Predicting Acute-on-Chronic Liver Failure After Surgical Intervention in Chronic Liver Disease
Recruiting · NCT04578301 · Observational (researchers observe without assigning treatment) · Lead sponsor: University Hospital, Bonn
View the official record on ClinicalTrials.gov →Interventions studied
No Intervention
What this trial is about
Prospective, observational study to define precipitants and predictors of development of Acute-on-Chronic Liver Failure (ACLF) after surgical interventions, allowing to develop a risk stratification for elective procedures in cirrhotic patients. As well as identifying molecular mechanisms of post-interventional ACLF and thus preparing the ground for development of new therapeutic approaches.
Who can take part
Age range
18 Years and older
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)
Inclusion criteria
- Male or female adult (≥18 years) patient
- With or without liver cirrhosis (diagnosed either histologically or by a combination of clinical, laboratory and radiological signs)
- Or Non-cirrhotic portal hypertension
- Non-pregnant, non-lactating females
- Ability to understand the patient information and to personally sign and date the informed consent to participate in the study
- The patient is co-operative and available for the entire study
- Provided written informed consent
- Indication for surgical intervention
Exclusion criteria
- Pregnant or lactating females
- Patients undergoing surgery as form of palliative cancer therapy
- Presence or history of severe extra-hepatic diseases
- HIV-positive patients
- Previous liver or other transplantation
- Patients with acute or subacute liver failure without underlying cirrhosis
- Patients who decline to participate
- Physician´s denial (e.g. the investigator considers that the patient will not follow the protocol scheduled)
Where it is running
1 location listed.
- University Hospital Bonn - Bonn, Germany