Comparison of anthropometric measurements and biochemical parameters to predict non-alcoholic fatty liver disease
Year: 2026
Type: article
Study design: Observational Study
Abstract: Background: NAFLD affects 24%-42% of the Western population, with a higher incidence in India.Objectives: To identify effective anthropometric indicators and biochemical parameters for identifying Non-Alcoholic Fatty Liver Disease (NAFLD) cases, determining the relationship between BMI, waist to hip ratio, LFT, and Fasting lipid profile, and comparing these measurements.Materials and Methods: A study involving 90 patients aged 18-65 with non-alcoholic fatty liver, normal liver enzymes, known cases of HBV, HIV, and HCV, and those consuming over 30g/day alcohol was conducted. A self-administered proforma was designed to ensure a comprehensive study. Anthropometric measurements were taken, and a fasting lipid profile was collected after an overnight fast. A blinded radiologist diagnosed fatty liver using a TOSHIBA XARIO machine and 3.5 MHz convex probe, using ultrasonographic fatty liver to classify hepatic steatosis.Results: A study involving 90 patients, 45 with Non-alcoholic Fatty Liver Disease (NAFLD) and 45 healthy controls, found that the mean age was not significantly different between the two groups. The mean BMI was higher in the NAFLD group but not significantly different. The mean waist circumference and hip circumference were significantly higher in the NAFLD group compared to the control group. The study also found that individuals with NAFLD had significantly higher S. Cholesterol, S. LDL, S. HDL, and S. Triglycerides compared to the control group. However, the mean ALT, AST, GGT, and ALP levels were significantly higher in NAFLD patients compared to the control group. The ROC curve of BMI, WHR, and WHtR reveals a significant large area under the curve for the diagnosis of NAFLD patients.Conclusion: The research highlights the need of integrating anthropometric measures and biochemical markers to predict Non-Alcoholic Fatty Liver Disease, underscoring the necessity for early identification and treatment approaches.
Institution: Santosh University
Language: English
Subfield: Hepatology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $48
OpenAlex ID: W7140169293