Exploratory Analysis of Enhanced Liver Function (ELF) Test to Detect Early Fatty Liver in High Risk Population

NCT ID: NCT06225193

Last Updated: 2025-06-27

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-06-20

Study Completion Date

2026-06-23

Brief Summary

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In this initial investigator-initiated retrospective study, aim to analyze the enhanced liver fibrosis (ELF) scores in this high-risk population for NAFLD/nonalcoholic steatohepatitis(NASH)-related fibrosis. Study define 'high-risk' to include metabolic syndrome, which can be further defined by an atherosclerotic cardiovascular disease (ASCVD) score \>7.5, any diagnosis of hyperlipidemia, history of coronary artery disease, history of heart failure, hypertension and/or type 2 diabetes. Study would also like to compare the performance of this score with historical methods of fibrosis assessment, where applicable, including vibration-controlled transient elastography, magnetic resonance elastography, blood markers and liver biopsy. Study will assess the impact of ELF scores on predicting liver events in the time, have used it and determine if diet, lifestyle changes and/or pharmacotherapy will improve serial ELF scores. Will also seek to understand how ELF scores are distributed in our community.

Detailed Description

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Methodist Health System consists of nine hospitals and over one hundred clinics that serve 7% to 10% of patients in the Dallas metropolitan. In November 2021, adopted the use of ELF tests in patients who had risk factors for NAFLD/NASH based on abnormal liver enzymes, metabolic risk factors, and evidence of hepatosteatosis on imaging. There is a knowledge gap in the literature when it comes to ELF scores in our population and the data we collect in this study will contribute to filling that knowledge gap.

Historically, assessment of fibrosis has been accomplished with FibroScan,elastography or liver biopsy. However, these tests are not widely available in most clinics, and can be invasive and costly. At present, the two primary inexpensive and non-invasive alternatives are the fibrosis-4 (FIB-4) and ELF scores, which employ algorithms that utilize routine lab draws. While a low FIB-4 score has a negative predictive value of 90% for advanced fibrosis, it does not provide a risk assessment of liver-related events. For this reason, the study explore the newer ELF serum test as a non-invasive, more affordable and available means to detect patients with developing fibrosis and as a predictor of liver-related outcomes that could be easily used in a primary care setting. This will better risk-stratify this patient population at the primary care level, without need for invasive and expensive testing, and will guide appropriate referrals to Hepatology.

Conditions

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Fatty Liver

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Age: ≥ 18 years
* NAFLD/NASH and non-NAFLD/NASH patients who have had an assessment with ELF score at Methodist Dallas Medical Center from November 2021 to December 2023.

Exclusion Criteria

* Patients with incomplete data and those lost to follow up.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Methodist Health System

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Parvez Mantry, MD

Role: PRINCIPAL_INVESTIGATOR

Methodist Midlothian Medical Center

Locations

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Methodist Dallas Medical Center

Dallas, Texas, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Kavya Vinod Mankulangara, PharmD

Role: CONTACT

214-947-4681

Bethany Brauer, MPH

Role: CONTACT

214-947-4681 ext. 74681

Facility Contacts

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Bethany Brauer, MPH

Role: primary

(214) 947-4681 ext. 71281

Colette Ngo Ndjom, MS

Role: backup

217-947-4681

Other Identifiers

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022.HEP.2023.D

Identifier Type: -

Identifier Source: org_study_id

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