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Ferraioli G, Barr RG, Berzigotti A, Sporea I, Wong VWS, Reiberger T, Karlas T, Thiele M, Cardoso AC, Ayonrinde OT, Castera L, Dietrich CF, Iijima H, Lee DH, Kemp W, Oliveira CP, Sarin SK. WFUMB Guideline/Guidance on Liver Multiparametric Ultrasound: Part 1. Update to 2018 Guidelines on Liver Ultrasound Elastography. ULTRASOUND IN MEDICINE & BIOLOGY 2024:S0301-5629(24)00142-X. [PMID: 38762390 DOI: 10.1016/j.ultrasmedbio.2024.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/20/2024] [Accepted: 03/25/2024] [Indexed: 05/20/2024]
Abstract
The World Federation for Ultrasound in Medicine and Biology (WFUMB) endorsed the development of this document on multiparametric ultrasound. Part 1 is an update to the WFUMB Liver Elastography Guidelines Update released in 2018 and provides new evidence on the role of ultrasound elastography in chronic liver disease. The recommendations in this update were made and graded using the Oxford classification, including level of evidence (LoE), grade of recommendation (GoR) and proportion of agreement (Oxford Centre for Evidence-Based Medicine [OCEBM] 2009). The guidelines are clinically oriented, and the role of shear wave elastography in both fibrosis staging and prognostication in different etiologies of liver disease is discussed, highlighting advantages and limitations. A comprehensive section is devoted to the assessment of portal hypertension, with specific recommendations for the interpretation of liver and spleen stiffness measurements in this setting.
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Affiliation(s)
- Giovanna Ferraioli
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
| | - Richard Gary Barr
- Department of Radiology, Northeastern Ohio Medical University, Rootstown, Ohio, USA; Southwoods Imaging, Youngstown, Ohio, USA
| | - Annalisa Berzigotti
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ioan Sporea
- Division of Gastroenterology and Hepatology, Department of Internal Medicine II, Center for Advanced Research in Gastroenterology and Hepatology, "Victor Babeș" University of Medicine and Pharmacy, Timișoara, Romania
| | - Vincent Wai-Sun Wong
- Medical Data Analytics Centre, Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, China; State Key Laboratory of Digestive Disease, Institute of Digestive Disease, Chinese University of Hong Kong, Hong Kong, China
| | - Thomas Reiberger
- Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria; Christian-Doppler Laboratory for Portal Hypertension and Liver Fibrosis, Medical University of Vienna, Vienna, Austria
| | - Thomas Karlas
- Division of Gastroenterology, Department of Medicine II, Leipzig University Medical Center, Leipzig, Germany
| | - Maja Thiele
- Center for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department for Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Ana Carolina Cardoso
- Hepatology Division, School of Medicine, Federal University of Rio de Janeiro, Clementino, Fraga Filho Hospital, Rua Prof. Rodolpho Paulo Rocco, Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Oyekoya Taiwo Ayonrinde
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch, Western Australia, Australia; Medical School, University of Western Australia, Crawley, Western Australia, Australia; Curtin Medical School, Curtin University, Kent Street, Bentley, Western Australia, Australia
| | - Laurent Castera
- Université Paris-Cité, Inserm UMR1149, Centre de Recherche sur l'Inflammation, Paris, France; Service d'Hépatologie, Hôpital Beaujon, Assistance-Publique Hôpitaux de Paris, Clichy, France
| | - Christoph Frank Dietrich
- Department Allgemeine Innere Medizin (DAIM), Kliniken Hirslanden Beau Site, Salem and Permancence, Bern, Switzerland
| | - Hiroko Iijima
- Division of Hepatobiliary and Pancreatic Disease, Department of Gastroenterology, Hyogo Medical University, Nishinomiya, Hyogo, Japan; Ultrasound Imaging Center, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - William Kemp
- Department of Gastroenterology, Alfred Hospital, Melbourne, Australia; Department of Medicine, Central Clinical School, Monash University, Melbourne, Australia
| | - Claudia P Oliveira
- Gastroenterology Department, Laboratório de Investigação (LIM07), Hospital das Clínicas de São Paulo, HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Shiv Kumar Sarin
- Department of Hepatology, Institute of Liver and Biliary Sciences, Vasant Kunj, New Delhi, India
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Li Y, Wang JP, Zhu X. Construction of a nomogram for predicting compensated cirrhosis with Wilson's disease based on non-invasive indicators. BMC Med Imaging 2024; 24:90. [PMID: 38627672 PMCID: PMC11020316 DOI: 10.1186/s12880-024-01265-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 03/29/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Wilson's disease (WD) often leads to liver fibrosis and cirrhosis, and early diagnosis of WD cirrhosis is essential. Currently, there are few non-invasive prediction models for WD cirrhosis. The purpose of this study is to non-invasively predict the occurrence risk of compensated WD cirrhosis based on ultrasound imaging features and clinical characteristics. METHODS A retrospective analysis of the clinical characteristics and ultrasound examination data of 102 WD patients from November 2018 to November 2020 was conducted. According to the staging system for WD liver involvement, the patients were divided into a cirrhosis group (n = 43) and a non-cirrhosis group (n = 59). Multivariable logistic regression analysis was used to identify independent influencing factors for WD cirrhosis. A nomogram for predicting WD cirrhosis was constructed using R analysis software, and validation of the model's discrimination, calibration, and clinical applicability was completed. Due to the low incidence of WD and the small sample size, bootstrap internal sampling with 500 iterations was adopted for validation to prevent overfitting of the model. RESULTS Acoustic Radiation Force Impulse (ARFI), portal vein diameter (PVD), and serum albumin (ALB) are independent factors affecting WD cirrhosis. A nomogram for WD cirrhosis was constructed based on these factors. The area under the ROC curve (AUC) of the model's predictive ability is 0.927 (95% CI: 0.88-0.978). As demonstrated by 500 Bootstrap internal sampling validations, the model has high discrimination and calibration. Clinical decision curve analysis shows that the model has high clinical practical value. ROC curve analysis of the model's rationality indicates that the model's AUC is greater than the AUC of using ALB, ARFI, and PVD alone. CONCLUSION The nomogram model constructed based on ARFI, PVD, and ALB can serve as a non-invasive tool to effectively predict the risk of developing WD cirrhosis.
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Affiliation(s)
- Yan Li
- Department of Ultrasound, The first affiliated hospital of Anhui University of Traditional Chinese Medicine, MeiShan Road, 230031, Anhui, P.R. China.
| | - Jing Ping Wang
- Department of Ultrasound, The first affiliated hospital of Anhui University of Traditional Chinese Medicine, MeiShan Road, 230031, Anhui, P.R. China
| | - Xiaoli Zhu
- Department of Intervention, The First Affiliated Hospital of Soochow University, 899, The Pinghai Road, 215006, Jiangsu, P.R. China
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Hegmar H, Wester A, Aleman S, Backman J, Degerman E, Ekvall H, Lund K, Lundgren Å, Nasr P, Shahnavaz A, Vessby J, Westin J, Önnerhag K, Hagström H. Liver stiffness predicts progression to liver-related events in patients with chronic liver disease - A cohort study of 14 414 patients. Liver Int 2024. [PMID: 38560775 DOI: 10.1111/liv.15919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/15/2024] [Accepted: 03/19/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND & AIMS Liver stiffness measurement (LSM) by vibration-controlled transient elastography (VCTE) is a non-invasive diagnostic biomarker of liver fibrosis. It is uncertain if LSM can predict risk for future liver-related outcomes in large, heterogenous populations. METHODS This Swedish multi-centre cohort study included patients (n = 14 414) from 16 sites who underwent LSM by VCTE between 2008 and 2020. Outcomes were ascertained from national registers. We investigated progression to cirrhosis with portal hypertension or hepatocellular carcinoma (HCC), separately. Cox regression was used to obtain hazard ratios (HRs). Harrel's C-index was used to measure discrimination of VCTE. RESULTS Included patients had a median age of 46 (interquartile range 34-57), median LSM of 5.9 kPa (4.6-8.0), 59% were male, and the majority had hepatitis C (50.1%). During a median follow-up of 5.9 (4.3-8.0) years, 402 patients (2.7%) developed cirrhosis with portal hypertension. In patients with an LSM ≥25 kPa, 28.7% developed cirrhosis with portal hypertension within 5 years of follow-up, while only .6% of patients with an LSM <10 kPa did. This translated to a HR of 48.3 (95% confidence interval = 37.6-62.0). VCTE had a high discriminative ability, with C-indices above .80 for most liver diseases, including .82 for MASLD. Similar findings were seen for incident HCC. CONCLUSIONS Increased LSM by VCTE was associated with an increased risk of progression to both cirrhosis with portal hypertension, and to HCC, and had a high discriminative ability across different aetiologies of chronic liver diseases. These results support the use of VCTE to guide follow-up and treatment decisions.
