and AGR all can be used to predict hepatic steatosis. For diabetes, only AGR can predict hepatic steatosis among the surveyed parameters of adipose distribution.
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Affiliation(s)
- Yufang Liu
- Department of Endocrinology, Peking University International Hospital, Beijing, 102206, People’s Republic of China
| | - Sanbao Chai
- Department of Endocrinology, Peking University International Hospital, Beijing, 102206, People’s Republic of China
| | - Xiaomei Zhang
- Department of Endocrinology, Peking University International Hospital, Beijing, 102206, People’s Republic of China
- Correspondence: Xiaomei Zhang, Email
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Herring WL, Gould IG, Wittrup-Jensen V, Ertle J, Kuti E, Wolowacz S. Evaluation of emerging NASH therapies: the impact of treatment efficacy profiles on long-term health outcomes. J Comp Eff Res 2022; 11:1349-1363. [PMID: 36317935 DOI: 10.2217/cer-2021-0194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Aim: Evaluations of nonalcoholic steatohepatitis (NASH) treatments require predicting lifetime outcomes from short-term clinical trials. Materials & methods: A Markov model with NASH fibrosis stages F0-F3, NASH resolution, compensated cirrhosis (F4/CC), and liver-related complication (LRC) states was developed using literature-based standard of care (SoC) data. Hypothetical efficacy profiles were defined affecting resolution (100%-increase), fibrosis improvement (100% increase), or fibrosis worsening (50% decrease). Results: For the SoC, 10-year LRC rates increased with baseline fibrosis stage (F1: 3.0%; F2: 9.8%; F3: 27.2%; F4/CC: 64.9%). The fibrosis worsening profile reduced predicted 10-year LRC rates (F1: 1.9%; F2: 6.5%; F3: 19.1%; F4/CC: 55.0%) more than the resolution and fibrosis improvement profiles (F1: 2.6%/2.6%; F2: 8.5%/8.3%; F3: 23.3%/23.0%; F4/CC: NA/59.0%). Scenario analyses considered alternative SoC progression, treatment efficacy and treatment-stopping rules. Conclusion: Potential NASH efficacy profiles have differing impacts on predicted long-term outcomes, providing insights for future stakeholders.
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Affiliation(s)
- William L Herring
- RTI Health Solutions, 3040 East Cornwallis Road, Research Triangle Park, NC 27709, USA
| | - Ian Gopal Gould
- RTI Health Solutions, 3040 East Cornwallis Road, Research Triangle Park, NC 27709, USA
| | - Villum Wittrup-Jensen
- Boehringer Ingelheim International GmbH, Binger Strasse 17, Ingelheim am Rhein, 55216, Germany
| | - Judith Ertle
- Boehringer Ingelheim International GmbH, Binger Strasse 17, Ingelheim am Rhein, 55216, Germany
| | - Effie Kuti
- Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT 06877, USA
| | - Sorrel Wolowacz
- RTI Health Solutions, Towers Business Park, Wilmslow Road, Manchester, M20 2RY, UK
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18
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Kechagias S, Ekstedt M, Simonsson C, Nasr P. Non-invasive diagnosis and staging of non-alcoholic fatty liver disease. Hormones (Athens) 2022; 21:349-368. [PMID: 35661987 PMCID: PMC9464753 DOI: 10.1007/s42000-022-00377-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/19/2022] [Indexed: 02/08/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is considered to be the hepatic manifestation of the metabolic syndrome and is characterized by ectopic accumulation of triglycerides in the cytoplasm of hepatocytes, i.e., steatosis. NAFLD has become the most common chronic liver disease, with an estimated global prevalence of 25%. Although the majority of NAFLD patients will never experience liver-related complications, the progressive potential of NAFLD is indisputable, with 5-10% of subjects progressing to cirrhosis, end-stage liver disease, or hepatocellular carcinoma. NAFLD patients with advanced fibrosis are at the highest risk of developing cardiovascular and cirrhosis-related complications. Liver biopsy has hitherto been considered the reference method for evaluation of hepatic steatosis and fibrosis stage. Given the limitations of biopsy for widescale screening, non-invasive tests (NITs) for assessment of steatosis and fibrosis stage, including serum-based algorithms and ultrasound- and magnetic resonance-based methods, will play an increasing role in the management of NAFLD patients. This comprehensive review presents the advantages and limitations of NITs for identification of steatosis and advanced fibrosis in NAFLD. The clinical implications of using NITs to identify and manage NAFLD patients are also discussed.
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Affiliation(s)
- Stergios Kechagias
- Department of Gastroenterology and Hepatology, University Hospital, Linköping, Sweden.
- Department of Health, Medical and Caring Sciences, Linköping University, Linköping, Sweden.
| | - Mattias Ekstedt
- Department of Gastroenterology and Hepatology, University Hospital, Linköping, Sweden
- Department of Health, Medical and Caring Sciences, Linköping University, Linköping, Sweden
| | - Christian Simonsson
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Department of Biomedical Engineering, Linköping University, Linköping, Sweden
| | - Patrik Nasr
- Department of Gastroenterology and Hepatology, University Hospital, Linköping, Sweden
- Department of Health, Medical and Caring Sciences, Linköping University, Linköping, Sweden
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19
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Wong RJ, Kachru N, Martinez DJ, Moynihan M, Ozbay AB, Gordon SC. Real-world Comorbidity Burden, Health Care Utilization, and Costs of Nonalcoholic Steatohepatitis Patients With Advanced Liver Diseases. J Clin Gastroenterol 2021; 55:891-902. [PMID: 32815873 PMCID: PMC8500367 DOI: 10.1097/mcg.0000000000001409] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 07/15/2020] [Indexed: 12/13/2022]
Abstract
GOALS This study evaluates the real-world comorbidity burden, health care resource utilization (HRU), and costs among nonalcoholic fatty liver disease/nonalcoholic steatohepatitis (NAFLD/NASH) patients with advanced liver diseases [compensated cirrhosis (CC), decompensated cirrhosis (DCC), liver transplantation (LT), hepatocellular carcinoma (HCC)]. BACKGROUND NAFLD/NASH is a leading cause of liver diseases. MATERIALS AND METHODS Adult NAFLD/NASH patients were identified retrospectively from MarketScan Commercial claims (2006-2016). Following initial NAFLD/NASH diagnosis, advanced liver diseases were identified using the first diagnosis as their index date. Mean annual all-cause HRU and costs (2016 USD) were reported. Adjusted costs were estimated through generalized linear models. Cumulative costs were illustrated for patient subsets with variable follow-up for each stage. RESULTS Within the database, 485,774 NAFLD/NASH patients met eligibility criteria. Of these, 93.4% (453,564) were NAFLD/NASH patients without advanced liver diseases, 1.6% (7665) with CC, 3.3% (15,833) with DCC, 0.1% (696) with LT, and 0.1% (428) with HCC. Comorbidity burden was high and increased as patients progressed through liver disease severity stages. Compared with NAFLD/NASH without advanced liver diseases (adjusted costs: $23,860), the annual cost of CC, DCC, LT, and HCC were 1.22, 5.64, 8.27, and 4.09 times higher [adjusted costs: $29,078, $134,448, $197,392, and $97,563 (P<0.0001)]. Inpatient admissions significantly drove increasing HRU. CONCLUSION Study findings suggest the need for early identification and effective management of NAFLD/NASH patients to minimize comorbidity burden, HRU, and costs in the privately insured US population.
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Affiliation(s)
- Robert J. Wong
- Division of Gastroenterology and Hepatology, Alameda Health System, Highland Hospital, Oakland
| | - Nandita Kachru
- Gilead Sciences Inc., Health Economics Outcomes Research, Foster City, CA
| | | | | | - A. Burak Ozbay
- Gilead Sciences Inc., Health Economics Outcomes Research, Foster City, CA
| | - Stuart C. Gordon
- Department of Gastroenterology and Hepatology, Henry Ford Hospital, Wayne State University School of Medicine, Detroit, MI
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20
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Jeon SK, Lee JM, Joo I, Yoon JH. Assessment of the inter-platform reproducibility of ultrasound attenuation examination in nonalcoholic fatty liver disease. Ultrasonography 2021; 41:355-364. [PMID: 34933319 PMCID: PMC8942738 DOI: 10.14366/usg.21167] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/31/2021] [Indexed: 12/02/2022] Open
Abstract
Purpose This study aimed to assess the inter-platform reproducibility of ultrasound attenuation examination in patients with nonalcoholic fatty liver disease (NAFLD). Methods Between March 2021 and April 2021, patients with clinically suspected or known NAFLD were prospectively enrolled; each patient underwent ultrasound attenuation examinations with three different platforms (Attenuation Imaging [ATI], Canon Medical System; Tissue Attenuation Imaging [TAI], Samsung Medison; and Ultrasound-Guided Attenuation Parameter [UGAP], GE Healthcare) on the same day. The mean attenuation coefficient (AC) values of the three platforms were compared using repeated-measures analysis of variance with the Bonferroni correction. To evaluate inter-platform reproducibility, the AC values obtained for each platform were compared using Bland-Altman analysis with the calculation of 95% limits of agreement (LOA), intraclass correlation coefficients (ICCs), and coefficients of variation (CVs). Results Forty-six patients (23 men; mean age±standard deviation, 52.3±12.4 years) were enrolled. The mean AC values showed significant differences among the three platforms (0.75±0.12, 0.80±0.11, and 0.74±0.09 dB/cm/MHz for ATI, TAI, and UGAP, respectively; P<0.001). For inter-platform reproducibility, the 95% LOAs were -0.22 to 0.11 dB/cm/MHz between ATI and TAI, -0.17 to 0.18 dB/cm/MHz between ATI and UGAP, and -0.08 to 0.20 dB/cm/MHz between TAI and UGAP, respectively. The pairwise ICCs were 0.790-0.797 in terms of absolute agreement among the three platforms; the CVs were 8.23%-9.47%. Conclusion The AC values obtained from different ultrasound attenuation examination platforms showed significant differences, with significant inter-platform variability. Therefore, the AC values measured using different ultrasound attenuation examination techniques should not be used interchangeably for longitudinal follow-up of patients with NAFLD.
