Establishment of a Model for Predicting the Prognosis of HBV-related Decompensated Liver Cirrhosis Based on RFH-NPT

NCT05513651 | Active Not Recruiting

• 1 other identifier: XJTU1AF-CRF-2020-023
• Study Type: observational
• Target: 2,000
• Locations: 1 country
• Sites: 1

Brief Summary

For all countries, chronic liver disease and liver cirrhosis is one of the important disease burdens. Malnutrition is an important complication of liver cirrhosis, which always runs through the course of liver cirrhosis. According to a lot of scientific research evidence, as the consensus of experts all over the world, malnutrition in patients with liver cirrhosis is closely related to poor outcome. Therefore, early and accurate identification of the risk of malnutrition is very important to improve the prognosis of patients with liver cirrhosis. The purpose of this study was to study the relationship between malnutrition-related indexes and prognosis in patients with liver cirrhosis. 2000 patients with liver cirrhosis were prospectively included, laboratory indexes related to malnutrition and other evaluation indexes were recorded, and long-term follow-up was made to observe the short-term and long-term prognosis of patients with liver cirrhosis. At the same time, a prognostic prediction model was established based on multivariate Cox regression, and a series of in-depth studies and verification were carried out on this basis.

Conditions

Liver Cirrhosis; Malnutrition

Keywords

prediction; malnutrition; cirrhosis; prognosis

Outcome Measures

Primary Outcomes (2)

• All-cause mortality

  All-cause mortality is death caused by any cause.

  up to 10 years

• Liver-related mortality

  Liver-related mortality refers to death from any liver-related disease, such as liver cirrhosis, liver cancer and other related complications.

  up to 10 years

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Hospitalized patients with liver cirrhosis were recruited. In addition, healthy volunteers who had normal liver function and normal BMI were recruited and acted as controls.

You may qualify if:

• Hospitalized patients with liver cirrhosis

You may not qualify if:

• Patients who refuse the follow-up of outpatient department

Sponsors & Collaborators

• First Affiliated Hospital Xi'an Jiaotong University: lead

Study Sites (1)

First Affiliated Hospital Xi'an Jiaotong University

Xi'an, Shannxi, 710061, China

Location

Related Publications (1)

• Zhu C, Wu Y, Zhao F, Wang R, Zang Q, Jiao Z, Zhu Y, Yan T, Du J, Zhu L, Li W, Li Y, Fan Q, Wu A, Liu X, Liu D, Tang X, Xu X, Liao H, Li Y, Zhao Y, He Y, Yang Y. An RFH-NPT-based nomogram for predicting the long-term survival of liver cirrhosis patients: a multicenter study. Eur J Clin Nutr. 2025 Jul 29. doi: 10.1038/s41430-025-01648-4. Online ahead of print.

  PMID: 40731156 DERIVED

Biospecimen

Retention: SAMPLES WITH DNA

blood

MeSH Terms

Conditions

Liver Cirrhosis; Malnutrition; Fibrosis

Condition Hierarchy (Ancestors)

Liver Diseases; Digestive System Diseases; Pathologic Processes; Pathological Conditions, Signs and Symptoms; Nutrition Disorders; Nutritional and Metabolic Diseases

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: August 22, 2022
• First Posted: August 24, 2022
• Study Start: July 1, 2016
• Primary Completion: December 30, 2025
• Study Completion (Estimated): December 30, 2030
• Last Updated: April 3, 2024

Record last verified: 2023-12

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)