MRI Biomarkers in as Predictor of Clinical Endpoints in Pediatric Autoimmune Liver Disease

Recruiting now

Conditions studied: Autoimmune Liver Disease, Autoimmune Hepatitis, Primary Sclerosing Cholangitis

In brief

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.

Key facts

Study ID
NCT03178630
Run by
Children's Hospital Medical Center, Cincinnati
People needed
150
Starts
2017-02-20
Expected to finish
2031-02-01
Last updated by the study team
2024-12-12

Who can join

Age: 6 and older, up to 23. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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