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Affiliation(s)
- Sun Kyung Jeon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
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21
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Francque SM, Marchesini G, Kautz A, Walmsley M, Dorner R, Lazarus JV, Zelber-Sagi S, Hallsworth K, Busetto L, Frühbeck G, Dicker D, Woodward E, Korenjak M, Willemse J, Koek GH, Vinker S, Ungan M, Mendive JM, Lionis C. Non-alcoholic fatty liver disease: A patient guideline. JHEP Rep 2021; 3:100322. [PMID: 34693236 PMCID: PMC8514420 DOI: 10.1016/j.jhepr.2021.100322] [Citation(s) in RCA: 135] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 06/08/2021] [Indexed: 02/07/2023] Open
Abstract
This patient guideline is intended for all patients at risk of or living with non-alcoholic fatty liver disease (NAFLD). NAFLD is the most frequent chronic liver disease worldwide and comes with a high disease burden. Yet, there is a lot of unawareness. Furthermore, many aspects of the disease are still to be unravelled, which has an important impact on the information that is given (or not) to patients. Its management requires a close interaction between patients and their many healthcare providers. It is important for patients to develop a full understanding of NAFLD in order to enable them to take an active role in their disease management. This guide summarises the current knowledge relevant to NAFLD and its management. It has been developed by patients, patient representatives, clinicians and scientists and is based on current scientific recommendations, intended to support patients in making informed decisions.
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Key Words
- ALD, alcohol-related or alcoholic liver disease
- ASH, alcoholic steatohepatitis
- BMI, body mass index
- CAP, controlled attenuation parameter
- CT, computed tomography
- CVD, cardiovascular disease
- EASD, European Association for the Study of Diabetes
- EASL, European Association for the Study of the Liver
- EASO, European Association for the Study of Obesity
- FIB-4, fibrosis-4 index
- FXR, farnesoid X receptor
- GLP-1 RAs, glucagon-like receptor 1 agonists
- GP, general practitioner
- HCC, hepatocellular carcinoma
- HDL, high-density lipoprotein
- LDL, low-density lipoproteins
- MRE, magnetic resonance elastography
- MRI, magnetic resonance imaging
- NAFL, non-alcoholic fatty liver
- NAFLD, non-alcoholic fatty liver disease
- NASH CRN, NASH Clinical Research Network
- NASH, non-alcoholic steatohepatitis
- NIT, non-invasive test
- SMART, specific, measurable, achievable, relevant, timely
- T1D, type 1 diabetes
- T2D, type 2 diabetes
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Affiliation(s)
- Sven M. Francque
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium
- Laboratory of Experimental Medicine and Paediatrics (LEMP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- InflaMed Centre of Excellence, University of Antwerp, Antwerp, Belgium
- Translational Sciences in Inflammation and Immunology, University of Antwerp, Antwerp, Belgium
| | - Giulio Marchesini
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Italy
- Department of Medical and Surgical Sciences, “Alma Mater” University, Bologna, Italy
| | | | | | | | - Jeffrey V. Lazarus
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Spain
| | - Shira Zelber-Sagi
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
- Department of Gastroenterology and Hepatology, The Tel-Aviv Medical Center, Tel-Aviv, Israel
| | - Kate Hallsworth
- Newcastle NIHR Biomedical Research Centre, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Luca Busetto
- Department of Medicine, University of Padova, Italy
- European Association for the Study of Obesity
| | - Gema Frühbeck
- Department of Endocrinology & Nutrition, University of Navarra Clinic, IdiSNA, CIBEROBN, Pamplona, Spain
- European Association for the Study of Obesity
| | - Dror Dicker
- Department of Internal Medicine, Rabin Medical Center Hasharon Hospital, Tikva, Israel
- European Association for the Study of Obesity
| | | | | | | | - Gerardus H. Koek
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Maastricht University Medical Centre, Maastricht, the Netherlands
- School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Shlomo Vinker
- Department of Family Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- World Organization of Family Doctors (WONCA)
- European General Practice Research Network (EGPRN)
- Israel Association of Family Physicians, Israel
- Leumit Health Services, Tel Aviv, Israel
| | | | - Juan M. Mendive
- Training Unit of Family Medicine, Catalan Institute of Health, Barcelona, Spain
- European Society for Primary Care Gastroenterology
| | - Christos Lionis
- European Society for Primary Care Gastroenterology
- Clinic of Social and Family Medicine, School of Medicine, University of Crete, Heraklion, Greece
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22
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Dietrich CG, Rau M, Geier A. Screening for nonalcoholic fatty liver disease-when, who and how? World J Gastroenterol 2021; 27:5803-5821. [PMID: 34629804 PMCID: PMC8475001 DOI: 10.3748/wjg.v27.i35.5803] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/13/2021] [Accepted: 08/30/2021] [Indexed: 02/06/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is becoming a frequent liver disease, especially in patients with metabolic syndrome and especially in Western countries. Complications of NAFLD comprise progressive fibrosis, cirrhosis and hepatocellular carcinoma. NAFLD also represents an independent risk factor for cardiovascular disease, extrahepatic neoplasia and other organ damage, such as renal insufficiency. Given the epidemiological importance of the disease, new developments in specific treatment of the disease and the wide availability of noninvasive techniques in estimating steatosis and fibrosis, NAFLD should be subject to screening programs, at least in countries with a high prevalence of the disease. The review discusses prerequisites for screening, cost-effectiveness, current guideline recommendations, suitability of techniques for screening and propositions for the following questions: Who should be screened? Who should perform screening? How should screening be performed? It is time for a screening program in patients at risk for NAFLD.
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Affiliation(s)
- Christoph G Dietrich
- Department of Internal Medicine, Bethlehem Health Center, Stolberg 52222, Germany
| | - Monika Rau
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg 97080, Germany
| | - Andreas Geier
- Department of Medicine II, University Hospital Würzburg, Würzburg 97080, Germany
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23
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Dong B, Lyu G, Chen Y, Lin G, Wang H, Qin R, Gu J. Comparison of two-dimensional shear wave elastography, magnetic resonance elastography, and three serum markers for diagnosing fibrosis in patients with chronic hepatitis B: a meta-analysis. Expert Rev Gastroenterol Hepatol 2021; 15:1077-1089. [PMID: 33487039 DOI: 10.1080/17474124.2021.1880894] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Two-dimensional shear wave elastography (2D-SWE), magnetic resonance elastography (MRE), aspartate transaminase-to-platelet ratio index (APRI), fibrosis index based on 4 factors (FIB-4), and King's score have been proposed for diagnosing fibrosis. METHODS Literature databases were searched until October 1st, 2020. The summary area under the receiver operating characteristic curve (AUROC), the summary diagnostic odds ratios, and the summary sensitivities and specificities were used to assess the performance of these noninvasive methods for staging fibrosis. RESULTS Our final data contained 72 studies. The prevalence of significant fibrosis, advanced fibrosis, and cirrhosis was 58.3%, 36.2%, and 20.5%, respectively, in chronic hepatitis B (CHB). For 2D-SWE and MRE, the summary AUROCs were 0.89 and 0.97, 0.95 and 0.97, and 0.94 and 0.97 for significant fibrosis, advanced fibrosis, and cirrhosis, respectively. The summary AUROCs using APRI and FIB-4 for detecting significant fibrosis, advanced fibrosis, and cirrhosis were 0.76 and 0.75, 0.74 and 0.77, and 0.77 and 0.82, respectively. The summary AUROCs of King's score for detecting significant fibrosis and cirrhosis were 0.77 and 0.83, respectively. CONCLUSION MRE and 2D-SWE may show the best diagnostic accuracy for predicting fibrosis in CHB. Among the three serum markers, King's score may be more useful for diagnosing fibrosis.
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Affiliation(s)
- Bingtian Dong
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Guorong Lyu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.,Department of Clinical Medicine, Quanzhou Medical College, Quanzhou, Fujian Province, China
| | - Yuping Chen
- Department of Endocrinology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Guofu Lin
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Respirology Medicine Centre of Fujian Province, Quanzhou, Fujian Province, China
| | - Huaming Wang
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Ran Qin
- Department of Ultrasound, The Chenggong Hospital, Xiamen University, Xiamen, Fujian Province, China
| | - Jionghui Gu
- Department of Ultrasound, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
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24
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Alhinai A, Patel K, Fonseca VA, Sebastiani G. Non-invasive diagnosis of nonalcoholic fatty liver disease in patients with type 2 diabetes. J Diabetes Complications 2021; 35:107978. [PMID: 34183247 DOI: 10.1016/j.jdiacomp.2021.107978] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 05/19/2021] [Accepted: 06/12/2021] [Indexed: 02/07/2023]
Abstract
Liver disease has emerged as a significant cause of death in people with type 2 diabetes (T2D). Due to a common underlying pathogenic mechanism, namely insulin resistance, T2D represents the main risk factor for nonalcoholic fatty liver disease (NAFLD), characterized by a buildup of fat in the liver. Globally, NAFLD is the most common liver disease, affecting a quarter of the general adult population. The development of nonalcoholic steatohepatitis (NASH) signifies an increased risk of liver fibrosis progression that can result in cirrhosis, hepatocellular carcinoma (HCC), and death. Liver fibrosis progression and development of cirrhosis is mostly asymptomatic until complications from decompensated end-stage liver disease arise. Traditionally, liver biopsy is used to diagnose NASH and stage fibrosis, however, it is invasive and costly. Non-invasive diagnostic alternatives include serum biomarkers and imaging techniques. Early identification of advanced liver fibrosis is pivotal to prompt initiation of targeted surveillance, including screening for HCC, as well as providing options for current and investigational therapeutic interventions to reduce fibrosis progression. This review gives an update on non-invasive diagnostic tools for NAFLD and liver fibrosis in the specific context of T2D, providing clinicians a pragmatic diagnostic approach to this frequent comorbidity in diabetes medicine.
