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Younossi ZM, Paik JM, Stepanova M, Ong J, Alqahtani S, Henry L. Clinical profiles and mortality rates are similar for metabolic dysfunction-associated steatotic liver disease and non-alcoholic fatty liver disease. J Hepatol 2024; 80:694-701. [PMID: 38286339 DOI: 10.1016/j.jhep.2024.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/04/2024] [Accepted: 01/10/2024] [Indexed: 01/31/2024]
Abstract
BACKGROUND & AIMS Recently, the term metabolic dysfunction-associated steatotic liver disease (MASLD) has replaced non-alcoholic fatty liver disease (NAFLD). Concern remains regarding whether the evidence generated under the NAFLD definition can be used for MASLD. We compared the clinical profile and outcomes of NAFLD to MASLD using tertiary care- and population-based data. METHODS Comparison data were obtained from our NAFLD database and the National Health and Nutrition Examination Survey (NHANES III). Clinical profiles and non-invasive tests (enhanced liver fibrosis [ELF] score, fibrosis-4 index [FIB-4] and vibration-controlled transient elastography) were compared. Mortality data were obtained from NHANES-National Death Index. All-cause mortality was assessed by Cox proportional hazards regression models and cause-specific mortality by competing risk analysis. RESULTS There were 6,429 patients in the NAFLD database (age: 54 ± 12 years, 42% male, BMI 35.4 ± 8.3, waist circumference 112 ± 17 cm, 52% type 2 diabetes). Average scores for ELF, FIB-4 and liver stiffness were 9.6 ± 1.2, 1.69 ± 1.24,14.0 ± 11.8 kPa, respectively; 99% met MASLD criteria; 95% met MASLD on BMI only. Predictive accuracy of ELF and FIB-4 were identical between MASLD and NAFLD. We included 12,519 eligible participants from NHANES (age 43.00 years, 47.38% male, 22.70% obese, 7.28% type 2 diabetes, 82.51% ≥1 cardiometabolic criteria). Among the NHANES study population, there was excellent concordance between MASLD and NAFLD diagnoses: Cohen's kappa coefficient: 0.968 (95% CI 0.962-0.973) with 5.29% of NAFLD cases not meeting MASLD criteria. After a median follow-up of 22.83 years, there were no mortality differences between MASLD and NAFLD diagnoses (p values ≥0.05). CONCLUSIONS NAFLD and MASLD are similar except individuals with MASLD seem to be older with slightly higher mortality risk, likely owing to cardiometabolic risk factors. Clinical profiles and non-invasive test thresholds were also identical. These data provide evidence that NAFLD and MASLD terminologies can be used interchangeably. For the small proportion of patients with NAFLD who do not meet MASLD criteria, further consideration is needed. IMPACT AND IMPLICATIONS In June 2023, new terminology (MASLD) was adopted to replace the term NAFLD as a means to better describe what the liver disease is rather than what it is not, as well as to potentially reduce stigma. Given that MASLD requires at least one cardiometabolic risk factor, questions were raised as to whether this change in the definition would nullify the similarities between NAFLD and MASLD and require new evidence to be generated for MASLD. We used our NAFLD database and a US population-based database to show that the vast majority of patients with NAFLD fulfill criteria for MASLD. Non-invasive tests performed similarly in both groups. Mortality risk was slightly higher in those with MASLD, which is attributed to the presence of cardiometabolic risks. These results provide evidence that data generated in the past three decades for NAFLD can be used interchangeably for MASLD.
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Affiliation(s)
- Zobair M Younossi
- The Global NASH Council, Washington DC, USA; Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, VA, USA; Center for Liver Disease, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, VA, USA.
