"Agrippa Ionescu" Hospital
Bucharest, Romania
Location status: Recruiting
NCT Number: NCT06224023
The investigators aim to study the predictive value of presepsin in ascites in newly admitted patients with chronic liver failure.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Bucharest, Romania
Location status: Recruiting
Presepsin is a plasmatic cleaved fragment of CD14. CD14 is a toll like receptor who has the role to identify certain lipopolysaccharides on the surface of bacteria (aerobes and anaerobes), thus promoting an inflammatory response.
A study of 153 patients with liver cirrhosis published by a team of investigators from Iasi, Romania, has proven an useful role of plasma presepsin in early diagnosis of infections in patients in acute on chronic liver failure.
In addition, plasma presepsin has been proposed as an independent predictor of mortality in patients with decompensated liver cirrhosis, without concomitant bacterial infections.
Question to be answered by this study The investigators aim to evaluate the predictive role of ascites presepsin in patients with chronic liver failure.
Hypothesis Presepsin levels in ascites may have a prognostic role in patients with ascites and chronic liver failure.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
A diagnostic paracentesis will be performed and presepsin level will be determined in ascites.
Time frame: 6 months
Number of who deceased during admission or during the 180 days after admission divided by the number of patients who were admitted.
An analysis will be done to see if the presepsin levels are predictive for this event.
Time frame: 6 months
The number of patients diagnosed with SBP during admission divided by the total number of patients. An analysis will be done to see if the presepsin levels are predictive for this event.
Time frame: 6 months
Number of patients diagnosed with hepatic encephalopathy during admission divided by the total number of patients.
An analysis will be done to see if the presepsin levels are predictive for this event.
Time frame: 6 months
The number of patients diagnosed with any infection during admission divided by the total number of patients.
An analysis will be done to see if the presepsin levels are predictive for this event.
Contact information is provided by the study sponsor or research team.
Carol Davila University of Medicine and Pharmacy
Other
Acronym: PASS
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