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Affiliation(s)
- Alshaima Alhinai
- Division of Experimental Medicine, McGill University, Montreal, QC, Canada
| | - Keyur Patel
- Division of Gastroenterology and Hepatology, University Health Network Toronto, Toronto General Hospital, Toronto, ON, Canada
| | - Vivian A Fonseca
- Department of Medicine, Division of Endocrinology and Metabolism, School of Medicine, Tulane University Health Sciences Center, New Orleans, LA, USA
| | - Giada Sebastiani
- Division of Experimental Medicine, McGill University, Montreal, QC, Canada; Division of Gastroenterology and Hepatology, McGill University Health Centre, Montreal, QC, Canada.
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25
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The role of fibrosis index FIB-4 in predicting liver fibrosis stage and clinical prognosis: A diagnostic or screening tool? J Formos Med Assoc 2021; 121:454-466. [PMID: 34325952 DOI: 10.1016/j.jfma.2021.07.013] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/09/2021] [Accepted: 07/12/2021] [Indexed: 12/14/2022] Open
Abstract
This review evaluates the ability of the fibrosis index based on four factors (FIB-4) identifying fibrosis stages, long-time prognosis in chronic liver disease, and short-time outcomes in acute liver injury. FIB-4 was accurate in predicting the absence or presence of advanced fibrosis with cut-offs of 1.0 and 2.65 for viral hepatitis B, 1.45 and 3.25 for viral hepatitis C, 1.30 (<65 years), 2.0 (≥65 years), and 2.67 for non-alcoholic fatty liver disease (NAFLD), respectively, but had a low-to-moderate accuracy in alcoholic liver disease (ALD) and autoimmune hepatitis. It performed better in excluding fibrosis, so we built an algorithm for identifying advanced fibrosis by combined methods and giving work-up and follow-up suggestions. High FIB-4 in viral hepatitis, NAFLD, and ALD was associated with significantly high hepatocellular carcinoma incidence and mortality. Additionally, FIB-4 showed the ability to predict high-risk varices with cut-offs of 2.87 and 3.91 in cirrhosis patients and predict long-term survival in hepatocellular carcinoma patients after hepatectomy. In acute liver injury caused by COVID-19, FIB-4 had a predictive value for mechanical ventilation and 30-day mortality. Finally, FIB-4 may act as a screening tool in the secondary prevention of NAFLD in the high-risk population.
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26
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Clinical and economic burden of nonalcoholic steatohepatitis in Saudi Arabia, United Arab Emirates and Kuwait. Hepatol Int 2021; 15:912-921. [PMID: 33822317 PMCID: PMC8382637 DOI: 10.1007/s12072-021-10182-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 03/17/2021] [Indexed: 02/07/2023]
Abstract
Background and aims The Middle East (ME) has a high prevalence of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH), driven by obesity and type-2 diabetes mellitus (T2DM). Studies in Saudi Arabia (KSA) and United Arab Emirates (UAE) predict an escalating impact of NAFLD/NASH, particularly advanced fibrosis due to NASH (AF-NASH), increasing cases of cirrhosis, liver cancer and death. The scale of this burden in other ME countries is unknown with no reports of NAFLD/NASH healthcare resource utilization (HCRU) or costs. We estimated the clinical and economic burden of NAFLD/NASH in KSA, UAE and Kuwait. Methods Markov models populated with country-specific obesity and T2DM prevalence data estimated numbers and progression of NAFLD/NASH patients from 2018 to 2030. Model inputs, assumptions and outputs were collected from literature, national statistics, and expert consensus. Results Over 13 years, the KSA model estimated cases increasing as follows: patients with fibrosis F0–3 doubled to 2.5 m, compensated and decompensated cirrhosis and hepatocellular carcinoma trebled to 212,000; liver failure or transplant patients increased four-fold to 4,086 and liver-related death escalated from < 10,000 to > 200,000. Similar trends occurred in UAE and Kuwait. Discounted lifetime costs of NASH standard-care increased totaling USD40.41 bn, 1.59 bn and 6.36 bn in KSA, UAE (Emiratis only) and Kuwait, respectively. NASH-related costs in 2019 comprised, respectively, 5.83%, 5.80% and 7.66% of national healthcare spending. Conclusions NASH, especially AF-NASH, should be considered a higher priority in ME Public Health policy. Our analyses should inform health policy makers to mitigate the enormity of this escalating regional burden. Supplementary Information The online version contains supplementary material available at 10.1007/s12072-021-10182-x.
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27
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Dokmak A, Lizaola-Mayo B, Trivedi HD. The Impact of Nonalcoholic Fatty Liver Disease in Primary Care: A Population Health Perspective. Am J Med 2021; 134:23-29. [PMID: 32931760 DOI: 10.1016/j.amjmed.2020.08.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/06/2020] [Accepted: 08/13/2020] [Indexed: 02/07/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the leading cause of liver disease worldwide, with rising rates in parallel to those of obesity, type 2 diabetes, and metabolic syndrome. NAFLD encompasses a wide spectrum of pathology from simple steatosis to nonalcoholic steatohepatitis (NASH) and cirrhosis, which are linked to poor outcomes. Studies confirm a significant amount of undiagnosed NAFLD and related fibrosis within the community, increasing the overall burden of the disease. NAFLD appears to be more prevalent in certain populations, such as those with type 2 diabetes and metabolic syndrome. Early detection and lifestyle modifications, including weight loss and regular exercise, have been shown to improve outcomes. Adverse cardiovascular events are a key contributor to NAFLD-associated morbidity and mortality, and efforts to minimize their occurrence are essential. A targeted and algorithmic approach using noninvasive diagnostic techniques is promptly required to identify and risk-stratify patients with NAFLD. Patients at low risk of progression to NASH and advanced fibrosis can be managed in the primary care setting, while those at high risk of disease progression should be referred to hepatology specialists for surveillance and treatment. This review summarizes the key data of NAFLD's impact within primary care populations and proposes a potential algorithmic approach to identifying and managing such patients.
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Affiliation(s)
- Amr Dokmak
- Department of Hospital Medicine, Catholic Medical Center, Manchester, NH
| | - Blanca Lizaola-Mayo
- Division of Gastroenterology and Hepatology, Mayo Clinic in Arizona, Scottsdale
| | - Hirsh D Trivedi
- Division of Gastroenterology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass.
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28
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Bashyam A, Frangieh CJ, Raigani S, Sogo J, Bronson RT, Uygun K, Yeh H, Ausiello DA, Cima MJ. A portable single-sided magnetic-resonance sensor for the grading of liver steatosis and fibrosis. Nat Biomed Eng 2020; 5:240-251. [PMID: 33257853 DOI: 10.1038/s41551-020-00638-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 09/28/2020] [Indexed: 12/19/2022]
Abstract
Low-cost non-invasive diagnostic tools for staging the progression of non-alcoholic chronic liver failure from fatty liver disease to steatohepatitis are unavailable. Here, we describe the development and performance of a portable single-sided magnetic-resonance sensor for grading liver steatosis and fibrosis using diffusion-weighted multicomponent T2 relaxometry. In a diet-induced mouse model of non-alcoholic fatty liver disease, the sensor achieved overall accuracies of 92% (Cohen's kappa, κ = 0.89) and 86% (κ = 0.78) in the ex vivo grading of steatosis and fibrosis, respectively. Localization of the measurements in living mice through frequency-dependent spatial encoding led to an overall accuracy of 87% (κ = 0.81) for the grading of steatosis. In human liver samples, the sensor graded steatosis with an overall accuracy of 93% (κ = 0.88). The use of T2 relaxometry as a sensitive measure in fully automated low-cost magnetic-resonance devices at the point of care would alleviate the accessibility and cost limits of magnetic-resonance imaging for diagnosing liver disease and assessing liver health before liver transplantation.
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Affiliation(s)
- Ashvin Bashyam
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.,Electrical Engineering & Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Chris J Frangieh
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.,Electrical Engineering & Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Siavash Raigani
- Division of Transplantation, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Jeremy Sogo
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.,Electrical Engineering & Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Roderick T Bronson
- Department of Microbiology and Immunobiology, Division of Immunology, Harvard Medical School, Boston, MA, USA
| | - Korkut Uygun
- Center for Engineering in Medicine and Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Heidi Yeh
- Division of Transplantation, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Dennis A Ausiello
- Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.,Center for Assessment Technology and Continuous Health, Massachusetts General Hospital, Boston, MA, USA
| | - Michael J Cima
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. .,Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
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Noureddin M, Jones C, Alkhouri N, Gomez EV, Dieterich DT, Rinella ME. Screening for Nonalcoholic Fatty Liver Disease in Persons with Type 2 Diabetes in the United States Is Cost-effective: A Comprehensive Cost-Utility Analysis. Gastroenterology 2020; 159:1985-1987.e4. [PMID: 32763241 DOI: 10.1053/j.gastro.2020.07.050] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 07/24/2020] [Accepted: 07/30/2020] [Indexed: 02/08/2023]
Affiliation(s)
- Mazen Noureddin
- Division of Digestive and Liver Diseases, Comprehensive Transplant Center, Cedars Sinai Medical Center, Los Angeles, California.
| | - Calum Jones
- Health Economics, McCann Health, Glasgow, United Kingdom
| | - Naim Alkhouri
- Texas Liver Institute, University of Texas Health San Antonio, San Antonio, Texas
| | - Eduardo Vilar Gomez
- Division of Gastroenterology/Hepatology, Indiana University, Indianapolis, Indiana
| | - Douglas T Dieterich
- Division of Liver Disease, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Mary E Rinella
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
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Benhammou JN, Lin J, Hussain SK, El-Kabany M. Emerging risk factors for nonalcoholic fatty liver disease associated hepatocellular carcinoma. HEPATOMA RESEARCH 2020; 6:35. [PMID: 32685690 PMCID: PMC7367098 DOI: 10.20517/2394-5079.2020.16] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Worldwide, nonalcoholic fatty liver disease (NAFLD) has reached epidemic proportions and in parallel, hepatocellular carcinoma (HCC) has become one of the fastest growing cancers. Epidemiological studies have not only shed light on the prevalence and incidence of the disease but have also unmasked important environmental risk factors, including the role of diabetes and dyslipidemia in disease pathogenesis. Genetic association studies have identified single nucleotide polymorphisms implicated in NAFLD-HCC, many of which are part of lipid metabolism pathways. Through these clinical studies and subsequently, translational and basic research, the role of statins as a chemoprotective agent has also emerged with ongoing clinical trials assessing their utility in HCC prevention and treatment. In this review, we summarize the recent epidemiological studies describing the burden of NAFLD-HCC in different patient populations and countries. We discuss the genetic and environmental risk factors for NAFLD-HCC and highlight the chemoprotective role of statins and aspirin. We also summarize what is known about NAFLD-HCC in the cirrhosis and non-cirrhosis populations and briefly address the role of surveillance in NAFLD-HCC patients.