| | - James M Paik
- The Global NASH Council, Washington DC, USA; Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, VA, USA
| | - Maria Stepanova
- The Global NASH Council, Washington DC, USA; Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, VA, USA; Center for Liver Disease, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, VA, USA
| | - Janus Ong
- The Global NASH Council, Washington DC, USA; University of the Philippines, College of Medicine, Manila, Philippine
| | - Saleh Alqahtani
- The Global NASH Council, Washington DC, USA; Liver Transplant Center, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia; Division of Gastroenterology & Hepatology, Johns Hopkins University, Baltimore, MD, United States
| | - Linda Henry
- The Global NASH Council, Washington DC, USA; Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, VA, USA; Center for Liver Disease, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, VA, USA; Center for Outcomes Research in Liver Disease, Washington DC, USA
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Anstee QM, Magnanensi J, Hajji Y, Caron A, Majd Z, Rosenquist C, Hum DW, Staels B, Connelly MA, Loomba R, Harrison SA, Ratziu V, Sanyal AJ. Impact of age on NIS2+™ and other non-invasive blood tests for the evaluation of liver disease and detection of at-risk MASH. JHEP Rep 2024; 6:101011. [PMID: 38463540 PMCID: PMC10920708 DOI: 10.1016/j.jhepr.2024.101011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 12/14/2023] [Accepted: 01/08/2024] [Indexed: 03/12/2024] Open
Abstract
Background & Aims Robust performance of non-invasive tests (NITs) across ages is critical to assess liver disease among patients with metabolic dysfunction-associated liver disease (MASLD). We evaluated the impact of age on the performance of NIS2+™ vs. other NITs. Methods An analysis cohort (N = 1,926) with biopsy-proven MASLD was selected among individuals screened for the phase III RESOLVE-IT clinical trial and divided into ≤45, 46-55, 56-64, and ≥65 years groups. To avoid potential confounding effects, a well-balanced cohort (n = 708; n = 177/age group) was obtained by applying a propensity score-matching algorithm to the analysis cohort. Baseline values of biomarkers and NITs were compared across age groups using one-way ANOVA, and the impact of age and histology were compared through three-way ANOVA. The impact of age on NIT performance for the detection of at-risk metabolic dysfunction-associated steatohepatitis (MASH; MASLD activity score [MAS] ≥4 and fibrosis stage [F] ≥2) was also evaluated. Results Age did not affect the distributions of NIS2+™ and APRI (aspartate aminotransferase-to-platelet ratio index), but significantly (p <0.0001) impacted those of NFS (NAFLD fibrosis score), FIB-4 (Fibrosis-4 index), and Enhanced Liver Fibrosis (ELF™) score. NIS2+™ was the only NIT on which fibrosis and MAS exerted a moderate to large effect. While the impact of fibrosis on APRI was moderate, that of MAS was low. The impact of age on FIB-4 and NFS was larger than that of fibrosis. NIS2+™ exhibited the highest AUROC values for detecting at-risk MASH across age groups, with stable performances irrespective of cut-offs. Conclusions NIS2+™ was not significantly impacted by age and was sensitive to both fibrosis and MAS grade, demonstrating a robust performance to rule in/out at-risk MASH with fixed cut-offs. Impact and Implications While metabolic dysfunction-associated steatotic liver disease (MASLD) can affect individuals of all ages, patient age could represent an important confounding factor when interpreting non-invasive test (NIT) results, highlighting the need for reliable and efficient NITs that are not impacted by age and that could be interpreted with fixed cut-offs, irrespective of patient age. We report the impact of age on different well-established NITs - among those tested, only two panels, NIS2+™ and APRI, were not impacted by age and can be used and interpreted independently of patient age. NIS2+™ was also sensitive to both fibrosis and MAS, further confirming its efficiency for the detection of the composite endpoint of at-risk MASH and its potential as a valuable candidate for large-scale implementation in clinical practice and clinical trials.
