The Efficacy of Anthropometric Indicators in Predicting Non-Alcoholic Fatty Liver Disease Using FibroScan® CAP Values among the Taiwanese Population
- PMID: 37760959
- PMCID: PMC10526368
- DOI: 10.3390/biomedicines11092518
The Efficacy of Anthropometric Indicators in Predicting Non-Alcoholic Fatty Liver Disease Using FibroScan® CAP Values among the Taiwanese Population
Abstract
The controlled attenuation parameter (CAP) measurement obtained from FibroScan® is a low-risk method of assessing fatty liver. This study investigated the association between the FibroScan® CAP values and nine anthropometric indicators, including the abdominal volume index (AVI), body fat percentage (BFP), body mass index (BMI), conicity index (CI), ponderal index (PI), relative fat mass (RFM), waist circumference (WC), waist-hip ratio (WHR), and waist-to-height ratio (WHtR), and risk of non-alcoholic fatty liver disease (fatty liver). We analyzed the medical records of adult patients who had FibroScan® CAP results. CAP values <238 dB/m were coded as 0 (non- fatty liver) and ≥238 dB/m as 1 (fatty liver). An individual is considered to have class 1 obesity when their body mass index (BMI) ranges from 30 kg/m2 to 34.9 kg/m2. Class 2 obesity is defined by a BMI ranging from 35 kg/m2 to 39.9 kg/m2, while class 3 obesity is designated by a BMI of 40 kg/m2 or higher. Out of 1763 subjects, 908 (51.5%) had fatty liver. The BMI, WHtR, and PI were found to be more strongly correlated with the CAP by the cluster dendrogram with correlation coefficients of 0.58, 0.54, and 0.54, respectively (all p < 0.0001). We found that 28.3% of the individuals without obesity had fatty liver, and 28.2% of the individuals with obesity did not have fatty liver. The BMI, CI, and PI were significant predictors of fatty liver. The BMI, PI, and WHtR demonstrated better predictive ability, indicated by AUC values of 0.72, 0.68, and 0.68, respectively, a finding that was echoed in our cluster group analysis that showed interconnected clustering with the CAP. Therefore, of the nine anthropometric indicators we studied, the BMI, CI, PI, and WHtR were found to be more effective in predicting the CAP score, i.e., fatty liver.
Keywords: anthropometric indicators; controlled attenuation parameters; non-alcoholic fatty liver disease.
Conflict of interest statement
The authors declare no conflict of interest.
Figures
Similar articles
-
Comparative analysis of anthropometric indices of obesity as correlates and potential predictors of risk for hypertension and prehypertension in a population in Nigeria.Cardiovasc J Afr. 2017 Mar/Apr 23;28(2):92-99. doi: 10.5830/CVJA-2016-061. Epub 2016 Jul 13. Cardiovasc J Afr. 2017. PMID: 27701484 Free PMC article.
-
Determining the best method for evaluating obesity and the risk for non-communicable diseases in women of childbearing age by measuring the body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, A Body Shape Index, and hip index.Nutrition. 2023 Oct;114:112135. doi: 10.1016/j.nut.2023.112135. Epub 2023 Jun 16. Nutrition. 2023. PMID: 37453224
-
Waist-to-height ratio, an optimal anthropometric indicator for metabolic dysfunction associated fatty liver disease in the Western Chinese male population.Lipids Health Dis. 2021 Oct 27;20(1):145. doi: 10.1186/s12944-021-01568-9. Lipids Health Dis. 2021. PMID: 34706716 Free PMC article.
-
Assessment of the appropriate cutoff points for anthropometric indices and their relationship with cardio-metabolic indices to predict the risk of metabolic associated fatty liver disease.BMC Endocr Disord. 2024 Jun 4;24(1):79. doi: 10.1186/s12902-024-01615-3. BMC Endocr Disord. 2024. PMID: 38834991 Free PMC article.
-
Degree of association between the body mass index (BMI), waist-hip ratio (WHR), waist-height ratio (WHtR), body adiposity index (BAI) and conicity index (CI) in physically active older adults.Clin Nutr ESPEN. 2023 Dec;58:335-341. doi: 10.1016/j.clnesp.2023.10.007. Epub 2023 Oct 14. Clin Nutr ESPEN. 2023. PMID: 38057024
Cited by
-
The insight to history and trends of transient elastography for assessing liver fibrosis-a bibliometric analysis.Quant Imaging Med Surg. 2025 Apr 1;15(4):2971-2986. doi: 10.21037/qims-24-2117. Epub 2025 Mar 13. Quant Imaging Med Surg. 2025. PMID: 40235738 Free PMC article.
-
Relative fat mass and risk of metabolic dysfunction associated steatotic liver disease and severe hepatic steatosis in U.S. adults: analysis of NHANES 2017-2020 data.BMC Gastroenterol. 2025 May 27;25(1):410. doi: 10.1186/s12876-025-04006-7. BMC Gastroenterol. 2025. PMID: 40426055 Free PMC article.
-
Associations between novel anthropometric indices and the prevalence of gallstones among 6,848 adults: a cross-sectional study.Front Nutr. 2024 Jul 22;11:1428488. doi: 10.3389/fnut.2024.1428488. eCollection 2024. Front Nutr. 2024. PMID: 39104753 Free PMC article.
-
Fatty Liver Index vs. Biochemical-Anthropometric Indices: Diagnosing Metabolic Dysfunction-Associated Steatotic Liver Disease with Non-Invasive Tools.Diagnostics (Basel). 2025 Feb 26;15(5):565. doi: 10.3390/diagnostics15050565. Diagnostics (Basel). 2025. PMID: 40075812 Free PMC article.
-
Visceral adiposity index as a predictor of metabolic dysfunction-associated steatotic liver disease: a cross-sectional study.BMC Gastroenterol. 2025 May 1;25(1):326. doi: 10.1186/s12876-025-03957-1. BMC Gastroenterol. 2025. PMID: 40312297 Free PMC article.
References
-
- Lin C.L., Tai C.M., Huang J.F., Liu C.J., Chen H.F., Cheng P.N., Chen C.Y., Peng C.Y., Wang C.C., Weng S.H., et al. The impact of body mass index on clinicopathological features of nonalcoholic fatty liver disease in Taiwan. J. Gastroenterol. Hepatol. 2022;37:1901–1910. doi: 10.1111/jgh.15936. - DOI - PubMed
-
- Center for Disease Control and Prevention About Overweight & Obesity. [(accessed on 28 June 2023)];2023 February 24; Available online: https://www.cdc.gov/obesity/about-obesity/index.html.
Grants and funding
LinkOut - more resources
Full Text Sources
Research Materials
Miscellaneous