The Predictive Value of Albumin-to-Creatinine Ratio on Mortality and Its Mediation in Metabolic Dysfunction-Associated Steatotic Liver Disease Among U.S. Adults: Insights from NHANES 1999–2018 - Summary - MDSpire

The Predictive Value of Albumin-to-Creatinine Ratio on Mortality and Its Mediation in Metabolic Dysfunction-Associated Steatotic Liver Disease Among U.S. Adults: Insights from NHANES 1999–2018

  • By

  • Huanjie Zhou

  • Hao Huang

  • Huiliu Zhao

  • Naiqi Pang

  • Meifang Huang

  • Chao Ou

  • Ming Lao

  • November 19, 2025

  • 0 min

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Objective:

To investigate the relationship between albumin-to-creatinine ratio (ACR) and mortality in U.S. adults with metabolic dysfunction-associated steatotic liver disease (MASLD) and to explore ACR's mediating role in linking diabetes and hypertension to mortality, specifically hypothesizing that elevated ACR correlates with increased mortality risk.

Key Findings:
  • Elevated ACR is associated with increased risk of all-cause and cardiovascular mortality in MASLD patients, suggesting ACR's role as a critical biomarker.
  • ACR mediates the relationship between diabetes and hypertension and mortality outcomes, indicating potential pathways for intervention.
  • The study highlights the importance of ACR as a biomarker for systemic metabolic risk in MASLD, with implications for clinical risk assessment.
Interpretation:

The findings suggest that ACR is a significant predictor of mortality in adults with MASLD and may serve as a useful clinical tool for risk stratification in this population.

Limitations:
  • The study is observational and cannot establish causation, which limits the interpretation of the findings.
  • Potential biases in self-reported data and missing information may affect results, particularly in the context of comorbidities.
  • The definitions of MASLD may vary, impacting the generalizability of findings to broader populations.
Conclusion:

ACR is a valuable prognostic marker in MASLD, linking metabolic dysfunction to mortality, which could inform clinical management strategies and improve patient outcomes.

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