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Affiliation(s)
- Jihane N. Benhammou
- Pfleger Liver Institute, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Jonathan Lin
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Shehnaz K. Hussain
- Department of Epidemiology, Fielding School of Public Health, University of California, CA 90095, USA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Mohamed El-Kabany
- Pfleger Liver Institute, University of California Los Angeles, Los Angeles, CA 90095, USA
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Petta S, Ting J, Saragoni S, Degli Esposti L, Shreay S, Petroni ML, Marchesini G. Healthcare resource utilization and costs of nonalcoholic steatohepatitis patients with advanced liver disease in Italy. Nutr Metab Cardiovasc Dis 2020; 30:1014-1022. [PMID: 32423665 DOI: 10.1016/j.numecd.2020.02.016] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/21/2020] [Accepted: 02/24/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIMS Nonalcoholic steatohepatitis (NASH) may progress to advanced liver disease (AdvLD). This study characterized comorbidities, healthcare resource utilization (HCRU) and associated costs among hospitalized patients with AdvLD due to NASH in Italy. METHODS AND RESULTS Adult nonalcoholic fatty liver disease (NAFLD)/NASH patients from 2011 to 2017 were identified from administrative databases of Italian local health units using ICD-9-CM codes. Development of compensated cirrhosis (CC), decompensated cirrhosis (DCC), hepatocellular carcinoma (HCC), or liver transplant (LT) was identified using first diagnosis date for each severity cohort (index-date). Patients progressing to multiple disease stages were included in >1 cohort. Patients were followed from index-date until the earliest of disease progression, end of coverage, death, or end of study. Within each cohort, per member per month values were annualized to calculate all-cause HCRU or costs(€) in 2017. Of the 9,729 hospitalized NAFLD/NASH patients identified, 97% were without AdvLD, 1.3% had CC, 3.1% DCC, 0.8% HCC, 0.1% LT. Comorbidity burden was high across all cohorts. Mean annual number of inpatient services was greater in patients with AdvLD than without AdvLD. Similar trends were observed in outpatient visits and pharmacy fills. Mean total annual costs increased with disease severity, driven primarily by inpatient services costs. CONCLUSION NAFLD/NASH patients in Italy have high comorbidity burden. AdvLD patients had significantly higher costs. The higher prevalence of DCC compared to CC in this population may suggest challenges of effectively screening and identifying NAFLD/NASH patients. Early identification and effective management are needed to reduce risk of disease progression and subsequent HCRU and costs.
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Affiliation(s)
- Salvatore Petta
- Section of Gastroenterology and Hepatology, PROMISE, University of Palermo, Palermo, Italy.
| | - Jie Ting
- Gilead Sciences, Inc., Health Economics & Outcomes Research, Foster City, CA, USA
| | | | | | - Sanatan Shreay
- Gilead Sciences, Inc., Health Economics & Outcomes Research, Foster City, CA, USA
| | - Maria Letizia Petroni
- Department of Medical and Surgical Sciences, "Alma Mater" University, Bologna, Italy
| | - Giulio Marchesini
- Department of Medical and Surgical Sciences, "Alma Mater" University, Bologna, Italy
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Johansen P, Howard D, Bishop R, Moreno SI, Buchholtz K. Systematic Literature Review and Critical Appraisal of Health Economic Models Used in Cost-Effectiveness Analyses in Non-Alcoholic Steatohepatitis: Potential for Improvements. PHARMACOECONOMICS 2020; 38:485-497. [PMID: 31919793 DOI: 10.1007/s40273-019-00881-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
BACKGROUND Non-alcoholic steatohepatitis (NASH) is a severe, typically progressive form of non-alcoholic fatty liver disease (NAFLD). The global prevalence of NASH is increasing, driven partly by the global increase in obesity and type 2 diabetes mellitus (T2DM), such that NASH is now a leading cause of cirrhosis. There is currently an unmet clinical need for efficacious and cost-effective treatments for NASH; no pharmacologic agents have an approved indication for NASH. OBJECTIVE Our objective was to summarise and critically appraise published health economic models of NASH, to evaluate their quality and suitability for use in the assessment of novel treatments for NASH, and to identify knowledge gaps, challenges and opportunities for future modelling. METHODS A systematic literature review was performed using the MEDLINE, Embase, Cochrane Library and EconLit databases to identify published health economic analyses in patients with NAFLD or NASH. Supplementary hand searches of grey literature were also performed. Articles published up to November 2019 were included in the review. Quality assessment of identified studies was also performed. RESULTS A total of 19 articles comprising 16 unique models including either NAFLD as a whole or NASH alone were included in the review. Structurally, most models had a state-transition component; in terms of health states, two different approaches to early disease states were used, modelling either progression through fibrosis stages or NAFLD/NASH-specific health states. Conditions that frequently co-exist with NASH, such as obesity, T2DM and cardiovascular disease were not captured in models identified here. Late-stage complications such as cirrhosis, decompensated cirrhosis and hepatocellular carcinoma were consistently included, but input data (e.g. costs, utilities and transition probabilities) for late-stage complications were frequently sourced from other liver disease areas. The quality of included studies was heterogenous, and only a small proportion of studies reported internal and external validation processes. CONCLUSION The health economic models identified in this review are associated with limitations primarily driven by a lack of NASH-specific data. Identified models also largely overlooked the intricate association between NASH and other conditions, including obesity and T2DM, and did not capture the increased risk of cardiovascular events associated with NASH. High-quality, transparent, validated health economic models of NASH will be required to evaluate the cost effectiveness of treatments currently in development, particularly compounds that may target other non-hepatic outcomes.
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Xu XY, Wang WS, Zhang QM, Li JL, Sun JB, Qin TT, Liu HB. Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis. World J Clin Cases 2019; 7:2022-2037. [PMID: 31423434 PMCID: PMC6695542 DOI: 10.12998/wjcc.v7.i15.2022] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 06/25/2019] [Accepted: 07/03/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Noninvasive biomarkers have been developed to predict hepatitis B virus (HBV) related fibrosis owing to the significant limitations of liver biopsy. Both serum biomarkers and imaging techniques have shown promising results and may improve the evaluation of liver fibrosis. However, most of the previous studies focused on the diagnostic effects of various imaging techniques on fibrosis in all chronic liver diseases.
AIM To compare the performance of common imaging methods and serum biomarkers for prediction of significant fibrosis caused only by HBV infection.
METHODS A systematic review was conducted on the records available in PubMed, EMBASE, and the Cochrane Library electronic databases until December 2018. We systematically assessed the effectiveness of two serum biomarkers and three imagine techniques in predicting significant fibrosis solely caused by HBV infection. The serum biomarkers included aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis index based on the 4 factors (FIB-4). The three imaging techniques included acoustic radiation force impulse (ARFI), FibroScan, and magnetic resonance elastography (MRE). Three parameters, the area under the summary receiver operating characteristic curve (AUSROC), the summary diagnostic odds ratio, and the summary sensitivity and specificity, were used to examine the accuracy of all tests for liver fibrosis.
RESULTS Out of 2831 articles evaluated for eligibility, 204 satisfied the predetermined inclusion criteria for this current meta-analysis. Eventually, our final data contained 81 studies. The AUSROCs of serum biomarkers of APRI and FIB-4 were both 0.75. For imaging techniques (ARFI, FibroScan, and MRE), the areas were 0.89, 0.83, and 0.97, respectively. The heterogeneities of ARFI and FibroScan were statistically significant (I2 > 50%). The publication bias was not observed in any of the serum biomarkers or imaging methods.
CONCLUSION These five methods have attained an acceptable level of diagnostic accuracy. Imaging techniques, MRE in particular, demonstrate significant advantages in accurately predicting HBV-related significant fibrosis, while serum biomarkers are admissible methods.