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Affiliation(s)
- Quentin M. Anstee
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Freeman Hospital, Newcastle upon Tyne, UK
| | | | | | | | | | | | | | - Bart Staels
- Université de Lille, INSERM, CHU Lille, Institut Pasteur de Lille, Lille, France
| | | | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, CA, US
| | - Stephen A. Harrison
- Summit Clinical Research, San Antonio, TX, US
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Vlad Ratziu
- Sorbonne Université, Institute for Cardiometabolism and Nutrition, Hôpital Pitié-Salpêtrière, Paris, France
| | - Arun J. Sanyal
- Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University School of Medicine, Richmond, VA, US
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Arora U, Goyal RM, Teh KKJ, Pei Y, Goh GBB, Lin S, Kumar R, Biswas S, Vaishnav M, Swaroop S, Pathak P, Sheikh S, Bharadiya V, Elhence A, Gamanagatti S, Yadav R, Das P, Aggarwal S, Choudhary N, Anirvan P, Singh SP, De A, Duseja A, Shalimar. Poor Performance of Non-invasive Tests for Advanced Fibrosis in Nonalcoholic Fatty Liver Disease: A Multicentric Asian Study. Dig Dis Sci 2023; 68:4485-4498. [PMID: 37733130 DOI: 10.1007/s10620-023-08085-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 07/31/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND Non-invasive tests (NITs) are useful to assess advanced fibrosis (AF) in nonalcoholic fatty liver disease (NAFLD). Data from Asian countries suggest that these tests have poor performance. We aimed to assess diagnostic accuracy of established thresholds of biomarker-based NITs and Transient Elastography (TE) in identifying AF and evaluated the utility of a two-step test approach. METHODS Biopsy-proven 641 NAFLD patients (55.2% males, median age 42 years) were included from three different centers of Asia. AF (≥ F3) was identified as per histological staging (24.8%). RESULTS TE had the highest area under the receiver operating characteristic curve (AUROC) 0.82 (0.79-0.86), and all other biomarker-based NITs had low AUROC (< 0.7). NITs performed poorly at established thresholds. The combination of NITs utilizing liver stiffness measurement (LSM) and biomarkers, Agile 3+ and FAST, demonstrated acceptable diagnostic accuracy (AUROC 0.82 and 0.78, respectively), but none were superior to LSM alone. LSM measured using appropriate M and XL probes remained accurate regardless of body mass index (BMI); NFS and APRI scores were less accurate at higher BMI ranges. A two-step approach using NFS rule-out criteria (< - 2.97 to rule out) followed by LSM (< 7.3 kPa to rule out and ≥ 12.7 kPa to rule in) correctly classified 62.4% of patients, with only 10.2% of patients incorrectly classified. CONCLUSION NITs have not been validated to identify AF in the Asian NAFLD population, and internationally accepted thresholds yield high false-negative rates. LSM and LSM-based combination tests remain the most accurate.
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Affiliation(s)
- Umang Arora
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India
| | - Ritik M Goyal
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India
| | - Kevin K J Teh
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore, Singapore
| | - Yiying Pei
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore, Singapore
| | - George B B Goh
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore, Singapore
| | - Su Lin
- Department of Liver Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Rahul Kumar
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore, Singapore
- Medicine Academic Clinical Programme, SingHealthDuke-NUS Academic Medical Centre, Singapore, Singapore
| | - Sagnik Biswas
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India
| | - Manas Vaishnav
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India
| | - Shekhar Swaroop
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India
| | - Piyush Pathak
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India
| | - Sabreena Sheikh
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India
| | - Vishwesh Bharadiya
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India
| | - Anshuman Elhence
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India
| | | | - Rajni Yadav
- Department of Pathology, All India Institute of Medical Sciences, Delhi, India
| | - Prasenjit Das
- Department of Pathology, All India Institute of Medical Sciences, Delhi, India
| | - Sandeep Aggarwal
- Department of Surgical Disciplines, All India Institute of Medical Sciences, Delhi, India
| | | | - Prajna Anirvan
- Srirama Chandra Bhanja Medical College and Hospital, Cuttack, Orissa, India
| | - Shivaram P Singh
- Srirama Chandra Bhanja Medical College and Hospital, Cuttack, Orissa, India
