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Trial record 113 of 339 for:    hepatitis b | Recruiting, Not yet recruiting, Available Studies

Cost Effective Non Invasive Diagnostic Modalities and Predictive Model for Development and Progression of Fibrosis Among Patients With Hepatitis B, Hepatitis C Infection or Non Alcoholic Fatty Liver Disease

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ClinicalTrials.gov Identifier: NCT02658786
Recruitment Status : Recruiting
First Posted : January 20, 2016
Last Update Posted : February 8, 2018
Sponsor:
Information provided by (Responsible Party):
Institute of Liver and Biliary Sciences, India

Brief Summary:

Chronic liver diseases of differing etiologies are among the leading causes of morbidity and mortality worldwide [1]. Chronic liver disease progresses through different pathological stages that vary from mild hepatic inflammation without fibrosis to advanced hepatic fibrosis and cirrhosis [2]. Assessment of the stage of liver disease is important for diagnosis, treatment, and follow-up both during treatment and after cessation of treatment. A liver biopsy is the oldest and most accurate method used to evaluate liver histology and the progression of chronic liver disease. Furthermore, different histological scoring systems have been developed and modified [3]. A liver biopsy is considered the gold standard for assessing liver histology [4]. During the pathological progression of liver fibrosis, excessive amounts of extracellular matrix build up; furthermore, serum levels of various biomarkers change, in addition to the appearance of new biomarkers in the serum during the different stages of fibrosis [2, 5]. Recently many noninvasive markers (NIMs) for assessing liver fibrosis have been developed, and they are frequently used in clinical practice. They have been validated in different studies, and some were found to be highly accurate in the assessment of liver fibrosis compared with liver biopsies [6-7], which have always been used as the standard reference method for evaluating the accuracy of noninvasive methods. There are limited studies documenting the cost effectiveness of non invasive markers over invasive technique.

Most people with chronic Hepatitis B or C are unaware of their infection, putting them at serious risk of developing cirrhosis or liver cancer which are life threatening. Similarly patients with non alcoholic fatty liver diseases are unaware about fibrosis in liver. About 20-50% of persistent infection ends up into fibrosis and finally cirrhosis. Invasive and non invasive diagnostic methods are widely used to detect the fibrosis. Clinicians use different drugs and combinations to treat HBV and HCV infections. However, there is scarcity of a longitudinal prospective study to assess the cost effectiveness of these diagnostic measures.

We planned to conduct a retrospective followed by prospective cohort study among all cases that underwent biopsy in ILBS or GB Pant Hospital since 2000 till Dec 2020 with HBV infection, HCV infection, or non alcoholic fatty liver disease. For retrospective cohort study, we will collect data from hospital information system for all patients with HBV infection, HCV infection, or non alcoholic fatty liver disease, who underwent biopsy during the period of 2000-Dec 2015. The new patients with HBV infection, HCV infection, or non alcoholic fatty liver disease who will undergo biopsy during the period Jan 2016- Dec 2020 will serve as a cohort for prospective design.

We will collect socio-demographic data, clinical data, family history, personal history, medical history, anthropometry, biochemical and radiological data from each patient. We will also be conducting a cost effective analysis for various non invasive markers against biopsy as a gold standard in predicting fibrosis, both for retrospective and prospective cohorts.

For prospective cohort study, after evaluation of baseline biopsy results, the cases with metavir fibrosis score (F0-3) will be followed for a period of 5 years to document incidence of development and progression of fibrosis.

No additional investigation or test will be asked to the patient for the study. We will also develop a predicting model for development and progression of fibrosis.


Condition or disease
HBV NAFLD HCV

Study Type : Observational
Estimated Enrollment : 3000 participants
Observational Model: Cohort
Time Perspective: Prospective
Official Title: Cost Effective Non Invasive Diagnostic Modalities and Predictive Model for Development and Progression of Fibrosis Among Patients With Hepatitis B, Hepatitis C Infection or Non Alcoholic Fatty Liver Disease: A Hospital Based Retrospective Followed by Prospective Cohort Study
Study Start Date : January 2016
Estimated Primary Completion Date : December 2020
Estimated Study Completion Date : December 2020


Group/Cohort
Hepatitis B patients
Biopsy proven Hepatitis B virus infected cases will be followed for the period of 5 years
Hepatitis C patients
Biopsy proven Hepatitis C virus infected cases will be followed for the period of 5 years
Non Alcoholic Fatty liver Disease patients
Biopsy proven Non Alcoholic Fatty liver Disease patients cases will be followed for the period of 5 years



Primary Outcome Measures :
  1. Incidence rate of development & progression of fibrosis will be calculated. [ Time Frame: 5 years ]
    Unit development and progression of fibrosis per person year.


Secondary Outcome Measures :
  1. A predictive model for development & progression of fibrosis [ Time Frame: 5 years ]
    Predictive model will be developed utilizing multiple regression analysis.

  2. Validation of Non invasive markers for development and progression of fibrosis [ Time Frame: 5 years ]
    Non invasive markers like ALT; AST/ALT ratio; AST/platelet ratio (APRI); Forns index; FIB-4 score; The FibroQ test; NAFLD fibrosis score; Lok Index and LSM (TE) will be calculated and tested against biopsy findings using ROC analysis.

  3. Cost effective analysis for non invasive markers [ Time Frame: 5 years ]
    Cost effective analysis will be done utilizing direct cost



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Ages Eligible for Study:   18 Years to 60 Years   (Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Probability Sample
Study Population
Cases with Hepatitis B or Hepatitis C infection and Cases with non alcoholic fatty liver disease attending OPD or admitted in ward at ILBS, New Delhi
Criteria

Inclusion Criteria:

  • Age 18 years and above
  • Patients who underwent liver biopsy with underlying etiology as HBV, HCV, NASH or cryptogenic or ALD (inpatient or outpatient)
  • Metavir Fibrosis Score F0-3 for prospective study design

Exclusion Criteria:

  • Not willing to participate in the study
  • Patients with chronic liver disease of other

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02658786


Contacts
Contact: Dr Ajeet Singh Bhadoria, MD 011-46300000 ext 16501 ajeetsinghbhadoria@gmail.com

Locations
India
Institute of liver and Biliary Sciences Recruiting
New Delhi, Delhi, India, 110070
Contact: Dr Ajeet Singh Bhadoria, MD    +91-11-01146300000 ext 16501    ajeetsinghbhadoria@gmail.com   
Sponsors and Collaborators
Institute of Liver and Biliary Sciences, India
Investigators
Principal Investigator: Dr Ajeet Singh Bhadoria, MD Institute of Liver and Biliary Sciences

Responsible Party: Institute of Liver and Biliary Sciences, India
ClinicalTrials.gov Identifier: NCT02658786     History of Changes
Other Study ID Numbers: ILBS-cohort-001
First Posted: January 20, 2016    Key Record Dates
Last Update Posted: February 8, 2018
Last Verified: December 2017
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: No

Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No

Additional relevant MeSH terms:
Hepatitis
Hepatitis C
Hepatitis B
Hepatitis, Viral, Human
Liver Diseases
Fatty Liver
Non-alcoholic Fatty Liver Disease
Digestive System Diseases
Virus Diseases
Flaviviridae Infections
RNA Virus Infections
Hepadnaviridae Infections
DNA Virus Infections