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Affiliation(s)
- Xue-Ying Xu
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang 110122, Liaoning Province, China
| | - Wu-Sheng Wang
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang 110122, Liaoning Province, China
| | - Qi-Meng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang 110122, Liaoning Province, China
| | - Jun-Ling Li
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang 110122, Liaoning Province, China
| | - Jin-Bin Sun
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang 110122, Liaoning Province, China
| | - Tian-Tian Qin
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang 110122, Liaoning Province, China
| | - Hong-Bo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang 110122, Liaoning Province, China
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Lefebvre T, Wartelle-Bladou C, Wong P, Sebastiani G, Giard JM, Castel H, Murphy-Lavallée J, Olivié D, Ilinca A, Sylvestre MP, Gilbert G, Gao ZH, Nguyen BN, Cloutier G, Tang A. Prospective comparison of transient, point shear wave, and magnetic resonance elastography for staging liver fibrosis. Eur Radiol 2019; 29:6477-6488. [PMID: 31278577 DOI: 10.1007/s00330-019-06331-4] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 05/16/2019] [Accepted: 06/13/2019] [Indexed: 02/08/2023]
Abstract
OBJECTIVES To perform head-to-head comparisons of the feasibility and diagnostic performance of transient elastography (TE), point shear-wave elastography (pSWE), and magnetic resonance elastography (MRE). METHODS This prospective, cross-sectional, dual-center imaging study included 100 patients with known or suspected chronic liver disease caused by hepatitis B or C virus, nonalcoholic fatty liver disease, or autoimmune hepatitis identified between 2014 and 2018. Liver stiffness measured with the three elastographic techniques was obtained within 6 weeks of a liver biopsy. Confounding effects of inflammation and steatosis on association between fibrosis and liver stiffness were assessed. Obuchowski scores and AUCs for staging fibrosis were evaluated and the latter were compared using the DeLong method. RESULTS TE, pSWE, and MRE were technically feasible and reliable in 92%, 79%, and 91% subjects, respectively. At univariate analysis, liver stiffness measured by all techniques increased with fibrosis stages and inflammation and decreased with steatosis. For classification of dichotomized fibrosis stages, the AUCs were significantly higher for distinguishing stages F0 vs. ≥ F1 with MRE than with TE (0.88 vs. 0.71; p < 0.05) or pSWE (0.88 vs. 0.73; p < 0.05), and for distinguishing stages ≤ F1 vs. ≥ F2 with MRE than with TE (0.85 vs. 0.75; p < 0.05). TE, pSWE, and MRE Obuchowski scores for staging fibrosis stages were respectively 0.89 (95% CI 0.85-0.93), 0.90 (95% CI 0.85-0.94), and 0.94 (95% CI 0.91-0.96). CONCLUSION MRE provided a higher diagnostic performance than TE and pSWE for staging early stages of liver fibrosis. TRIAL REGISTRATION NCT02044523 KEY POINTS: • The technical failure rate was similar between MRE and US-based elastography techniques. • Liver stiffness measured by MRE and US-based elastography techniques increased with fibrosis stages and inflammation and decreased with steatosis. • MRE provided a diagnostic accuracy higher than US-based elastography techniques for staging of early stages of histology-determined liver fibrosis.
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Affiliation(s)
- Thierry Lefebvre
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Canada.,Medical Physics Unit, McGill University, Montreal, Canada
| | - Claire Wartelle-Bladou
- Department of Medicine, Division of Hepatology and Liver Transplantation, Université de Montréal, Montreal, Canada
| | - Philip Wong
- Department of Medicine, Division of Gastroenterology and Hepatology, McGill University Health Centre (MUHC), Montreal, Canada
| | - Giada Sebastiani
- Department of Medicine, Division of Gastroenterology and Hepatology, McGill University Health Centre (MUHC), Montreal, Canada
| | - Jeanne-Marie Giard
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Canada.,Department of Medicine, Division of Hepatology and Liver Transplantation, Université de Montréal, Montreal, Canada
| | - Hélène Castel
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Canada.,Department of Medicine, Division of Hepatology and Liver Transplantation, Université de Montréal, Montreal, Canada
| | - Jessica Murphy-Lavallée
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Canada
| | - Damien Olivié
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Canada
| | - André Ilinca
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Canada
| | - Marie-Pierre Sylvestre
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Canada.,Department of Social and Preventive Medicine, École de santé publique de l'Université de Montréal (ESPUM), Montreal, Canada
| | - Guillaume Gilbert
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Canada.,MR Clinical Science, Philips Healthcare Canada, Markham, Canada
| | - Zu-Hua Gao
- Department of Pathology, McGill University, Montreal, Canada
| | - Bich N Nguyen
- Service of Pathology, Centre hospitalier de l'Université de Montréal (CHUM), Montreal, Canada
| | - Guy Cloutier
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Canada.,Institute of Biomedical Engineering, Université de Montréal, Montreal, Canada.,Laboratory of Biorheology and Medical Ultrasonics (LBUM), Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Canada
| | - An Tang
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Canada. .,Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Canada. .,Institute of Biomedical Engineering, Université de Montréal, Montreal, Canada.
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Povsic M, Wong OY, Perry R, Bottomley J. A Structured Literature Review of the Epidemiology and Disease Burden of Non-Alcoholic Steatohepatitis (NASH). Adv Ther 2019; 36:1574-1594. [PMID: 31065991 PMCID: PMC6824389 DOI: 10.1007/s12325-019-00960-3] [Citation(s) in RCA: 100] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Non-Alcoholic Steatohepatitis (NASH) is a chronic, progressive disease characterized by fatty liver and liver cell injury, advancing to fibrosis, cirrhosis and hepatocellular carcinoma (HCC). Diagnosis involves liver biopsy; however, as a result of its high cost and invasiveness, NASH remains underdiagnosed, and accurate burden of disease (BoD) data are lacking. Our aim was to understand the epidemiological and BoD landscape in NASH and identify knowledge gaps. METHODS The Ovid search engine was used to conduct a structured review, following quality systematic principles. It included publications that reported on epidemiology, quality of life (QoL) and BoD outcomes in NASH adults. Searches were limited to English language studies published between January 2007 and September 2017. Additional grey literature searches were conducted. A total of 53 references were selected; 38 were peer-reviewed and 15 were grey literature sources. RESULTS NASH is estimated to affect 3-5% of the global population, most suffering from several comorbidities. Advancing fibrosis drives clinical outcomes, with approximately 20% of patients developing cirrhosis and/or HCC, the latter being a leading cause of death in NASH. A recent model predicted the 15-year survival of advanced fibrosis patients at F3 and F4 as 51.0% and 28.4%, respectively. The limited data consistently show that NASH patients experience significantly poorer QoL and higher costs compared to non-NASH patients. CONCLUSION This first broad-ranging examination of NASH literature revealed a paucity of evidence, with poor-quality, small studies found. The overwhelming impact of NASH and its patient and healthcare burden is evident. Further evidence is needed to improve our understanding of NASH, especially as fibrosis stages advance. FUNDING Gilead Science Inc.
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Culafic M, Vezmar Kovacevic S, Dopsaj V, Stulic M, Vlaisavljevic Z, Miljkovic B, Culafic D. A Simple Index for Nonalcoholic Steatohepatitis-HUFA-Based on Routinely Performed Blood Tests. ACTA ACUST UNITED AC 2019; 55:medicina55060243. [PMID: 31163711 PMCID: PMC6631799 DOI: 10.3390/medicina55060243] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2019] [Revised: 05/28/2019] [Accepted: 05/30/2019] [Indexed: 02/06/2023]
Abstract
Background and objectives: Data suggests that nearly 30% of the general population have steatosis and up to 5% of this population develops nonalcoholic steatohepatitis (NASH). Liver biopsy is still considered to be the gold standard for the diagnosis of NASH. Great effort is being made toward the identification of sensitive diagnostic tests that do not involve invasive procedures to address a common concern in patients with the nonalcoholic fatty liver disease—whether they have NASH or simple steatosis. We aimed to investigate the independent predictors and develop a non-invasive, easy-to-perform, low-cost set of parameters that may be used in clinical practice to differentiate simple steatosis from NASH. Methods: А cross-sectional study of nonalcoholic fatty liver disease (NAFLD) patients divided into two groups: group I—simple steatosis (SS) and group II—biopsy-proven NASH. Strict inclusion criteria and stepwise analysis allowed the evaluation of a vast number of measured/estimated parameters. Results: One hundred and eleven patients were included—82 with simple steatosis and 29 with biopsy-proven NASH. The probability of NASH was the highest when homeostatic model assessment of insulin resistance (HOMA-IR) was above 2.5, uric acid above 380 µmol/L, ferritin above 100 µg/L and ALT above 45 U/L. An acronym of using first letters was created and named the HUFA index. This combined model resulted in an area under the receiver operator characteristic curve (AUROC) of 0.94, provided sensitivity, specificity, positive predictive value and a negative predictive value for NASH of 70.3%, 95.1%, 83.1% and 90.0%, respectively. Conclusion: We suggest a simple non-invasive predictive index HUFA that encompasses four easily available parameters (HOMA-IR, uric acid, ferritin and ALT) to identify patients with NASH, which may reduce the need for a liver biopsy on a routine basis in patients with NAFLD.
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Affiliation(s)
- Milica Culafic
- Department of Pharmacokinetics and Clinical Pharmacy, Faculty of Pharmacy, University of Belgrade, 11000 Belgrade, Serbia.
