Non-invasive Diagnostic Model of Liver Fibrosis Associated With NAFLD and Prediction of Prognosis

NCT ID: NCT03842748

Last Updated: 2019-02-15

Basic Information

• Recruitment Status: UNKNOWN
• Total Enrollment: 300 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2018-01-01
• Study Completion Date: 2021-12-30

Brief Summary

In a retrospective study, 200 patients with non-alcoholic fatty liver disease, fatty liver hepatitis, and fatty liver fibrosis have been identified for pathological diagnosis of liver histology and exclusion of other liver diseases. Before the liver biopsy were performed, these patients should detect liver function, coagulation function, renal function, blood glucose, blood lipids, liver elasticity measurement and imaging indicators and results, and demographic data. To evaluate the diagnostic ability of the current non-invasive diagnostic model of NAFLD fibrosis and the adaptability of model indicators to the diagnosis of enrolled patients, and to correct the indicators, including discarding unsuitable indicators and incorporating new indicators, and adjusting the diagnostic score. Establish a non-invasive diagnostic model for liver fibrosis in Beijing based on NAFLD. In a prospective observational study, 100 patients without other liver diseases and ultrasound-tested fatty liver were enrolled, and histopathological diagnosis of liver were included in the study, and liver function, coagulation function, renal function, blood glucose, and non-invasive model analysis were detected. Blood lipids, liver elasticity measurements, and imaging indicators were examined and demographic data were collected. The non-invasive diagnostic model established by retrospective study was used to diagnose fibrosis and its staging, compared with histopathological diagnosis, and adjusted the index of non-invasive diagnostic model to further revise and improve the diagnostic efficacy of the diagnostic model. Long-term follow-up observations were performed in the prospective observation cohort. The liver function, coagulation function, renal function, blood glucose, blood lipids, liver elasticity and imaging examination were performed during the observation period, and the treatment events and the progress of the patients were recorded. To explore the correlation and predictive ability of noninvasive diagnostic models for long-term outcomes of disease. Finally, a model for predicting the outcome of progression of liver fibrosis in NAFLD was established.

Detailed Description

This topic is a prospective - retrospective observational study including two parts, retrospective and prospective: in a retrospective study, 200 patients with non-alcoholic fatty liver disease, fatty liver hepatitis, and fatty liver fibrosis have been identified for pathological diagnosis of liver histology and exclusion of other liver diseases. The liver biopsy performed in the enrolled patients included liver function, coagulation function, renal function, blood glucose, blood lipids, liver elasticity measurement and imaging indicators and results, and demographic data. To evaluate the diagnostic ability of the current non-invasive diagnostic model of NAFLD fibrosis and the adaptability of model indicators to the diagnosis of enrolled patients, and to correct the indicators, including discarding unsuitable indicators and incorporating new indicators, and adjusting the diagnostic score. Establish a non-invasive diagnostic model for liver fibrosis in Beijing based on NAFLD. In a prospective observational study, 100 patients without other liver diseases and ultrasound-tested fatty liver were enrolled, and histopathological diagnosis of liver were included in the study, and liver function, coagulation function, renal function, blood glucose, and non-invasive model analysis were included. Blood lipids, liver elasticity measurements, and imaging indicators were examined and demographic data were collected. The non-invasive diagnostic model established by retrospective study was used to diagnose fibrosis and its staging, compared with histopathological diagnosis, and adjusted the index of non-invasive diagnostic model to further improve and improve the diagnostic efficacy of the diagnostic model. Long-term follow-up observations were performed on the prospective observation cohort. The liver function, coagulation function, renal function, blood glucose, blood lipids, liver elasticity and imaging examination were performed during the observation period, and the treatment events and the progress of the patients were recorded. To explore the correlation and predictive ability of noninvasive diagnostic models for long-term outcomes of disease. Finally, a model for predicting the outcome of progression of liver fibrosis in NAFLD was established.

Conditions

Non-alcoholic Fatty Liver Disease

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: OTHER

Study Groups

Retrospective study group

200 patients with non-alcoholic fatty liver disease, fatty liver hepatitis, and fibrosis have been identified for pathological diagnosis of liver histology and without other liver diseases. Before liver biopsy were performed, liver function, coagulation function, renal function, blood glucose, blood lipids, liver elasticity measurement, imaging indicators and demographic data were detected and recorded. To evaluate diagnostic ability of current non-invasive diagnostic model of NAFLD fibrosis and adaptability of model indicators to diagnosis of these patients, and correct the indicators including discarding unsuitable and incorporating new indicators and adjusting the diagnostic score. Establish a non-invasive diagnostic model for liver fibrosis in Beijing based on NAFLD.

No interventions assigned to this group

Prospective observational study group

100 patients without other liver diseases and ultrasound-tested fatty liver were enrolled, and histopathological diagnosis of liver were included , and liver function, coagulation function, renal function, blood glucose, and non-invasive model analysis, blood lipids, liver elasticity measurements and imaging indicators were examined and demographic data were collected. Adjusted the index of non-invasive diagnostic model to further revise and improve the diagnostic efficacy of diagnostic model. Long-term follow-up observations were performed in the prospective observation cohort. To explore the correlation and predictive ability of noninvasive diagnostic models for long-term outcomes of disease. Finally, a model for predicting the outcome of progression of liver fibrosis in NAFLD was established.

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

1. patients with non-alcoholic fatty liver, fatty liver hepatitis and fatty liver fibrosis: all meet the diagnostic criteria of China's "Guidelines for the Prevention and Treatment of Non-alcoholic Fatty Liver Diseases (2018 Update)";

2. Age between 18 and over 75;

3. patient were never treated with no hormones and / or immunosuppressants and other liver protection drugs.

Exclusion Criteria

1. combined with hepatitis virus infection;

2. autoimmune liver disease;

3. HIV infection;

4. long-term alcohol abuse and / or other liver damage drugs;

5. mental illness;

6. Evidence of liver tumors (liver cancer or AFP > 100 ng/ml);

7. decompensated cirrhosis;

8. Serious diseases such as heart, brain, lung, kidney, etc. can not participate in long-term follow-up.

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 75 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Beijing Municipal Administration of Hospitals

OTHER_GOV

Sponsor Role: lead

Responsible Party

Minghui Li

Head of Liver Diseases Center

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Minghui Li, master

Role: PRINCIPAL_INVESTIGATOR

Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University

Locations

Beijing Ditan Hospital, Capital Medical University

Beijing, Beijing Municipality, China

Site Status: RECRUITING

Countries

China

Central Contacts

Minghui Li, master

Role: CONTACT

wuhm2000@sina.com

8613693259096

Facility Contacts

Minghui Li, master

Role: primary

wuhm2000@sina.com

8613693259096

Other Identifiers

XXZ0302

Identifier Type: -

Identifier Source: org_study_id