Open AccessSimple diagnostic algorithm identifying at-risk nonalcoholic fatty liver disease patients needing specialty referral within the United States
Author(s) -
Naim Alkhouri,
Pankaj Aggarwal,
Phuc Le,
Julia Y. Payne,
Celine Sakkal,
Prido Polanco,
Stephen A. Harrison,
Mazen Noureddin
Publication year - 2022
Publication title -
world journal of hepatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 55
ISSN - 1948-5182
DOI - 10.4254/wjh.v14.i8.1598
Subject(s) - medicine , nonalcoholic fatty liver disease , population , fatty liver , gastroenterology , diabetes mellitus , steatohepatitis , algorithm , disease , endocrinology , environmental health , computer science
There is an urgent need to risk stratify patients with suspected nonalcoholic fatty liver disease (NAFLD) and identify those with fibrotic nonalcoholic steatohepatitis. This study aims to apply a simple diagnostic algorithm to identify subjects with at-risk NAFLD in the general population.