Recruiting
MRI Biomarkers in as Predictor of Clinical Endpoints in Pediatric Autoimmune Liver Disease
Autoimmune liver diseases (AILD), which include Primary Sclerosing Cholangitis (PSC) and Autoimmune Hepatitis (AIH) are a common etiological factor for chronic liver disease among adolescents. This is a longitudinal study to identify surrogate endpoints with an accurate predictive value for the progression of hepatobiliary damage in subjects with pediatric onset AILD. This study will involve collection of MRI-based data at the time of enrollment and at year 1 and 2 of follow up, and collection of clinical data for 10 years following enrollment. There is a strong possibility that MRI quantitative techniques may be more sensitive to disease progression than standard clinical and laboratory tests. To investigate predictivity of MRI based biomarkers, summary measures of MRCP/MREL from baseline, Year 1 and Year 2, e.g. change rate, maximum, and average will be calculated as predictors for Year 10 clinical outcomes. The same predictors will also be used to model native liver survival in a proportional hazard regression. Findings from this study may be used to assess disease progression and to predict complications and survival of liver disease patients.