Determining the Association of Cardiometabolic Parameters with Liver Fibrosis in Non-Diabetic Patients with Nonalcoholic Fatty Liver

Homeira  Rashidi; Eskandar  Hajiani; Bahman  Ghaderian; Fatemeh  Amiri; Saeed  Hesam; Mohadeseh  Asadi

doi:10.18502/jimc.v8i3.18800

Homeira Rashidi Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
Eskandar Hajiani Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
Bahman Ghaderian Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
Fatemeh Amiri Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
Saeed Hesam Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
Mohadeseh Asadi Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

DOI: https://doi.org/10.18502/jimc.v8i3.18800

Keywords: Cardiometabolic indicators, Fibrosis, Non-alcoholic fatty liver, Steatosis

Abstract

Background: There is an association between Cardiometabolic Parameters (CPs) and liver fibrosis in Non-Alcoholic Fatty Liver Disease (NAFLD). This study investigated the relationship between CPs with liver fibrosis and steatosis in NAFLD.

Methods: Fatty liver severity, fibrosis, and steatosis were determined by elastography in patients with NAFLD. CPs, including the Atherogenic Index of Plasma (AIP), Lipid Accumulation Product (LAP), Cardiometabolic Index (CMI), and Lipoprotein Combination Index (LCI), were calculated.

Results: 170 subjects with NAFLD were included. No associations between CMI (p=0.456), AIP (p=0.44), LCI (p=0.822), and LAP (p=0.599) with fibrosis were found. Also, no associations were found between CMI (p=0.429), AIP (p=0.398), LCI (p=0.095), and LAP (p=0.788) with steatosis. The 0.52 cutoff of AIP index has 0.6 area under curve (AUC) for F3 and F4 diagnosis (95%CI:0.574-0.722) (p=0.010). 2.16 cutoff of CMI has 0.6 AUC for F3 and F4 diagnosis (95%CI: 0.56-0.709) (p=0.02). The CMI (p=0.023), AIP (p=0.011), and LAP (p=0.035) were significantly higher in men. Multivariant analysis revealed that patients with waist circumference (W.C)≥90 (OR=3.07, 95%CI (1.38, 6.83) (p=0.006), waist-to-hip Ratio (WHR)>0.88 in males and >0.83 in females OR=3.96, 95% CI (1.48, 10.61) (p=0.006), waist-to-height ratio (WHtR)>0.5 OR=2.79, 95%CI (1.08, 7.21)(p=0.034) have higher odds for fibrosis development.

Conclusion: Our data demonstrated there is no association between CPs with steatosis and fibrosis. CMI and AIP have favorable predictive value in high-grade fibrosis. Our data also revealed that W.C≥90, WHR>0.88 or 0.83, and WHtR>0.5 are associated with fibrosis.