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Published on: March 24, 2023
Screening for Nonalcoholic Fatty Liver Disease in the Primary Care Clinic
Vijay Pandyarajan1, Robert G Gish1, Naim Alkhouri1
1Dr Pandyarajan is a research fellow in the Division of Digestive and Liver Diseases in the Department of Medicine at the Cedars-Sinai Medical Center in Los Angeles, California. Dr Gish is a consulting professor of medicine in the Division of Gastroenterology and Hepatology in the Department of Medicine at Stanford University Medical Center in Stanford, California. Dr Alkhouri is director of the Metabolic Center at the Texas Liver Institute in San Antonio, Texas, and an associate professor of medicine in the Division of Gastroenterology at the University of Texas Health System in San Antonio, Texas. Dr Noureddin is director of the Cedars-Sinai Fatty Liver Program in the Division of Digestive and Liver Diseases in the Department of Medicine at the Comprehensive Transplant Center of the Cedars-Sinai Medical Center.
Abstract:
Nonalcoholic fatty liver disease (NAFLD) is a spectrum of diseases ranging from simple hepatic steatosis to nonalcoholic steatohepatitis (NASH) to advanced fibrosis and cirrhosis as well as liver cancer. Despite the significant morbidity associated with NAFLD, there are no global consensus guidelines to screen for liver fibrosis in patients considered high risk, including patients older than 50 years with type 2 diabetes or metabolic syndrome. Multiple therapies are currently being investigated and may soon receive regulatory approval for use in the clinic. It is suggested that patients at high risk for NAFLD be screened in the outpatient setting. This article aims to supply primary care providers (PCPs) with the knowledge and tools needed to properly evaluate a patient at high risk of developing significant liver disease from NASH. A tripartite algorithm is described to help PCPs identify patients with NAFLD using liver enzymes and abdominal ultrasound, assess the presence of advanced liver fibrosis using clinical prediction rules, and, if appropriate, determine when to refer patients to specialist care.
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