Open AccessDerivation and Internal Validation of a Clinical Prediction Tool to Predict Nonalcoholic Fatty Liver Disease in Patients With Crohn’s Disease
Author(s) -
Scott McHenry,
Ankita Tirath,
Richard Tsai,
Yeshika Sharma,
Avegail Flores,
Nicholas O. Davidson,
Kathryn J. Fowler,
Matthew A. Ciorba,
Parakkal Deepak
Publication year - 2020
Publication title -
inflammatory bowel diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.932
H-Index - 146
eISSN - 1536-4844
pISSN - 1078-0998
DOI - 10.1093/ibd/izz324
Subject(s) - nonalcoholic fatty liver disease , medicine , gastroenterology , fatty liver , logistic regression , body mass index , disease , steatosis , crohn's disease , population , environmental health
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).