| | - Arka De
- Department of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Ajay Duseja
- Department of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Shalimar
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
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Ito T, Nguyen VH, Tanaka T, Park H, Yeh ML, Kawanaka M, Arai T, Atsukawa M, Yoon EL, Tsai PC, Toyoda H, Huang JF, Henry L, Jun DW, Yu ML, Ishigami M, Nguyen MH, Cheung RC. Poor Diagnostic Efficacy of Noninvasive Tests for Advanced Fibrosis in Obese or Younger Than 60 Diabetic NAFLD patients. Clin Gastroenterol Hepatol 2023; 21:1013-1022.e6. [PMID: 35654298 DOI: 10.1016/j.cgh.2022.05.015] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/13/2022] [Accepted: 05/05/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND & AIMS Serum-based noninvasive tests (NITs) have been widely used to assess liver fibrosis in patients with nonalcoholic fatty liver disease (NAFLD). However, the diagnostic efficacy of NITs across ranges of age, body mass index (BMI), and presence of type 2 diabetes (T2DM) may vary and have not been well-characterized. METHODS We analyzed 1489 patients with biopsy-proven NAFLD from 6 centers in Japan, Taiwan, and Korea. Using histology as the gold standard, we compared the areas under the receiver operating characteristic (AUROCs) of Fibrosis-4 index (FIB-4), NAFLD fibrosis score (NFS), and the new Hepamet fibrosis score (HFS), with a focus on performance in subgroups as stratified by age, BMI, and the presence of T2DM. RESULTS By histology, 44.0% of the overall cohort (655/1489) had F2-4, and 20.6% (307/1489) had F3-4 fibrosis. FIB-4 had the highest AUROCs for both F2-4 (0.701 vs NFS 0.676 and HFS 0.682, P = .001) and F3-4 (0.767 vs NFS 0.736 and HFS 0.752, P = .002). However, for F3-4 fibrosis, the AUROCs of all 3 NITs were generally higher in older (>60 years), nonobese (BMI <25 kg/m2), and non-diabetic patients, although overall the best performance was observed with FIB-4 among nonobese (BMI<25) diabetic patients (AUROC, 0.92). The worst performance was observed in younger patients with T2DM for all NITs including FIB-4 (AUROC, 0.63-0.66). CONCLUSIONS FIB-4 had higher diagnostic efficacy for F3-4 than NFS or HFS, but this varied greatly by age, BMI, and T2DM, with better performance in older, nonobese, and nondiabetic patients. However, all NITs including FIB-4 had unacceptably poor performance in young or obese diabetic patients.
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Affiliation(s)
- Takanori Ito
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Vy H Nguyen
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University Medical Center, Palo Alto, California
| | - Taku Tanaka
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Huiyul Park
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Ming-Lun Yeh
- Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, School of Medicine and Hepatitis Research Center, College of Medicine, and Cohort Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Miwa Kawanaka
- Department of General Internal Medicine 2, Kawasaki Medical School General Medical Center, Okayama, Japan
| | - Taeang Arai
- Division of Gastroenterology and Hepatology, Nippon Medical School, Tokyo, Japan
| | - Masanori Atsukawa
- Division of Gastroenterology and Hepatology, Nippon Medical School, Tokyo, Japan
| | - Eileen L Yoon
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Pei-Chien Tsai
- Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, School of Medicine and Hepatitis Research Center, College of Medicine, and Cohort Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hidenori Toyoda
- Department of Gastroenterology, Ogaki Municipal Hospital, Ogaki, Japan
| | - Jee-Fu Huang
- Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, School of Medicine and Hepatitis Research Center, College of Medicine, and Cohort Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Linda Henry
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University Medical Center, Palo Alto, California
| | - Dae Won Jun
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Ming-Lung Yu
- Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, School of Medicine and Hepatitis Research Center, College of Medicine, and Cohort Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Masatoshi Ishigami
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
| | - Mindie H Nguyen
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University Medical Center, Palo Alto, California; Department of Epidemiology and Population Health, Stanford University Medical Center, Palo Alto, California.
| | - Ramsey C Cheung
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University Medical Center, Palo Alto, California.
