Cross‑sectional and longitudinal associations between fatty liver index and kidney function using updated MASLD and CKD–EPI 2021 definitions: a population‑based study with region‑specific cutoffs

  1. 1Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, 6688-8-74616, Iran.
  2. 2Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran.
  3. 3Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute (WHO Collaborating Center), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  4. 4Clinical Research Development Unit, Valiasr Hospital, Fasa University of Medical Sciences, Fasa, Iran.
  5. 5Digestive Disease Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  6. 6Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
  7. 7Department of Medicine, Penn State College of Medicine, Hershey, PA, USA.
  8. 8Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, 6688-8-74616, Iran. Farjam.phd@gmail.com.

Abstract

Background: The updated metabolic dysfunction-associated steatotic liver disease (MASLD) framework highlights the systemic impact of hepatic steatosis, including kidney dysfunction. We investigated both cross-sectional and 5-year longitudinal associations between Fatty Liver Index (FLI) and estimated glomerular filtration rate (eGFR), and between MASLD and Chronic kidney disease (CKD), using region-specific FLI cutoffs and the latest definitions and robust methodology.

Methods: We analyzed 9,911 adults from the Fasa Adults Cohort Study (FACS), including 2,906 with 5-year follow-up. FLI was calculated using sex-specific regionally validated cutoffs. eGFR was estimated using the 2021 CKD-EPI equation. Regression models assessed continuous FLI-eGFR and binary MASLD-CKD associations, with scatter plots to visualize patterns. Models were adjusted for extensive confounders. Subgroup analyses were stratified by sex, obesity, and physical activity, with formal interaction testing. Sensitivity analyses applied the commonly used European FLI ≥ 60 threshold.

Results: Cross-sectionally, MASLD was associated with 58% higher odds of CKD (OR = 1.58; 95% CI 1.35-1.85), and each ten-unit increase in FLI was associated with a 2.4 mL/min/1.73 m2 lower eGFR (p < 0.001). A U-shaped FLI-eGFR association was detected, most prominent in men. Longitudinally, higher FLI predicted greater eGFR decline (β = -1.92; p = 0.005) and MASLD increased CKD risk (OR = 1.41; 95% CI 1.07-1.86), especially among males (OR = 2.27), non-obese (OR = 1.47) and physically active individuals (OR = 1.64). Subgroup differences by obesity and physical activity were descriptive only, as interaction terms were not significant (p > 0.05). Using FLI ≥ 60, cross-sectional results remained significant, whereas longitudinal associations attenuated, suggesting potential misclassification when non-population-specific cutoffs are applied.

Conclusions: Higher FLI and MASLD were associated with impaired kidney function cross-sectionally and prospectively. Region-specific FLI cutoffs resulted in more stable longitudinal associations than the European FLI ≥ 60 threshold, underscoring the relevance of population-calibrated indices. Although sex differences were evident, obesity- and activity-related variations were not statistically confirmed. FLI may offer a practical, scalable tool for early identification of CKD risk. Further studies should validate these findings across diverse populations and assess whether interventions targeting MASLD can mitigate kidney function decline.

Keywords: Chronic kidney disease; Fatty liver; Glomerular filtration rate; Longitudinal studies; Risk factors.

How to Cite

Bazmi S, Fardaei M, Homayounfar R, Kazemi M, Pezeshki B, Malekzadeh R, Ghahramani N, Farjam M. Cross-sectional and longitudinal associations between fatty liver index and kidney function using updated MASLD and CKD-EPI 2021 definitions: a population-based study with region-specific cutoffs. Eur J Med Res. 2025 Dec 15;31(1):42. doi: 10.1186/s40001-025-03645-6. PMID: 41392317; PMCID: PMC12781558.