The goal of this observational study is to create a detailed virtual model to better understand how Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) develops. This model will also help predict heart problem at different stage of the disease.
- Clinical Use Case 1: Liver disease staging in MASLD patients - Prediction model of fibrosis changes (progression and regression), with ability to distinguish between fast and non-fast fibrosis progression among MASLD patients.
Age ≥18 years
Diagnosis of MASLD confirmed by radiological imaging (any type: MR, CT, PET, VCTE, US, USE...) or histology (gold standard, following MASH SAF score)
With at least one follow-up of minimum 1 year after diagnosis of MASLD, with radiological imaging or histology
- Clinical Use Case 1: Liver disease staging in MASLD patients - Prediction model of fibrosis changes (progression and regression), with ability to distinguish between fast and non-fast fibrosis progression among MASLD patients.
Missing data on blood glucose, BMI and metabolic status.
Patients who have received systemic chemotherapy
Patients with hepatitis B (HBV) and hepatitis C (HCV), alcoholic liver disease (more than 5 years of drinking history, equivalent to alcohol volume ≥ 30g / D in male and ≥ 20g / D in female), drug-induced liver disease or autoimmune hepatitis.
Hospital Universitari Vall d'Hebron Research Institute
Lead sponsor
Matical Innovation SL
Collaborator
Assistance Publique - Hôpitaux de Paris
Collaborator
Jena University Hospital
Collaborator
Institut National de Recherche en Informatique et en Automatique
Collaborator
German Cancer Research Center
Collaborator
MEDEX
Collaborator
EUROPEAN LIVER PATIENTS ASSOCIATION
Collaborator
Betthera s.r.o.
Collaborator
Bournemouth University
Collaborator
University Hospital Heidelberg
Collaborator
Fundacion Para La Investigacion Hospital La Fe
Collaborator
University of Roma La Sapienza
Collaborator
Charite University, Berlin, Germany
Collaborator
Medical University of Vienna
Collaborator
Saint-Luc University Hospital
Collaborator
University of Freiburg
Collaborator
University of Leipzig
Collaborator
Sheba Medical Center
Collaborator
Imperial College London
Collaborator