» Articles » PMID: 25204761

Non-invasive Score Identifies Ultrasonography-diagnosed Non-alcoholic Fatty Liver Disease and Predicts Mortality in the USA

Overview
Journal BMC Med
Publisher Biomed Central
Specialty General Medicine
Date 2014 Sep 11
PMID 25204761
Citations 24
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Several non-invasive prediction scores for non-alcoholic fatty liver disease (NAFLD) have been developed, but their performance has not been compared and validated in the same population, and whether these prediction scores can predict clinical outcomes remains unknown. In this study, we aimed to validate and compare the performance of four NAFLD prediction scores: fatty liver index, hepatic steatosis index, lipid accumulation product, and NAFLD liver fat score (LFS), and to evaluate the ability of the best NAFLD prediction score to predict mortality.

Methods: We analyzed data from the National Health and Nutrition Examination Survey conducted in 1988 to 1994, and subsequent follow-up data for mortality up to December 31, 2006. NAFLD was defined by ultrasonographic detection of hepatic steatosis in the absence of other known liver diseases.

Results: In a group of 5,184 participants, LFS consistently showed the highest area under the curve for predicting the presence of NAFLD. During a median follow-up of 14.7 years (range 0.1 to 18.2 years) and 83,830.5 person-years, participants in the high LFS group (LFS ≥1.257) had a higher cardiovascular and liver-related mortality than participants in the low (LFS ≤ -1.413; cardiovascular hazard ratio (HR) = 2.24, 95% CI 1.03 to 4.88; liver HR = 31.25, 95% CI 3.13 to 333.33) or intermediate (-1.413 < LFS < 1.257; cardiovascular HR = 2.3, 95% CI 1.19 to 4.48; liver HR = 30.3, 95% CI 4 to 250) LFS groups in the fully adjusted model. Similar results were obtained when LFS was treated as a continuous variable.

Conclusions: LFS is the best non-invasive prediction score for NAFLD, and people with a high LFS score have an increased risk for cardiovascular and liver-related mortality.

Citing Articles

Prevalence of Transaminitis and Metabolic Dysfunction-Associated Steatotic Liver Disease Among Young Indian Adults-A Population-Based Study.

Nair A, Puthiyaveettil Khadar J, Mohan Preetha A, Chellamma J, Devadas K, Kaur Gandhi T J Clin Exp Hepatol. 2025; 15(3):102466.

PMID: 39868010 PMC: 11760320. DOI: 10.1016/j.jceh.2024.102466.


Prevalence of Metabolic-associated Fatty Liver Disease in Mexico and Development of a Screening Tool: The MAFLD-S Score.

Ruiz-Manriquez J, Olivas-Martinez A, Chavez-Garcia L, Fernandez-Ramirez A, Moctezuma-Velazquez C, Kauffman-Ortega E Gastro Hep Adv. 2024; 1(3):352-358.

PMID: 39131679 PMC: 11308440. DOI: 10.1016/j.gastha.2021.12.011.


Biomarkers of Hepatic Dysfunction and Cardiovascular Risk.

Lee Jr T, Kueh M, Jain V, Razavi A, Alebna P, Chew N Curr Cardiol Rep. 2023; 25(12):1783-1795.

PMID: 37971635 PMC: 10902719. DOI: 10.1007/s11886-023-01993-5.


Lipid accumulation product (LAP) index for the diagnosis of nonalcoholic fatty liver disease (NAFLD): a systematic review and meta-analysis.

Ebrahimi M, Seyedi S, Nabipoorashrafi S, Rabizadeh S, Sarzaeim M, Yadegar A Lipids Health Dis. 2023; 22(1):41.

PMID: 36922815 PMC: 10015691. DOI: 10.1186/s12944-023-01802-6.


The lipid accumulation product is a powerful tool to diagnose metabolic dysfunction-associated fatty liver disease in the United States adults.

Li H, Zhang Y, Luo H, Lin R Front Endocrinol (Lausanne). 2022; 13:977625.

PMID: 36407325 PMC: 9672518. DOI: 10.3389/fendo.2022.977625.


References
1.
Ratziu V, Bellentani S, Cortez-Pinto H, Day C, Marchesini G . A position statement on NAFLD/NASH based on the EASL 2009 special conference. J Hepatol. 2010; 53(2):372-84. DOI: 10.1016/j.jhep.2010.04.008. View

2.
Musso G, Gambino R, Durazzo M, Cassader M . Noninvasive assessment of liver disease severity with liver fat score and CK-18 in NAFLD: Prognostic value of liver fat equation goes beyond hepatic fat estimation. Hepatology. 2009; 51(2):715-7. DOI: 10.1002/hep.23255. View

3.
Koehler E, Schouten J, Hansen B, Hofman A, Stricker B, Janssen H . External validation of the fatty liver index for identifying nonalcoholic fatty liver disease in a population-based study. Clin Gastroenterol Hepatol. 2013; 11(9):1201-4. DOI: 10.1016/j.cgh.2012.12.031. View

4.
Poynard T, Ratziu V, Naveau S, Thabut D, Charlotte F, Messous D . The diagnostic value of biomarkers (SteatoTest) for the prediction of liver steatosis. Comp Hepatol. 2005; 4:10. PMC: 1327680. DOI: 10.1186/1476-5926-4-10. View

5.
Pencina M, DAgostino Sr R, DAgostino Jr R, Vasan R . Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2007; 27(2):157-72. DOI: 10.1002/sim.2929. View