Integrated Diagnostics for Early Diagnosis of Liver Disease
- Conditions
- Non-alcoholic SteatohepatitisNon-Alcoholic Fatty Liver DiseaseLiver FibrosesAlcoholic Liver Disease
- Registration Number
- NCT04666402
- Lead Sponsor
- Manchester University NHS Foundation Trust
- Brief Summary
This is an observational study that will explore the hypothesis that by combining data from patients with liver disease with novel blood biomarkers, single nucleotide polymorphism (SNP) analysis and faecal microbiome analysis. The Investigators will improve diagnosis of liver fibrosis compared to the current available diagnostic tools.
- Detailed Description
Liver disease is a silent epidemic. Four in ten people in the North West are likely to have evidence of liver disease. A small but significant proportion of these patients develop scarring, leading to end-stage cirrhosis. All too frequently this is detected in very advanced stages, where treatment cannot reverse the condition. It is one of the UK's largest health challenges. At present clinicians use a wide range of single tests that individually struggle to identify disease and high-risk patients early.
The Investigators are implementing a new pathway for the assessment of patients with abnormal liver blood tests or high risk for liver disease. This novel pathway will allow assessment of patients in Community Liver Assessment Clinics (CLAC) with the expectation that only 20% of patients assessed would need to be seen in secondary care for further assessment. The investigators expect, to be assessing, 750 patients per year in this pathway. This pathway will bring together a large group of patients with liver disease. As part of the clinical assessment the investigators will be undertaking investigations to diagnose disease and assess extent. This will generate significant information, that the investigators currently use in isolation to make the aforementioned assessments. In this study, the investigators would like to bring together all this data into a curated database. To this end, the investigators would offer all patients who attend the CLAC for clinical need to enrol into the study. This would generate a database to combine all data, alongside some other, non-invasive tests, done alongside routine clinical tests.
This project will address this lack of answers by teaming up with innovative companies to make software that joins together a wide range of different tests to make an algorithm to detect disease earlier.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 1200
- All patients referred to Community Liver Assessment Clinic.
- Male or female > 18 years of age.
- Females will be non-pregnant and non-lactating.
- Age < 18 years.
- Pregnancy/breast-feeding. Women of childbearing potential (not >2 years post- menopausal and/or not surgically sterilised) must have a negative blood serum pregnancy test.
- Isolated bilirubinaemia.
- Known pre-existing liver disease.
- Acutely unwell.
- Suspected malignancy.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Reduction in patient numbers requiring secondary care appointments for the investigation of advanced liver fibrosis. At study completion; within 3 years Our project aims to identify patients with liver fibrosis in the community and only those with evidence of advanced fibrosis or cirrhosis being triaged on into secondary care hepatology services.
- Secondary Outcome Measures
Name Time Method To define the metrics involved in the diagnosis of advanced liver fibrosis or cirrhosis At study completion; Within 3 years Through combining the data from basic clinical bloods such as LFTs, non-invasive scoring systems such as FIB-4 and NAFLD fibrosis scores along with the novel biomarkers, we will use this data through AI to develop algorithms that will aid the diagnosis of advanced fibrosis/cirrhosis.
Trial Locations
- Locations (1)
Manchester University NHS Foundation Trust
🇬🇧Manchester, Greater Manchester, United Kingdom