Predicting Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) in Primary Care

Date Added
March 6th, 2026
PRO Number
Pro00148457
Researcher
Andrew Schreiner

List of Studies


Keywords
Healthy Volunteer Studies, Hepatology, Metabolism, Non-interventional
Summary

To improve the diagnosis of metabolic dysfunction-steatotic liver disease (MASLD) in primary care, this study will develop, test, and internally validate a predictive model for MASLD in a cross-sectional sample of patients with no known chronic liver disease. Patient metabolic variables, like weight, blood pressure, and blood sugar will be considered for inclusion in the model, and ultrasound-based vibration-controlled elastography will be used for determining the outcome. This work will dramatically enhance MASLD diagnosis and management in primary care.

Institution
MUSC
Recruitment Contact
Chloe Cooper
843-876-0448
coopechl@musc.edu



-- OR --