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Graupera I, Thiele M, Serra-Burriel M, Caballeria L, Roulot D, Wong GLH, Fabrellas N, Guha IN, Arslanow A, Expósito C, Hernández R, Aithal GP, Galle PR, Pera G, Wong VWS, Lammert F, Ginès P, Castera L, Krag A. Low Accuracy of FIB-4 and NAFLD Fibrosis Scores for Screening for Liver Fibrosis in the Population. Clin Gastroenterol Hepatol 2022; 20:2567-2576.e6. [PMID: 34971806 DOI: 10.1016/j.cgh.2021.12.034] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 11/29/2021] [Accepted: 12/22/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Fibrosis-4 (FIB-4) and the nonalcoholic fatty liver disease fibrosis score (NFS) are the 2 most popular noninvasive blood-based serum tests proposed for widespread fibrosis screening. We therefore aimed to describe the accuracy of FIB-4 and NFS to detect elevated liver stiffness as an indicator of hepatic fibrosis in low-prevalence populations. METHODS This study included a total of 5129 patients with concomitant measurement of FIB-4, NFS, and liver stiffness measurement (LSM) by Fibroscan (Echosens, France) from 5 independent population-based cohorts from Spain, Hong Kong, Denmark, England, and France; 3979 participants from the general population and 1150 from at-risk cohorts due to alcohol, diabetes, or obesity. We correlated LSM with FIB-4 and NFS, and calculated pre- and post-test predictive values of FIB-4 and NFS to detect elevated LSM at 8 kPa and 12 kPa cutoffs. The mean age was 53 ± 12 years, the mean body mass index was 27 ± 5 kg/m2, and 2439 (57%) were women. One in 10 patients (552; 11%) had liver stiffness ≥8 kPa, but 239 of those (43%) had a normal FIB-4, and 171 (31%) had normal NFS. The proportion of false-negatives was higher in at-risk patients than the general population. FIB-4 was false-negative in 11% of diabetic subjects, compared with 2.5% false-negatives with NFS. Waist circumference outperformed FIB-4 and NFS for detecting LSM ≥8 kPa in the general population. Almost one-third (28%-29%) of elevated FIB-4/NFS were false-positive in both the general population and at-risk cohorts. CONCLUSIONS FIB-4 and NFS are suboptimal for screening purposes due to a high risk of overdiagnosis and a non-negligible percentage of false-negatives, especially in patients with risk factors for chronic liver disease. Waist circumference emerged as a potential first step to identify patients at risk for liver fibrosis in the general population.
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Affiliation(s)
- Isabel Graupera
- Liver Unit Hospital Clínic. Institut D'investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Centro de Investigación En Red de Enfermedades Hepáticas Y Digestivas (Ciberehd), Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Maja Thiele
- Center for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, and Department for Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Miquel Serra-Burriel
- Epidemiology, Biostatistics, and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Llorenç Caballeria
- USR Metropolitana Nord, IDIAP Jordi Gol, ICS Institut Català de la Salut, Barcelona, Spain
| | - Dominique Roulot
- Department of Hepatology, AP-HP, Hopital Avicenne, Bobigny, France; Université Paris 13, Sorbonne Paris Cité, Villetaneuse, France
| | - Grace Lai-Hung Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Núria Fabrellas
- Faculty of Medicine and Health Sciences, School of Nursing, University of Barcelona; Institut D'investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Centro de Investigación En Red de Enfermedades Hepáticas Y Digestivas (Ciberehd), Barcelona, Spain
| | - Indra Neil Guha
- NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, United Kingdom
| | - Anita Arslanow
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University Mainz, Mainz, Germany; Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany
| | - Carmen Expósito
- USR Metropolitana Nord, IDIAP Jordi Gol, ICS Institut Català de la Salut, Barcelona, Spain
| | - Rosario Hernández
- CAP La Marina, Institut Català de la Salut de Barcelona, Barcelona, Spain
| | - Guruprasad Padur Aithal
- NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, United Kingdom
| | - Peter R Galle
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Guillem Pera
- USR Metropolitana Nord, IDIAP Jordi Gol, ICS Institut Català de la Salut, Barcelona, Spain
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Frank Lammert
- Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany
| | - Pere Ginès
- Liver Unit Hospital Clínic. Institut D'investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Centro de Investigación En Red de Enfermedades Hepáticas Y Digestivas (Ciberehd), Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Laurent Castera
- Hôpital Beaujon; Department of Hepatology, Hôpital Beaujon, Assistance Publique-Hôpitaux de Paris, Clichy, France; Université Paris VII, Inserm Umr 1149, Centre de Recherche Sur L'inflammation, Paris, France
| | - Aleksander Krag
- Center for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, and Department for Clinical Research, University of Southern Denmark, Odense, Denmark