- Clinic for Gastroenterology and Hepatology, Clinical Centre of Serbia, School of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
| | - Sandra Vezmar Kovacevic
- Department of Pharmacokinetics and Clinical Pharmacy, Faculty of Pharmacy, University of Belgrade, 11000 Belgrade, Serbia.
| | - Violeta Dopsaj
- Department of Medical Biochemistry, Clinical Centre of Serbia, Faculty of Pharmacy, University of Belgrade, 11000 Belgrade, Serbia.
| | - Milos Stulic
- Clinic for Gastroenterology and Hepatology, Clinical Centre of Serbia, School of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
| | - Zeljko Vlaisavljevic
- Clinic for Gastroenterology and Hepatology, Clinical Centre of Serbia, School of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
| | - Branislava Miljkovic
- Department of Pharmacokinetics and Clinical Pharmacy, Faculty of Pharmacy, University of Belgrade, 11000 Belgrade, Serbia.
| | - Djordje Culafic
- Clinic for Gastroenterology and Hepatology, Clinical Centre of Serbia, School of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
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A cut-off value of shear wave speed to distinguish nonalcoholic steatohepatitis candidates. Medicine (Baltimore) 2019. [PMID: 30633176 DOI: 10.1097/md.0000000000013958]] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
To distinguish and characterize nonalcoholic steatohepatitis (NASH) candidates from among medical checkup visitor diagnosed with nonalcoholic fatty liver diseases (mcNAFLDs).A cut-off value has not been established to differentiate NASH at the earliest stage in NAFLD.Shear wave speed (SWS) was measured in the livers of 480 mcNAFLDs. NASH candidates were screened out by adopting a statistically defined cut-off value of SWS and were characterized in terms of food preference.SWS ranged between 1.11 and 2.18 m/s and fit a Gaussian distribution (r = 0.98) with an average and SD of 1.324 and 0.0847 m/s, respectively, in 320/160 males/females 64.4 (interquartile range 57.3-69.4) years old. The average plus SD (1.41 m/s) screened out 82 (17.1%) NASH candidates, who were significantly older (66.8 vs. 64.1 years old, P = 0.001) and had higher fibrosis 4 index values (1.58 vs. 1.33, P < 0.0001) than the remaining mcNAFLDs. The number of patients with a BMI greater than 25 kg/m was 118 (29.6%) mcNAFLDs and 34 (41.5%) NASH candidates, with a significantly higher frequency in NASH candidates (P = 0.05). Obese patients preferentially ate fatty acids in general, while NASH candidates preferred to consume several long-chain unsaturated fatty acids irrespective of their BMI.These results suggest that NASH candidates who have a longer disease duration and pathological progression can be distinguished from mcNAFLDs by a statistically defined cut-off value of SWS. The defined value indicates that there are different food habitats associated with obesity and NAFLD progression.
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Suda T, Kanefuji T, Abe A, Nagayama I, Hoshi T, Morita S, Yagi K, Hatakeyama S, Hayatsu M, Hasegawa N, Terai S. A cut-off value of shear wave speed to distinguish nonalcoholic steatohepatitis candidates. Medicine (Baltimore) 2019; 98:e13958. [PMID: 30633176 PMCID: PMC6336588 DOI: 10.1097/md.0000000000013958] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 11/23/2018] [Accepted: 12/11/2018] [Indexed: 02/07/2023] Open
Abstract
To distinguish and characterize nonalcoholic steatohepatitis (NASH) candidates from among medical checkup visitor diagnosed with nonalcoholic fatty liver diseases (mcNAFLDs).A cut-off value has not been established to differentiate NASH at the earliest stage in NAFLD.Shear wave speed (SWS) was measured in the livers of 480 mcNAFLDs. NASH candidates were screened out by adopting a statistically defined cut-off value of SWS and were characterized in terms of food preference.SWS ranged between 1.11 and 2.18 m/s and fit a Gaussian distribution (r = 0.98) with an average and SD of 1.324 and 0.0847 m/s, respectively, in 320/160 males/females 64.4 (interquartile range 57.3-69.4) years old. The average plus SD (1.41 m/s) screened out 82 (17.1%) NASH candidates, who were significantly older (66.8 vs. 64.1 years old, P = 0.001) and had higher fibrosis 4 index values (1.58 vs. 1.33, P < 0.0001) than the remaining mcNAFLDs. The number of patients with a BMI greater than 25 kg/m was 118 (29.6%) mcNAFLDs and 34 (41.5%) NASH candidates, with a significantly higher frequency in NASH candidates (P = 0.05). Obese patients preferentially ate fatty acids in general, while NASH candidates preferred to consume several long-chain unsaturated fatty acids irrespective of their BMI.These results suggest that NASH candidates who have a longer disease duration and pathological progression can be distinguished from mcNAFLDs by a statistically defined cut-off value of SWS. The defined value indicates that there are different food habitats associated with obesity and NAFLD progression.
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Affiliation(s)
- Takeshi Suda
- Department of Gastroenterology and Hepatology, Uonuma Institute of Community Medicine, Niigata University
| | - Tsutomu Kanefuji
- Department of Gastroenterology and Hepatology, Uonuma Institute of Community Medicine, Niigata University
| | | | - Itsuo Nagayama
- Department of Gastroenterology and Hepatology, Uonuma Institute of Community Medicine, Niigata University
| | - Takahiro Hoshi
- Department of Gastroenterology and Hepatology, Uonuma Institute of Community Medicine, Niigata University
| | - Shinichi Morita
- Department of Gastroenterology and Hepatology, Uonuma Institute of Community Medicine, Niigata University
| | - Kazuyoshi Yagi
- Department of Gastroenterology and Hepatology, Uonuma Institute of Community Medicine, Niigata University
| | | | | | | | - Shuji Terai
- Division of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
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Tang A, Destrempes F, Kazemirad S, Garcia-Duitama J, Nguyen BN, Cloutier G. Quantitative ultrasound and machine learning for assessment of steatohepatitis in a rat model. Eur Radiol 2018; 29:2175-2184. [PMID: 30560362 DOI: 10.1007/s00330-018-5915-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 10/29/2018] [Accepted: 11/23/2018] [Indexed: 12/13/2022]
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Vreman RA, Goodell AJ, Rodriguez LA, Porco TC, Lustig RH, Kahn JG. Health and economic benefits of reducing sugar intake in the USA, including effects via non-alcoholic fatty liver disease: a microsimulation model. BMJ Open 2017; 7:e013543. [PMID: 28775179 PMCID: PMC5577881 DOI: 10.1136/bmjopen-2016-013543] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Revised: 06/20/2017] [Accepted: 06/21/2017] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES Excessive consumption of added sugars in the human diet has been associated with obesity, type 2 diabetes (T2D), coronary heart disease (CHD) and other elements of the metabolic syndrome. Recent studies have shown that non-alcoholic fatty liver disease (NAFLD) is a critical pathway to metabolic syndrome. This model assesses the health and economic benefits of interventions aimed at reducing intake of added sugars. METHODS Using data from US National Health Surveys and current literature, we simulated an open cohort, for the period 2015-2035. We constructed a microsimulation model with Markov chains for NAFLD (including steatosis, non-alcoholic steatohepatitis (NASH), cirrhosis and hepatocellular carcinoma (HCC)), body mass index, T2D and CHD. We assessed reductions in population disease prevalence, disease-attributable disability-adjusted life years (DALYs) and costs, with interventions that reduce added sugars consumption by either 20% or 50%. FINDINGS The model estimated that a 20% reduction in added sugars intake will reduce prevalence of hepatic steatosis, NASH, cirrhosis, HCC, obesity, T2D and CHD. Incidence of T2D and CHD would be expected to decrease by 19.9 (95% CI 12.8 to 27.0) and 9.4 (95% CI 3.1 to 15.8) cases per 100 000 people after 20 years, respectively. A 20% reduction in consumption is also projected to annually avert 0.767 million (M) DALYs (95% CI 0.757M to 0.777M) and a total of US$10.3 billion (B) (95% CI 10.2B to 10.4B) in discounted direct medical costs by 2035. These effects increased proportionally when added sugars intake were reduced by 50%. CONCLUSIONS The decrease in incidence and prevalence of disease is similar to results in other models, but averted costs and DALYs were higher, mainly due to inclusion of NAFLD and CHD. The model suggests that efforts to reduce consumption of added sugars may result in significant public health and economic benefits.
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Affiliation(s)
- Rick A Vreman
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, California, USA
| | - Alex J Goodell
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, California, USA
| | - Luis A Rodriguez
- Department of Epidemiology & Biostatistics, University of California, San Francisco, California, USA
| | - Travis C Porco
- Department of Epidemiology & Biostatistics, University of California, San Francisco, California, USA
- FI Proctor Foundation for Research in Ophthalmology, University of California, San Francisco, California, USA
| | - Robert H Lustig
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, California, USA
- Department of Pediatrics, University of California San Francisco, San Francisco, California, USA
| | - James G Kahn
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, California, USA
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Klebanoff MJ, Corey KE, Chhatwal J, Kaplan LM, Chung RT, Hur C. Bariatric surgery for nonalcoholic steatohepatitis: A clinical and cost-effectiveness analysis. Hepatology 2017; 65:1156-1164. [PMID: 27880977 DOI: 10.1002/hep.28958] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Revised: 10/11/2016] [Accepted: 11/18/2016] [Indexed: 12/14/2022]
Abstract
UNLABELLED Nonalcoholic steatohepatitis (NASH) affects 2%-3% of the US population and is expected to become the leading indication for liver transplantation in the next decade. Bariatric surgery may be an effective but expensive treatment for NASH. Using a state-transition model, our analysis assessed the effectiveness and cost-effectiveness of surgery to manage NASH. We simulated the benefits and harms of laparoscopic Roux-en-Y gastric bypass surgery in patients defined by weight class (overweight, mild obesity, moderate obesity, and severe obesity) and fibrosis stage (F0-F3). Comparators included intensive lifestyle intervention (ILI) and no treatment. Quality-adjusted life years (QALYs), costs, and incremental cost-effectiveness ratios were calculated. Our results showed that surgery and ILI in obese patients (with F0-F3) increased QALYs by 0.678-2.152 and 0.452-0.618, respectively, compared with no treatment. Incremental cost-effectiveness ratios for surgery in all F0-F3 patients with mild, moderate, or severe obesity were $48,836/QALY, $24,949/QALY, and $19,222/QALY, respectively. In overweight patients (with F0-F3), surgery increased QALYs by 0.050-0.824 and ILI increased QALYs by 0.031-0.164. In overweight patients, it was cost-effective to reserve treatment only for F3 patients; the incremental cost-effectiveness ratios for providing surgery or ILI only to F3 patients were $30,484/QALY and $25,367/QALY, respectively. CONCLUSIONS Surgery was both effective and cost-effective for obese patients with NASH, regardless of fibrosis stage; in overweight patients, surgery increased QALYs for all patients regardless of fibrosis stage, but was cost-effective only for patients with F3 fibrosis; our results highlight the promise of bariatric surgery for treating NASH and underscore the need for clinical trials in this area. (Hepatology 2017;65:1156-1164).
