The Efficacy of Anthropometric Indicators in Predicting Non-Alcoholic Fatty Liver Disease Using FibroScan® CAP Values among the Taiwanese Population

Author:

Lee Meng-Szu12,Felipe-Dimog Eva Belingon13ORCID,Yang Jeng-Fu2,Chen Yi-Yu2,Wu Kuan-Ta2,Kuo Hsiang-Ju2,Lin Tzu-Chun45,Wang Chao-Ling2,Hsieh Meng-Hsuan256ORCID,Lin Chia-Yi2,Batsaikhan Batbold7ORCID,Ho Chi-Kung12,Wu Ming-Tsang18910,Dai Chia-Yen25611ORCID

Affiliation:

1. Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung City 807, Taiwan

2. Health Management Center, Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan

3. Nursing Department, Mountain Province State Polytechnic College, Bontoc 2616, Mountain Province, Philippines

4. Executive Master of Healthcare Administration, Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University Hospital, Kaohsiung City 80756, Taiwan

5. Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan

6. School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan

7. Department of Internal Medicine, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar 14210, Mongolia

8. Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan

9. Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan

10. Ph.D. Program in Environmental and Occupational Medicine, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan

11. Drug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung City 87056, Taiwan

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.

Funder

National Science Council of Taiwan

Kaohsiung Medical University Hospital

Publisher

MDPI AG

Subject

General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

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