Affiliations 

  • 1 Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, Republic of Korea
  • 2 State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
  • 3 Section of Gastroenterology, PROMISE, University of Palermo, Italy
  • 4 Department of Medical Sciences, Division of Gastroenterology, A.O.U. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
  • 5 Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
  • 6 MAFLD Research Center, Department of Hepatology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
  • 7 Department of Medicine, Huddinge, Karolinska Institutet, Sweden; Division of Hepatology, Department of Upper GI Diseases, Karolinska University Hospital, Huddinge, Stockholm, Sweden
  • 8 Hepato-Gastroenterology and Digestive Oncology Department, Angers University Hospital, Angers, France; HIFIH Laboratory, SFR ICAT 4208, Angers University, Angers, France
  • 9 Department of Gastroenterology and Hepatology, Hospital Universitario Puerta de Hierro, Universidad Autonoma de Madrid, Spain
  • 10 Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore
  • 11 Gastroenterology and Hepatology Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
  • 12 UCM Digestive Diseases, Virgen del Rocio University Hospital, SeLiver Group, Institute of Biomedicine of Seville, Ciberehd, Department of Medicine, University of Seville, Seville, Spain
  • 13 Stravitz-Sanyal Institute for Liver Disease and Metabolic Health, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
  • 14 Echosens, Paris, France
  • 15 Roger Williams Institute of Liver Studies, School of Immunology & Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, Foundation for Liver Research and King's College Hospital, London
  • 16 Department of Gastroenterology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai Key Lab of Pediatric Gastroenterology and Nutrition, Shanghai, China
  • 17 Université Paris Cité, UMR1149 (CRI), INSERM, Paris, France; Service d'Hépatologie, Hôpital Beaujon, Assistance Publique-Hôpitaux de Paris (AP-HP), Clichy, France
  • 18 State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China. Electronic address: wongv@cuhk.edu.hk
  • 19 Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: KSUKOREA@yuhs.ac
  • 20 Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: lorry-lee@yuhs.ac
JHEP Rep, 2026 Nov 02.
PMID: 42971355 DOI: 10.1016/j.jhepr.2026.102074

Abstract

BACKGROUND & AIMS: Fibrosis is a major determinant of adverse outcomes in metabolic dysfunction-associated steatotic liver disease (MASLD). We developed and validated two probability scores for advanced fibrosis (≥F3) and cirrhosis (F4)-CLA3+ and CLA4-using controlled attenuation parameter (CAP), liver stiffness (LS) by vibration-controlled transient elastography (VCTE), and alanine aminotransferase (ALT), and evaluated their prognostic values for liver-related events (LREs).

METHODS: In a 16-center multinational cohort, single-term fractional-polynomial logistic regression models derived CLA3+ and CLA4 probabilities. Prognostic performance was assessed using time-dependent area under the receiver operating characteristic curve (AUROC), Brier score, integrated discrimination improvement (IDI), and serial-change analyses.

RESULTS: The derivation cohort included 2,811 biopsied patients; validation included 11,196 patients with baseline VCTE, of whom 8,046 had serial assessments. Derivation AUROCs were 0.84 for CLA3+ and 0.89 for CLA4. In validation, both achieved the highest integrated AUROC (0.83) and lowest integrated Brier scores (0.0078-0.0081) among non-invasive tests, with good calibration. CLA3+ classified 83.1%/10.8%/6.1% as low/intermediate/high risk (5-year LRE 0.4%/1.5%/11.8%; sensitivity 0.72), whereas CLA4 classified 92.0%/3.6%/4.4% (0.5%/4.7%/13.0%; specificity 0.93), with the smallest intermediate-risk groups. IDI favored CLA3+ over Agile3+, whereas CLA4 performed similarly to Agile4. Serial risk categories remained stable in 86.7% for CLA3+ and 93.2% for CLA4, while ≥10-30% decreases were associated with lower LRE risk. Two-step testing reduced intermediate classifications to 3.9% with FIB-4→CLA3+ and 1.4% with FIB-4→CLA4, with a 5-year LRE rate of 8.3% in the rule-in group.

CONCLUSIONS: CLA3+ and CLA4 provide well-calibrated estimates for advanced fibrosis and cirrhosis using controlled attenuation parameter, liver stiffness, and alanine aminotransferase, with small intermediate-risk groups and prognostically informative serial changes. They may serve as second-line tests within Fibrosis-4 index-based two-step pathways.

IMPACT AND IMPLICATIONS: Current MASLD care pathways use sequential non-invasive testing to identify patients at risk of advanced fibrosis and liver-related events, but existing composite scores often require multiple clinical inputs and leave substantial intermediate-risk groups. CLA 3+ and CLA 4 use CAP, liver stiffness, and ALT to achieve prognostic performance comparable to Agile scores, while yielding small intermediate-risk groups and informative serial changes. These findings support their potential use as simple second-line tools after FIB-4 and for longitudinal risk assessment in VCTE-based pathways, with relevance to clinical triage and future trial design.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.