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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.
Studie Overzicht
Toestand
Conditie
Gedetailleerde beschrijving
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.
Studietype
Inschrijving (Verwacht)
Contacten en locaties
Studie Locaties
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London, Verenigd Koninkrijk, WC1E 6HX
- Werving
- University College London Hospital
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Contact:
- Rajeshwar P Mookerjee, BScMRCPPhD
- Telefoonnummer: 02076796516
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Contact:
- Naina Shah, MBBSMRCP
- Telefoonnummer: 02076796516
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Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
Accepteert gezonde vrijwilligers
Geslachten die in aanmerking komen voor studie
Bemonsteringsmethode
Studie Bevolking
Beschrijving
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
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
Cohorten en interventies
Groep / 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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Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Tijdsspanne |
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Progress to ACLF
Tijdsspanne: hours, days
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hours, days
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Secundaire uitkomstmaten
Uitkomstmaat |
Tijdsspanne |
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Prognosticate ACLF
Tijdsspanne: Days
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Days
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Medewerkers en onderzoekers
Medewerkers
Onderzoekers
- Hoofdonderzoeker: Rajeshwar P Mookerjee, BScMRCPPhD, University College London Hospital
Studie record data
Bestudeer belangrijke data
Studie start
Primaire voltooiing (Verwacht)
Studie voltooiing (Verwacht)
Studieregistratiedata
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Schatting)
Updates van studierecords
Laatste update geplaatst (Schatting)
Laatste update ingediend die voldeed aan QC-criteria
Laatst geverifieerd
Meer informatie
Termen gerelateerd aan deze studie
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- 08/HO714/8
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