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Affiliation(s)
- Matthew J Klebanoff
- Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA.,Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA.,Yale University School of Medicine, New Haven, CT
| | - Kathleen E Corey
- Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Jagpreet Chhatwal
- Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA.,Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Lee M Kaplan
- Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Raymond T Chung
- Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Chin Hur
- Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA.,Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA.,Harvard Medical School, Boston, MA
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Vizuete J, Camero A, Malakouti M, Garapati K, Gutierrez J. Perspectives on Nonalcoholic Fatty Liver Disease: An Overview of Present and Future Therapies. J Clin Transl Hepatol 2017; 5:67-75. [PMID: 28507929 PMCID: PMC5411359 DOI: 10.14218/jcth.2016.00061] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Revised: 02/10/2017] [Accepted: 02/15/2017] [Indexed: 12/12/2022] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) represents a major public health epidemic. Pharmacologic therapies for this condition are scarce, but multiple agents with novel mechanisms of action are in development. Here we review the pathophysiology and natural history of NALFD, diagnostic testing and data for currently available treatment strategies. We then turn our attention to promising developmental drugs and their respective trials. As the prevalence of fatty liver disease increases, clinicians will have more tools at hand for management of this condition. We conclude the horizon is bright for patients and doctors who deal with NAFLD.
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Affiliation(s)
- John Vizuete
- Department of Medicine, Division of Gastroenterology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Alfredo Camero
- Department of Medicine, Division of Gastroenterology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Mazyar Malakouti
- Department of Medicine, Division of Gastroenterology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Karthik Garapati
- Department of Medicine, Division of Gastroenterology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Julio Gutierrez
- Department of Medicine, Division of Gastroenterology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
- The Texas Liver Institute, San Antonio, TX, USA
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Kazemirad S, Zhang E, Nguyen BN, Bodson-Clermont P, Destrempes F, Trudel D, Cloutier G, Tang A. Detection of Steatohepatitis in a Rat Model by Using Spectroscopic Shear-Wave US Elastography. Radiology 2017; 282:726-733. [PMID: 27513850 DOI: 10.1148/radiol.2016160308] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
Purpose To compare low- versus high-frequency ultrasonographic (US) elastography for detection of steatohepatitis in rats by using histopathologic findings as the reference standard. Materials and Methods Between March and September 2014, after receiving approval from the institutional animal care committee, 60 male Sprague-Dawley rats were fed either a standard chow for 4 weeks or a methionine- and choline-deficient diet for 1, 4, 8, or 12 weeks to induce a continuum of steatohepatitis severity. Liver shear stiffness was assessed in vivo by using US elastography at low (40-130-Hz) and high (130-220-Hz) frequencies. Histologic features (steatosis, inflammation, and fibrosis) and modified nonalcoholic steatohepatitis categories were used as reference standards. Definite steatohepatitis was divided into steatohepatitis with fibrosis stage 1 or lower and stage 2 and higher. Analyses included the Kendall τ correlation, multivariable linear regression analyses, Kruskal-Wallis rank sum test, and post hoc Dunn test with Holm correction. Results Correlations between liver shear stiffness and histologic features were higher at high frequencies than at low frequencies (low frequency: 0.08, 0.24, and 0.20 for steatosis, inflammation, and fibrosis, respectively; high frequency: 0.11, 0.35, and 0.50, respectively). The absolute value of multivariable regression coefficients was higher at high frequencies for the presence of steatosis, inflammation grade, and fibrosis stage (low frequency: -0.475, 0.157, and 0.209, respectively; high frequency: -0.893, 0.357, and 0.447, respectively). The model fit was better at high frequencies (adjusted R2 = 0.57) than at low frequencies (adjusted R2 = 0.21). There was a significant difference between steatohepatitis categories at both low and high frequencies (P = .022 and P < .001, respectively). Conclusion Liver shear stiffness measured with US elastography provided better distinction of steatohepatitis categories at high frequencies than at low frequencies. Further, liver shear stiffness decreased with steatosis and increased with inflammation and fibrosis at both low and high frequencies. © RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Siavash Kazemirad
- From the Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada (S.K., E.Z., P.B.C., F.D., D.T., G.C., A.T.); Laboratory of Biorheology and Medical Ultrasonics (LBUM), Montreal, Quebec, Canada (S.K., E.Z., F.D., G.C.); Dept of Pathology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (B.N.N., D.T.); Dept of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada (B.N.N., D.T.); Inst of Biomedical Engineering, Université de Montréal, Montreal, Quebec, Canada (G.C.); and Dept of Radiology, Radio-oncology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4 (G.C., A.T.)
| | - Eric Zhang
- From the Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada (S.K., E.Z., P.B.C., F.D., D.T., G.C., A.T.); Laboratory of Biorheology and Medical Ultrasonics (LBUM), Montreal, Quebec, Canada (S.K., E.Z., F.D., G.C.); Dept of Pathology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (B.N.N., D.T.); Dept of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada (B.N.N., D.T.); Inst of Biomedical Engineering, Université de Montréal, Montreal, Quebec, Canada (G.C.); and Dept of Radiology, Radio-oncology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4 (G.C., A.T.)
| | - Bich N Nguyen
- From the Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada (S.K., E.Z., P.B.C., F.D., D.T., G.C., A.T.); Laboratory of Biorheology and Medical Ultrasonics (LBUM), Montreal, Quebec, Canada (S.K., E.Z., F.D., G.C.); Dept of Pathology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (B.N.N., D.T.); Dept of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada (B.N.N., D.T.); Inst of Biomedical Engineering, Université de Montréal, Montreal, Quebec, Canada (G.C.); and Dept of Radiology, Radio-oncology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4 (G.C., A.T.)
| | - Paule Bodson-Clermont
- From the Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada (S.K., E.Z., P.B.C., F.D., D.T., G.C., A.T.); Laboratory of Biorheology and Medical Ultrasonics (LBUM), Montreal, Quebec, Canada (S.K., E.Z., F.D., G.C.); Dept of Pathology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (B.N.N., D.T.); Dept of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada (B.N.N., D.T.); Inst of Biomedical Engineering, Université de Montréal, Montreal, Quebec, Canada (G.C.); and Dept of Radiology, Radio-oncology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4 (G.C., A.T.)
| | - François Destrempes
- From the Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada (S.K., E.Z., P.B.C., F.D., D.T., G.C., A.T.); Laboratory of Biorheology and Medical Ultrasonics (LBUM), Montreal, Quebec, Canada (S.K., E.Z., F.D., G.C.); Dept of Pathology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (B.N.N., D.T.); Dept of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada (B.N.N., D.T.); Inst of Biomedical Engineering, Université de Montréal, Montreal, Quebec, Canada (G.C.); and Dept of Radiology, Radio-oncology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4 (G.C., A.T.)
| | - Dominique Trudel
- From the Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada (S.K., E.Z., P.B.C., F.D., D.T., G.C., A.T.); Laboratory of Biorheology and Medical Ultrasonics (LBUM), Montreal, Quebec, Canada (S.K., E.Z., F.D., G.C.); Dept of Pathology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (B.N.N., D.T.); Dept of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada (B.N.N., D.T.); Inst of Biomedical Engineering, Université de Montréal, Montreal, Quebec, Canada (G.C.); and Dept of Radiology, Radio-oncology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4 (G.C., A.T.)
| | - Guy Cloutier
- From the Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada (S.K., E.Z., P.B.C., F.D., D.T., G.C., A.T.); Laboratory of Biorheology and Medical Ultrasonics (LBUM), Montreal, Quebec, Canada (S.K., E.Z., F.D., G.C.); Dept of Pathology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (B.N.N., D.T.); Dept of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada (B.N.N., D.T.); Inst of Biomedical Engineering, Université de Montréal, Montreal, Quebec, Canada (G.C.); and Dept of Radiology, Radio-oncology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4 (G.C., A.T.)
| | - An Tang
- From the Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada (S.K., E.Z., P.B.C., F.D., D.T., G.C., A.T.); Laboratory of Biorheology and Medical Ultrasonics (LBUM), Montreal, Quebec, Canada (S.K., E.Z., F.D., G.C.); Dept of Pathology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (B.N.N., D.T.); Dept of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada (B.N.N., D.T.); Inst of Biomedical Engineering, Université de Montréal, Montreal, Quebec, Canada (G.C.); and Dept of Radiology, Radio-oncology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), 1058 rue Saint-Denis, Montréal, QC, Canada H2X 3J4 (G.C., A.T.)
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Petitclerc L, Sebastiani G, Gilbert G, Cloutier G, Tang A. Liver fibrosis: Review of current imaging and MRI quantification techniques. J Magn Reson Imaging 2016; 45:1276-1295. [PMID: 27981751 DOI: 10.1002/jmri.25550] [Citation(s) in RCA: 149] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Accepted: 10/27/2016] [Indexed: 12/13/2022] Open
Abstract
Liver fibrosis is characterized by the accumulation of extracellular matrix proteins such as collagen in the liver interstitial space. All causes of chronic liver disease may lead to fibrosis and cirrhosis. The severity of liver fibrosis influences the decision to treat or the need to monitor hepatic or extrahepatic complications. The traditional reference standard for diagnosis of liver fibrosis is liver biopsy. However, this technique is invasive, associated with a risk of sampling error, and has low patient acceptance. Imaging techniques offer the potential for noninvasive diagnosis, staging, and monitoring of liver fibrosis. Recently, several of these have been implemented on ultrasound (US), computed tomography, or magnetic resonance imaging (MRI). Techniques that assess changes in liver morphology, texture, or perfusion that accompany liver fibrosis have been implemented on all three imaging modalities. Elastography, which measures changes in mechanical properties associated with liver fibrosis-such as strain, stiffness, or viscoelasticity-is available on US and MRI. Some techniques assessing liver shear stiffness have been adopted clinically, whereas others assessing strain or viscoelasticity remain investigational. Further, some techniques are only available on MRI-such as spin-lattice relaxation time in the rotating frame (T1 ρ), diffusion of water molecules, and hepatocellular function based on the uptake of a liver-specific contrast agent-remain investigational in the setting of liver fibrosis staging. In this review, we summarize the key concepts, advantages and limitations, and diagnostic performance of each technique. The use of multiparametric MRI techniques offers the potential for comprehensive assessment of chronic liver disease severity. LEVEL OF EVIDENCE 5 J. MAGN. RESON. IMAGING 2017;45:1276-1295.