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Affiliation(s)
- Hannes Hegmar
- Division of Hepatology, Department of Upper GI, Karolinska University Hospital, Stockholm, Sweden
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Axel Wester
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Soo Aleman
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Jens Backman
- Department of Infectious Diseases, University Hospital of Umeå, Umeå, Sweden
| | - Erik Degerman
- Department of Infectious Diseases, Falun Hospital, Falun, Sweden
| | - Håkan Ekvall
- Department of Infectious Diseases, Sundsvall-Härnösand Regional Hospital, Sundsvall, Sweden
| | - Katarina Lund
- Department of Infectious Diseases, Northern Älvsborg County Hospital, Trollhättan, Sweden
| | - Åsa Lundgren
- Department of Infectious Diseases, Central Hospital, Kristianstad, Sweden
| | - Patrik Nasr
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
- Department of Gastroenterology and Hepatology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Afshin Shahnavaz
- Department of Infectious Diseases, Södra Älvsborgs Hospital, Borås, Sweden
| | - Johan Vessby
- Department of Medical Sciences, Gastroenterology Research Group, Uppsala University, Uppsala, Sweden
| | - Johan Westin
- Department of Infectious Diseases, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Kristina Önnerhag
- Department of Gastroenterology and Hepatology, Skåne University Hospital, Malmö, Sweden
| | - Hannes Hagström
- Division of Hepatology, Department of Upper GI, Karolinska University Hospital, Stockholm, Sweden
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
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Peltec A, Sporea I. Multiparametric ultrasound as a new concept of assessment of liver tissue damage. World J Gastroenterol 2024; 30:1663-1669. [PMID: 38617743 PMCID: PMC11008374 DOI: 10.3748/wjg.v30.i12.1663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/05/2024] [Accepted: 03/12/2024] [Indexed: 03/28/2024] Open
Abstract
Liver disease accounts for approximately 2 million deaths per year worldwide. All chronic liver diseases (CLDs), whether of toxic, genetic, autoimmune, or infectious origin, undergo typical histological changes in the structure of the tissue. These changes may include the accumulation of extracellular matrix material, fats, triglycerides, or tissue scarring. Noninvasive methods for diagnosing CLD, such as conventional B-mode ultrasound (US), play a significant role in diagnosis. Doppler US, when coupled with B-mode US, can be helpful in evaluating the hemodynamics of hepatic vessels and detecting US findings associated with hepatic decompensation. US elastography can assess liver stiffness, serving as a surrogate marker for liver fibrosis. It is important to note that interpreting these values should not rely solely on a histological classification. Contrast-enhanced US (CEUS) provides valuable information on tissue perfusion and enables excellent differentiation between benign and malignant focal liver lesions. Clinical evaluation, the etiology of liver disease, and the patient current comorbidities all influence the interpretation of liver stiffness measurements. These measurements are most clinically relevant when interpreted as a probability of compensated advanced CLD. B-mode US offers a subjective estimation of fatty infiltration and has limited sensitivity for mild steatosis. The controlled attenuation parameter requires a dedicated device, and cutoff values are not clearly defined. Quan-titative US parameters for liver fat estimation include the attenuation coefficient, backscatter coefficient, and speed of sound. These parameters offer the advantage of providing fat quantification alongside B-mode evaluation and other US parameters. Multiparametric US (MPUS) of the liver introduces a new concept for complete noninvasive diagnosis. It encourages examiners to utilize the latest features of an US machine, including conventional B-mode, liver stiffness evaluation, fat quantification, dispersion imaging, Doppler US, and CEUS for focal liver lesion characterization. This comprehensive approach allows for diagnosis in a single examination, providing clinicians worldwide with a broader perspective and becoming a cornerstone in their diagnostic arsenal. MPUS, in the hands of skilled clinicians, becomes an invaluable predictive tool for diagnosing, staging, and monitoring CLD.
