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Annals of Hepatology VALIDATION OF NONINVASIVE CLINICAL PATHWAYS TO IDENTIFY ADVANCED
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Vol. 30. Issue S2.
Abstracts of the 2025 Annual Meeting of the ALEH
(September 2025)
Vol. 30. Issue S2.
Abstracts of the 2025 Annual Meeting of the ALEH
(September 2025)
#93
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VALIDATION OF NONINVASIVE CLINICAL PATHWAYS TO IDENTIFY ADVANCED
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Luis Antonio Díaz Piga1, Natalia Baeza2, Francisco Idalsoaga2, Xiao-Dong Zhou3, Ming-Hua Zheng3, Fátima Higuera de la Tijera4, Fernando Javier Barreyro5, Rakhi Maiwall6, Shiv K. Sarin6, Anand V. Kulkarni7, Ramagundam Ramyasri7, Gustavo Ayares2, Terry Cheuk-Fung Yip8, Vincent Wai-Sun Wong8, Grace Lai-Hung Wong8, Jimmy Che-To Lai8, Yu Jun Wong9, Xin En Goh9, May Xuan Goh9, David Marti-Aguado10..., Cristiane Villela-Nogueira11, Nathalie Leite11, Gil Fernando Salles11, Claudia Regina Lopes Cardoso11, Mohamed El-Kassas12, Daniza Contreras13, José Antonio Velarde14, Alceo Galimberti15, Fernando Bessone15, Francisco Javier Valentin-Cortez16, Alejandra Mijangos-Trejo16, Norberto Chavez Tapia16, Ezequiel Ridruejo17, Mirta Peralta18, Juan Pablo Roblero19, Daniela Simian19, Pamela Gil19, Sheel Patel20, Ashwani K. Singal20, Pedro Montes21, Jordi Gratacós-Ginès22, Elisa Pose22, Katrina Pekarska23, Richard Parker23, Mohamad Ali Ibrahim24, Prasun K. Jalal24, Graciela Castro-Narro25, Mazen Noureddin26, Naim Alkhouri27, Winston Dunn28, Patrick S. Kamath29, Arun Sanyal30, Richard K. Sterling30, Veeral Ajmera1, Rohit Loomba1, Marco Arrese2, Ramon Bataller31, Juan Pablo Arab30Ver más
1 MASLD Research Center. Division of Gastroenterology and Hepatology. University of California San Diego, USA.
2 Departamento de Gastroenterología. Pontificia Universidad Católica de Chile.
3 MAFLD Research Center. Department of Hepatology. The First Affiliated Hospital of Wenzhou Medical University, China.
4 Departamento de Gastroenterología. Hospital General de México "Dr. Eduardo Liceaga".
5 Departamento de Gastroenterología. Escuela de Medicina. Universidad Nacional de Misiones, Argentina.
6 Institute of Liver and Biliary Sciences, India.
7 Asian Institute of Gastroenterology, India.
8 Medical Data Analytics Centre. Department of Medicine and Therapeutics. The Chinese University of Hong Kong.
9 Department of Gastroenterology & Hepatology. Changi General Hospital. Singapore. Yong Loo Lin School of Medicine. National University of Singapore. Duke-NUS Medical School.
10 Digestive Disease Department. Clinic University Hospital. INCLIVA Health Research Institute, España.
11 División de Hepatología. Hospital Universitário Clementino Fraga Filho. Universidade Federal do Rio de Janeiro, Brasil.
12 Endemic Medicine Department. Faculty of Medicine. Helwan University, Egypt.
13 Instituto Nacional de Diabetes. Endocrinología y Nutrición (INDEN), Republica Dominicana.
14 Hospital Civil Guadalajara, México.
15 Department of Gastroenterology. Hospital Centenario de Rosario, Argentina.
16 Department of Gastroenterology and Obesity. Medica Sur Hospital, México.
17 Hepatology Section. Department of Medicine. Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno “CEMIC”, Argentina.
18 Hospital Francisco J. Muñiz, Argentina.
19 Hospital Clínico Universidad de Chile. Escuela de Medicina Universidad de Chile.
20 Division of Gastroenterology. Hepatology and Nutrition. University of Louisville School of Medicine, USA.
21 Hospital Nacional Daniel A. Carrión, Perú.
22 Liver Unit. Hospital Clínic de Barcelona, España.
23 NHS Leeds Teaching Hospital, UK.
24 Baylor College of Medicine, USA.
25 Department of Gastroenterology. Instituto Nacional de Ciencias Médicas y Nutrición “Salvador Zubirán”, México.
26 Houston Methodist Hospital, USA.
27 Department of Hepatology. Arizona Liver Health, USA.
28 University of Kansas Medical Center, USA.
29 Mayo Clinic, USA.
30 Division of Gastroenterology. Hepatology. and Nutrition. Department of Internal Medicine. Virginia Commonwealth University School of Medicine, USA.
31 Liver Unit. Hospital Clínic de Barcelona, España.
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This article is part of special issue:
Vol. 30. Issue S2

Abstracts of the 2025 Annual Meeting of the ALEH

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Introduction and Objectives

Limited data exist on non-invasive clinical algorithms for MetALD and ALD. We aimed to (1) quantify the false-negative rate of standard algorithms combining Fibrosis-4 index (FIB-4) and vibration-controlled transient elastography (VCTE) for detecting advanced fibrosis in MetALD and ALD, and (2) evaluate the diagnostic accuracy of FIB-4 for advanced fibrosis in MetALD.

Materials and Methods

Retrospective cohort including 764 well-characterized adults with MetALD (n=334, 43.7%) or ALD (n=430, 56.3%) from 14 countries (2003–2025) according to the 2023 criteria; other concomitant liver diseases were excluded. All underwent VCTE (>8 kPa considered elevated); 244 (31.9%) also had liver biopsy. FIB-4 was categorized as low risk <1.3, indeterminate 1.3–2.67 (2.0–2.67 if ≥65 years), and high risk >2.67. Analysis included AUROC curves.

Results

Mean age was 49.5 years (IQR 41–59); 73.1% were male; mean BMI 28.0 kg/m2 (IQR 24.1–31.6); 32.2% had diabetes. Median FIB-4 was 1.57 (IQR 0.92–3.29); median LSM 8.6 kPa (IQR 5.9–22.3). Among those biopsied (n=244), 14.3% had F3 and 11.9% had cirrhosis (F4). Of the low FIB-4 group, 28.1% had elevated VCTE (32.0% MetALD; 24.9% ALD). Sixteen participants classified as low-risk by both FIB-4 and LSM had ≥F3 fibrosis on biopsy—false-negative rate 6.6% overall (5.7% MetALD; 7.4% ALD) (Figure). In MetALD, FIB-4 yielded an AUROC of 0.736 (95%CI:0.610–0.863) for ≥F3 fibrosis; the optimal cut-point was ≥1.65 (sensitivity 74%, specificity 73%). Applying ≥1.65 to participants over 65 years with MetALD reduced the false-negative rate to 2.0%, while the referral rate rose only from 30.3% to 33.6%.

Conclusions

Standard noninvasive pathways combining FIB-4 and VCTE had low false-negative rates for advanced fibrosis in MetALD and ALD. In patients with MetALD aged +65 years, lowering the FIB-4 threshold to ≥1.65 may improve advanced fibrosis detection.

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Conflict of interest: None

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