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Lazarus JV, Castera L, Mark HE, Allen AM, Adams LA, Anstee QM, Arrese M, Alqahtani SA, Bugianesi E, Colombo M, Cusi K, Hagström H, Loomba R, Romero-Gómez M, Schattenberg JM, Thiele M, Valenti L, Wong VWS, Yilmaz Y, Younossi ZM, Francque SM, Tsochatzis EA. Real-world evidence on non-invasive tests and associated cut-offs used to assess fibrosis in routine clinical practice. JHEP Rep 2022; 5:100596. [PMID: 36644239 PMCID: PMC9832273 DOI: 10.1016/j.jhepr.2022.100596] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/05/2022] [Accepted: 09/12/2022] [Indexed: 01/18/2023] Open
Abstract
Background & Aims Non-invasive tests (NITs) offer a practical solution for advanced fibrosis identification in non-alcoholic fatty liver disease (NAFLD). Despite increasing implementation, their use is not standardised, which can lead to inconsistent interpretation and risk stratification. We aimed to assess the types of NITs and the corresponding cut-offs used in a range of healthcare settings. Methods A survey was distributed to a convenience sample of liver health experts who participated in a global NAFLD consensus statement. Respondents provided information on the NITs used in their clinic with the corresponding cut-offs and those used in established care pathways in their areas. Results There were 35 respondents from 24 countries, 89% of whom practised in tertiary level settings. A total of 14 different NITs were used, and each respondent reported using at least one (median = 3). Of the respondents, 80% reported using FIB-4 and liver stiffness by vibration-controlled transient elastography (Fibroscan®), followed by the NAFLD fibrosis score (49%). For FIB-4, 71% of respondents used a low cut-off of <1.3 (range <1.0 to <1.45) and 21% reported using age-specific cut-offs. For Fibroscan®, 21% of respondents used a single liver stiffness cut-off: 8 kPa in 50%, while the rest used 7.2 kPa, 7.8 kPa and 8.7 kPa. Among the 63% of respondents who used lower and upper liver stiffness cut-offs, there were variations in both values (<5 to <10 kPa and >7.5 to >20 kPa, respectively). Conclusions The cut-offs used for the same NITs for NAFLD risk stratification vary between clinicians. As cut-offs impact test performance, these findings underscore the heterogeneity in risk-assessment and support the importance of establishing consistent guidelines on the standardised use of NITs in NAFLD management. Lay summary Owing to the high prevalence of non-alcoholic fatty liver disease (NAFLD) in the general population it is important to identify those who have more advanced stages of liver fibrosis, so that they can be properly treated. Non-invasive tests (NITs) provide a practical way to assess fibrosis risk in patients. However, we found that the cut-offs used for the same NITs vary between clinicians. As cut-offs impact test performance, these findings highlight the importance of establishing consistent guidelines on the standardised use of NITs to optimise clinical management of NAFLD.
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Affiliation(s)
- 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
- Corresponding author. Address: Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Calle del Rosselló 171, ENT-2, ES-08036 Barcelona, Spain. Tel.: +34 608 703 573.
| | - Laurent Castera
- Université de Paris, UMR1149 (CRI), Inserm, Paris, France & Service d’Hépatologie, AP-HP, Hôpital Beaujon, Clichy, France
| | - Henry E. Mark
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Alina M. Allen
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Leon A. Adams
- Department of Hepatology and Liver Transplant Unit, Sir Charles Gairdner Hospital, Medical School, University of Western Australia, Perth, Australia
| | - Quentin M. Anstee
- Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK
- Newcastle NIHR Biomedical Research Centre, Newcastle Upon Tyne Hospitals NHS Trust, Newcastle Upon Tyne, UK
| | - Marco Arrese
- Department of Gastroenterology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
- Centro de Envejecimiento y Regeneración (CARE), Departamento de Biología Celular y Molecular, Facultad de Ciencias Biologicas, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Saleh A. Alqahtani
- Division of Gastroenterology & Hepatology, Johns Hopkins University, Baltimore, MD, USA
- Organ Transplant Center, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia
| | - Elisabetta Bugianesi
- Department of Medical Sciences, Division of Gastroenterology and Hepatology, A.O. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | | | - Kenneth Cusi
- Division of Endocrinology, Diabetes and Metabolism, University of Florida, Gainesville, FL, USA
| | - Hannes Hagström
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Rohit Loomba
- Department of Medicine, NAFLD Research Center, La Jolla, CA, USA
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Manuel Romero-Gómez
- Virgen del Rocio University Hospital, Institute of Biomedicine of Seville (HUVR/CSIC/US), CIBEREHD, University of Seville, Seville, Spain