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Affiliation(s)
- Angela Peltec
- Department of Internal Medicine, Discipline of Gastroenterology, State University of Medicine and Pharmacy "Nicolae Testemitanu", Chishinev 2019, Moldova
| | - Ioan Sporea
- Department of Gastroenterology and Hepatology, "Victor Babes" University of Medicine and Pharmacy, Timisoara 300736, Romania
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Rowe IA, Villanueva C, Shearer JE, Torres F, Albillos A, Genescà J, Garcia-Pagan JC, Tripathi D, Hayes PC, Bosch J, Abraldes JG. Quantifying the benefit of nonselective beta-blockers in the prevention of hepatic decompensation: A Bayesian reanalysis of the PREDESCI trial. Hepatology 2023; 78:530-539. [PMID: 36897269 DOI: 10.1097/hep.0000000000000342] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 02/09/2023] [Indexed: 03/11/2023]
Abstract
BACKGROUND AND AIMS Beta-blockers have been studied for the prevention of variceal bleeding and, more recently, for the prevention of all-cause decompensation. Some uncertainties regarding the benefit of beta-blockers for the prevention of decompensation remain. Bayesian analyses enhance the interpretation of trials. The purpose of this study was to provide clinically meaningful estimates of both the probability and magnitude of the benefit of beta-blocker treatment across a range of patient types. APPROACH AND RESULTS We undertook a Bayesian reanalysis of PREDESCI incorporating 3 priors (moderate neutral, moderate optimistic, and weak pessimistic). The probability of clinical benefit was assessed considering the prevention of all-cause decompensation. Microsimulation analyses were done to determine the magnitude of the benefit. In the Bayesian analysis, the probability that beta-blockers reduce all-cause decompensation was >0.93 for all priors. The Bayesian posterior hazard ratios (HR) for decompensation ranged from 0.50 (optimistic prior, 95% credible interval 0.27-0.93) to 0.70 (neutral prior, 95% credible interval 0.44-1.12). Exploring the benefit of treatment using microsimulation highlights substantial treatment benefits. For the neutral prior derived posterior HR and a 5% annual incidence of decompensation, at 10 years, an average of 497 decompensation-free years per 1000 patients were gained with treatment. In contrast, at 10 years 1639 years per 1000 patients were gained from the optimistic prior derived posterior HR and a 10% incidence of decompensation. CONCLUSIONS Beta-blocker treatment is associated with a high probability of clinical benefit. This likely translates to a substantial gain in decompensation-free life years at the population level.
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Affiliation(s)
- Ian A Rowe
- Leeds Institute for Medical Research, University of Leeds, Leeds, UK
- Leeds Liver Unit, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Càndid Villanueva
- Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Barcelona Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto Salud Carlos III, Spain
| | - Jessica E Shearer
- Leeds Institute for Medical Research, University of Leeds, Leeds, UK
- Leeds Liver Unit, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Ferran Torres
- Biostatistics Unit, Medical School, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Agustín Albillos
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto Salud Carlos III, Spain
- Servicio de Gastroenterología y Hepatología, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS). Madrid, Spain
| | - Joan Genescà
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto Salud Carlos III, Spain
- Liver Unit, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute (VHIR), Vall d'Hebron Barcelona Hospital Campus, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Joan C Garcia-Pagan
- Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic, Institut de Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain CIBEREHD (Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas). Health Care Provider of the European Reference Network on Rare Liver Disorders (ERN-Liver)
| | - Dhiraj Tripathi
- University Hospitals Birmingham NHS Foundation Trust. Birmingham, UK
- Institute of Immunology and Immunotherapy, University of Birmingham. UK
- Department of Hepatology. Royal Infirmary of Edinburgh. Edinburgh, UK
| | - Peter C Hayes
- Department of Hepatology. Royal Infirmary of Edinburgh. Edinburgh, UK
| | - Jaume Bosch
- Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic, Institut de Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain CIBEREHD (Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas). Health Care Provider of the European Reference Network on Rare Liver Disorders (ERN-Liver)
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Juan G Abraldes
- Division of Gastroenterology (Liver Unit), University of Alberta, Edmonton, Alberta, Canada
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Parker R. Editorial: moving from the clinic towards population hepatology. Aliment Pharmacol Ther 2023; 57:727. [PMID: 36821757 DOI: 10.1111/apt.17394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Affiliation(s)
- Richard Parker
- Leeds Liver Unit, St James's University Hospital, Leeds, UK
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Ferraioli G, Roccarina D. Update on the role of elastography in liver disease. Therap Adv Gastroenterol 2022; 15:17562848221140657. [PMID: 36506750 PMCID: PMC9730016 DOI: 10.1177/17562848221140657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 11/05/2022] [Indexed: 12/12/2022] Open
Abstract
The diagnosis of liver fibrosis and the assessment of its severity are important to provide appropriate management, to determine the prognosis or the need for surveillance. Currently, for fibrosis staging, liver stiffness measurement (LSM) with the shear wave elastography (SWE) techniques is considered a reliable substitute for liver biopsy in several clinical scenarios. Nonetheless, it should be emphasized that stiffness value is a biomarker of diffuse liver disease that must be interpreted taking into consideration anamnesis, clinical and laboratory data. In patients with diffuse liver disease, it is more clinically relevant to determine the likelihood of advanced disease rather than to obtain an exact stage of liver fibrosis using a histologic classification. In this regard, a 'rule of five' for LSMs with vibration-controlled transient elastography (VCTE) and a 'rule of four' for LSMs with the acoustic radiation force impulse (ARFI)-based techniques have been proposed. In patients with advanced chronic liver disease (CLD), the risk of liver decompensation increases with increasing liver stiffness value. SWE has been proposed as a tool to predict the risk of death or complications in patients with CLD. LSM by VCTE combined with platelets count is a validated non-invasive method for varices screening, with very good results in terms of invasive procedures being spared. ARFI-based techniques also show some promising results in this setting. LSM, alone or combined in scores or algorithms with other parameters, is used to evaluate the risk of hepatocellular carcinoma occurrence. Due to the high prevalence of CLD, screening the population at risk is of interest but further studies are needed.
