Longitudinal triglyceride-glucose index trajectories and kidney outcomes in patients with metabolic

Jong Hyun Jhee1, Wooram Bae1, Hyo Jeong Kim1

  • 1Division of Nephrology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.

Abstract

Insights

Increasing triglyceride-glucose index (TyGi) levels are linked to a higher risk of kidney problems in individuals with metabolic dysfunction-associated fatty liver disease (MAFLD). This study highlights TyGi as a potential predictor for adverse kidney outcomes in this patient group.

Area of Science:

  • Metabolic health
  • Nephrology
  • Hepatology

Background:

  • Metabolic dysfunction-associated fatty liver disease (MAFLD) is a growing health concern.
  • The triglyceride-glucose index (TyGi) is a recognized marker for metabolic dysfunction.
  • The relationship between TyGi trajectories and kidney outcomes in MAFLD patients remains under-explored.

Purpose of the Study:

  • To investigate the association between longitudinal changes in TyGi and the risk of adverse kidney outcomes.
  • To evaluate TyGi as a potential prognostic marker in patients diagnosed with MAFLD.

Main Methods:

  • Latent class mixture modeling was used to define TyGi trajectories (decreasing vs. increasing) in 868 MAFLD patients.
  • Kidney outcomes included sustained eGFR decline, dialysis initiation, or kidney transplantation.
  • Cause-specific Cox proportional hazard models were employed to assess the risk.

Main Results:

  • Over a median follow-up of 6.9 years, the increasing TyGi trajectory group showed a significantly higher incidence of kidney outcomes (9.06 per 1,000 person-years) compared to the decreasing group (4.02 per 1,000 person-years).
  • The increasing TyGi trajectory was independently associated with a 3.68-fold greater risk of adverse kidney outcomes (HR, 3.68; 95% CI, 1.68-8.05).
  • Subgroup analyses confirmed these consistent findings across different patient strata.

Conclusions:

  • Elevated longitudinal TyGi levels are significantly associated with an increased risk of adverse kidney outcomes in patients with MAFLD.
  • TyGi trajectories may serve as a valuable tool for risk stratification and prediction of kidney disease progression in MAFLD patients.

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