| | - Jörn M. Schattenberg
- Metabolic Liver Research Program, I. Department of Medicine, University Medical Centre Mainz, Mainz, Germany
| | - Maja Thiele
- Liver Research Center, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
- Precision Medicine, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Vincent Wai-Sun Wong
- Medical Data Analytics Centre, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Yusuf Yilmaz
- Department of Gastroenterology, School of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey
- Liver Research Unit, Institute of Gastroenterology, Marmara University, Istanbul, Turkey
| | | | - Sven M. Francque
- Department of Gastroenterology Hepatology, University Hospital Antwerp & Translational Sciences in Inflammation and Immunology TWI2N, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Emmanuel A. Tsochatzis
- University College London Institute for Liver and Digestive Health, Royal Free Hospital, London, United Kingdom
- Sheila Sherlock Liver Centre, Royal Free Hospital, London, United Kingdom
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Innes H, Morling JR, Buch S, Hamill V, Stickel F, Guha IN. Performance of routine risk scores for predicting cirrhosis-related morbidity in the community. J Hepatol 2022; 77:365-376. [PMID: 35271950 DOI: 10.1016/j.jhep.2022.02.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 01/26/2022] [Accepted: 02/14/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND & AIMS Models predicting an individual's 10-year risk of cirrhosis complications have not been developed for a community setting. Our objectives were to assess the performance of existing risk scores - both with and without genetic data - for predicting cirrhosis complications in the community. METHODS We used a 2-stage study design. In stage 1, a systematic review was conducted to identify risk scores derived from routine liver blood tests that have demonstrated prior ability to predict cirrhosis-related complication events. Risk scores identified from stage 1 were tested in a UK Biobank subgroup, comprising participants with a risk factor for chronic liver disease (stage 2). Cirrhosis complications were defined as hospitalisation for liver cirrhosis or presentation with hepatocellular carcinoma. Discrimination of risk scores with and without genetic data was assessed using the Wolbers C-index, Harrell's adequacy index, and cumulative incidence curves. RESULTS Twenty risk scores were identified from the stage-1 systematic review. For stage-2, 197,509 UK biobank participants were selected. The cumulative incidence of cirrhosis complications at 10 years was 0.58%; 95% CI 0.54-0.61 (1,110 events). The top performing risk scores were aspartate aminotransferase-to-platelet ratio index (APRI: C-index 0.804; 95% CI 0.788-0.820) and fibrosis-4 index (FIB-4: C-index 0.780; 95% CI 0.764-0.795). The 10-year cumulative incidences of cirrhosis complications for participants with an APRI score exceeding the 90th, 95th and 99th percentile were 3.30%, 5.42% and 14.83%, respectively. Inclusion of established genetic risk loci associated with cirrhosis added <5% of new prognostic information to the APRI score and improved the C-index only minimally (i.e. from 0.804 to 0.809). CONCLUSIONS Accessible risk scores derived from routine blood tests (particularly APRI and FIB-4) can be repurposed to estimate 10-year risk of cirrhosis morbidity in the community. Genetic data improves performance only minimally. LAY SUMMARY New approaches are needed in community settings to reduce the late diagnosis of chronic liver disease. Thus, in a community cohort, we assessed the ability of 20 routine risk scores to predict 10-year risk of cirrhosis-related complications. We show that 2 routine risk scores in particular - "APRI" and "FIB-4" - could be repurposed to estimate an individual's 10-year risk of cirrhosis-related morbidity. Adding genetic risk factor information to these scores only modestly improved performance.
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Affiliation(s)
- Hamish Innes
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK; Public Health Scotland, Glasgow, UK; Lifespan and Population Health, University of Nottingham, Nottingham, UK.
| | - Joanne R Morling
- Lifespan and Population Health, University of Nottingham, Nottingham, UK; NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, NG7 2UH, UK; Nottingham Digestive Diseases Centre, School of Medicine, University of Nottingham, NG7 2UH, UK
| | - Stephan Buch
- Medical Department 1, University Hospital Dresden, TU Dresden, Germany
| | - Victoria Hamill
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK; Public Health Scotland, Glasgow, UK
| | - Felix Stickel
- Department of Gastroenterology and Hepatology, University Hospital of Zurich, Switzerland
| | - Indra Neil Guha
- NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, NG7 2UH, UK; Nottingham Digestive Diseases Centre, School of Medicine, University of Nottingham, NG7 2UH, UK
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