Association between the triglyceride-glucose index and albuminuria in hypertensive individuals

Clin Exp Hypertens. 2023 Dec 31;45(1):2150204. doi: 10.1080/10641963.2022.2150204.

Abstract

Background: Previous studies have demonstrated that the triglyceride-glucose (TyG) index is significantly associated with vascular damage. Albuminuria is a marker of hypertension-mediated organ damage (HMOD) and has been linked to a greater risk of cardiovascular disease (CVD). However, the association between the TyG index and albuminuria in patients with hypertension is not clear. This population research focused on subjects with hypertension to investigate the association between an elevated TyG index and albuminuria.

Methods: From September 2019 to November 2019, 789 hypertensive participants were involved in our research. Logistic regression models were performed to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for albuminuria according to the quartiles of the TyG index.

Results: Multivariate logistic regression analysis revealed that the TyG index was significantly associated with albuminuria. Using the lowest TyG index quartile as the reference, the fully adjusted ORs (95% CIs) for albuminuria for TyG index quartile II, quartile III, and quartile IV were 1.90 (1.17-3.12), 1.81 (1.07-3.07), and 3.46 (2.06-5.91), respectively. The results in the subgroup analysis were similar to the main analyses except for the smokers. Restricted cubic spline curves based on logistic regression models evaluated the linear association between the TyG index and albuminuria (P for nonlinear = 0.831).

Conclusion: The TyG index was positively associated with albuminuria among hypertensive participants.

Keywords: The triglyceride-glucose index; albuminuria; elderly; hypertension; insulin resistance.

MeSH terms

  • Albuminuria
  • Biomarkers
  • Blood Glucose
  • Cardiovascular Diseases*
  • Glucose
  • Humans
  • Hypertension* / complications
  • Risk Factors
  • Triglycerides

Substances

  • Glucose
  • Triglycerides
  • Blood Glucose
  • Biomarkers