Researchers are assessing the prevalence of Non-alcoholic Fatty Liver Disease (NAFLD) and Nonalcoholic Steatohepatitis (NASH) in the population and assembling a well-characterized cohort of adults with NAFLD and NASH to validate models of NAFLD diagnosis and determine long-term outcomes.
Non-Alcoholic Fatty Liver Disease (NAFLD) is the most common cause of chronic liver disease in the world and a major public health issue in the US. Recent information on the prevalence of NAFLD in general and Non-Alcoholic Steatohepatitis (NASH) with fibrosis in particular is very scarce. Such information is crucial for defining the epidemiology of NAFLD, identifying risk factors for advanced fibrosis and longitudinal outcomes. This study will enroll a random sample of adults from Olmsted County, Minnesota, to validate machine learning models for NAFLD diagnosis and disease severity. These data would be fundamental for the development of screening strategies in the community, which are urgently needed for early diagnosis of liver fibrosis and therapeutic interventions before cirrhosis develops.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
800
Combines MRI imaging with sound waves to create a visual map (elastogram) showing the stiffness of body tissues.
Clinical blood tests with a focus on liver function parameters and diabetes
If indicated per MRE results a biopsy will be taken of the liver.
Mayo Clinic in Rochester
Rochester, Minnesota, United States
RECRUITINGPrevalence of NAFLD and NASH in the population
Number of subjects with NAFLD and NASH determined by the MRE
Time frame: 5 years
Long-term health outcomes
Number of participants to experience the development of NAFLD, NASH, NASH cirrhosis complications, liver transplant, cardiovascular events, cancers or death
Time frame: 5 years
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If indicated per MRE results a fibroscan will be performed of the liver.