We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Sekisui Diagnostics

Download Mobile App




Hepatitis Patients at Risk of Developing Cirrhosis Identified

By HospiMedica staff writers
Posted on 07 May 2007
A new test for liver disease is based on each individual's genetic makeup. More...
The genetic test can identify patients who are at high risk of developing cirrhosis from chronic hepatitis C infection. That means high-risk patients could be directed toward a long course of expensive, debilitating drug therapy, while low-risk patients might be better off delaying treatment.

The Stanford University (Stanford, CA, USA) group was one of three universities to determine that a genetic test can identify patients who are at high risk of developing cirrhosis from chronic hepatitis C infection. Management of cirrhosis patients is challenging, said Ramsey Cheung, M.D., associate professor of medicine at the school and chief of hepatology at the Palo Alto Veterans Affairs Health Care System (CA, USA), who led the Stanford arm of the study. This test is the first of its kind to use the genetic makeup of each patient to determine who is likely to develop cirrhosis. High-risk patients should be targeted for early treatment.

The test looks at variations of seven genes, and was developed by Celera (Rockville, MD, USA). Dr. Cheung is the senior author of the study, which will be published in the April 27, 2007, advance online issue of the journal Hepatology. Dr. Cheung is a consultant for Celera, which also funded the study.

Current therapy for hepatitis C unfortunately is very expensive, has multiple side effects and a suboptimal response rate for most patients, said Dr. Cheung. Treatment includes weekly injections of alpha interferon along with the drug ribavirin, which can cost more than US$30,000 per year and can cause flu-like symptoms, nausea, depression, and other side effects. Only half of the patients undergoing this therapy will be cured of the infection.

Nearly 4 million Americans are infected with the hepatitis C virus, of which nearly 80% have a chronic infection, according to the American Liver Foundation. Chronic infection can lead to the severe scarring known as cirrhosis, which in turn may result in liver cancer or liver failure. Hepatitis C infection is the most common reason people need a liver transplant in the United States and is responsible for between 8,000 and 10,000 U.S. deaths annually.

In the majority of people chronically infected with hepatitis C, the virus causes either no symptoms or vague, nonspecific ones. In around one-third of people chronically infected with the virus, the disease progression is slow and they may never develop cirrhosis, even after decades of infection.

The dilemma physicians face, explained Dr. Cheung, is deciding who to treat and who can wait for better therapies to come along. The key is being able to determine which patients are likely to see the infection progress to cirrhosis. Doctors consider such factors as age, gender, and alcohol consumption to predict such risk, but because of individual variability, these factors do not yield a very accurate prediction. A liver biopsy can indicate the amount of damage to the liver up until the time of the biopsy, but cannot reveal how much future damage will occur.

The lead author of the paper is Hongjin Huang, Ph.D., associate director of liver diseases at Celera in Alameda, (CA, USA). Dr. Huang and her Celera colleagues developed the test by initially scanning the DNA of more than 1,000 people who had hepatitis C. Out of 25,000 genetic variations tested, the researchers discovered seven that could be used together as a signature for predicting progression to cirrhosis in Caucasians.

The resulting gene signature--the Cirrhosis Risk Score-- was then independently validated on 154 hepatitis C patients at Stanford, the University of Illinois-Chicago, and California Pacific Medical Center. Among patients with early-stage liver disease, the researchers were able to divide them into a high-risk category based on their gene pattern, compared with those who had low-risk gene patterns.

The Cirrhosis Risk Score was superior to the known clinical factors, such as alcohol consumption, in predicting the risk of developing cirrhosis, said Dr. Cheung.
This test allows both physicians and patients to make an intelligent decision about the urgency of beginning antiviral therapy, he said. If a patient turns out to be low-risk, we might advise the patient to consider deferring treatment, avoiding unnecessary side effects, and the expense of current therapy.


Related Links:
Stanford University
Celera

Gold Member
Handheld Blood Glucose Analyzer
STAT-Site
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Syringe Pump
SP50 Series
Vessel Sealing Instrument
ERGOseal
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Artificial Intelligence

view channel
Image: Clinical LLM Performance Improves by >300% When Provided with High-Quality Real-World Evidence in New Precision Medicine Benchmark (Photo courtesy of Atropos Health)

New Benchmark Highlights Evidence Gaps in AI Responses to Clinical Questions

Many clinical decisions still rely on limited evidence, while most artificial intelligence benchmarks overlook the patient context that shapes real-world care. General large language models can also struggle... Read more

Critical Care

view channel
Image Credit: Adobe Stock

New ECG Foundation Model Enables Broad Cardiac Diagnosis and Risk Prediction

Electrocardiograms are central to cardiovascular decision-making, but conventional artificial intelligence models are often trained for narrow tasks, such as detecting a single arrhythmia.... Read more

Point of Care

view channel
Image Credit: 123RF

Continuous Glucose Monitoring Identifies Cardiometabolic Risk in Adults Without Diabetes

Dysglycemia—abnormal blood glucose regulation—can fluctuate throughout the day and often escape conventional screening. Clinicians typically rely on fasting plasma glucose and hemoglobin A1c, which offer... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.