Actively Recruiting
Exploration of a Novel Prognostic Prediction Model for Liver Cirrhosis
Led by Juan Kang · Updated on 2025-06-22
300
Participants Needed
1
Research Sites
204 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The liver, a key organ for metabolism and synthesis, is involved in protein, fat, and carbohydrate metabolism, as well as energy production. Hepatic injury and functional decline can lead to metabolic abnormalities in these three major nutrients, as well as in vitamins and trace elements. Malnutrition, one of the most common complications in cirrhosis patients, has a broader impact than traditional complications like hepatic encephalopathy, esophageal variceal bleeding, refractory ascites, and spontaneous bacterial peritonitis. It is closely related to patient prognosis. Therefore, malnutrition should be considered as important as ascites and hepatic encephalopathy in diagnosis and treatment, and nutritional metabolism should be incorporated into prognostic prediction models or scoring systems for cirrhosis patients. Currently, the nutrition assessment of cirrhosis patients mostly uses relatively subjective methods such as scales and scores. There is no specific gold-standard diagnostic criterion for malnutrition in cirrhosis patients. Also, existing prognostic models for cirrhosis patients do not adequately consider the impact of nutritional factors on disease prognosis. Metabolomics technology can detect changes in the types and levels of nutritional metabolites in cirrhosis patients and analyze the differences in nutritional metabolites under various nutritional statuses and their relationship with the prognosis of cirrhosis patients. This helps objectively reveal the predictive value of nutrition metabolism for the prognosis of cirrhosis patients. However, metabolomics has been rarely used in nutrition assessment studies of cirrhosis patients and merits further research. This study will employ a prospective cohort study design to analyze the baseline nutritional status of patients with liver cirrhosis, investigate the impact of nutritional factors on long-term prognosis, and develop a prognostic prediction model for liver cirrhosis that incorporates nutritional parameters.
CONDITIONS
Official Title
Exploration of a Novel Prognostic Prediction Model for Liver Cirrhosis
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Willingness and ability to sign the informed consent form
- Male or female, aged 18 to 75 years
- Diagnosis of liver cirrhosis according to Chinese Society of Hepatology guidelines
- Expected survival longer than 3 months
- Full civil competence
You will not qualify if you...
- Diagnosis of primary liver cancer or evidence of hepatic cancer nodules
- History of malignancy within 5 years before screening, except certain cured cancers
- Current or past major illnesses affecting treatment or assessment
- Severe pulmonary, cardiac, diabetic, or genetic metabolic diseases
- Psychiatric hospitalization, suicide attempts, or temporary disability from mental illness in past 5 years
- Pregnant or breastfeeding women
- Individuals considered unsuitable by the investigator
AI-Screening
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Trial Site Locations
Total: 1 location
1
The Second Affiliated Hospital of Chongqing Medical University
Chongqing, Chongqing Municipality, China, 401336
Actively Recruiting
Research Team
J
juan Kang, M.D.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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