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Sponsor: Helsinki University Central Hospital
Conditions: NAFLD, Liver Cirrhosis, Diabetes Mellitus, Type 2
Interventions: Follow-up
Countries: Finland
The investigators investigate the heterogeneity fatty liver disease (FLD) as well as risk factors associated with progression of the liver diseases or development of cardiovascular complication. The overarching aim is to develop a AI-based prediction model that could be integrated into the electronic medical record system. To identify large numbers of unselected individuals with FLD, the investigators developed a phrase recognition algorithm, which identifies FLD using radiology reports. Within the data lake of Helsinki University Hospital, they identified a large number of individuals with or without FLD. The investigators will now randomly invite 1000-1500 individuals with FLD to a follow-up study including investigation of metabolism and progression of liver disease (elastography, blood tests) as well as gathering life-style information. Register data on previous diagnoses and medication will be used to evaluate cardiovascular disease.
Sex: ALL
Age: 25 Years to 70 Years
Healthy volunteers: No
Study type: OBSERVATIONAL
Inclusion Criteria: * Liver imaging results in the Helsinki University Hospital datalake 2010-2018 and a finding of fatty liver disease (without liver cirrhosis) * Age 25-70 years(20-60 yrs at the time of the index imaging (2010-2018) * Biobank consent with the Helsinki Biobank to be contacted for possible studies Exclusion Criteria: Liver cirrhosis at index imaging date; pregnancy; active treatment for cancer
- Helsinki, Finland