Derivation and Internal Validation of a Clinical Prediction Tool to Predict Nonalcoholic Fatty Liver Disease in Patients With Crohn's Disease.

ABSTRACT:

Background

Crohn's disease (CD) patients have more than double the risk of nonalcoholic fatty liver disease (NAFLD) compared with the general population after considering traditional risk factors. NAFLD remains underappreciated because routine imaging and liver biochemistries are neither sensitive nor specific for the diagnosis. Here we developed a Clinical Prediction Tool for NAFLD in CD (CPN-CD) using readily accessible parameters to diagnose NAFLD, as determined by magnetic resonance proton density fat fraction (PDFF).

Methods

A total of 311 consecutive CD patients who underwent magnetic resonance enterography from June 1, 2017, to May 31, 2018, were screened for NAFLD, defined as a PDFF >5.5% after excluding other liver diagnoses. CPN-CD was derived using binary multivar

SUBMITTER: McHenry S 

PROVIDER: S-EPMC8223244 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature