Lipids in Health and Disease (Jan 2024)

Association of remnant cholesterol with decreased kidney function or albuminuria: a population-based study in the U.S.

  • Xuan He,
  • Renfang Zou,
  • Xiaoqiong Du,
  • Kuo Li,
  • Dujuan Sha

DOI
https://doi.org/10.1186/s12944-023-01995-w
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 9

Abstract

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Abstract Background Dyslipidemia is frequently exhibited in individuals with chronic kidney disease (CKD). Remnant cholesterol (RC), an emerging novel lipid marker, plays an elusive role in CKD progression. This study sought to investigate the association of RC with decreased kidney function or albuminuria in the general population of U.S. Method Data were retrieved from the continuous 2001 to 2018 cycle of the National Health and Nutrition Examination Survey (NHANES). Individuals aged between 18 and 70 years were included. RC was divided into quartiles. Albuminuria was defined by albumin-to-creatinine ratio (ACR) ≥30 mg/g, while reduced kidney function was described as an estimated glomerular filtration rate (eGFR) below 60 ml/min/1.73 m2. Using a multivariable regression model, the association of RC with decreased eGFR or albuminuria was examined. The dose‒response relationship between RC and eGFR or ACR was also investigated using a restricted cubic spline (RCS) model. Results A total of 1551 (10.98%) participants with impaired renal function or albuminuria were identified. After multivariate adjustment, RC was not significantly associated with kidney function decline or albuminuria (odds ratio (OR) 1.24, 95% confidence interval (95% CI): 0.95, 1.61). However, a significantly inverse correlation was observed between RC and eGFR in a dose‒response manner (β -2.12, 95% CI: -3.04, -1.21). This association remained consistent when stratifying data by gender, age, race, hypertension, diabetes and body mass index (BMI). Conclusion A higher RC was significantly correlated with a lower eGFR in the general population. The role of RC in predicting kidney outcomes needed further investigation in prospective studies.

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