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Affiliation(s)
- Léonie Petitclerc
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada
| | - Giada Sebastiani
- Department of Gastroenterology and Hepatology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Guillaume Gilbert
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada.,MR Clinical Science, Philips Healthcare Canada, Markham, Ontario, Canada
| | - Guy Cloutier
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.,Institute of Biomedical Engineering, Université de Montréal, CP 6128, Succursale Centre-ville, Montréal, Québec, Canada.,Laboratory of Biorheology and Medical Ultrasonics, CRCHUM, 900 Saint-Denis, Montréal, Québec, Canada
| | - An Tang
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.,Institute of Biomedical Engineering, Université de Montréal, CP 6128, Succursale Centre-ville, Montréal, Québec, Canada
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Golabi P, Sayiner M, Fazel Y, Koenig A, Henry L, Younossi ZM. Current complications and challenges in nonalcoholic steatohepatitis screening and diagnosis. Expert Rev Gastroenterol Hepatol 2016; 10:63-71. [PMID: 26469309 DOI: 10.1586/17474124.2016.1099433] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Nonalcoholic steatohepatitis (NASH) can lead to complications such as liver failure, cirrhosis and hepatocellular carcinoma. The diagnostic gold standard for NASH is liver biopsy; however, other noninvasive methods have been developed. In this article, the authors evaluate current methods in NASH screening and diagnosis. Routine radiologic modalities were found to detect hepatic steatosis accurately, but were unable to establish the diagnosis of NASH or stage of fibrosis. Newly developed elastography based techniques seem promising to estimate liver fibrosis. Other noninvasive tests such as FibroTest, ELF, Hepascore, FIB-4, NFS, FLI and ION (biochemical panels) have AUROCs ranging between 0.80-0.98 for detecting advanced fibrosis but lack specificity for detecting mild fibrosis. Noninvasive tools, especially elastography, identify NASH associated advanced fibrosis potentially reducing liver biopsies. More research is needed to validate the clinical utility of these tests.
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Affiliation(s)
- Pegah Golabi
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA
| | - Mehmet Sayiner
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA
| | - Yousef Fazel
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA
| | - Aaron Koenig
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA
| | - Linda Henry
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA
| | - Zobair M Younossi
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA.,b Center for Liver Disease, Department of Medicine , Inova Fairfax Hospital , Falls Church , VA , USA
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Non-alcoholic fatty liver disease and cardiovascular risk: Pathophysiological mechanisms and implications. J Hepatol 2016; 65:425-43. [PMID: 27091791 DOI: 10.1016/j.jhep.2016.04.005] [Citation(s) in RCA: 364] [Impact Index Per Article: 40.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 03/25/2016] [Accepted: 04/01/2016] [Indexed: 12/12/2022]
Abstract
Non-alcoholic fatty liver disease (NAFLD) has become one of the most frequent chronic liver diseases in the Western society and its prevalence is likely to rise even further. An increasing body of evidence shows that NAFLD is not only a potentially progressive liver disease, but also has systemic consequences. More specifically, evidence points out that NAFLD has to be considered as a significant independent risk factor for subclinical and clinical cardiovascular disease (CVD). Long-term follow-up studies demonstrate cardiovascular mortality to be the most important cause of death in NAFLD patients. Moreover, ample evidence associates NAFLD with endothelial dysfunction, increased pulse wave velocity, increased coronary arterial calcifications and increased carotid intima media thickness, all established markers for CVD. Despite of all this evidence, the mechanisms by which NAFLD causally contributes to CVD are not fully elucidated. Furthermore, an extensive overview of all potential pathophysiological mechanisms and the corresponding current data are lacking. In this review we summarise current knowledge, originating from fundamental and clinical research, that mechanistically links NAFLD to CVD. Subsequently, the impact of CVD on current clinical practice and future research in the area of NALFD are discussed.
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48
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Hirose K, Kanefuji T, Suda T, Sugitani S, Nagasaki K, Kubota T, Igarashi M, Terai S. Formulation for Effective Screening and Management of Nonalcoholic Steatohepatitis: Noninvasive NAFLD Management Strategy. Gastroenterol Res Pract 2016; 2016:6343656. [PMID: 27382367 PMCID: PMC4921726 DOI: 10.1155/2016/6343656] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Revised: 04/30/2016] [Accepted: 05/11/2016] [Indexed: 02/07/2023] Open
Abstract
To establish a versatile means for screening and management of nonalcoholic steatohepatitis (NASH), shear wave velocity was measured in 20 normal controls and 138 consecutive nonalcoholic fatty liver disease (NAFLD) cases. Referencing biochemical properties in 679 healthy volunteers, a formula to distinguish NASH suspects was established and validated in another cohort of 138 histologically proven NAFLD cases. NASH and simple steatosis (SS) suspects were selected based on a plot of shear wave velocity against age. A formula consisting of five factors (γ-glutamyl transpeptidase, alkaline phosphatase, platelet counts, body mass index, and presence/absence of type 2 diabetes mellitus) distinguished NASH suspects from SS suspects with area under the receiver operating characteristic curve values of 86% and 84% in the development and validation cohorts. Among 25 NAFLD cases in which shear wave velocity was repeatedly measured, 8 and 9 cases revealed an increase or decrease, respectively, of shear wave velocity in the entire liver, and the corresponding change in shear wave velocity was primarily observed in the right lobe or the left lateral segment, respectively. These results suggest that the new formula and sequential shear wave velocity measurements at each segment enable high throughput screening of NASH suspects and noninvasive assessment of pathophysiological alleviation/aggravation in cases of NASH.
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Affiliation(s)
- Kanae Hirose
- Division of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8122, Japan
| | - Tsutomu Kanefuji
- Department of Gastroenterology and Hepatology, Uonuma Institute of Community Medicine, Niigata University, Minami-Uonuma 949-7302, Japan
| | - Takeshi Suda
- Department of Gastroenterology and Hepatology, Uonuma Institute of Community Medicine, Niigata University, Minami-Uonuma 949-7302, Japan
| | - Souichi Sugitani
- Division of Gastroenterology and Hepatology, Tachikawa Medical Center, Nagaoka 940-8621, Japan
| | - Keisuke Nagasaki
- Division of Homeostatic Regulation and Development, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8122, Japan
| | - Tomoyuki Kubota
- Division of Gastroenterology and Hepatology, Saiseikai Niigata Second Hospital, Niigata 950-1104, Japan
| | - Masato Igarashi
- Division of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8122, Japan
| | - Shuji Terai
- Division of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8122, Japan
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Sinn DH, Cho SJ, Gwak GY, Cho J, Gu S, Seong D, Kang D, Kim H, Yi BK, Paik SW. Nonalcoholic Fatty Liver Disease for Identification of Preclinical Carotid Atherosclerosis. Medicine (Baltimore) 2016; 95:e2578. [PMID: 26817915 PMCID: PMC4998289 DOI: 10.1097/md.0000000000002578] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is associated with cardiovascular disease, yet whether identification of NAFLD in asymptomatic individuals is helpful over established risk factors remains unknown. A total of 37,799 asymptomatic adults aged 20 years or older who underwent comprehensive health check-up examination, including abdominal and carotid artery duplex ultrasonography (US) were included in the analysis. Nonalcoholic fatty liver disease was diagnosed with US and exclusion of secondary causes of fat accumulation or other causes of chronic liver disease, and graded as mild or moderate to severe fatty liver. Individuals with carotid plaque identified on carotid artery US were considered at risk for cardiovascular disease. Metabolic syndrome (MetS) was defined by the adult treatment panel III criteria. Nonalcoholic fatty liver disease was an independent factor associated with carotid plaque in a dose-dependent manner (odds ratio [OR]; 95% confidence interval [CI]: 1.09 [1.03-1.16] and 1.13 [1.06-1.21] for mild and ≥ moderate degree of NAFLD). Among clinically-relevant subgroups, NAFLD was more closely associated with carotid plaque in young adults (aged < 60 years) without MetS (OR [95% CI]: 1.13 [1.03-1.19] and 1.16 [1.06-1.27] for mild and ≥ moderate degree of NAFLD) than old adults (aged ≥ 60 years) or with MetS (OR [95% CI]: 1.06 [0.97-1.17] and 1.07 [0.97-1.19] for mild and ≥ moderate degree NAFLD). In young adults without MetS, the prevalence of carotid plaques was 32.8% and the sensitivity and specificity of NAFLD for carotid plaque was 0.38 and 0.67, respectively. In conclusion, NAFLD is associated with carotid plaque independent of traditional risk factors, especially in young adults without MetS. Nonalcoholic fatty liver disease could help identify additional individuals with preclinical atherosclerosis in asymptomatic young adults without MetS, yet, showed suboptimal performance as a screening tool.
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Affiliation(s)
- Dong Hyun Sinn
- From the Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine (DHS, G-YG, SWP); Center for Health Promotion, Samsung Medical Center (SJC); Department of Health Science and Technology, Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University (JC, DS, DK, B-KY); Department of Health, Behavior and Society and Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA (JC); Biostatistics and Clinical Epidemiology Center, Samsung Medical Center (SG); Department of Otorhinolaryngology (HK); and Department of Medical Informatics, Samsung Medical Center, Seoul, South Korea (B-KY)
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