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A Model Based on Computed Tomography Imaging Parameters to Predict Poor Survival in Patients With Liver Cirrhosis

NCT05208736 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2022-04-18

No results posted yet for this study

Summary

Cirrhosis, as the end stage of most chronic liver diseases, is an important clinical landmark portending high risk of death. Early identification and accurate prognostic scores is critical issue to improve survival rate. Loss of muscle mass and other body features, which can be determined from CT, have been associated with mortality in cirrhosis or hepatic carcinoma. In this study, we sought to investigate serial changes of CT imaging parameters, such as the skeletal muscle index (SMI), liver volume, adiposity density and so forth, to develop a new prognostic model for long-term motality in patients with liver cirrhosis. The final predictive model was developed under the Cox regression framework with MELD, Child-Pugh score, baseline and serial changes of CT imaging parameters. The discrimination of the new risk score was assessed by the overall C index.

Conditions

Sponsors & Collaborators

  • First Affiliated Hospital Xi'an Jiaotong University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-03-01
Primary Completion
2022-12-15
Completion
2023-03-15

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05208736 on ClinicalTrials.gov