- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01071746
Predictive Utility of DASIMAR as a Prognostic Biomarker in Acute-on-chronic Liver Failure (ACLF) (DASIMAR)
The Predictive Utility of the Dimethylarginines and Ischemia Modified Albumin as Prognostic Biomarkers in Patients With Acute-on-chronic Liver Failure
Patients with acute on chronic liver failure have a risk of developing multiorgan failure and a high mortality. The current scoring systems defining the outcome of patients with acute decompensation of cirrhosis fail to identify patients that progress to Acute-on-chronic liver failure (ACLF).
The aim of the study is to evaluate if one can identify these patients early on with the proposed biomarkers: dimethylarginines and ischemia modified albumin.
Study Overview
Status
Conditions
Detailed Description
Patients with acute-on-chronic liver failure (ACLF) are at risk of multiorgan failure and high mortality. Recent data suggest that patients with decompensated liver cirrhosis have higher ADMA (asymmetrical dimethylarginine) levels compared to compensated cirrhosis and plasma ADMA levels correlate with severity of liver dysfunction and inflammation. There is also an increase in symmetric dimethylarginine (SDMA), a stereo-isomer of ADMA, which is largely excreted by the kidney. Plasma SDMA levels have been shown to be associated with patients
progressing to renal failure. In a pilot study by our group involving 52 patients with acute decompensation of chronic liver disease, we showed an increase in the summed product of ADMA and SDMA, which we termed dimethylarginine score ('DAS'): This was shown to have a good predictive utility for outcome in this small group of patients (AUROC=0.89).
Furthermore, we and others have shown that albumin of patients with advanced liver disease has widespread abnormalities. The amount of albumin that is found to have reduced metal binding capacity as a consequence of oxidative damage is termed Ischemia Modified Albumin (IMA).
Our data shows that patients with ACLF who die have a significantly increased IMA/serum albumin ratio (IMAR). The summation of these two pathologically relevant biomarkers (DAS+IMAR) we termed DASIMAR and found this score to have a better predictive utility than DAS alone (AUROC:0.91).
Primary objective : To identify the patients early on that progress to ACLF which would facilitate a goal directed therapeutic approach.
Secondary objective : Generation of this dataset will further define and enable prognostication of ACLF. If this study reveals a role for these biomarkers in patients with ACLF, commercial development of simple kits may be possible.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
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London, United Kingdom, WC1E 6HX
- Recruiting
- University College London Hospital
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Contact:
- Rajeshwar P Mookerjee, BScMRCPPhD
- Phone Number: 02076796516
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Contact:
- Naina Shah, MBBSMRCP
- Phone Number: 02076796516
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All patients with an acute clinical decompensation of presumed cirrhosis (elevated bilirubin >85 µmol/L, or/and increasing ascites or/and hepatic encephalopathy < grade 2) related to a clear precipitating event (e.g. infection, bleeding, alcoholic hepatitis, exposure to hepatotoxin)
Exclusion Criteria:
- Admission for reasons other than decompensation of cirrhosis (other co-morbid diseases, especially established cardiovascular or renal disease (U/S).
- Malignancy (extra-hepatic or a hepatocellular carcinoma).
- Patients who have undergone major surgery or have unsolved surgical problems.
- Pregnancy
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
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Acute decompensation of cirrhosis
acute decompensation of liver function occuring secondary to precipitating events such as sepsis, GI bleed.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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Progress to ACLF
Time Frame: hours, days
|
hours, days
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Prognosticate ACLF
Time Frame: Days
|
Days
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Rajeshwar P Mookerjee, BScMRCPPhD, University College London Hospital
Study record dates
Study Major Dates
Study Start
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 08/HO714/8
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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