Active clinical trials for "Liver Diseases"

The primary objective of this study is to evaluate to provide evidence to establish tightly defined cut-offs to identify patients for NASH clinical trial inclusion using cT1 and/or PDFF. The study will be divided into 2 sub groups comprising of cases and controls.

In 2019, the number of patients with diabetes was about 463 million in the world, accounting for 8.3% of the total population, and it is expected to rise to 578 million (9.2%) by 2030 and 700 million (9.6%) by 2045. According to the WHO diagnostic criteria, the prevalence of diabetes among adults in China from 2015 to 2017 was 11.2%, of which over 90% were type 2 diabetes mellitus (T2DM). The global prevalence of non-alcoholic fatty liver disease (NAFLD) is also very high, which was approximately 25% in 2016. The prevalence of NAFLD may continue to rise. NAFLD is often accompanied by clinical manifestations of metabolic syndrome, such as obesity, T2DM, hyperlipidemia and hypertension.

Chronic liver disease is a global public health problem. Without timely diagnosis and treatment, chronic liver disease can progress to hepatitis, liver fibrosis, and cirrhosis, while causing a variety of complications such as gastrointestinal bleeding, hepatic encephalopathy, hepatorenal syndrome, and liver cancer. Early detection and treatment can slow down the progression of chronic liver disease and reduce the burden of patients. This study intends to construct a retrospective-prospective cohort of patients with chronic liver disease by building a multicenter collaborative network to study the disease characteristics, progression patterns, clinical features, natural course and long-term prognosis of chronic liver disease of different etiologies.

Alcoholic hepatitis is a disease with a high mortality rate with few treatment options improving survival. Recently certain bacterial strains has been correlated to survival in patients with alcoholic hepatitis. In the BATTLE-trial the investigators will investigate if certain bacteria are correlated to decreased chance of survival in patients with alcoholic hepatitis.

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide, affecting more than 25 % of the population globally. Approximately 20 % - 25 % of NAFLD patients can develop nonalcoholic steatohepatitis (NASH), which leads to more rapid progression from fibrosis to cirrhosis, and even liver failure or hepatocellular carcinoma (HCC). Early detection and treatment may halt or reverse NAFLD progression. Although liver biopsy has been the well-accepted clinical reference standard for both diagnosis and staging of the different histological changes in NAFLD, this procedure is invasive with complications such as bleeding and infection, and is unreliable for quantifying steatosis due to sampling errors. Magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) currently has been accepted as the preferred alternative to the histological assessment of hepatic steatosis in patients with NAFLD. Magnetic resonance elastography (MRE) provide additional information of inflammation and fibrotic components of NAFLD. However, important limitations hinder the widespread clinical application of MRI, including high cost, low availability, long scan times and exclusion of patients with metal implants. Ultrasound (US) has been recommended by several guidelines as the first-line screening tool for patients at risk of NAFLD. The developed ultrasound-derived fat fraction (UDFF) is designed to assess hepatic steatosis by estimating the frequency-dependent attenuation coefficient (AC) and backscatter coefficient (BSC) through processing acoustic radiofrequency (RF) signals returned from the liver tissue as fat vesicles in hepatocytes have a different characteristic impedance compared to normal liver tissue. UDFF is available on the Acuson Sequoia ultrasound system (Simens Healthineers, Mountain View, CA, USA), with reference to integrated phantom data to correct for system impact, and produces a UDFF value presented as a fat fraction (%), which is potentially related to MRI-PDFF and can be directly compared with MRI-PDFF. In addition, automatic point shear wave elastography (auto-pSWE) is available on the Acuson Sequoia ultrasound system to obtain liver stiffness measurement (LSM) for assessing hepatic fibrosis, simultaneously with UDFF measurement. The prospective, multicenter study aims to evaluate the efficiency of UDFF as a quantitative non-invasive alternative for NAFLD.

The purpose of this study was to use machine learning to explore a more precise classification of NAFLD subgroups towards informing individualized therapy.

This research study is creating a way to collect and store specimens and information from participants who may be at an increased risk of developing cancer, or has been diagnosed with an early phase of a cancer or a family member who has a family member with a precursor condition for cancer. The objective of this study is to identify exposures as well as clinical, molecular, and pathological changes that can be used to predict early development of cancer, malignant transformation, and risks of progression to symptomatic cancer that can ultimately be fatal. The ultimate goal is to identify novel markers of early detection and risk stratification to drive potential therapeutic approaches to intercept progression to cancer.

Quantitative MRI scanning parameters such as T1 mapping, T2 mapping, T1ρ, and elastography are used, combined with clinical and laboratory indicators, to predict the risk of liver cancer in patients with cirrhosis.

Liver cirrhosis is a common serious chronic disease. There are about 123 million patients with liver cirrhosis worldwide, and about 1 million people die of liver cirrhosis every year. The proportion of bacterial infection in hospitalized patients with liver cirrhosis is between 25% and 46%, among which spontaneous bacterial peritonitis (SBP) is the most common type of infection in patients with liver cirrhosis. After early and reasonable diagnosis and treatment, the mortality of cirrhotic patients with SBP can be reduced from more than 90% to about 20%. Therefore, rapid and accurate diagnosis is of great help to improve the prognosis of cirrhotic patients with SBP. However, at present, the traditional detection methods is time-consuming with a low detection rate, and can not detect intracellular bacteria and some other types of pathogens. Next-generation sequencing (NGS) is a relatively new detection technology which can detect the nucleic acid sequence information in a high-throughput, large-scale way. It can detect the pathogens comprehensively, fast and accurately. In recent years, NGS has gradually transitioned from a research tool to a diagnostic method. Many studies have shown that NGS has better application value in bloodstream infections, ocular infectious diseases, central nervous system infectious diseases and respiratory infectious diseases. However, there is still a lack of research on the use of NGS for the detection of pathogenic microorganisms in ascites. Therefore, by comparing the next generation sequence (NGS) and traditional detection technology in the detection of pathogens in ascites, this study aimed to evaluate the value of NGS in the pathogenic diagnosis of ascites infection.

In this study we plan to demonstrate that ethanol induces skeletal muscle autophagy to degrade MAA adducts.