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Affiliation(s)
| | - Davide Roccarina
- Sherlock Liver Unit and UCL Institute for Liver and Digestive Health, Royal Free Hospital, London, UK,Internal Medicine Consultant, SOD Medicina Interna ed Epatologia, Azienda Ospedaliero-Universitaria Careggi, Firenze, Italy
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Rowe IA, D'Amico G. Taking a risk-based approach to testing for liver disease in primary care, a step in the right direction. J Hepatol 2022; 77:293-295. [PMID: 35421424 DOI: 10.1016/j.jhep.2022.03.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 03/25/2022] [Indexed: 12/04/2022]
Affiliation(s)
- Ian A Rowe
- Leeds Institute for Medical Research, University of Leeds, Leeds, UK; Leeds Liver Unit, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
| | - Gennaro D'Amico
- Gastroenterology Unit, Azienda Ospedaliera Ospedali Riuniti Villa Sofia-Cervello, Palermo, Italy; Gastroenterology Unit, Clinica La Maddalena, Palermo, Italy.
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Non-Invasive Tests of Liver Fibrosis Help in Predicting the Development of Hepatocellular Carcinoma among Patients with NAFLD. J Clin Med 2022; 11:jcm11092466. [PMID: 35566592 PMCID: PMC9103029 DOI: 10.3390/jcm11092466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/24/2022] [Accepted: 04/25/2022] [Indexed: 02/01/2023] Open
Abstract
Background: The potential role of non-invasive tests (NITs) for liver fibrosis for hepatocellular carcinoma (HCC) prediction remains poorly known. Methods: Retrospective analysis of a NAFLD cohort from a single university hospital in Barcelona, Spain. Incidence rates and cumulative incidence for the overall cohort, as well as cirrhotic and non-cirrhotic patients were calculated. Logistic regression analyses were carried out to investigate risk factors of HCC. Results: From the entire cohort of 1040 patients, 996 patients (95.8%) were analyzed, in whom 35 cases of HCC were detected, of which 26 (72.4%) HCC incident cases were newly diagnosed during a median follow-up of 2.5 (1.9−3.6) years. Two-hundred and thirty-one (23.2%) were cirrhotic at baseline. With the exception of 2 (7.7%) cases of HCC, the rest were diagnosed in cirrhotic patients. Overall HCC cumulative incidence was 9.49 (95% CI 6.4−13.9) per 1000 person-years. The incidence rate for cirrhotic patients was 41.2 (95% CI 27.6−61.6) per 1000 person-years and 0.93 (95% CI 0.23−3.7) per 1000 person-years for patients without cirrhosis. Overall mortality was significantly higher amongst patients with HCC (4.4% vs. 30.8%, p < 0.001). In patients with available liver biopsy (n = 249, 25%), advanced fibrosis (F3−F4) was significantly associated with higher HCC incidence, but not steatosis, lobular inflammation, nor ballooning. In the overall cohort, FIB-4 ≥1.3 (HR 8.46, 95% CI 1.06−67.4, p = 0.044) and older age (HR 1.06, 95% CI 1.01−1.11, p = 0.025) were associated with increasing risk of HCC over time, whereas in cirrhotic patients predictors of HCC included decreasing values of albumin (HR 0.34, 95% CI 0.13−0.87, p = 0.024), platelets (HR 0.98, 95% CI 0.98−0.99, p = 0.001), and increasing values of liver stiffness (HR 1.03, 95% CI 1.00−1.06, p = 0.016). Conclusions: In a Spanish cohort of NAFLD patients, HCC was rare in non-cirrhotic patients. NITs might play a relevant role at predicting HCC.
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