» Articles » PMID: 38487737

Prevalence, Determinants, and Fibrosis Risk Stratification of Metabolic-associated Fatty Liver Disease in a Turkish Primary Care Setting: A Retrospective Study

Overview
Journal Hepatol Forum
Publisher Kare Publishing
Specialty Gastroenterology
Date 2024 Mar 15
PMID 38487737
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Aim: Metabolic-associated fatty liver disease (MAFLD) is a condition that frequently goes unnoticed as it typically remains asymptomatic until progressing to an advanced stage. As a result, it is essential to implement opportunistic screening initiatives within family medicine practices to accurately identify and refer selected at-risk patients to specialized care. This study aims to investigate the prevalence of MAFLD and advanced hepatic fibrosis among primary care patients in Turkiye by utilizing non-invasive tests.

Materials And Methods: We performed a retrospective analysis of prospectively collected data from February 1, 2022, to April 14, 2023, at a Family Medicine Outpatient Clinic. The Hepatic Steatosis Index (HSI) was used to identify fatty liver cases, followed by established MAFLD criteria for diagnosis. Patients were then categorized based on advanced fibrosis risk using the fibrosis-4 (FIB-4) index.

Results: Among the 450 patients who sought primary care during the study period (286 women and 164 men; mean age: 48.2±13.7 years), 295 (65.6%) were diagnosed with MAFLD using HSI values and established criteria. Diabetes mellitus emerged as the sole independent predictor of MAFLD. FIB-4 values classified 242 (82%) and 53 (18%) patients with MAFLD at low and intermediate risk of advanced fibrosis, respectively, with none at high risk.

Conclusion: MAFLD exhibits a notable prevalence among Turkish patients who presented at a Family Medicine Outpatient Clinic. Given the growing impact of metabolic diseases, primary care providers and non-liver specialists should actively participate in MAFLD screening programs.

Citing Articles

Suboptimal reliability of FIB-4 and NAFLD-fibrosis scores for staging of liver fibrosis in general population.

Hazzan R, Abu Ahmad N, Habib A, Saleh I, Ziv N JGH Open. 2024; 8(2):e13034.

PMID: 38380260 PMC: 10877654. DOI: 10.1002/jgh3.13034.


Fatty liver biomarkers and insulin resistance indices in the prediction of non-alcoholic fatty liver disease in Ghanaian patients.

Bockarie A, Nartey Y, Nsiah P, Edzie E, Tuoyire D, Acquah S Endocrinol Diabetes Metab. 2023; 6(6):e456.

PMID: 37814510 PMC: 10638625. DOI: 10.1002/edm2.456.

References
1.
Katic M . Opportunistic screening carried out in the family medicine settings. Croat Med J. 2008; 49(1):110-3. PMC: 2269231. DOI: 10.3325/cmj.2008.1.110. View

2.
Younossi Z, Golabi P, Paik J, Henry A, Van Dongen C, Henry L . The global epidemiology of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH): a systematic review. Hepatology. 2023; 77(4):1335-1347. PMC: 10026948. DOI: 10.1097/HEP.0000000000000004. View

3.
Kaya E, Yilmaz Y . Epidemiology, natural history, and diagnosis of metabolic dysfunction-associated fatty liver disease: a comparative review with nonalcoholic fatty liver disease. Ther Adv Endocrinol Metab. 2022; 13:20420188221139650. PMC: 9747887. DOI: 10.1177/20420188221139650. View

4.
Pal S, Mendez-Sanchez N . Screening for MAFLD: who, when and how?. Ther Adv Endocrinol Metab. 2023; 14:20420188221145650. PMC: 9869195. DOI: 10.1177/20420188221145650. View

5.
Yaman H, Gunes E . Family practice in Turkey: Observations from a pilot implementation. Scand J Prim Health Care. 2016; 34(1):81-2. PMC: 4911021. DOI: 10.3109/02813432.2016.1144432. View