S2844 Phase 1: Improving FIB-4 Screening in the Underserved Primary Care Setting for At-Risk Populations of Metabolic Dysfunction-Associated Steatotic Liver Disease

Introduction: The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is rising globally (25%–30%), influenced by risk factors such as type 2 diabetes mellitus (T2DM), obesity, hypertension, among others. T2DM is a major risk factor for MASLD, fibrosis progression, and hepatocellular carcinoma. The American Association for the Study of Liver Diseases (AASLD) recommends FIB-4 scoring for risk stratification, but this had not been implemented at the Hartford Hospital Adult Primary Care Clinic, which serves a high-risk, underserved population. Methods: Baseline screening with FIB-4 scoring prior to our interventions was only 0.6%. We utilized the electronic health record (Epic) “smartphrase” known as “.fib4” to self-populate a calculated FIB-4 score based on available laboratory studies and patient age. To improve utilization, we implemented a multi-level strategy that included provider education, workflow integration, and interdisciplinary support. A simplified one-page screening algorithm was emailed to clinic physicians and posted in provider workspaces. To incorporate FIB-4 use into daily workflow, nurses prompted physicians to calculate FIB-4 for patients with T2DM undergoing hemoglobin A1c (Hgb A1c) testing that day. Data was extracted from the clinic database and electronic medical records before (04/20/2023) and after (on 04/20/2025) intervention. We included patients at least 35 years old. Patients who were deceased, no longer active in the clinic, or under 35 years old were excluded. Results: Screening rates improved from 0.6% to 1.9%, a more than threefold increase. Despite this advancement, overall screening rates continue to be suboptimal. Conclusion: Implementing a multidisciplinary screening protocol for MASLD in the primary care clinic significantly increased FIB-4 use. Key barriers included knowledge gaps on the clinical significance associated with FIB-4 screening. We plan to address this with formal educational sessions and pre- and post-education surveys designed to reinforce knowledge retention through active recall techniques. Many patients were ineligible for FIB-4 due to outdated complete blood count or liver function tests which should be checked annually in diabetics. We also identified patients who were not seen during the intervention window due to missed visits which decreases opportunity for screening. Future steps will aim to integrate additional risk factors, including obesity and hypertension, into the screening protocol.

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Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-10-01
DOI
https://doi.org/10.14309/01.ajg.0001138836.02630.14
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

S2844 Phase 1: Improving FIB-4 Screening in the Underserved Primary Care Setting for At-Risk Populations of Metabolic Dysfunction-Associated Steatotic Liver Disease

Amanda Frondella, Neil Khoury, Ruchir Paladiya, Cunegundo Vergara et al.
The American Journal of Gastroenterology
Liver Disease Diagnosis and Treatment
article

S2844 Phase 1: Improving FIB-4 Screening in the Underserved Primary Care Setting for At-Risk Populations of Metabolic Dysfunction-Associated Steatotic Liver Disease

Amanda Frondella, Neil Khoury, Ruchir Paladiya, Cunegundo Vergara, Danzhu Zhao, Nicole Bambara
article en

Abstract

Introduction: The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is rising globally (25%–30%), influenced by risk factors such as type 2 diabetes mellitus (T2DM), obesity, hypertension, among others. T2DM is a major risk factor for MASLD, fibrosis progression, and hepatocellular carcinoma. The American Association for the Study of Liver Diseases (AASLD) recommends FIB-4 scoring for risk stratification, but this had not been implemented at the Hartford Hospital Adult Primary Care Clinic, which serves a high-risk, underserved population. Methods: Baseline screening with FIB-4 scoring prior to our interventions was only 0.6%. We utilized the electronic health record (Epic) “smartphrase” known as “.fib4” to self-populate a calculated FIB-4 score based on available laboratory studies and patient age. To improve utilization, we implemented a multi-level strategy that included provider education, workflow integration, and interdisciplinary support. A simplified one-page screening algorithm was emailed to clinic physicians and posted in provider workspaces. To incorporate FIB-4 use into daily workflow, nurses prompted physicians to calculate FIB-4 for patients with T2DM undergoing hemoglobin A1c (Hgb A1c) testing that day. Data was extracted from the clinic database and electronic medical records before (04/20/2023) and after (on 04/20/2025) intervention. We included patients at least 35 years old. Patients who were deceased, no longer active in the clinic, or under 35 years old were excluded. Results: Screening rates improved from 0.6% to 1.9%, a more than threefold increase. Despite this advancement, overall screening rates continue to be suboptimal. Conclusion: Implementing a multidisciplinary screening protocol for MASLD in the primary care clinic significantly increased FIB-4 use. Key barriers included knowledge gaps on the clinical significance associated with FIB-4 screening. We plan to address this with formal educational sessions and pre- and post-education surveys designed to reinforce knowledge retention through active recall techniques. Many patients were ineligible for FIB-4 due to outdated complete blood count or liver function tests which should be checked annually in diabetics. We also identified patients who were not seen during the intervention window due to missed visits which decreases opportunity for screening. Future steps will aim to integrate additional risk factors, including obesity and hypertension, into the screening protocol.

The American Journal of GastroenterologyVol. 120(10S2)
Openalex Percentile: Top 49%
Liver Disease Diagnosis and Treatment
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